Use of the Artificial Neural Networks to Estimate the DRF for Eurocode 8

被引:8
作者
Benahmed, Baizid [1 ]
Hamoutenne, Malek [2 ]
机构
[1] Univ Djelfa, Civil Engn Dept, Djelfa 17000, Algeria
[2] Polytech Natl Sch ENP, Dept Civil Engn, Ave Freres Ouddak,BP 182, Algiers 16200, Algeria
来源
PERIODICA POLYTECHNICA-CIVIL ENGINEERING | 2018年 / 62卷 / 02期
关键词
ground motions; Damping Reduction Factor (DRF); Artificial Neural Networks (ANN); Eurocode; 8; DAMPING MODIFICATION FACTORS; RESPONSE SPECTRA; REDUCTION FACTORS; GROUND MOTIONS; EARTHQUAKE; BUILDINGS; SYSTEMS;
D O I
10.3311/PPci.8139
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The damping reduction factor (DRF) is used in earthquake engineering in order to estimate the seismic response of buildings with high damping ratio from the one which has damping ratio equal to 5%. Many expressions were given to this factor as a function of different parameters in literature. The concern of these formulations is to find a simple and a reliable formulation, which presents a challenge. This is the major reason to look for a new simple method to estimate the DRF values with a good approximation. The primary objective of this work is to develop a new method to estimate the DRF using Artificial Neural Networks (ANN). This method is developed for the seismic Eurocode 8 (EC8). In a first step, seeking for sets of ground motions records that gives as average the best approximation of the target spectra of EC8. Afterward, those records are used to estimates the exact response spectra and the DRF values in function of damping ratio xi and period (T) through a time History Analysis. In a second step, those results are used as neural networks database to predict the DRF in function of and T The proposed approach is original and the associated results are interesting and promising.
引用
收藏
页码:470 / 479
页数:10
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