A New Optimal Sensor Placement Strategy Based on Modified Modal Assurance Criterion and Improved Adaptive Genetic Algorithm for Structural Health Monitoring

Optimal sensor placement (OSP) is an important part in the structural health monitoring. Due to the ability of ensuring the linear independence of the tested modal vectors, the minimum modal assurance criterion (minMAC) is considered as an effective method and is used widely. However, some defects a...

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Bibliographic Details
Published in:Mathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 10
Main Authors: Wang, Ronghao, Yang, Qiliang, Li, Juelong, Xing, Jianchun, He, Can, Zhang, Xun
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
John Wiley & Sons, Inc
Subjects:
Adaptive algorithms
Bridges
Computation
Data processing
Defects
Effectiveness
Efficiency
Engineering
Experiments
Genetic algorithms
High rise buildings
Mathematical models
Matrices (mathematics)
Modal assurance criterion
Mutation
Neural networks
Numerical analysis
Optimization
Optimization algorithms
Parameter identification
Placement
Seismic engineering
Sensors
Strain energy
Strategy
Structural health monitoring
Wharves
ISSN:1024-123X, 1563-5147
Online Access:Get full text
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Summary:Optimal sensor placement (OSP) is an important part in the structural health monitoring. Due to the ability of ensuring the linear independence of the tested modal vectors, the minimum modal assurance criterion (minMAC) is considered as an effective method and is used widely. However, some defects are present in this method, such as the low modal energy and the long computation time. A new OSP method named IAGA-MMAC is presented in this study to settle the issue. First, a modified modal assurance criterion (MMAC) is proposed to improve the modal energy of the selected locations. Then, an improved adaptive genetic algorithm (IAGA), which uses the root mean square of off-diagonal elements in the MMAC matrix as the fitness function, is proposed to enhance computation efficiency. A case study of sensor placement on a numerically simulated wharf structure is provided to verify the effectiveness of the IAGA-MMAC strategy, and two different methods are used as contrast experiments. A comparison of these strategies shows that the optimal results obtained by the IAGA-MMAC method have a high modal strain energy, a quick computational speed, and small off-diagonal elements in the MMAC matrix.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2015/626342