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RISMultifidelity 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 ...
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 ...
Heat Dissipation Analysis and Optimization of Gas Turbine Box Based on Field Synergy Principle
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To improve the heat dissipation and cooling effect of the box and ensure the safe and stable operation of the gas turbine, research on the control and optimization of heat dissipation within the main box of the gas turbine ...
Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Undetected fatigue and overload damages at the key locations of the crane boom are among the biggest threats in construction, leading to structural failure. Thus, the structural health of the crane boom should be monitored ...
Knowledge-Guided Convolutional Neural Network Model for Similar Three-Dimensional Wear Debris Identification With Small Number of Samples
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Wear debris analysis (WDA) enables the provision of essential information towards the monitoring of machine fault diagnosis and the analysis of wear mechanism. However, this experience-based technology has not yet been ...