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RISA Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation Based Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A maximum confidence enhancement (MCE)based sequential sampling approach is developed for reliabilitybased design optimization (RBDO) using surrogate models. The developed approach employs the ordinary Kriging method for ...
An Integrated Performance Measure Approach for System Reliability Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a new adaptive sampling approach based on a novel integrated performance measure approach, referred to as “iPMA,†for system reliability assessment with multiple dependent failure events. The developed ...
Confidence-Driven Design Optimization Using Gaussian Process Metamodeling With Insufficient Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To reduce the computational cost, surrogate models have been widely used to replace expensive simulations in design under uncertainty. However, most existing methods may introduce significant errors when the training data ...
Active Resource Allocation for Reliability Analysis With Model Bias Correction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To account for the model bias in reliability analysis, various methods have been developed to validate simulation models using precise experimental data. However, it still lacks a strategy to actively seek critical information ...
Reliability-Based Multifidelity Optimization Using Adaptive Hybrid Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Most of the existing reliability-based design optimization (RBDO) are not capable of analyzing data from multifidelity sources to improve the confidence of optimal solution while maintaining computational efficiency. In ...
An LSTM-Based Ensemble Learning Approach for Time-Dependent Reliability Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a long short-term memory (LSTM)-based ensemble learning approach for time-dependent reliability analysis. An LSTM network is first adopted to learn system dynamics for a specific setting with a fixed ...
Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Along with the rapid advancement of additive manufacturing technology, 3D-printed structures and materials have been successfully employed in various applications. Computer simulations of these structures and materials are ...
Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multifidelity surrogate modeling offers a cost-effective approach to reducing extensive evaluations of expensive physics-based simulations for reliability prediction. However, considering spatial uncertainties in multifidelity ...
Corrosion Reliability Analysis Considering the Coupled Effect of Mechanical Stresses
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Corrosion is one of the most critical failure mechanisms for engineering structures and systems, as corrosion damages grow with the increase of service time, thus diminish system reliability gradually. Despite tremendous ...
Special Section on Probabilistic Digital Twins in Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive manufacturing (AM) has made enormous progress over the past decade, as it is capable of producing complex parts with significantly fewer fabrication constraints compared with existing manufacturing technologies ...