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Reliability-based structural optimization using neural networks and Monte Carlo simulation · Study

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Reliability-based structural optimization using neural networks and Monte Carlo simulation

Manolis Papadrakakis, Nikos D. Lagaros

2002-06-01articleComputer Methods in Applied Mechanics and Engineering516 citationsgreen

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Probabilistic and Robust Engineering Design Geotechnical Engineering and Analysis Advanced Multi-Objective Optimization Algorithms

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Citations in this library

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Cited by

2011Reliability-based design optimization using kriging surrogates and subset simulation

2010A survey on approaches for reliability-based optimization

2015A new learning function for Kriging and its applications to solve reliability problems in engineering

2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures

2014An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

2022A review and assessment of importance sampling methods for reliability analysis

2023Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review

2020A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems

Details

Year2002

Typearticle

VenueComputer Methods in Applied Mechanics and Engineering

Languageen

Files0 public / 0

Identifiers

doi10.1016/s0045-7825(02)00287-6

openalex_workW2149183242

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