83 citations · 173 across the 22 of their papers we have counts for
22 papers
An E-PINN assisted practical uncertainty quantification for inverse problems
Xinchao Jiang, Xin Wanga, Ziming Wena +2
How to solve inverse problems is the challenge of many engineering and industrial applications. Recently, physics-informed neural networks (PINNs) have emerged as a powerful approa…
A Physics-Data-Driven Bayesian Method for Heat Conduction Problems
Xinchao Jiang, Hu Wang, Yu li
In this study, a novel physics-data-driven Bayesian method named Heat Conduction Equation assisted Bayesian Neural Network (HCE-BNN) is proposed. The HCE-BNN is constructed based o…
A multi-grid sampling multi-scale method for crack initiation and propagation
Zhenxing Cheng, Hu Wang
In this study, a multi-grid sampling multi-scale (MGSMS) method is proposed by coupling with finite element (FEM), extended finite element (XFEM) and molecular dynamics (MD) method…
Fatigue crack propagation in carbon steel using RVE based model
Zhenxing Cheng, Hu Wang, Gui-Rong Liu
A representative volume element (RVE) based multi-scale method is proposed to investigate the mechanism of fatigue crack propagation by the molecular dynamics (MD) and the extended…
Molecular dynamics simulation of crack growth in mono-crystal nickel with voids and inclusions
Zhenxing Cheng, Hu Wang, Gui-Rong Liu +1
In this study, the crack propagation of the pre-cracked mono-crystal nickel with the voids and inclusions has been investigated by molecular dynamics simulations. Different sizes o…
A novel generative reverse net assisted evolution algorithm for expensive-computational optimizations
Yu Li, Hu Wang, Ziming Wen +1
Simulation-based optimization is a useful method for practical design problems. However, it is difficult for complicated problems due to expensive-computational costs. A popular wa…
Topology optimization of heat sinks for instantaneous chip cooling using a transient pseudo-3D thermofluid model
Tao Zeng, Hu Wang, Mengzhu Yang +1
With the increasing power density of electronics components, the heat dissipation capacity of heat sinks gradually becomes a bottleneck. Many structural optimization methods, inclu…
Machine Learning based parameter tuning strategy for MMC based topology optimization
Xinchao Jiang, Hu Wang, Yu Li +1
Moving Morphable Component (MMC) based topology optimization approach is an explicit algorithm since the boundary of the entity explicitly described by its functions. Compared with…
Variational Auto-Encoder Based Approximate Bayesian Computation Uncertian Inverse Method for Sheet Metal Forming Problem
Jiaquan Wang, Yang Zeng, Xinchao Jiang +3
In this study, an image-assisted Approximate Bayesian Computation (ABC) parameter inverse method is proposed to identify the design parameters. In the proposed method, the images a…
Image-based reconstruction for the impact problems by using DPNNs
Yu Li, Hu Wang, Wenquan Shuai +2
With the improvement of the pattern recognition and feature extraction of Deep Neural Networks (DPNNs), image-based design and optimization have been widely used in multidisciplina…
Global sensitivity analysis based on DIRECT-KG-HDMR and thermal optimization of pin-fin heat sink for the platform inertial navigation system
Xin Luo, Fengtao Xu, Ting Wang +2
In this study, in order to reduce the local high temperature of the platform in inertial navigation system (PINS), a pin-fin heat sink with staggered arrangement is designed. To re…
Image-Based Reconstruction for a 3D-PFHS Heat Transfer Problem by ReConNN
Yu Li, Hu Wang, Xinjian Deng
The heat transfer performance of Plate Fin Heat Sink (PFHS) has been investigated experimentally and extensively. Commonly, the objective function of the PFHS design is based on th…
Closed loop image aided optimization for cold spray process based on molecular dynamics
Zhenxing Cheng, Hu Wang, Gui-rong Liu
This study proposed a closed loop image aided optimization (CLIAO) method to improve the quality of deposition during the cold spray process. Some recent research shows that the qu…
IRA assisted MMC-based topology optimization method
Kangjia Mo, Hu Wang, Zhenxing Cheng +1
An Iterative Reanalysis Approximation (IRA) is integrated with the Moving Morphable Components (MMCs) based topology optimization (IRA-MMC) in this study. Compared with other class…
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method
Yu Li, Hu Wang, Kangjia Mo +1
A variety of modeling techniques have been developed in the past decade to reduce the computational expense and improve the accuracy of modeling. In this study, a new framework of…
A D-vine copula-based coupling uncertainty analysis for stiffness predication of variable-stiffness composite
Qidi Li, Hu Wang, Yang Zeng +1
This study suggests a coupling uncertainty analysis method to investigate the stiffness characteristics of variable stiffness (VS) composite. The D-vine copula function is used to…
Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?
Yu Li, Hu Wang, Juanjuan Liu
With the increase of the nonlinearity and dimension, it is difficult for the present popular metamodeling techniques to construct reliable metamodels. To address this problem, Conv…
Optimization of honeycomb battery package based on space mapping algorithm
Hu Wang, Wenquan Shuai, Xin Luo
A new honeycomb battery package structure is designed and optimized in this study. It is a honeycomb structure which uses grid to reinforce the strength. To obtain the highly accur…
How we can control the crack to propagate along the specified path feasibly?
Zhenxing Cheng, Hu Wang
A controllable crack propagation (CCP) strategy is suggested. It is well known that crack always leads the failure by crossing the critical domain in engineering structure. Therefo…
A novel X-FEM based fast computational method for crack propagation
Zhenxing Cheng, Hu Wang
This study suggests a fast computational method for crack propagation, which is based on the extended finite element method (X-FEM). It is well known that the X-FEM might be the mo…
A simple Python code for computing effective properties of 2D and 3D representative volume element under periodic boundary conditions
Fan Ye, Hu Wang
Multiscale optimization is an attractive research field recently. For the most of optimization tools, design parameters should be updated during a close loop. Therefore, a simple P…
A Meshless-based Local Reanalysis Method for Structural Analysis
Zhenxing Cheng, Hu Wang
This study presents a meshless-based local reanalysis (MLR) method. The purpose of this study is to extend reanalysis methods to the Kriging interpolation meshless method due to it…