Följ
Chensen Ding
Titel
Citeras av
Citeras av
År
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
502020
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
372019
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
332019
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
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
292020
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
272021
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
192020
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
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
162018
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
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
132024
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
132020
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
132018
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
52023
Isogeometric independent coefficients method for fast reanalysis of structural modifications
C Ding
Engineering Computations 37 (4), 1341-1368, 2020
22020
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
12023
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
12023
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, 108196, 2024
2024
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20