Prof. Jerome P. Lynch Profile

Prof. Jerome P. Lynch

SPIE Involvement:

Conference Program Committee | Author | Editor

Publications (69)

Proceedings Article | 24 March 2021 Presentation + Paper

Use of transient pressure data in a drinking water transmission system to assess pipe reliability

Wentao Wang, Omid Bahrami, John Norton, Steve Jin, Curt Wolf, Jerome Lynch

Proceedings Volume 11591, 1159107 (2021) https://doi.org/10.1117/12.2583764

KEYWORDS: Water, Spatial analysis, Statistical analysis, Reliability, Systems modeling, Statistical modeling, Data modeling, Complex systems

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Proceedings Article | 1 April 2019 Presentation + Paper

Long-term wireless monitoring solution for the risk management of highway retaining walls

Kidus Admassu, Jerome Lynch, Adda Athanasopoulos-Zekkos, Dimitrios Zekkos

Proceedings Volume 10971, 1097103 (2019) https://doi.org/10.1117/12.2516081

KEYWORDS: Sensors, Aluminum, Data acquisition, Inspection, Optical inspection, Intelligent highways

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Proceedings Article | 27 March 2019 Paper

Vision-based precision localization of UAVs for sensor payload placement and pickup for field monitoring applications

Hao Zhou, Jerome Lynch, Dimitrios Zekkos

Proceedings Volume 10970, 1097007 (2019) https://doi.org/10.1117/12.2516049

KEYWORDS: Unmanned aerial vehicles, Cameras, Sensors, Filtering (signal processing), Detection and tracking algorithms, Machine vision, Computer vision technology, Magnetism, Global Positioning System, Visualization

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Proceedings Article | 27 March 2019 Paper

Reidentification of trucks in highway corridors using convolutional neural networks to link truck weights to bridge responses

Rui Hou, Seongwoon Jeong, Kincho Law, Jerome Lynch

Proceedings Volume 10970, 109700P (2019) https://doi.org/10.1117/12.2515617

KEYWORDS: Bridges, Sensors, Cameras, Structural health monitoring, Imaging systems, Network architectures, Feature extraction, Roads, Computer vision technology, Video

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The widespread availability of cost-effective sensing technologies is translating into an increasing number of highway bridges being instrumented with structural health monitoring (SHM) systems. Current bridge SHM systems are only capable of measuring bridge responses and lack the ability to directly measure the traffic loads inducing bridge responses. The output-only nature of the monitoring data available often leaves damage detection algorithms ill-posed and incapable of robust detection. Attempting to overcome this challenge, this study leverages state-of-the-art computer vision techniques to establish a means of reliably acquiring load data associated with the trucks inducing bridge responses. Using a cyberenabled highway corridor consisting of cameras, bridge monitoring systems, and weigh-in-motion (WIM) stations, computer vision methods are used to track trucks as they excite bridges and pass WIM stations where their weight parameters are acquired. Convolutional neural network (CNN) methods are used to develop automated vehicle detectors embedded in GPU-enabled cameras along highway corridors to identify and track trucks from real-time traffic video. Detected vehicles are used to trigger the bridge monitoring systems to ensure structural responses are captured when trucks pass. In the study, multiple one-stage object detection CNN architectures have been trained using a customized dataset to identify various types of vehicles captured at multiple locations along a highway corridor. YOLOv3 is selected for its competitive speed and precision in identifying trucks. A customized CNN-based embedding network is trained following a triplet architecture to convert each truck image into a feature vector and the Euclidean distance of two feature vectors is used as a measure of truck similarity for reidentification purposes. The performance of the CNN-based feature extract is proved to be more robust than a hand-crafted method. Reidentification of the same vehicle allows truck weights measured at the WIM station to be associated with measured bridge responses collected by bridge monitoring systems.

Proceedings Article | 27 March 2018 Paper

Spatial strain measurements using a strain-sensing grid patterned from nanocomposite films

Peng Sun, Andrew Burton, Jerome Lynch

Proceedings Volume 10598, 1059808 (2018) https://doi.org/10.1117/12.2301022

KEYWORDS: Sensors, Thin films, Nanocomposites, Optical lithography

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In recent years, interest has grown in the development of sensing skins for structural health monitoring (SHM) with electrical impedance tomography (EIT) used to image skin properties. The computational e ort associated with the inverse solver of EIT is very large and sometimes the final reconstructed strain map derived does not correspond to the true state of the system. To reduce the large computational effort associated with EIT reconstruction of large unpatterned thin films, this study fabricates a patterned spatial strain sensor made from single-walled carbon nanotube (SWCNT) nanocomposite films. The thin nanocomposite strain sensing films are fabricated on a flexible polyimide substrate by using a layer-by-layer (LbL) deposition process. Rather than using a plain/unpatterned film as previously proposed in EIT-based approaches, a grid of piezoresistive nanocomposite strip elements are patterned. The 2D grid arrangement of the nanocomposite sensing elements is achieved using optical lithography. Metal electrodes are deployed at the boundary nodes by physical vapor deposition (PVD) and are connected to wires for controlled current injection and electric potential measurements. In order to infer the strain distribution of a structure using the patterned strain sensing skin, there is a need to have a robust inverse solver. Ohm's and Kircho's laws are used to derived the Neumann-to-Dirichlet map of the rectangular resistor network. The Neumann-to-Dirichlet operator is represented by a matrix which is a function of the resistance distribution. The inverse solution obtains the resistance of each grid element by updating the Neumann-to-Dirichlet operator to drive convergence between the boundary potential measurement taken of the film and those predicted by the forward solution. The inverse solver has been validated by simulations and experiments of a square resistor network of 3 by 3 (node by node) and 4 by 4 resistor grids. Preliminary results show that the proposed inverse solver is accurate for 2D strain measurement using the patterned strain sensing grid.

