Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Guanchu Chen"'
Autor:
Guanchu Chen, Hiroki Yamashita, Yeefeng Ruan, Paramsothy Jayakumar, David Gorsich, Jaroslaw Knap, Kenneth W. Leiter, Xiaobo Yang, Hiroyuki Sugiyama
Publikováno v:
Journal of Computational and Nonlinear Dynamics. 18
A new hierarchical multiscale terrain model is developed using the material point method (MPM) to enable effective modeling of large terrain deformation for high-fidelity off-road mobility simulations. Unlike the Lagrangian finite element (FE) model,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a7e2aa869d2b3f72d5c474ad1d202da
https://doi.org/10.1115/1.4062204
https://doi.org/10.1115/1.4062204
Publikováno v:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71bc90eb7f4fdc2296a36b4dbb147623
https://doi.org/10.1109/spies55999.2022.10082521
https://doi.org/10.1109/spies55999.2022.10082521
Publikováno v:
2022 IEEE Sustainable Power and Energy Conference (iSPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5847da64729dad61c55fb16e0f773c12
https://doi.org/10.1109/ispec54162.2022.10033017
https://doi.org/10.1109/ispec54162.2022.10033017
Autor:
Guanchu Chen, Hiroki Yamashita, Hiroyuki Sugiyama, Yeefeng Ruan, Paramsothy Jayakumar, David Gorsich, Kenneth W. Leiter, Jaroslaw Knap, Xiaobo Yang
Publikováno v:
Volume 9: 18th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC).
In this study, a computational framework for the material point method (MPM) terrain model is developed for off-road mobility simulations to account for large granular terrain deformation in high-fidelity off-road mobility simulations. The Lagrangian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f34921b8a3f33043e9e042961d44a57a
https://doi.org/10.1115/detc2022-89632
https://doi.org/10.1115/detc2022-89632
Publikováno v:
2022 International Conference on Renewable Energies and Smart Technologies (REST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e316e664a9ce90988ddb141eeaab97fc
https://doi.org/10.1109/rest54687.2022.10023396
https://doi.org/10.1109/rest54687.2022.10023396
Publikováno v:
2021 IEEE Sustainable Power and Energy Conference (iSPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1816c4ad7c6839fe04419d30e2d0f04b
https://doi.org/10.1109/ispec53008.2021.9735829
https://doi.org/10.1109/ispec53008.2021.9735829
Publikováno v:
Volume 2: 16th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC).
Scalable parallel computing schemes play an important role in physics-based off-road mobility simulations due to complexities in modeling soil behavior for vehicle-terrain interaction. With the hierarchical multiscale off-road mobility simulation cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1688713c0dd868eb2f5474be1152b4c
https://doi.org/10.1115/detc2020-22195
https://doi.org/10.1115/detc2020-22195
Publikováno v:
Journal of Computational and Nonlinear Dynamics. 15
In this work, a scalable parallel computing scheme for the hierarchical multiscale off-road vehicle mobility simulation capability is developed with the hybrid message passing interface (MPI)/OpenMP framework, and it is validated against full-scale v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e0ec8240240e3a9697332a4e9847fd
https://doi.org/10.1115/1.4046666
https://doi.org/10.1115/1.4046666
Autor:
Jing, Liang, Teng, Tu, Guanchu, Chen, Yuanwei, Sun, Ruixi, Qiao, He, Ma, Wentao, Yu, Xu, Zhou, Chaojie, Ma, Peng, Gao, Hailin, Peng, Kaihui, Liu, Dapeng, Yu
Publikováno v:
Advanced materials (Deerfield Beach, Fla.). 32(31)
Bismuth oxyselenide (Bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e38304e945e402d54079b53e7dd026c6
https://pubmed.ncbi.nlm.nih.gov/32583941
https://pubmed.ncbi.nlm.nih.gov/32583941