Stochastic Modal Analysis
Stochastic Modal Analysis is a computational framework within modal analysis that incorporates probabilistic methods to account for uncertainties in system parameters, thereby enabling the prediction of statistical distributions of modal properties such as natural frequencies, mode shapes, and damping ratios.
42
Publications
1.7K
Citations
115
Authors
68
Institutions
Publications per year
2017–2026
12
Parents
42
Michael Döhler, Xuan-Binh Lam, Laurent Mevel · Mechanical Systems and Signal Processing · 2013 · 113 citations · Full text
Engineering, Computational Engineering, Systems Engineering +17
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68

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
6 publications
622 citations

Central South University
Changsha, China
2 h-index
2 publications
42 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
106 citations
Universität der Bundeswehr München
Munich, Germany
2 h-index
4 publications
104 citations

Hefei University of Technology
Hefei, China
2 h-index
4 publications
84 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
2 publications
38 citations

Northeastern University
Shenyang, China
1 h-index
1 publications
15 citations
Michigan Technological University
Houghton, United States
1 h-index
1 publications
18 citations
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JSV · 8 publications · 285 citations
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MSSP · 4 publications · 193 citations
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2 publications · 29 citations
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2 publications · 125 citations
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1 publications · 22 citations
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