An interpretable machine learning method for the prediction of R/C buildings' seismic response-Reference-Cited by-同舟云学术

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An interpretable machine learning method for the prediction of R/C buildings' seismic response

Published:2023-01 Issue: Volume:63 Page:105493
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Demertzis Konstantinos,Kostinakis Konstantinos^ORCID,Morfidis Konstantinos^ORCID,Iliadis Lazaros

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference69 articles.

1. Seismic Evaluation and Retrofit of Existing Buildings,2014

2. Earthquake Damage Evaluation Data for California,1985

3. Rapid Visual Screening of Buildings for Potential Seismic Hazards: a Handbook (FEMA-154),2002

4. Rapid assessment of seismic demand in existing building structures;Tsang;Struct. Des. Tall Special Build.,2009

5. A hybrid method for the vulnerability assessment of R/C and URM buildings;Kappos;Bull. Earthq. Eng.,2006

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1. Machine learning modelling of structural response for different seismic signal characteristics: A parametric analysis;Applied Soft Computing;2024-10

2. Interpretable machine learning models for displacement demand prediction in reinforced concrete buildings under pulse-like earthquakes;Journal of Building Engineering;2024-10

3. Machine-learning-aided regional post-seismic usability prediction of buildings: 2016–2017 Central Italy earthquakes;Journal of Building Engineering;2024-08

4. A numerical model database for rapid seismic damage assessment of typical regular reinforced concrete frame structures in urban building clusters;Journal of Building Engineering;2024-08

5. Machine-Learning Applications in Structural Response Prediction: A Review;Practice Periodical on Structural Design and Construction;2024-08

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