Proceedings Article | 27 March 2018 Paper

Identification of bone fracture in osseointegrated prostheses using Rayleigh wave methods

Wentao Wang, Jerome Lynch

Proceedings Volume 10600, 106000T (2018) https://doi.org/10.1117/12.2301023

KEYWORDS: Bone, Titanium, Actuators, Sensors, Wave propagation, Structural health monitoring, Time-frequency analysis

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Proceedings Article | 19 April 2017 Paper

Numerical and experimental simulation of linear shear piezoelectric phased arrays for structural health monitoring

Wentao Wang, Hui Zhang, Jerome Lynch, Carlos E. Cesnik, Hui Li

Proceedings Volume 10169, 1016912 (2017) https://doi.org/10.1117/12.2262945

KEYWORDS: Aluminum, Damage detection, Phased arrays, Structural health monitoring, Nondestructive evaluation, Wave plates, Waveguides, Laser Doppler velocimetry, Numerical simulations

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Proceedings Article | 12 April 2017 Paper

Utilization of wireless structural health monitoring as decision making tools for a condition and reliability-based assessment of railroad bridges

Katherine Flanigan, Nephi Johnson, Rui Hou, Mohammed Ettouney, Jerome Lynch

Proceedings Volume 10168, 101681X (2017) https://doi.org/10.1117/12.2262933

KEYWORDS: Earthquakes, Bridges, Reliability, Sensors, Structural health monitoring, Solar cells, Inspection, Data processing, Failure analysis, Data modeling

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Proceedings Article | 12 April 2017 Paper

A distributed cloud-based cyberinfrastructure framework for integrated bridge monitoring

Seongwoon Jeong, Rui Hou, Jerome Lynch, Hoon Sohn, Kincho Law

Proceedings Volume 10168, 101682W (2017) https://doi.org/10.1117/12.2270716

KEYWORDS: Bridges, Data modeling, Clouds, Databases, Structural health monitoring, Sensors, Information fusion, System integration, Safety, Computing systems, Web services, Roads, Finite element methods, Sensor networks

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Proceedings Article | 12 April 2017 Presentation + Paper

Ultrasonic longitudinal waves to monitor the integration of titanium rods with host bone

Wentao Wang, Jerome Lynch

Proceedings Volume 10168, 1016829 (2017) https://doi.org/10.1117/12.2264500

KEYWORDS: Bone, Titanium, Waveguides, Semiconducting wafers, Ultrasonics, Actuators, Sensors, Interfaces, Ferroelectric materials, Wave propagation

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Proceedings Article | 22 April 2016 Presentation + Paper

Communication analysis for feedback control of civil infrastructure using cochlea-inspired sensing nodes

Courtney Peckens, Ireana Cook, Jerome Lynch

Proceedings Volume 9797, 97970Q (2016) https://doi.org/10.1117/12.2218878

KEYWORDS: Feedback control, Biomimetics, Wireless communications, Biosensing, Biological research, Sensor networks, Sensors, Analog filtering, Time-frequency analysis, Active remote sensing, Neurons, Control systems, Receptors, Electronic filtering, Telecommunications

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Proceedings Article | 20 April 2016 Paper

Demonstration of UAV deployment and control of mobile wireless sensing networks for modal analysis of structures

Hao Zhou, Mitsuhito Hirose, William Greenwood, Yong Xiao, Jerome Lynch, Dimitrios Zekkos, Vineet Kamat

Proceedings Volume 9803, 98031X (2016) https://doi.org/10.1117/12.2223441

KEYWORDS: Unmanned aerial vehicles, Sensors, Modal analysis, Robotics, Cameras, Digital signal processing, Sensor networks, Neodymium, Sensing systems, Data communications

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Proceedings Article | 20 April 2016 Paper

A cloud-based information repository for bridge monitoring applications

Seongwoon Jeong, Yilan Zhang, Rui Hou, Jerome Lynch, Hoon Sohn, Kincho Law

Proceedings Volume 9803, 980313 (2016) https://doi.org/10.1117/12.2219064

KEYWORDS: Bridges, Databases, Sensors, Clouds, Data modeling, Roads, Finite element methods, Standards development, Systems modeling, Data storage

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Proceedings Article | 20 April 2016 Paper

Fully integrated patterned carbon nanotube strain sensors on flexible sensing skin substrates for structural health monitoring

Andrew Burton, Masahiro Kurata, Hiromichi Nishino, Jerome Lynch

Proceedings Volume 9803, 98030S (2016) https://doi.org/10.1117/12.2222501

KEYWORDS: Sensors, Sensing systems, Thin films, Polymers, Carbon nanotubes, Skin, Structural health monitoring, Composites, Optical lithography, Damage detection

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Proceedings Article | 3 April 2015 Paper

Heat transfer computed tomography techniques for damage detection in metallic structures

Nephi Johnson, Jerome Lynch, Ann Jeffers

Proceedings Volume 9435, 943529 (2015) https://doi.org/10.1117/12.2086845

KEYWORDS: Sensors, Fourier transforms, Damage detection, Finite element methods, Infrared cameras, Temperature sensors, Computed tomography, Wavefronts, Phased arrays, Temperature metrology

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Proceedings Article | 1 April 2015 Paper

Automated outlier detection framework for identifying damage states in multi-girder steel bridges using long-term wireless monitoring data

