Health assessment of the wharf based on evidential reasoning rule considering optimal sensor placement

To achieve an accurate structural health assessment, data collected by multiple sensors needs to be fused effectively. When the number of sensors is limited, it is necessary to determine the reasonable position of sensors and adopt the adequate fusion method. Therefore, a structural health assessmen...

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Vydané v:Measurement : journal of the International Measurement Confederation Ročník 186; s. 110184
Hlavní autori: Zhang, Chaoli, Zhou, Zhijie, Hu, Guanyu, Yang, Lihao, Tang, Shuaiwen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Elsevier Ltd 01.12.2021
Elsevier Science Ltd
Predmet:
Algorithms
Covariance matrix
Discrete integer coding covariance matrix adaptive evolution strategy
Evidential reasoning
Evidential reasoning rule
Evolutionary algorithms
Finite element analysis
Finite element method
Liquefied natural gas
LNG wharf
Modal analysis
Optimal sensor placement
Placement
Position sensing
Probability
Sensors
Structural health assessment
Wharves
Optimal sensor placement
Discrete integer coding covariance matrix adaptive evolution strategy
Structural health assessment
LNG wharf
Evidential reasoning rule
ISSN:0263-2241, 1873-412X
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Shrnutí:To achieve an accurate structural health assessment, data collected by multiple sensors needs to be fused effectively. When the number of sensors is limited, it is necessary to determine the reasonable position of sensors and adopt the adequate fusion method. Therefore, a structural health assessment method based on evidential reasoning (ER) rule considering the optimal sensor placement (OSP) is proposed in this paper. In particularly, the discrete integer coding covariance matrix adaptive evolution strategy (D-CMAES) algorithm is developed to determine the scheme of OSP based on the finite element modal analysis (FEMA). Furthermore, in order to select adequate sensors whose data will be fused by the ER rule, a strategy for determining the weight of the ER rule is proposed according to the perception probability. The effectiveness of the proposed method is verified by a case study about the health assessment of the LNG wharf in Hainan, China. •Optimal sensor placement is considered in structural health assessment.•The establishment of health assessment model for the LNG wharf.•Perception probability is used as evidence weight in the assessment.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2021.110184