Optimal sensor placement based on dynamic condensation using multi-objective optimization algorithm-Reference-Cited by-同舟云学术

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Optimal sensor placement based on dynamic condensation using multi-objective optimization algorithm

Published:2022-07 Issue:7 Volume:65 Page:
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Yang Chen^ORCID,Xia Yuanqing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Young Elite Scientists Sponsorship Program by China Association for Science and Technology

Beijing Institute of Technology Research Fund Program for Young Scholars

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s00158-022-03307-9.pdf

Reference44 articles.

1. An H, Youn BD, Kim HS (2022) Optimal sensor placement considering both sensor faults under uncertainty and sensor clustering for vibration-based damage detection. Struct Multidiscip Optim 65(3):1–32

2. Audoux Y, Montemurro M, Pailhès J (2020) A metamodel based on non-uniform rational basis spline hyper-surfaces for optimisation of composite structures. Compos Struct 247:112439

3. Azarm S, Wu J (2001) Metrics for quality assessment of a multiobjective design optimization solution set. ASME J Mech Des 123(1):18–25

4. Barman SK, Mishra M, Maiti DK, Maity D (2021) Vibration-based damage detection of structures employing Bayesian data fusion coupled with TLBO optimization algorithm. Struct Multidiscip Optim 64(4):2243–2266

5. Bertolino G, Montemurro M, Perry N, Pourroy F (2021) An efficient hybrid optimization strategy for surface reconstruction. Comput Graphics Forum 40(6):215–241

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