Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method

Structural and Multidisciplinary Optimization

Volumn 44, Issue 3, 2011, Pages 299-317

  Lee, Ikjin ^a   Choi, K K ^a   Zhao, Liang ^a  

^a University of Iowa   (United States)

Author keywords

Copula; Monte Carlo simulation; Sampling based RBDO; Score functions; Stochastic sensitivity analyses; Surrogate model

Indexed keywords

COPULA; MONTE CARLO SIMULATION; SAMPLING-BASED RBDO; SCORE FUNCTIONS; STOCHASTIC SENSITIVITY ANALYSES; SURROGATE MODEL;

COMPUTATIONAL EFFICIENCY; COMPUTER SIMULATION; DESIGN; DYNAMIC ANALYSIS; EFFICIENCY; FUEL ADDITIVES; INTERPOLATION; MONTE CARLO METHODS; NUMERICAL METHODS; PARALLEL ARCHITECTURES; RANDOM VARIABLES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

SENSITIVITY ANALYSIS;

EID: 80054021232     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-011-0659-2     Document Type: Article

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