A single-loop approach with adaptive sampling and surrogate Kriging for reliability-based design optimization

Surrogate models have been widely used for Reliability-Based Design Optimization (RBDO) to solve complex engineering problems. However, the accuracy and efficiency of surrogate-based RBDO largely r...

[1]  Liang Gao,et al.  An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation , 2019, Reliab. Eng. Syst. Saf..

[2]  Byung Chai Lee,et al.  Reliability-based design optimization using a moment method and a kriging metamodel , 2008 .

[3]  Kyung K. Choi,et al.  Dimension reduction method for reliability-based robust design optimization , 2006 .

[4]  Dan Frangopol Structural Design Optimization Considering Uncertainties: Structures & Infrastructures Book , Vol. 1, Series, Series Editor: Dan M. Frangopol , 2008 .

[5]  John Dalsgaard Sørensen,et al.  Reliability-Based Optimization in Structural Engineering , 1994 .

[6]  Mohsen Rashki,et al.  A simulation-based method for reliability based design optimization problems with highly nonlinear constraints , 2014 .

[7]  Gerhart I. Schuëller,et al.  A survey on approaches for reliability-based optimization , 2010 .

[8]  Kyung K. Choi,et al.  A NEW STUDY ON RELIABILITY-BASED DESIGN OPTIMIZATION , 1999 .

[9]  M. Eldred,et al.  Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions , 2008 .

[10]  Xiaoping Du,et al.  Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design , 2004, DAC 2002.

[11]  André T. Beck,et al.  System reliability-based design optimization and risk-based optimization: a benchmark example considering progressive collapse , 2018, Engineering Optimization.

[12]  Tae Won Lee,et al.  A Reliability-Based Optimal Design Using Advanced First Order Second Moment Method , 1987 .

[13]  Tae Hee Lee,et al.  A sampling technique enhancing accuracy and efficiency of metamodel-based RBDO: Constraint boundary sampling , 2008 .

[14]  Peng Hao,et al.  Enhanced single-loop method for efficient reliability-based design optimization with complex constraints , 2018 .

[15]  Zhenzhong Chen,et al.  An adaptive decoupling approach for reliability-based design optimization , 2013 .

[16]  Pan Wang,et al.  A new learning function for Kriging and its applications to solve reliability problems in engineering , 2015, Comput. Math. Appl..

[17]  J. Tu,et al.  A Single-Loop Method for Reliability-Based Design Optimization , 2004, DAC 2004.

[18]  Stefano Marelli,et al.  UQLab: a framework for uncertainty quantification in MATLAB , 2014 .

[19]  Andy J. Keane,et al.  Engineering Design via Surrogate Modelling - A Practical Guide , 2008 .

[20]  T. Cho,et al.  Reliability-based design optimization using convex linearization and sequential optimization and reliability assessment method , 2011 .

[21]  J. Jonkman,et al.  Definition of a 5-MW Reference Wind Turbine for Offshore System Development , 2009 .

[22]  Harry H. Hilton,et al.  Minimum Weight Analysis Based on Structural Reliability , 1960 .

[23]  G. Cheng,et al.  A sequential approximate programming strategy for reliability-based structural optimization , 2006 .

[24]  Dan M. Frangopol,et al.  Structural Optimization Using Reliability Concepts , 1985 .

[25]  N. Okasha An improved weighted average simulation approach for solving reliability-based analysis and design optimization problems , 2016 .

[26]  Liang Gao,et al.  A local adaptive sampling method for reliability-based design optimization using Kriging model , 2014 .

[27]  Bruno Sudret,et al.  Meta-model-based importance sampling for reliability sensitivity analysis , 2014 .

[28]  Hojjat Adeli,et al.  Advances in Design Optimization , 1994 .

[29]  Hans O. Madsen,et al.  A Comparison of Some Algorithms for Reliability Based Structural Optimization and Sensitivity Analysis , 1992 .

[30]  Bruno Sudret,et al.  Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework , 2019, Structural and Multidisciplinary Optimization.

[31]  Alaa Chateauneuf,et al.  Benchmark study of numerical methods for reliability-based design optimization , 2010 .

[32]  Erik A. Johnson,et al.  Parallel processing in computational stochastic dynamics , 2003 .

[33]  Alfred M. Freudenthal,et al.  The Safety of Structures , 1947 .

[34]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[35]  Teresa Wu,et al.  A single-loop deterministic method for reliability-based design optimization , 2013 .

[36]  Alfred M. Freudenthal,et al.  SAFETY AND THE PROBABILITY OF STRUCTURAL FAILURE , 1956 .

[37]  Nicolas Gayton,et al.  AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation , 2011 .

[38]  X. Shao,et al.  A local Kriging approximation method using MPP for reliability-based design optimization , 2016 .

[39]  Alaa Chateauneuf Principles of reliability-based design optimization , 2008 .

[40]  M. Miri,et al.  A new efficient simulation method to approximate the probability of failure and most probable point , 2012 .

[41]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .

[42]  D. E. Kinser,et al.  Optimum structural design with failure probability constraints. , 1967 .

[43]  V. Ho-Huu,et al.  A global single-loop deterministic approach for reliability-based design optimization of truss structures with continuous and discrete design variables , 2018 .