Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Sunyoung Im"'
2
A surrogate model for real-time dynamic simulation of dielectric elastomer actuators via long short-term memory networks
Autor: Sunyoung Im, Maenghyo Cho, Chien Truong-Quoc
Publikováno v: Mechanics of Advanced Materials and Structures. 29:6860-6880
A surrogate model for dynamical behavior of dielectric elastomer actuators was proposed, the reduced-order framework was based on long short-term memory (LSTM) networks, and the combination of prop...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::546f84fe590c09d51e96b6e2cd587821
https://doi.org/10.1080/15376494.2021.1986611
Zobrazit plný text záznamu
3
Neural network-based prediction of the long-term time-dependent mechanical behavior of laminated composite plates with arbitrary hygrothermal effects
Autor: Sunyoung Im, Maenghyo Cho, Chien Truong-Quoc, Jang-Woo Han, Sy-Ngoc Nguyen
Publikováno v: Journal of Mechanical Science and Technology. 35:4643-4654
Recurrent neural network (RNN)-based accelerated prediction was achieved for the long-term time-dependent behavior of viscoelastic composite laminated Mindlin plates subjected to arbitrary mechanical and hygrothermal loading. Time-integrated constitu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3bd2c97755f80330c97c3f9679479f3
https://doi.org/10.1007/s12206-021-0932-2
Zobrazit plný text záznamu
4
Multiscale modeling to characterize electromechanical behaviors of CNT/polymer nanocomposites considering the matrix damage and interfacial debonding
Autor: Kyungmin Baek, Sunyoung Im, Wonseok Lee, Ingyun Chung, Maenghyo Cho
Publikováno v: Mechanics of Advanced Materials and Structures. 29:2322-2341
A hierarchical multiscale modeling for analyzing the electromechanical behaviors of carbon nanotube/polymer nanocomposites is presented, considering the matrix damage as well as interfacial debondi...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dde9db2077fbfbd77714ce6861d105c4
https://doi.org/10.1080/15376494.2020.1861396
Zobrazit plný text záznamu
6
Neural network constitutive model for crystal structures
Autor: Maenghyo Cho, Hyung-Jun Kim, Won Bae Kim, Sunyoung Im
Publikováno v: Computational Mechanics. 67:185-206
Neural network constitutive models (NNCMs) for crystal structures are proposed based on computationally generated high-fidelity data. Stress, and tangent modulus data are generated under various strain states using empirical potentials and first-prin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c2d14a20c055ba51e563bb8be132c95
https://doi.org/10.1007/s00466-020-01927-w
Zobrazit plný text záznamu
9
Reduction process based on proper orthogonal decomposition for dual formulation of dynamic substructures
Autor: Sunyoung Im, Maenghyo Cho, Euiyoung Kim
Publikováno v: Computational Mechanics. 64:1237-1257
Novel reduction processes utilizing the proper orthogonal decomposition method have been proposed to facilitate dual formulation of dynamic substructures. Dual formulation is significant owing to its capability of effectively solving ill-conditioned
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6652501e2cf38aafe51570cdd6c8b77
https://doi.org/10.1007/s00466-019-01702-6
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje