Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Chen, Jiun-Shyan"'
Autor:
Bonneville, Christophe, He, Xiaolong, Tran, April, Park, Jun Sur, Fries, William, Messenger, Daniel A., Cheung, Siu Wun, Shin, Yeonjong, Bortz, David M., Ghosh, Debojyoti, Chen, Jiun-Shyan, Belof, Jonathan, Choi, Youngsoo
Numerical solvers of partial differential equations (PDEs) have been widely employed for simulating physical systems. However, the computational cost remains a major bottleneck in various scientific and engineering applications, which has motivated t
Externí odkaz:
http://arxiv.org/abs/2403.10748
Immersed boundary methods are high-order accurate computational tools used to model geometrically complex problems in computational mechanics. While traditional finite element methods require the construction of high-quality boundary-fitted meshes, i
Externí odkaz:
http://arxiv.org/abs/2402.15937
Isogeometric analysis (IGA) has emerged as a promising approach in the field of structural optimization, benefiting from the seamless integration between the computer-aided design (CAD) geometry and the analysis model by employing non-uniform rationa
Externí odkaz:
http://arxiv.org/abs/2308.03781
Autor:
Baek, Jonghyuk, Chen, Jiun-Shyan
Numerical modeling of localizations is a challenging task due to the evolving rough solution in which the localization paths are not predefined. Despite decades of efforts, there is a need for innovative discretization-independent computational metho
Externí odkaz:
http://arxiv.org/abs/2307.01937
A parametric adaptive greedy Latent Space Dynamics Identification (gLaSDI) framework is developed for accurate, efficient, and certified data-driven physics-informed greedy auto-encoder simulators of high-dimensional nonlinear dynamical systems. In t
Externí odkaz:
http://arxiv.org/abs/2211.13698
Publikováno v:
Computer Methods in Applied Mechanics and Engineering 385 (2021) 114034
Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the classical constitutive model construction. However, it remains difficult to
Externí odkaz:
http://arxiv.org/abs/2209.04416
Autor:
He, Xiaolong, Chen, Jiun-Shyan
Publikováno v:
Computer Methods in Applied Mechanics and Engineering (2022) 115348
Characterization and modeling of path-dependent behaviors of complex materials by phenomenological models remains challenging due to difficulties in formulating mathematical expressions and internal state variables (ISVs) governing path-dependent beh
Externí odkaz:
http://arxiv.org/abs/2205.00578
Modeling the localized intensive deformation in a damaged solid requires highly refined discretization for accurate prediction, which significantly increases the computational cost. Although adaptive model refinement can be employed for enhanced effe
Externí odkaz:
http://arxiv.org/abs/2204.13821
A parametric adaptive physics-informed greedy Latent Space Dynamics Identification (gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order modeling of high-dimensional nonlinear dynamical systems. In the proposed gLa
Externí odkaz:
http://arxiv.org/abs/2204.12005
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 August 2024 428