Construction quality inspection method of permeable concrete pavement in urban landscape engineering based on data mining

Xiaohua Feng

doi:10.1117/12.3004384

16 August 2023 Construction quality inspection method of permeable concrete pavement in urban landscape engineering based on data mining

Xiaohua Feng

Author Affiliations +

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 127870M (2023) https://doi.org/10.1117/12.3004384
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

The current construction quality detection structure of permeable concrete pavement is mostly single processing, which reduces the detection efficiency and easily leads to an increase in the mean difference of compressive strength. Therefore, the design and verification research on the construction quality detection method of permeable concrete pavement of urban landscape engineering based on data mining is proposed. According to the change of actual measurement demand, set basic detection indicators and evaluation standards, conduct compressive strength measurement and permeability coefficient calculation, adopt the form of multi-objective, build a data mining detection structure, improve the detection efficiency, and use Dynatest secondary measurement to achieve quality detection. The final test results show that the mean difference of compressive strength of Hutuo River Ecological Environment Restoration Project 41+500~45+200 permeable concrete sections is well controlled 2.5 through comparative study of the five set detection nodes, indicating that this detection method has strong pertinence, wide detection range, controllable error, and practical application value.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaohua Feng "Construction quality inspection method of permeable concrete pavement in urban landscape engineering based on data mining", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 127870M (16 August 2023); https://doi.org/10.1117/12.3004384

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available