Paper
30 August 2022 Seismic damage analysis on reinforced concrete frames using a global damage algorithm
Jizhi Su, Haliang Wu, Wuchen Zhang, Mingfu Li, Yamin Wang, Nan Cheng
Author Affiliations +
Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123092U (2022) https://doi.org/10.1117/12.2645482
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China
Abstract
The study on seismic collapse-resistance of buildings needs viewing from multi-parameter and multi-level aspects due to the discrete and systematic characteristics. The damage evolution strides over multiple hierarchies, i.e. components hierarchy, storeys hierarchy and structures hierarchy, as there exist differences and association in evolution law and damage distribution between each level. Three 1/3-scaled reinforced concrete frame models with three-bay and three-story were tested under reversed loading. By defining “importance coefficients” for different structural members, a damage model was established based on component category and the quantitative deduction of structural collapse was accomplished subsequently. On this basis, corresponding seismic analysis of RC frames was carried out. Test results indicate that the structural damage was concentrated on the column bottoms and beam ends of the first floor. The beams had positive effect on slowing the damage growth at pre-loading stage, full development of plastic hinges at beam ends was beneficial to reduce the failure level.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jizhi Su, Haliang Wu, Wuchen Zhang, Mingfu Li, Yamin Wang, and Nan Cheng "Seismic damage analysis on reinforced concrete frames using a global damage algorithm", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123092U (30 August 2022); https://doi.org/10.1117/12.2645482
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KEYWORDS
Earthquakes

Analytical research

Buildings

Failure analysis

Reverse modeling

Motion models

Calibration

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