Sean O'Connor, Yilan Zhang, Jerome Lynch

Proceedings Volume 9437, 94370N (2015) https://doi.org/10.1117/12.2086273

KEYWORDS: Bridges, Sensors, Data modeling, Data processing, Composites, General packet radio service, Corrosion, Statistical analysis, Data storage, Structural health monitoring

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Proceedings Article | 10 April 2014 Paper

Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system

Sean O'Connor, Yilan Zhang, Jerome Lynch, Mohammed Ettouney, Gwen van der Linden

Proceedings Volume 9063, 90630Y (2014) https://doi.org/10.1117/12.2045244

KEYWORDS: Bridges, Sensors, Data modeling, Composites, Structural health monitoring, Data acquisition, Inspection, Sensor networks, Roads, Damage detection

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A worthy goal for the structural health monitoring field is the creation of a scalable monitoring system architecture that abstracts many of the system details (e.g., sensors, data) from the structure owner with the aim of providing “actionable” information that aids in their decision making process. While a broad array of sensor technologies have emerged, the ability for sensing systems to generate large amounts of data have far outpaced advances in data management and processing. To reverse this trend, this study explores the creation of a cyber-enabled wireless SHM system for highway bridges. The system is designed from the top down by considering the damage mechanisms of concern to bridge owners and then tailoring the sensing and decision support system around those concerns. The enabling element of the proposed system is a powerful data repository system termed SenStore. SenStore is designed to combine sensor data with bridge meta-data (e.g., geometric configuration, material properties, maintenance history, sensor locations, sensor types, inspection history). A wireless sensor network deployed to a bridge autonomously streams its measurement data to SenStore via a 3G cellular connection for storage. SenStore securely exposes the bridge meta- and sensor data to software clients that can process the data to extract information relevant to the decision making process of the bridge owner. To validate the proposed cyber-enable SHM system, the system is implemented on the Telegraph Road Bridge (Monroe, MI). The Telegraph Road Bridge is a traditional steel girder-concrete deck composite bridge located along a heavily travelled corridor in the Detroit metropolitan area. A permanent wireless sensor network has been installed to measure bridge accelerations, strains and temperatures. System identification and damage detection algorithms are created to automatically mine bridge response data stored in SenStore over an 18-month period. Tools like Gaussian Process (GP) regression are used to predict changes in the bridge behavior as a function of environmental parameters. Based on these analyses, pertinent behavioral information relevant to bridge management is autonomously extracted.

Proceedings Article | 10 April 2014 Paper

Free-standing carbon nanotube composite sensing skin for distributed strain sensing in structures

Andrew Burton, Kaede Minegishi, Masahiro Kurata, Jerome Lynch

Proceedings Volume 9061, 906123 (2014) https://doi.org/10.1117/12.2045258

KEYWORDS: Sensors, Skin, Thin films, Optical lithography, Composites, Nanocomposites, Sensing systems, Carbon nanotubes, Chemical elements, Resistance

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The technical challenges of managing the health of critical infrastructure systems necessitate greater structural sensing capabilities. Among these needs is the ability for quantitative, spatial damage detection on critical structural components. Advances in material science have now opened the door for novel and cost-effective spatial sensing solutions specially tailored for damage detection in structures. However, challenges remain before spatial damage detection can be realized. Some of the technical challenges include sensor installations and extensive signal processing requirements. This work addresses these challenges by developing a patterned carbon nanotube composite thin film sensor whose pattern has been optimized for measuring the spatial distribution of strain. The carbon nanotube-polymer nanocomposite sensing material is fabricated on a flexible polyimide substrate using a layer-by-layer deposition process. The thin film sensors are then patterned into sensing elements using optical lithography processes common to microelectromechanical systems (MEMS) technologies. The sensor array is designed as a series of sensing elements with varying width to provide insight on the limitations of such patterning and implications of pattern geometry on sensing signals. Once fabrication is complete, the substrate and attached sensor are epoxy bonded to a poly vinyl composite (PVC) bar that is then tested with a uniaxial, cyclic load pattern and mechanical response is characterized. The fabrication processes are then utilized on a larger-scale to develop and instrument a component-specific sensing skin in order to observe the strain distribution on the web of a steel beam. The instrumented beam is part of a larger steel beam-column connection with a concrete slab in composite action. The beam-column subassembly is laterally loaded and strain trends in the web are observed using the carbon nanotube composite sensing skin. The results are discussed in the context of understanding the properties of the thin film sensor and how it may be advanced toward structural sensing applications.

Proceedings Article | 10 April 2014 Paper

Development of an extensible dual-core wireless sensing node for cyber-physical systems

Michael Kane, Dapeng Zhu, Mitsuhito Hirose, Xinjun Dong, Benjamin Winter, Mortiz Häckell, Jerome Lynch, Yang Wang, A. Swartz

Proceedings Volume 9061, 90611U (2014) https://doi.org/10.1117/12.2045325

KEYWORDS: Sensors, Control systems, Microcontrollers, Standards development, Analog electronics, Actuators, Feedback control, Control systems design, Computing systems, Wind turbine technology

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Proceedings Article | 9 March 2014 Paper

Implementation of damage detection algorithms for the Alfred Zampa Memorial Suspension Bridge

I. Talebinejad, H. Sedarat, A. Emami-Naeini, A. Krimotat, Jerome Lynch

Proceedings Volume 9063, 906312 (2014) https://doi.org/10.1117/12.2044539

KEYWORDS: Bridges, Damage detection, Detection and tracking algorithms, Structural health monitoring, Finite element methods, Computer simulations, Numerical analysis, Electromagnetic simulation

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Proceedings Article | 9 March 2014 Paper

