A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network

Kazutoshi Tsutsumi, Kazuhiko Komono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In structure design, a radical conversion from the traditional specifications design method to the performance design method is being considered. Considering performance design from the viewpoint of the seismic performance, the problem of response control of the structure for the predicted earthquakes becomes an important theme. The accurate estimation of the response of the structure for the predicted earthquakes is necessary for the response control of the structure. There are many studies for the response estimation of the structures (Kinugasa, 1996), (Nakamura, 1998). This paper reports that the response displacement based on the energy theory for the Reinforced Concrete (RC) structures can be estimated accurately by introducing the hysteresis energy coefficient (CE). But, it is difficult to determine CE theoretically, because CE has complicated functions. However, a neural network is effective for identifying such a function. In this paper, CE is determined by a neural network's training.

Original languageEnglish
Title of host publicationComputing in Civil and Building Engineering
EditorsR. Fruchter, F. Pena-Mora, W.M.K. Roddis, R. Fruchter, F. Pena-Mora, W.M.K. Roddis
Pages1121-1128
Number of pages8
Publication statusPublished - 2000 Dec 1
EventProceedings of the Eight International Conference on: Computing in Civil and Building Engineering - Stanford, CA, United States
Duration: 2000 Aug 142000 Aug 16

Publication series

NameComputing in Civil and Building Engineering
Volume2

Conference

ConferenceProceedings of the Eight International Conference on: Computing in Civil and Building Engineering
CountryUnited States
CityStanford, CA
Period00/8/1400/8/16

ASJC Scopus subject areas

  • Engineering(all)

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