87 citations · 161 across the 5 of their papers we have counts for
5 papers
Shape optimization of non-matching isogeometric shells with moving intersections
Han Zhao, John T. Hwang, J. S. Chen
While shape optimization using isogeometric shells exhibits appealing features by integrating design geometries and analysis models, challenges arise when addressing computer-aided…
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture
Jonghyuk Baek, Jiun-Shyan Chen
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 i…
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling
Xiaolong He, Qizhi He, Jiun-Shyan Chen
Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the class…
A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization
Jonghyuk Baek, Jiun-Shyan Chen, Kristen Susuki
Modeling the localized intensive deformation in a damaged solid requires highly refined discretization for accurate prediction, which significantly increases the computational cost…
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database
Qizhi He, Jiun-Shyan Chen
Physics-constrained data-driven computing is an emerging hybrid approach that integrates universal physical laws with data-driven models of experimental data for scientific computi…