Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering

L Chen, Z Wang, H Lian, Y Ma, Z Meng, P Li… - Computer Methods in …, 2024 - Elsevier
This paper formulates a model order reduction method for electromagnetic boundary
element analysis and extends it to computer-aided design integrated shape optimization of …

FEM-BEM analysis of acoustic interaction with submerged thin-shell structures under seabed reflection conditions

L Chen, H Lian, Q Pei, Z Meng, S Jiang, HW Dong… - Ocean …, 2024 - Elsevier
The paper introduces a novel method for simulating acoustic–shell interaction subject to
seabed reflection. The vibration of thin-shell structure is analyzed using the finite element …

A BEM broadband topology optimization strategy based on Taylor expansion and SOAR method—Application to 2D acoustic scattering problems

L Chen, J Zhao, H Lian, B Yu… - … Journal for Numerical …, 2023 - Wiley Online Library
In this article, an innovative method is proposed for broadband topology optimization of
sound‐absorbing materials adhering to the surface of a sound barrier structure. Helmholtz …

Multivariate uncertainty analysis of fracture problems through model order reduction accelerated SBFEM

X Shen, C Du, S Jiang, P Zhang, L Chen - Applied Mathematical Modelling, 2024 - Elsevier
Abstract An efficient Monte Carlo simulation (MCS) method that analyses the influences of
multivariate uncertain parameters on the response of cracked structures is proposed. The …

Uncertainty quantification of 3D acoustic shape sensitivities with generalized nth-order perturbation boundary element methods

L Chen, R Huo, H Lian, B Yu, M Zhang… - Computer Methods in …, 2025 - Elsevier
This paper presents a novel perburbation-based method for uncertainty quantification of
acoustic fields and their shape sensitivities. In this work, the frequencies of im**ing …

Uncertainty quantification of mechanical property of piezoelectric materials based on isogeometric stochastic FEM with generalized nth-order perturbation

L Chen, H Li, Y Guo, P Chen, E Atroshchenko… - Engineering with …, 2024 - Springer
This paper proposes a novel generalized n th-order perturbation isogeometric finite-element
method (GNP-IGA-FEM) for uncertainty quantification of mechanical properties of …

Enhancing deep neural networks for multivariate uncertainty analysis of cracked structures by POD-RBF

X Shen, C Du, S Jiang, L Sun, L Chen - Theoretical and Applied Fracture …, 2023 - Elsevier
Abstract An efficient Monte Carlo (MC) simulation method is proposed to address
multivariate uncertainties in the dynamic fracture analysis of cracked structures. Deep neural …

Bayesian uncertainty analysis for underwater 3D reconstruction with neural radiance fields

H Lian, X Li, Y Qu, J Du, Z Meng, J Liu… - Applied Mathematical …, 2025 - Elsevier
Neural radiance fields (NeRFs) are a deep learning technique that generates novel views of
3D scenes from multi-view images. As an extension of NeRFs, SeaThru-NeRF mitigates the …

Deep-neural-network-based framework for the accelerating uncertainty quantification of a structural–acoustic fully coupled system in a shallow sea

L Chen, Q Pei, Z Fei, Z Zhou, Z Hu - Engineering Analysis with Boundary …, 2025 - Elsevier
To systematically quantify certain uncertainties within the vibro-acoustic coupling problems,
we propose a framework for sampling the acceleration and uncertainty quantification based …

Uncertainty analysis in acoustics: perturbation methods and isogeometric boundary element methods

L Chen, H Lian, R Huo, J Du, W Liu, Z Meng… - Engineering with …, 2024 - Springer
This study proposes a generalized n th-order perturbation method based on (isogeometric)
boundary element methods for uncertainty analysis in 3D acoustic scattering problems. In …