Real-time estimation of the structural response using limited measured data

Hassan Sedarat, Iman Talebinejad, Abbas Emami-Naeini, David Falck, Gwendolyn van der Linden, Farid Nobari, Alex Krimotat, Jerome Lynch

Proceedings Volume 9063, 906311 (2014) https://doi.org/10.1117/12.2044617

KEYWORDS: Bridges, Finite element methods, Data analysis, Software, Structural health monitoring

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Proceedings Article | 19 April 2013 Paper

Embedded linear classifiers on wireless sensor networks for damage detection

Courtney Peckens, Jerome Lynch

Proceedings Volume 8692, 86920V (2013) https://doi.org/10.1117/12.2010127

KEYWORDS: Damage detection, Sensors, Sensor networks, Classification systems, Cooling systems, Algorithm development, Data processing, Detection and tracking algorithms, Antimony, Analytical research

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Proceedings Article | 19 April 2013 Paper

Cochlea-inspired sensing node for compressive sensing

Courtney Peckens, Jerome Lynch

Proceedings Volume 8692, 86921E (2013) https://doi.org/10.1117/12.2010125

KEYWORDS: Sensors, Electronic filtering, Sensing systems, Structural monitoring, Telecommunications, Signal processing, Nervous system, Bandpass filters, Earthquakes, Data acquisition

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Proceedings Article | 11 April 2013 Paper

Implementation of a compressive sampling scheme for wireless sensors to achieve energy efficiency in a structural health monitoring system

Sean O'Connor, Jerome Lynch, Anna Gilbert

Proceedings Volume 8694, 86941L (2013) https://doi.org/10.1117/12.2010128

KEYWORDS: Sensors, Compressed sensing, Bridges, Structural health monitoring, Energy efficiency, Data acquisition, Reconstruction algorithms, Wireless communications, Magnetic sensors, Modal analysis

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Proceedings Article | 11 April 2013 Paper

Cyber-infrastructure design and implementation for structural health monitoring

Gwendolyn van der Linden, Abbas Emami-Naeini, Yilan Zhang, Jerome Lynch

Proceedings Volume 8694, 869419 (2013) https://doi.org/10.1117/12.2010445

KEYWORDS: Databases, Bridges, Data modeling, Sensors, Data storage, Human-machine interfaces, Structural health monitoring, Inspection, Data processing, Finite element methods

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Proceedings Article | 5 April 2012 Paper

Distributed cyberinfrastructure tools for automated data processing of structural monitoring data

Yilan Zhang, Masahiro Kurata, Jerome Lynch, Gwendolyn van der Linden, Hassan Sederat, Atul Prakash

Proceedings Volume 8347, 83471Y (2012) https://doi.org/10.1117/12.916050

KEYWORDS: Sensors, Bridges, Databases, Data processing, Sensor networks, Inspection, Data conversion, Structural health monitoring, Data acquisition, Data modeling

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Proceedings Article | 5 April 2012 Paper

Finite Element model updating of a skewed highway bridge using a multi-variable sensitivity-based optimization approach

Amir Mosavi, Hassan Sedarat, Sean O'Connor, Abbas Emami-Naeini, Vince Jacob, Alex Krimotat, Jerome Lynch

Proceedings Volume 8347, 834727 (2012) https://doi.org/10.1117/12.916163

KEYWORDS: Bridges, Calibration, Process modeling, Sensors, Optimization (mathematics), Finite element methods, Composites, Matrices, Data modeling, Shape analysis

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Proceedings Article | 5 April 2012 Paper

Nonlinear modeling of the vehicle/structure interaction on a skewed highway bridge using an iterative uncoupled approach

Amir Mosavi, Mainak Mitra, Gwendolyn van der Linden, Tim Gordon, Hassan Sedarat, Abbas Emami-Naeini, Vince Jacob, Alex Krimotat, Mark Gilbert, Jerome Lynch

Proceedings Volume 8347, 834728 (2012) https://doi.org/10.1117/12.916187

KEYWORDS: Bridges, 3D modeling, Motion models, Finite element methods, Roads, Mathematical modeling, Chemical elements, Composites, Calibration, Software development

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Proceedings Article | 26 March 2012 Paper

Heterogeneous wireless sensor networks for computational partitioning of Markov parameter-based system identification

Jeff Bergman, Junhee Kim, Jerome Lynch

Proceedings Volume 8345, 83450N (2012) https://doi.org/10.1117/12.916055

KEYWORDS: Sensor networks, Sensors, Data modeling, System identification, Clocks, Energy efficiency, Matrices, Data transmission, Computing systems, Wireless communications

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Proceedings Article | 18 April 2011 Paper

Long-term assessment of an autonomous wireless structural health monitoring system at the new Carquinez Suspension Bridge

Masahiro Kurata, Junhee Kim, Yilan Zhang, Jerome Lynch, G. van der Linden, Vince Jacob, Ed Thometz, Pat Hipley, Li-Hong Sheng

Proceedings Volume 7983, 798312 (2011) https://doi.org/10.1117/12.880145

KEYWORDS: Bridges, Sensors, Sensor networks, Data communications, Data modeling, Databases, Wireless communications, Inspection, System identification, Telecommunications

