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A new approach for solving inverse reliability problems with implicit response functions · Study

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ArticleA new approach for solving inverse reliability problems with implicit response functions

Jin Cheng2006

Article2006

A new approach for solving inverse reliability problems with implicit response functions

Jin Cheng · Jie Zhang · C. S. Steve Cai · Rucheng Xiao

46 citations·0/0 files stored·Engineering Structures

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Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Geotechnical Engineering and Analysis

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References

2000Reliability Assessment Using Stochastic Finite Element Analysis 2001Reliability Assessment Using Stochastic Finite Element Analysis 2003Comparison of response surface and neural network with other methods for structural reliability analysis 2004Structural reliability analysis for implicit performance functions using artificial neural network 1996Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation 2001Neural-network-based reliability analysis: a comparative study 2005Reliability analysis of structures using neural network method 1994Inverse Reliability Problem

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2016Improve the Accuracy of Asymptotic Approximation in Reliability Problems Involving Multimodal Distributions 2020A novel kriging based active learning method for structural reliability analysis 2012Inverse structural reliability analysis under mixed uncertainties using high dimensional model representation and fast Fourier transform 2012Solving Inverse Structural Reliability Problem Using Artificial Neural Networks and Small-Sample Simulation

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Year2006

Typearticle

Published2006-05-26

VenueEngineering Structures

ISSN-L0141-0296

Languageen

Citations46

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.engstruct.2006.04.005

openalex_workW1978625350

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2016

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2012Confidence Bounds on Design Variables Using High-Dimensional Model Representation–Based Inverse Reliability Analysis

2016Structural Reliability: An Assessment Using a New and Efficient Two-Phase Method Based on Artificial Neural Network and a Harmony Search Algorithm