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Structural and Multidisciplinary Optimization - 巻 66 / 号 1
タイトル
著者
巻
号
ページ
年
PKV
A novel data-driven sparse polynomial chaos expansion for high-dimensional problems based on active subspace and sparse Bayesian learning
Wanxin He, Gang Li, Yixuan Wang
66
1
29–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Non-probabilistic uncertain design for spaceborne membrane microstrip reflectarray antenna by using topology optimization
Yanben Han, Meng Li, Chengbo Cui
66
1
28–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
The connection between digital-twin model and physical space for rotating blade: an atomic norm-based BTT undersampled signal reconstruction method
Ruochen Jin, Laihao Yang, Xuefeng Chen
66
1
27–None
2023
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Surrogate-based integrated design of component layout and structural topology for multi-component structures
Jianwen Bao, Pai Liu, Yangjun Luo
66
1
26–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Multi-domain acoustic topology optimization based on the BESO approach: applications on the design of multi-phase material mufflers
Rodrigo L. Pereira, Heitor N. Lopes, Renato Pavanello
66
1
25–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Wheel impact test by deep learning: prediction of location and magnitude of maximum stress
Seungyeon Shin, Ah-hyeon Jin, Namwoo Kang
66
1
24–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Correction: A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
Adam Thelen, Xiaoge Zhang, Zhen Hu
66
1
23–None
2023
2.0
平均評価: 0.0 / 5
(0 件のレビュー)
Adaptive kriging model-based structural reliability analysis under interval uncertainty with incomplete data
Peng Wu, Yunlong Li
66
1
22–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Topology optimization with advanced CNN using mapped physics-based data
Junhyeon Seo, Rakesh K. Kapania
66
1
21–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
Deep neural networks for parameterized homogenization in concurrent multiscale structural optimization
Nolan Black, Ahmad R. Najafi
66
1
20–None
2023
1.0
平均評価: 0.0 / 5
(0 件のレビュー)
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