Neural Networks: Some Successful Applications in Computational Mechanics

被引：0

作者：

Papadrakakis, Manolis ^{[1
]}

Lagaros, Nikos D. ^{[1
]}

Fragiadakis, Michalis ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Sch Civil Engn, Inst Struct Anal & Seism Res, Athens 15780, Greece

来源：

ADVANCES OF SOFT COMPUTING IN ENGINEERING | 2010年 / 512卷

关键词：

MONTE-CARLO SIMULATION; STRUCTURAL OPTIMIZATION; RELIABILITY-ANALYSIS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This article presents recent applications of neural computations in the Field of stochastic finite element analysis of structures and earthquake engineering. The incorporation of Neural Networks (NN) in this type of problems is crucial since it leads to Substantial reduction of the excessive computational cost. Earthquake-resistant design of structures using Probabilistic Safety Analysis (PSA) is an emerging field in structural engineering. The efficiency of soil computing methodologies is investigated when incorporated into the solution of computationally intensive earthquake engineering problems considering uncertainties.

引用

页码：317 / 336

页数：20

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