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A Pointwise-Optimal Ensemble of Surrogate Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The ensemble of surrogate models is commonly used to replace computationally expensive simulations due to their superior prediction accuracy and robustness compared to individual models. This paper proposes a new pointwise ...
Boosting Engineering Optimization With a Novel Recursive Transfer Bifidelity Surrogate Modeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the engineering optimization, there often exist the multiple sources of information with different fidelity levels. In general, low-fidelity (LF) information is usually more accessible than high-fidelity (HF) information, ...
Data-Driven Hybrid Modeling for Digital Twin of Large-Scale Structures With Local Nonlinearities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Digital twin (DT) modeling technology is the core for accurately portraying physical entities. It provides decision-makers and managers with real-time monitoring, simulation, and optimization capabilities, thus enhancing ...
A Scalable Digital Twin Framework Based on a Novel Adaptive Ensemble Surrogate Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The concept of digital twins is to have a digital model that can replicate the behavior of a physical asset in real time. However, using digital models to reflect the structural performance of physical assets usually faces ...
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