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Sensitivity Developments for RBDO With Dependent Input Variable and Varying Input Standard Deviation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In reliability-based design optimization (RBDO), dependent input random variables and varying standard deviation (STD) should be considered to correctly describe input distribution model. The input dependency and varying ...
Design Sensitivity Method for Sampling Based RBDO With Varying Standard Deviation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Conventional reliabilitybased design optimization (RBDO) uses the mean of input random variable as its design variable; and the standard deviation (STD) of the random variable is a fixed constant. However, the constant STD ...
Conservative Surrogate Model Using Weighted Kriging Variance for Sampling Based RBDO
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In samplingbased reliabilitybased design optimization (RBDO) of largescale engineering applications, the Monte Carlo simulation (MCS) is often used for the probability of failure calculation and probabilistic sensitivity ...
Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurately predicting the reliability of a physical system under aleatory uncertainty requires a very large number of physical output testing. Alternatively, a simulation-based method can be used, but it would involve ...
Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The conventional reliability-based design optimization (RBDO) methods assume that a simulation model is able to represent the real physics accurately. However, this assumption may not always hold as the simulation model ...
Framework of Reliability-Based Stochastic Mobility Map for Next Generation NATO Reference Mobility Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A framework for generation of reliability-based stochastic off-road mobility maps is developed to support the next generation NATO reference mobility model (NG-NRMM) using full stochastic knowledge of terrain properties ...