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Chensen Ding
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Seamless integration of computer-aided geometric modeling and acoustic simulation: Isogeometric boundary element methods based on Catmull-Clark subdivision surfaces
LL Chen, Y Zhang, H Lian, E Atroshchenko, C Ding, SPA Bordas
Advances in Engineering Software 149, 102879, 2020
652020
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, C Ding, SPA Bordas
Computer Methods in Applied Mechanics and Engineering 419, 116654, 2024
472024
Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties
C Ding, RR Deokar, Y Ding, G Li, X Cui, KK Tamma, SPA Bordas
Computer Methods in Applied Mechanics and Engineering 349, 266-284, 2019
442019
Isogeometric generalized n th order perturbation-based stochastic method for exact geometric modeling of (composite) structures: Static and dynamic analysis with random …
C Ding, X Hu, X Cui, G Li, Y Cai, KK Tamma
Computer Methods in Applied Mechanics and Engineering 346, 1002-1024, 2019
382019
Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method
C Ding, KK Tamma, H Lian, Y Ding, TJ Dodwell, SPA Bordas
Computational Mechanics 67, 1255-1271, 2021
342021
An nth high order perturbation-based stochastic isogeometric method and implementation for quantifying geometric uncertainty in shell structures
C Ding, KK Tamma, X Cui, Y Ding, G Li, SPA Bordas
Advances in Engineering Software 148, 102866, 2020
342020
Accurate analysis and thickness optimization of tailor rolled blanks based on isogeometric analysis
CS Ding, XY Cui, GY Li
Structural and Multidisciplinary Optimization 54, 871-887, 2016
322016
SiC-functionalized fluorescent aptasensor for determination of Proteus mirabilis
W Yao, J Shi, J Ling, Y Guo, C Ding, Y Ding
Microchimica Acta 187, 1-8, 2020
252020
Proper orthogonal decomposition and Monte Carlo based isogeometric stochastic method for material, geometric and force multi-dimensional uncertainties
C Ding, RR Deokar, X Cui, G Li, Y Cai, KK Tamma
Computational Mechanics 63, 521-533, 2019
252019
Resolving high frequency issues via proper orthogonal decomposition based dynamic isogeometric analysis for structures with dissimilar materials
C Ding, RR Deokar, H Lian, Y Ding, G Li, X Cui, KK Tamma, SPA Bordas
Computer Methods in Applied Mechanics and Engineering 359, 112753, 2020
202020
Stochastic stable node-based smoothed finite element method for uncertainty and reliability analysis of thermo-mechanical problems
B Wang, Y Cai, Z Li, C Ding, T Yang, X Cui
Engineering Analysis with Boundary Elements 114, 23-44, 2020
182020
Exact and efficient isogeometric reanalysis of accurate shape and boundary modifications
C Ding, X Cui, G Huang, G Li, KK Tamma
Computer Methods in Applied Mechanics and Engineering 318, 619-635, 2017
182017
Modeling and simulation of steady heat transfer analysis with material uncertainty: Generalized nth order perturbation isogeometric stochastic method
C Ding, X Cui, RR Deokar, G Li, Y Cai, KK Tamma
Numerical Heat Transfer, Part A: Applications 74 (9), 1565-1582, 2018
172018
An isogeometric independent coefficients (IGA-IC) reduced order method for accurate and efficient transient nonlinear heat conduction analysis
C Ding, X Cui, RR Deokar, G Li, Y Cai, KK Tamma
Numerical Heat Transfer, Part A: Applications 73 (10), 667-684, 2018
152018
A gradient-based shape optimization scheme via isogeometric exact reanalysis
C Ding, X Cui, G Huang, G Li, KK Tamma, Y Cai
Engineering Computations 35 (8), 2696-2721, 2018
142018
Full-field order-reduced Gaussian Process emulators for nonlinear probabilistic mechanics
C Ding, H Rappel, T Dodwell
Computer Methods in Applied Mechanics and Engineering 405, 115855, 2023
122023
Functional order-reduced Gaussian Processes based machine-learning emulators for probabilistic constitutive modelling
C Ding, Y Chen, H Rappel, T Dodwell
Composites Part A: Applied Science and Manufacturing 173, 107695, 2023
62023
Multi-DORGP for fast uncertainty quantification of multi-scale irregular defects in super large-scale fiber-reinforced composite
Y Cheng, T Rabczuk, C Ding
Composites Part A: Applied Science and Manufacturing 182, 108196, 2024
42024
Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data
C He, X Peng, C Ding
Computer Methods in Applied Mechanics and Engineering 417, 116394, 2023
32023
Simple yet effective adaptive activation functions for physics-informed neural networks
J Zhang, C Ding
Computer Physics Communications 307, 109428, 2025
22025
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