Multi-frequency acoustic topology optimization of sound-absorption materials with isogeometric boundary element methods accelerated by frequency-decoupling and …
The paper presents a novel approach for multi-frequency acoustic topology optimization of
sound-absorption materials. In this work, the isogeometric boundary element method based …
sound-absorption materials. In this work, the isogeometric boundary element method based …
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems
We propose an efficient Monte Carlo simulation method to address the multivariate
uncertainties in acoustic–vibration interaction systems. The deep neural network acts as a …
uncertainties in acoustic–vibration interaction systems. The deep neural network acts as a …
Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach
Based on a stochastic full-range multiscale model, we propose a data-driven approach to
predict the thermal conductivity of CNT reinforced polymeric nano-composites (PNCs) …
predict the thermal conductivity of CNT reinforced polymeric nano-composites (PNCs) …
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 …
multivariate uncertain parameters on the response of cracked structures is proposed. The …
A review article: isogeometric boundary element analysis in engineering applications
AM Shaaban - International Journal of Hydromechatronics, 2022 - inderscienceonline.com
Isogeometric analysis (IGA) in the framework of the boundary element method (BEM) is
reviewed in this paper. IGA is a fundamental tool in computational mechanics which enables …
reviewed in this paper. IGA is a fundamental tool in computational mechanics which enables …
Uncertainty quantification of 3D acoustic shape sensitivities with generalized nth-order perturbation boundary element methods
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 …
acoustic fields and their shape sensitivities. In this work, the frequencies of im**ing …
Isogeometric dual reciprocity BEM for solving non-Fourier transient heat transfer problems in FGMs with uncertainty analysis
In this paper, the precise integration multi-patch isogeometric dual reciprocity boundary
element method (IG-DRBEM) of the non-Fourier transient heat transfer problem in …
element method (IG-DRBEM) of the non-Fourier transient heat transfer problem in …
Adaptive isogeometric topology optimization using PHT splines
This paper presents a novel adaptive isogeometric topology optimization methodology using
the Geometry Independent Field approximaTion (GIFT) framework for Polynomial splines …
the Geometry Independent Field approximaTion (GIFT) framework for Polynomial splines …
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 …
multivariate uncertainties in the dynamic fracture analysis of cracked structures. Deep neural …
[HTML][HTML] Post-buckling development in soft particulate composites
In this paper, we investigate the post-buckling development of instability-induced patterns in
soft particulate composites. Upon reaching the critical strain level, the composite …
soft particulate composites. Upon reaching the critical strain level, the composite …