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Robust design of structures using convex models · Study

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ArticleRobust design of structures using convex models

F.T.K. Au2003

Article2003

Robust design of structures using convex models

F.T.K. Au · Yuansheng Cheng · Leslie George Tham · Guodong Zeng

101 citations·0/0 files stored·Computers & Structures

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Probabilistic and Robust Engineering Design Risk and Portfolio Optimization Topology Optimization in Engineering

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References

1991Quality Engineering Using Robust Design 1990Quality Engineering Using Robust Design 2008Introduction to Quality Engineering 1990Convex Models of Uncertainty in Applied Mechanics 1996A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors 1994A non-probabilistic concept of reliability 1999Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design 1993A General Approach for Robust Optimal Design

Cited by

2012A new reliability analysis method for uncertain structures with random and interval variables 2014Structural reliability analysis using a copula-function-based evidence theory model 2015Construction and application of an ellipsoidal convex model using a semi-definite programming formulation from measured data 2007Designing robust structures – A nonlinear simulation based approach 2014A response surface approach for structural reliability analysis using evidence theory

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Details

Year2003

Typearticle

Published2003-10-11

VenueComputers & Structures

ISSN-L0045-7949

Languageen

Citations101

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/s0045-7949(03)00322-5

openalex_workW1979018380

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2019

Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach

2014A non-probabilistic robust reliability method for analysis and design optimization of structures with uncertain-but-bounded parameters

2021An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load