A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques-Reference-Cited by-同舟云学术

A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques

Published:2023-09 Issue: Volume:19 Page:101388
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Thisovithan P.,Aththanayake Harinda,Meddage D.P.P.,Ekanayake I.U.,Rathnayake Upaka^ORCID

Funder

University of Moratuwa

Publisher

Elsevier BV

Subject

General Engineering

Reference57 articles.

1. The influence of masonry infill on the seismic behaviour of RC frame buildings;Fiore;Eng. Struct.,2012

2. A new approach to predict the Fundamental Period of vibration for newly-designed reinforced concrete buildings;Ruggieri;J. Earthq. Eng.,2022

3. Machine learning techniques to predict the fundamental period of infilled reinforced concrete frame buildings;Yahiaoui;Structures,2023

4. Machine learning and nonlinear models for the estimation of fundamental period of vibration of masonry infilled RC frame structures;Charalampakis;Eng. Struct.,2020

5. Explainable machine learning aided optimization of masonry infilled reinforced concrete frames;Latif;Structures,2022

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