Comparative evaluation of MFP and RBF neural networks’ ability for instant estimation of r/c buildings’ seismic damage level-Reference-Cited by-同舟云学术

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Comparative evaluation of MFP and RBF neural networks’ ability for instant estimation of r/c buildings’ seismic damage level

Published:2019-10 Issue: Volume:197 Page:109436
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Morfidis Konstantinos,Kostinakis Konstantinos

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference70 articles.

1. Seismic evaluation and retrofit of existing buildings;ASCE/SEI 41-13,2014

2. Earthquake damage evaluation data for California;ATC,1985

3. FEMA-154. Rapid visual screening of buildings for potential seismic hazards: a handbook (FEMA-154), 2nd ed., Washington, DC; 2002.

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

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

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