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A dense network of sensors installed in a bridge can continuously generate response data from which the health and condition of the bridge can be analyzed. This approach to structural health monitoring the efforts associated with periodic bridge inspections and can provide timely insight to regions of the bridge suspected of degradation or damage. Nevertheless, the deployment of fine sensor grids on large-scale structures is not feasible using wired monitoring systems because of the rapidly increasing installation labor and costs required. Moreover, the enormous size of raw sensor data, if not translated into meaningful forms of information, can paralyze the bridge manager's decision making. This paper reports the development of a large-scale wireless structural monitoring system for long-span bridges; the system is entirely wireless which renders it low-cost and easy to install. Unlike central tethered data acquisition systems where data processing occurs in the central server, the distributed network of wireless sensors supports data processing. In-network data processing reduces raw data streams into actionable information of immediate value to the bridge manager. The proposed wireless monitoring system has been deployed on the New Carquinez Suspension Bridge in California. Current efforts on the bridge site include: 1) long-term assessment of a dense wireless sensor network; 2) implementation of a sustainable power management solution using solar power; 3) performance evaluation of an internet-enabled cyber-environment; 4) system identification of the bridge; and 5) the development of data mining tools. A hierarchical cyber-environment supports peer-to-peer communication between wireless sensors deployed on the bridge and allows for the connection between sensors and remote database systems via the internet. At the remote server, model calibration and damage detection analyses that employ a reduced-order finite element bridge model are implemented.

Proceedings Article | 18 April 2011 Paper

Mechanical and electrical characterization of self-sensing carbon black ECC

Vincent W. Lin, Mo Li, Jerome Lynch, Victor Li

Proceedings Volume 7983, 798316 (2011) https://doi.org/10.1117/12.880178

KEYWORDS: Carbon, Cements, Electrodes, Particles, Composites, Actuators, Structural monitoring, Sensors, Silver, Civil engineering

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Proceedings Article | 18 April 2011 Paper

The development of chloride ion selective polypyrrole thin film on a layer-by-layer carbon nanotube working electrode

Yang Liu, Jerome Lynch

Proceedings Volume 7983, 798315 (2011) https://doi.org/10.1117/12.880063

KEYWORDS: Ions, Thin films, Electrodes, Polymers, Polymerization, Carbon nanotubes, Single walled carbon nanotubes, Nanolithography, Environmental sensing, Sensors

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Proceedings Article | 14 April 2011 Paper

Distributed neural computations for embedded sensor networks

Courtney Peckens, Jerome Lynch, Jin-Song Pei

Proceedings Volume 7981, 79811U (2011) https://doi.org/10.1117/12.880057

KEYWORDS: Neural networks, Sensors, Sensor networks, Telecommunications, Data processing, Structural health monitoring, Evolutionary algorithms, Wireless communications, Systems modeling, Complex systems

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Proceedings Article | 14 April 2011 Paper

Monitoring of vehicle-bridge interaction using mobile and static wireless sensor networks

Junhee Kim, Jerome Lynch, Jong-Jae Lee, Chang-Geun Lee

Proceedings Volume 7981, 79811J (2011) https://doi.org/10.1117/12.880150

KEYWORDS: Bridges, Sensors, Ferroelectric polymers, Filtering (signal processing), Sensor networks, Roads, Electronic filtering, Structural health monitoring, Wireless communications, Data communications

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Proceedings Article | 9 April 2010 Paper

Behavior of full-scale concrete segmented pipelines under permanent ground displacements

Junhee Kim, Sean O'Connor, Srinivasa Nadukuru, Jerome Lynch, Radoslaw Michalowski, Russell Green, Mohammed Pour-Ghaz, W. Jason Weiss, Aaron Bradshaw

Proceedings Volume 7650, 76500U (2010) https://doi.org/10.1117/12.847735

KEYWORDS: Sensors, Earthquakes, Actuators, Epoxies, Data acquisition, Landslide (networking), Optical inspection, Soil science, Civil engineering, Inspection

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Proceedings Article | 9 April 2010 Paper

A two-tiered self-powered wireless monitoring system architecture for bridge health management

Masahiro Kurata, Jerome Lynch, Tzeno Galchev, Michael Flynn, Patrick Hipley, Vince Jacob, Gwendolyn van der Linden, Amir Mortazawi, Khalil Najafi, Rebecca Peterson, Li-Hong Sheng, Dennis Sylvester, Edward Thometz

Proceedings Volume 7649, 76490K (2010) https://doi.org/10.1117/12.848212

KEYWORDS: Sensors, Bridges, Wireless communications, Data communications, Telecommunications, Structural health monitoring, Amplitude modulation, Inspection, Data processing, Prototyping

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Proceedings Article | 9 April 2010 Paper

Near-optimal sensor placement for health monitoring of civil structures

Gwendolyn van der Linden, Abbas Emami-Naeini, Robert Kosut, Hassan Sederat, Jerome Lynch

Proceedings Volume 7649, 76490N (2010) https://doi.org/10.1117/12.847704

KEYWORDS: Sensors, Error analysis, Bridges, Convex optimization, Finite element methods, Optimization (mathematics), Motion models, Systems modeling, Structural health monitoring, Cesium

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Proceedings Article | 9 April 2010 Paper

Smart antenna technology for structural health monitoring applications

Tayfun Özdemir, Yuriy Goykhman, Larry Oberdier, Jerome Lynch

Proceedings Volume 7649, 76490M (2010) https://doi.org/10.1117/12.847602

KEYWORDS: Antennas, Polarization, Signal to noise ratio, Connectors, Structural health monitoring, Switches, Control systems, Copper, Sensors, Beam steering

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Proceedings Article | 1 April 2010 Paper

US-Korea collaborative research for bridge monitoring test beds

C. Yun, H. Sohn, J. Lee, S. Park, M. Wang, Y. Zhang, J. Lynch

Proceedings Volume 7647, 76473J (2010) https://doi.org/10.1117/12.847470

KEYWORDS: Bridges, Sensors, Structural health monitoring, Active sensors, Civil engineering, Damage detection, Ferroelectric materials, Environmental monitoring, Internet, Smart structures

