Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks-Reference-Cited by-同舟云学术

Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks

Published:2018-06 Issue: Volume:165 Page:120-141
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

Reference55 articles.

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2. EC8 (Eurocode 8). Design of structures for earthquake resistance - part 1: general rules, seismic actions and rules for buildings. European Committee for Standardization; 2005.

3. ATC. Earthquake damage evaluation data for California. Redwood City (CA): Applied Technology Council; 1985 [ATC-13 Report].

4. Anagnos T, Rojahn C, Kiremidjian AS. NCEER-ATC joint study on fragility of buildings. Technical Report NCEER 95–0003, State Univ. of New York at Buffalo: National Center for Earth. Eng. Research; 1995.

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

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