|
An empirical study on stress-based fail-safe topology optimization and multiple load path design
|
|
Micah Kranz, Julian K. Lüdeker, Benedikt Kriegesmann
|
64 |
4 |
2113–2134 |
2021 |
12.29 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
A guide-weight criterion-based topology optimization method for maximizing the fundamental eigenfrequency of the continuum structure
|
|
Jingping Liao, Gao Huang, Qiang Huang
|
64 |
4 |
2135–2148 |
2021 |
8.5 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
A density-based topology optimization method using radial basis function and its design variable reduction
|
|
Shangjun Shi, Pingzhang Zhou, Zhenhua Lü
|
64 |
4 |
2149–2163 |
2021 |
13.27 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
An enhanced active learning Kriging model for evidence theory-based reliability analysis
|
|
Xufeng Yang, Liu Zeqing, Xin Cheng
|
64 |
4 |
2165–2181 |
2021 |
14.16 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Inverse uncertainty quantification for imprecise structure based on evidence theory and similar system analysis
|
|
Lixiong Cao, Jie Liu, Zhongbo Yu
|
64 |
4 |
2183–2198 |
2021 |
12.28 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Advanced surrogate-based time-dependent reliability analysis method by an effective strategy of reducing the candidate sample pool
|
|
Lixia Gao, Zhenzhou Lu, Xia Jiang
|
64 |
4 |
2199–2212 |
2021 |
13.24 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Topology optimization of multiple-barrier synchronous reluctance motors with initial random hollow circles
|
|
Changwoo Lee, In Gwun Jang
|
64 |
4 |
2213–2224 |
2021 |
16.16 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Approximating solution spaces as a product of polygons
|
|
Helmut Harbrecht, Dennis Tröndle, Markus Zimmermann
|
64 |
4 |
2225–2242 |
2021 |
16.03 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Vibration-based damage detection of structures employing Bayesian data fusion coupled with TLBO optimization algorithm
|
|
Swarup K. Barman, Mayank Mishra, Damodar Maity
|
64 |
4 |
2243–2266 |
2021 |
14.23 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|
|
Chebyshev inequality–based inflated convex hull for uncertainty quantification and optimization with scarce samples
|
|
Sivakumar Ayyasamy, Palaniappan Ramu, Isaac Elishakoff
|
64 |
4 |
2267–2285 |
2021 |
12.35 |
|
Average Rating: 0.0 / 5
(0 Reviews)
|