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Proceedings Article | 1 April 2010 Paper

Automated mode shape estimation in agent-based wireless sensor networks

Andrew Zimmerman, Jerome Lynch

Proceedings Volume 7647, 76472A (2010) https://doi.org/10.1117/12.847689

KEYWORDS: Sensors, Sensor networks, Algorithm development, Data processing, Wireless communications, Data modeling, Structural health monitoring, Data communications, Prototyping, Reliability

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Proceedings Article | 1 April 2010 Paper

Automated wind load characterization of wind turbine structures by embedded model updating

R. Andrew Swartz, Andrew Zimmerman, Jerome Lynch

Proceedings Volume 7647, 76470J (2010) https://doi.org/10.1117/12.847697

KEYWORDS: Sensors, Algorithms, Wind energy, Sensor networks, Algorithm development, Analog electronics, Renewable energy, Wind measurement, Data modeling, Wind turbine technology

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Proceedings Article | 8 April 2009 Paper

Layer-by-layer carbon nanotube bio-templates for in situ monitoring of the metabolic activity of nitrifying bacteria

Kenneth Loh, Jeremy Guest, Genevieve Ho, Jerome Lynch, Nancy Love

Proceedings Volume 7295, 72951T (2009) https://doi.org/10.1117/12.815995

KEYWORDS: Nanocomposites, Resistance, Thin films, Sensors, Bacteria, Electrodes, Environmental sensing, Oxygen, Environmental monitoring, Carbon nanotubes

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Proceedings Article | 8 April 2009 Paper

Experimental study on the behavior of segmented buried concrete pipelines subject to ground movements

Junhee Kim, Jerome Lynch, Radoslaw Michalowski, Russell Green, Mohammed Pour-Ghaz, W. Jason Weiss, Aaron Bradshaw

Proceedings Volume 7294, 729419 (2009) https://doi.org/10.1117/12.816001

KEYWORDS: Sensors, Actuators, Optical inspection, Fourier transforms, Soil science, Data acquisition, Civil engineering, Transducers, Earthquakes, Epoxies

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Proceedings Article | 8 April 2009 Paper

Overview of a cyber-enabled wireless monitoring system for the protection and management of critical infrastructure systems

Jerome Lynch, Vineet Kamat, Victor Li, Michael Flynn, Dennis Sylvester, Khalil Najafi, Timothy Gordon, Michael Lepech, Abbas Emami-Naeini, Alex Krimotat, Mohammed Ettouney, Sharada Alampalli, Tayfun Ozdemir

Proceedings Volume 7294, 72940L (2009) https://doi.org/10.1117/12.821874

KEYWORDS: Sensors, Bridges, Inspection, Data modeling, Data processing, Finite element methods, Structural health monitoring, Antennas, Internet, Sensing systems

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Proceedings Article | 30 March 2009 Paper

Reconfigurable wireless monitoring systems for bridges: validation on the Yeondae Bridge

Junhee Kim, Jerome Lynch, Daniele Zonta, Jong-Jae Lee, Chung-Bang Yun

Proceedings Volume 7292, 72920T (2009) https://doi.org/10.1117/12.816007

KEYWORDS: Bridges, Sensors, Data communications, Modal analysis, Structural monitoring, Roads, Data acquisition, Wireless communications, Inspection, Telecommunications

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Proceedings Article | 10 April 2008 Paper

Decentralized wireless structural sensing and control with multiple system architectures operating at different sampling frequencies

Yang Wang, R. Andrew Swartz, Andrew Zimmerman, Amy Askin, Jerome Lynch, Kincho Law, Kung-Chun Lu, Chin-Hsiung Loh

Proceedings Volume 6935, 69350T (2008) https://doi.org/10.1117/12.776624

KEYWORDS: Feedback control, Control systems, Sensors, Wireless communications, Actuators, Data communications, Telecommunications, Transceivers, Structural sensing, Matrices

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Proceedings Article | 8 April 2008 Paper

Piezoelectric polymeric thin films tuned by carbon nanotube fillers

Junhee Kim, Kenneth Loh, Jerome Lynch

Proceedings Volume 6932, 693232 (2008) https://doi.org/10.1117/12.774256

KEYWORDS: Composites, Ferroelectric polymers, Dielectric polarization, Dielectrics, Crystals, Polymers, Thin films, Polymer thin films, Scanning electron microscopy, Single walled carbon nanotubes

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Proceedings Article | 8 April 2008 Paper

Distributed data processing within dense networks of wireless sensors using parallelized model updating techniques

Andrew Zimmerman, Jerome Lynch

Proceedings Volume 6934, 69340V (2008) https://doi.org/10.1117/12.776470

KEYWORDS: Sensors, Data modeling, Sensor networks, Systems modeling, Data processing, Motion models, Sensing systems, Algorithms, Wireless communications, Stochastic processes

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Proceedings Article | 8 April 2008 Paper

Spatial structural sensing by carbon nanotube-based skins

Kenneth Loh, Tsung-Chin Hou, Jerome Lynch, Nicholas Kotov

Proceedings Volume 6932, 693207 (2008) https://doi.org/10.1117/12.776564

KEYWORDS: Skin, Corrosion, Electrodes, Nanocomposites, Sensors, Carbon, Structural health monitoring, Aluminum, Finite element methods, Chemical elements

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Proceedings Article | 19 April 2007 Paper

Performance evaluation of decentralized wireless sensing and control in civil structures

