Profil

DING Chensen

Main Referenced Co-authors
BORDAS, Stéphane  (4)
LIAN, Haojie  (3)
Natarajan, Sundararajan (2)
SUAREZ AFANADOR, Camilo Andrés  (2)
Anitescu, Cosmin (1)
Main Referenced Keywords
algebraic (1); High-dimensional and independent material uncertainties (1); Instructions (1); international conference (1); Model order reduction via proper orthogonal decomposition (1);
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (3)
Mechanical engineering (1)

Publications (total 4)

The most downloaded
524 downloads
Bordas, S., Lian, H., & Ding, C. (2019). Introduction to Isogeometric Analysis. https://hdl.handle.net/10993/38749

The most cited

35 citations (Scopus®)

Ding, C., Deokar, R. R., Ding, Y., Li, G., Cui, X., Tamma, K. K., & Bordas, S. (03 February 2019). Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties. Computer Methods in Applied Mechanics and Engineering, 349, 266-284. doi:10.1016/j.cma.2019.02.004 https://hdl.handle.net/10993/41932

Anitescu, C., Atroshchenko, E., Bordas, S., Ding, C., Jansari, C., Lian, H., Natarajan, S., SUAREZ AFANADOR, C. A., Tomar, S., & Videla, J. (11 April 2019). ADVANCES IN GEOMETRY INDEPENDENT APPROXIMATIONS [Paper presentation]. SYMCOMP 2019, Portugal.

Bordas, S., Lian, H., & Ding, C. (2019). Introduction to Isogeometric Analysis.

Ding, C., Deokar, R. R., Ding, Y., Li, G., Cui, X., Tamma, K. K., & Bordas, S. (03 February 2019). Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties. Computer Methods in Applied Mechanics and Engineering, 349, 266-284. doi:10.1016/j.cma.2019.02.004
Peer Reviewed verified by ORBi

Barbosa, J., Bordas, S., Carvalho, A., Ding, C., Lian, H., Loja, M. A., Mathew, T., Natarajan, S., Rappel, H., Rodrigues, J., & SUAREZ AFANADOR, C. A. (2019). Geometrical and material uncertainties for the mechanics of composites [Paper presentation]. IGA 2019.

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