Solving inverse structural reliability problem using artificial neural networks and small-sample simulation

Advances in Structural Engineering

Volumn 15, Issue 11, 2012, Pages 1911-1920

  Lehký, David ^a   Novák, Drahomír ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

artificial neural network; identification; inverse reliability problem; Latin hypercube sampling; reliability; uncertainties

Indexed keywords

DESIGN PARAMETERS; FAILURE PROBABILITY; INVERSE ANALYSIS; INVERSE RELIABILITY ANALYSIS; INVERSE RELIABILITY PROBLEM; LATIN HYPERCUBE SAMPLING; MONTE CARLO; MULTIPLE PARAMETERS; MULTIPLE RELIABILITY CONSTRAINTS; NUMERICAL EXAMPLE; RELIABILITY INDEX; SIMULATION METHODS; STATISTICAL CORRELATION; STOCHASTIC SIMULATIONS; STRUCTURAL RELIABILITY; UNCERTAINTIES;

IDENTIFICATION (CONTROL SYSTEMS); LARGE SCALE SYSTEMS; MONTE CARLO METHODS; NEURAL NETWORKS; RANDOM VARIABLES; RELIABILITY; RELIABILITY ANALYSIS; STOCHASTIC MODELS;

INVERSE PROBLEMS;

EID: 84870716479     PISSN: 13694332     EISSN: None     Source Type: Journal    
DOI: 10.1260/1369-4332.15.11.1911     Document Type: Conference Paper

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