Yang Wang, R. Andrew Swartz, Jerome Lynch, Kincho Law, Chin-Hsiung Loh

Proceedings Volume 6531, 653113 (2007) https://doi.org/10.1117/12.715976

KEYWORDS: Control systems, Sensors, Actuators, Feedback control, Wireless communications, Numerical simulations, Prototyping, Telecommunications, Sensing systems, Data communications

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Proceedings Article | 10 April 2007 Paper

Electrical impedance tomography of carbon nanotube composite materials

Tsung-Chin Hou, Kenneth Loh, Jerome Lynch

Proceedings Volume 6529, 652926 (2007) https://doi.org/10.1117/12.715663

KEYWORDS: Thin films, Carbon nanotubes, Composites, Nanolithography, Tomography, Single walled carbon nanotubes, Associative arrays, Electrodes, Sensors, Data acquisition

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Proceedings Article | 10 April 2007 Paper

Passive wireless strain and pH sensing using carbon nanotube-gold nanocomposite thin films

Kenneth Loh, Jerome Lynch, Nicholas Kotov

Proceedings Volume 6529, 652919 (2007) https://doi.org/10.1117/12.715826

KEYWORDS: Sensors, Thin films, Antennas, Resistance, Capacitance, Nanocomposites, Capacitors, Carbon, Nanolithography, Inductance

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Proceedings Article | 10 April 2007 Paper

Reliable information management in a low-cost wireless structural monitoring and control network

Yang Wang, Jerome Lynch, Kincho Law, Chin-Hsiung Loh, Ahmed Elgamal

Proceedings Volume 6529, 65291J (2007) https://doi.org/10.1117/12.715970

KEYWORDS: Sensors, Wireless communications, Control systems, Telecommunications, Data communications, Actuators, Control systems design, Structural health monitoring, Structural monitoring, Sensing systems

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Proceedings Article | 10 April 2007 Paper

Application of a wireless sensing and control system to control a torsion-coupling building with MR-dampers

Sung-Chieh Hsu, Kung-Chun Lu, Pei-Yang Lin, Chin-Hsiung Loh, Jerome Lynch

Proceedings Volume 6529, 652944 (2007) https://doi.org/10.1117/12.711628

KEYWORDS: Control systems, Sensors, Sensing systems, Wireless communications, Earthquakes, Data acquisition, Telecommunications, Algorithm development, Data communications, Electroluminescence

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Proceedings Article | 11 April 2006 Paper

Ambient vibration study of Gi-Lu cable-stay bridge: application of wireless sensing units

Kung-Chun Lu, Yang Wang, J. Lynch, C. H. Loh, Yen-Jiun Chen, P. Y. Lin, Z. K. Lee

Proceedings Volume 6174, 61741D (2006) https://doi.org/10.1117/12.658308

KEYWORDS: Bridges, Sensors, Stochastic processes, Sensing systems, Finite element methods, Data modeling, Autoregressive models, Shape analysis, Vibrometry, Wireless communications

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Proceedings Article | 11 April 2006 Paper

Mechanical-electrical characterization of carbon-nanotube thin films for structural monitoring applications

Kenneth Loh, Jerome Lynch, Nicholas Kotov

Proceedings Volume 6174, 61741Z (2006) https://doi.org/10.1117/12.658896

KEYWORDS: Thin films, Single walled carbon nanotubes, Sensors, Resistance, Carbon nanotubes, Structural monitoring, Nanolithography, Metals, Polymers, Microelectromechanical systems

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Proceedings Article | 16 March 2006 Paper

Rapid-to-deploy wireless monitoring systems for static and dynamic load testing of bridges: validation on the Grove Street Bridge

Tsung-Chin Hou, Jerome Lynch

Proceedings Volume 6178, 61780D (2006) https://doi.org/10.1117/12.658902

KEYWORDS: Bridges, Sensors, Wheatstone bridges, Fourier transforms, Structural monitoring, Cements, Composites, Finite element methods, Epoxies, Microelectromechanical systems

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Proceedings Article | 15 March 2006 Paper

Wireless feedback structural control with embedded computing

Yang Wang, Andrew Swartz, Jerome Lynch, Kincho Law, Kung-Chun Lu, Chin-Hsiung Loh

Proceedings Volume 6177, 61770C (2006) https://doi.org/10.1117/12.658908

KEYWORDS: Control systems, Sensors, Wireless communications, Actuators, Data communications, Telecommunications, Transceivers, Feedback control, Prototyping, Microcontrollers

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Proceedings Article | 17 May 2005 Paper

Conductivity-based strain monitoring and damage characterization of fiber reinforced cementitious structural components

Tsung-Chin Hou, Jerome Lynch

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.599955

KEYWORDS: Cements, Resistance, Active remote sensing, Composites, Carbon, Interfaces, Bridges, Sensors, Polarization, Structured optical fibers

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Proceedings Article | 9 May 2005 Paper

Local-based damage detection of cyclically loaded bridge piers using wireless sensing units

Tsung-Chin Hou, Jerome Lynch, Gustavo Parra-Montesinos

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.599948

KEYWORDS: Bridges, Sensors, Data modeling, Cements, Damage detection, Tolerancing, Earthquakes, Resistance, Structured optical fibers, Composites

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Proceedings Article | 9 May 2005 Paper

Design of a low-power wireless structural monitoring system for collaborative computational algorithms

Yang Wang, Jerome Lynch, Kincho Law

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.600387

KEYWORDS: Sensors, Wireless communications, Data communications, Sensing systems, Telecommunications, Bridges, Structural health monitoring, Structural monitoring, Data acquisition, Prototyping

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Proceedings Article | 9 May 2005 Paper

