Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jiang, Xinchao"'
The Bayesian inference approach is widely used to tackle inverse problems due to its versatile and natural ability to handle ill-posedness. However, it often faces challenges when dealing with situations involving continuous fields or large-resolutio
Externí odkaz:
http://arxiv.org/abs/2308.13295
In gradient-based time domain topology optimization, design sensitivity analysis (DSA) of the dynamic response is essential, and requires high computational cost to directly differentiate, especially for high-order dynamic system. To address this iss
Externí odkaz:
http://arxiv.org/abs/2308.09864
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 approach to solve inverse problems efficiently. However, it is difficult for
Externí odkaz:
http://arxiv.org/abs/2209.10195
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 on the Bayesian neural network, it is a physics-informed machine learni
Externí odkaz:
http://arxiv.org/abs/2109.00996
Publikováno v:
In Engineering Analysis with Boundary Elements May 2024 162:403-419
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 15 February 2024 420
Akademický článek
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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 other pixel or node point-based algorithms, it is optimized through t
Externí odkaz:
http://arxiv.org/abs/1910.07227
Publikováno v:
In Advanced Engineering Informatics August 2023 57
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 are mapped to a low-dimensional latent space by Variational Auto-Encode
Externí odkaz:
http://arxiv.org/abs/1907.03560