Multi-fidelity (MF) surrogate models have attracted significant attention recently in
engineering design optimization since they can make a trade-off between high prediction …

Bridges are critical components of transportation infrastructure, connecting communities and
facilitating the movement of goods and people. Real-time monitoring of structural states of …

变可信度**似模型通过融合不同精度分析模型的数据, 可有效**衡**似模型预测性能和建模成本
之间的矛盾, 在复杂装备优化设计中受到广泛的关注. 综述变可信度**似模型及其在复杂装备 …

The multi-fidelity surrogate (MFS) model is designed to make use of a small amount of
expensive but accurate high-fidelity (HF) information and a lot of inaccurate but cheap low …

Multi-fidelity surrogate model-based engineering optimization has received much attention
because it alleviates the computational burdens of expensive simulations or experiments …

Most practical multi-objective optimization problems are often characterized by two or more
expensive and conflicting objectives, which require time-consuming simulations. Commonly …

Physics-based digital twins often require many computations to diagnose current and predict
future damage states in structures. This research proposes a novel iterative global–local …

Surrogate models are widely used in simulation-based engineering design. The distribution
of samples directly determines the quality and efficiency of surrogate models, which has a …

Optimal sensor placement (OSP) is one of the essential factors affecting the accuracy of
health management, particularly in health monitoring driven by mode information. A novel …

This paper presents a cloud-based data-driven design optimization system, named DADOS,
to help engineers and researchers improve a design or product easily and efficiently …