Investigation of data quality in a wireless sensing unit composed of off-the-shelf components

Jin-Song Pei, Chetan Kapoor, Troy Graves-Abe, Yohanes Sugeng, Nadim Ferzli, Jerome Lynch

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.600330

KEYWORDS: Sensors, Analog electronics, Signal attenuation, Buildings, Microcontrollers, Data transmission, Data acquisition, Digital signal processing, Data conversion, Sensing systems

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Proceedings Article | 29 July 2004 Paper

Linear classification of system poles for structural damage detection using piezoelectric active sensors

Jerome Lynch

Proceedings Volume 5391, (2004) https://doi.org/10.1117/12.539949

KEYWORDS: Damage detection, Active sensors, Active remote sensing, Data modeling, Aluminum, Image classification, Structural monitoring, Sensors, Autoregressive models, Classification systems

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Proceedings Article | 21 July 2004 Paper

Design of a wireless active sensing unit for structural health monitoring

Jerome Lynch, Arvind Sundararajan, Kincho Law, Hoon Sohn, Charles Farrar

Proceedings Volume 5394, (2004) https://doi.org/10.1117/12.545572

KEYWORDS: Active remote sensing, Data modeling, Active sensors, Sensors, Aluminum, Damage detection, Actuators, Structural health monitoring, Structural monitoring, Prototyping

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Proceedings Article | 14 July 2004 Paper

Wireless structural monitoring for homeland security applications

Garo Kiremidjian, Anne Kiremidjian, Jerome Lynch

Proceedings Volume 5395, (2004) https://doi.org/10.1117/12.539946

KEYWORDS: Sensors, Homeland security, Structural monitoring, Environmental sensing, Sensing systems, Data processing, Chemical analysis, Corrosion, Environmental monitoring, Data communications

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Proceedings Article | 18 August 2003 Paper

Time synchronization algorithms for wireless monitoring system

Ying Lei, Anne Kiremidjian, K. Nair, Jerome Lynch, Kincho Law

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482771

KEYWORDS: Buildings, Data modeling, Autoregressive models, Sensing systems, Computer simulations, Sensors, Structural health monitoring, Earthquakes, Error analysis, Clocks

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Proceedings Article | 18 August 2003 Paper

Field validation of a wireless structural monitoring system on the Alamosa Canyon Bridge

Jerome Lynch, Arvind Sundararajan, Kincho Law, Anne Kiremidjian, Ed Carryer, Hoon Sohn, Charles Farrar

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482712

KEYWORDS: Bridges, Sensors, Sensing systems, Structural monitoring, Wireless communications, Microcontrollers, Data communications, Data acquisition, Prototyping, Microelectromechanical systems

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Proceedings Article | 18 August 2003 Paper

Two-tiered wireless sensor network architecture for structural health monitoring

Venkata Kottapalli, Anne Kiremidjian, Jerome Lynch, Ed Carryer, Thomas Kenny, Kincho Law, Ying Lei

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482717

KEYWORDS: Sensors, Transceivers, Structural monitoring, Network architectures, Sensor networks, Clocks, Data communications, Earthquakes, Data acquisition, Data conversion

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Proceedings Article | 28 June 2002 Paper

Validation of a wireless modular monitoring system for structures

Jerome Lynch, Kincho Law, Anne Kiremidjian, John Carryer, Thomas Kenny, Aaron Partridge, Arvind Sundararajan

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472548

KEYWORDS: Sensors, Analog electronics, Microcontrollers, Sensing systems, Data acquisition, Data communications, Transducers, Wireless communications, Microelectromechanical systems, Magnesium

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Showing 5 of 69 publications

Proceedings Volume Editor (10)

SPIE Conference Volume | 9 July 2019

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019

SPIE Conference Volume | 2 July 2018

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018

SPIE Conference Volume | 9 August 2017

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017

SPIE Conference Volume | 29 July 2016

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016

SPIE Conference Volume | 11 May 2015

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015

Showing 5 of 10 publications

Conference Committee Involvement (41)

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

25 March 2024 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII

13 March 2023 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI

7 March 2022 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV

22 March 2021 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV

27 April 2020 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII

4 March 2019 | Denver, Colorado, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

4 March 2019 | Denver, Colorado, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII

5 March 2018 | Denver, Colorado, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

5 March 2018 | Denver, Colorado, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

26 March 2017 | Portland, Oregon, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI

26 March 2017 | Portland, Oregon, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

21 March 2016 | Las Vegas, Nevada, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure X

21 March 2016 | Las Vegas, Nevada, United States

Health Monitoring of Structural and Biological Systems X

21 March 2016 | Las Vegas, Nevada, United States

Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure IX

9 March 2015 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

9 March 2015 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems IX

9 March 2015 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VIII

10 March 2014 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VIII

10 March 2014 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

10 March 2014 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VII

11 March 2013 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VII

10 March 2013 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

10 March 2013 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems VI

12 March 2012 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VI

12 March 2012 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

12 March 2012 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

7 March 2011 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems V

7 March 2011 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security V

7 March 2011 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security IV

8 March 2010 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

8 March 2010 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems IV

8 March 2010 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems III

9 March 2009 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security III

9 March 2009 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

9 March 2009 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems II

10 March 2008 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

10 March 2008 | San Diego, California, United States

Health Monitoring of Structural and Biological Systems

19 March 2007 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

19 March 2007 | San Diego, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

27 February 2006 | San Diego, California, United States

Health Monitoring and Smart NDE of Structural and Biological Systems V

27 February 2006 | San Diego, CA, United States

Showing 5 of 41 Conference Committees

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