Machine learning-aided scenario-based seismic drift measurement for RC moment frames using visual features of surface damage-Reference-Cited by-同舟云学术

Machine learning-aided scenario-based seismic drift measurement for RC moment frames using visual features of surface damage

Published:2022-12 Issue: Volume:205 Page:112195
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Hamidia Mohammadjavad,Mansourdehghan Sina,Asjodi Amir Hossein,Dolatshahi Kiarash M.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference63 articles.

1. M.-H.L.E.M. FEMA, Earthquake Model HAZUS® MH MR4 Technical Manual, National Institute of Building Sciences, Washington, DC. (2019).

2. G.G. Deierlein, H. Krawinkler, C.A. Cornell, A framework for performance-based earthquake engineering G.G., in: 2003 Pacific Conference on Earthquake Engineering, 2003.

3. FEMA P-58, Seismic Performance Assessment of Buildings - methodology, Fema P-58-1. 1 (2012).

4. D.C. Washington, FEMA 307 EVALUATION OF EARTHQUAKE DAMAGED CONCRETE AND MASONRY WALL BUILDINGS Technical Resources The Partnership for Response and Recovery, 1998.

5. Post-earthquake damage evaluation of non-ductile RC moment frames using surface crack patterns;Hamidia;Struct Control Health Monit,2022

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tree-based machine learning models for predicting the bond strength in reinforced recycled aggregate concrete;Asian Journal of Civil Engineering;2024-09-02

2. Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and GEP models;Case Studies in Construction Materials;2024-07

3. Data-driven crack image-based seismic failure mode identification for damaged RC columns;Engineering Failure Analysis;2024-06

4. Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake;Advances in Engineering Software;2024-04

5. Prediction and design of mechanical properties of origami-inspired braces based on machine learning;AI in Civil Engineering;2024-03-21