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Multifidelity Data Fusion Based on Gradient-Enhanced Surrogate Modeling Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A multifidelity surrogate (MFS) model is a data fusion method for the enhanced prediction of less intensively sampled primary variables of interest (i.e., high-fidelity (HF) samples) with the assistance of intensively ...
An Integrated Surrogate Modeling Method for Fusing Noisy and Noise-Free Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Many datasets in engineering applications are heterogeneous mixtures of noise-free data, noisy data with known noise variances, and noisy data with unknown noise variances. This article proposes a data fusion method called ...
Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Digital twin has the potential for increasing production, achieving real-time monitor, and realizing predictive maintenance by establishing a real-time high-fidelity mapping between the physical entity and its digital ...
Influence and Mechanism of Plastic Expansion Agent on Volume Stability and Frost Resistance Durability of Concrete
Publisher: American Society of Civil Engineers
Abstract: AbstractDurability directly impacts the service life of infrastructure such as bridges, highways,
and hydraulic engineering. It remains the most critical challenge for concrete structures,
especially the widespread early ...
A Hybrid Physical Damage Neural Network for Wear Prediction of Self-Lubricating Bearings
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Self-lubricating bearings are widely used in aerospace, marine, and other fields due to their excellent performance. Accurate wear prediction for self-lubricating bearings is crucial for ensuring reliability and ...
Investigation of the High-Vacuum Au/Si Eutectic Wafer Bonding Process for MEMS Resonators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This study demonstrates a reliable wafer-level Au/Si eutectic bonding technique suitable for hermetic packaging of MEMS resonators with small cavities (≤0.01 mm3). By optimizing the Au-Si eutectic bonding process, ...
An Adaptive Two-Stage Kriging-Based Infilling Strategy for Efficient Multi-Objective Global Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Most practical multi-objective optimization problems are often characterized by two or more expensive and conflicting objectives, which require time-consuming simulations. Commonly used algorithms construct a surrogate ...
Collection of Gas-Tight Water Samples from the Bottom of the Challenger Deep
Publisher: American Meteorological Society
Abstract: AbstractA new gas-tight pair sampler was designed for the collection of gas-tight fluid samples from the hadal zone. The sampler uses two titanium bottles and one sampling valve to collect two samples at once. The sampler ...
A Sequential Sampling Generation Method for Multi-Fidelity Model Based on Voronoi Region and Sample Density
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multi-fidelity surrogate model-based engineering optimization has received much attention because it alleviates the computational burdens of expensive simulations or experiments. However, due to the nonlinearity of practical ...
Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The digital twin, a concept that aims to establish a real-time mapping between physical space and virtual space, can be used for real-time analysis, reliability assessment, predictive maintenance, and design optimization ...
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