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
Volume2
Publication statusPublished - 2000
EventProceedings of the Eight International Conference on: Computing in Civil and Building Engineering - Stanford, CA
Duration: 2000 Aug 142000 Aug 16

Other

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

Fingerprint

Reinforced concrete
Plastics
Neural networks
Earthquakes
Concrete construction
Hysteresis
Specifications

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Tsutsumi, K., & Komono, K. (2000). A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network. In R. Fruchter, F. Pena-Mora, W. M. K. Roddis, R. Fruchter, F. Pena-Mora, & W. M. K. Roddis (Eds.), Computing in Civil and Building Engineering (Vol. 2, pp. 1121-1128)

A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network. / Tsutsumi, Kazutoshi; Komono, Kazuhiko.

Computing in Civil and Building Engineering. ed. / R. Fruchter; F. Pena-Mora; W.M.K. Roddis; R. Fruchter; F. Pena-Mora; W.M.K. Roddis. Vol. 2 2000. p. 1121-1128.

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

Tsutsumi, K & Komono, K 2000, A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network. in R Fruchter, F Pena-Mora, WMK Roddis, R Fruchter, F Pena-Mora & WMK Roddis (eds), Computing in Civil and Building Engineering. vol. 2, pp. 1121-1128, Proceedings of the Eight International Conference on: Computing in Civil and Building Engineering, Stanford, CA, 00/8/14.
Tsutsumi K, Komono K. A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network. In Fruchter R, Pena-Mora F, Roddis WMK, Fruchter R, Pena-Mora F, Roddis WMK, editors, Computing in Civil and Building Engineering. Vol. 2. 2000. p. 1121-1128
Tsutsumi, Kazutoshi ; Komono, Kazuhiko. / A response displacement estimation method for RC S.D.O.F. elasto-plastic structures using by neural network. Computing in Civil and Building Engineering. editor / R. Fruchter ; F. Pena-Mora ; W.M.K. Roddis ; R. Fruchter ; F. Pena-Mora ; W.M.K. Roddis. Vol. 2 2000. pp. 1121-1128
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