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Optimal Sensor Placement for Health Monitoring of High-Rise Structure Based on Genetic Algorithm

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  • Ting-Hua Yi
  • Hong-Nan Li
  • Ming Gu

Abstract

Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. Based on the criterion of the OSP for the modal test, an improved genetic algorithm, called “generalized genetic algorithm (GGA)†, is adopted to find the optimal placement of sensors. The dual-structure coding method instead of binary coding method is proposed to code the solution. Accordingly, the dual-structure coding-based selection scheme, crossover strategy and mutation mechanism are given in detail. The tallest building in the north of China is implemented to demonstrate the feasibility and effectiveness of the GGA. The sensor placements obtained by the GGA are compared with those by exiting genetic algorithm, which shows that the GGA can improve the convergence of the algorithm and get the better placement scheme.

Suggested Citation

  • Ting-Hua Yi & Hong-Nan Li & Ming Gu, 2011. "Optimal Sensor Placement for Health Monitoring of High-Rise Structure Based on Genetic Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2011, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:395101
    DOI: 10.1155/2011/395101
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    Cited by:

    1. Egidio Lofrano & Marco Pingaro & Patrizia Trovalusci & Achille Paolone, 2020. "Optimal Sensors Placement in Dynamic Damage Detection of Beams Using a Statistical Approach," Journal of Optimization Theory and Applications, Springer, vol. 187(3), pages 758-775, December.
    2. Oladayo S. Ajani & Member Joy Usigbe & Esther Aboyeji & Daniel Dooyum Uyeh & Yushin Ha & Tusan Park & Rammohan Mallipeddi, 2023. "Greenhouse Micro-Climate Prediction Based on Fixed Sensor Placements: A Machine Learning Approach," Mathematics, MDPI, vol. 11(14), pages 1-14, July.

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