Machine learning and nonlinear models for the estimation of fundamental period of vibration of masonry infilled RC frame structures-Reference-Cited by-同舟云学术

Machine learning and nonlinear models for the estimation of fundamental period of vibration of masonry infilled RC frame structures

Published:2020-08 Issue: Volume:216 Page:110765
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Charalampakis Aristotelis E.,Tsiatas George C.,Kotsiantis Sotiris B.

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference23 articles.

1. Parameters affecting the fundamental period of infilled RC frame structures;Asteris;Earthq Struct,2015

2. Fundamental period of infilled reinforced concrete frame structures;Asteris;Struct Infrastruct Eng,2017

3. (ATC) ATC. Tentative Provision for the development of seismic regulations for buildings; 1978.

4. CEN CE de N. Eurocode 8: Design of Structures for Earthquake Resistance—Part 1: General Rules. Seismic Actions and Rules for Buildings 2004:EN 1998-1.

5. Period formulas for moment-resisting frame buildings;Goel;J Struct Eng,1997

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