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A Prototype Tool of Optimal Wireless Sensor Placement for Structural Health Monitoring

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Advanced Computing Strategies for Engineering (EG-ICE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10864))

Abstract

With increasing collapses of civil infrastructures and popularized utilization of large-scale structures, worldwide deployment of structural health monitoring (SHM) systems is of importance in emerging and future SHM industry. A reliable and practical tool of optimal wireless sensor placement (OWSP) can promote implementation of wireless-based SHM systems by reducing construction cost, extending lifetime and improving detection accuracy. This paper presents a prototype of wireless sensor placement (WSP) for bridge SHM based on multi-objective optimisation (MOO) technique and bridge information modelling (BrIM) technology. MOO technique is used to determine sensor locations by simultaneously searching for multiple trade-offs among structural engineering, wireless engineering and construction management. The BrIM model will be used as a platform to validate and visualize the proposed MOO. A BrIM integrated design tool will be developed to improve the efficiency in design stage through visualisation capabilities and semantic enrichment of a bridge model. As future applications, 4D BrIM that combines time-related information in visual environments with the 3D geometric and semantic BrIM model will help engineers and contractors to visualise possible defects and project costs in the real world.

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Acknowledgements

This research was partially supported under Australian Research Council Linkage Project scheme (project number: LP160100528).

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Authors and Affiliations

  1. Australian Joint Research Centre for Building Information Modelling, Curtin University, Bentley, WA, 6102, Australia

    Weixiang Shi, Changzhi Wu & Xiangyu Wang

Authors
  1. Weixiang Shi
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  2. Changzhi Wu
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  3. Xiangyu Wang
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Corresponding author

Correspondence to Changzhi Wu .

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Editors and Affiliations

  1. Applied Computing and Mechanics Laboratory (IMAC), School of Architecture, Civil and Environmental Engineering (ENAC), Swiss Federal Institute of Technology, Lausanne (EPFL), Lausanne, Switzerland

    Ian F. C. Smith

  2. Institute for Landscape, Architecture, Construction and Territory (inPact) Construction and Environment Department (CED), University of Applied Sciences, Geneva (HEPIA), Geneva, Switzerland

    Bernd Domer

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Shi, W., Wu, C., Wang, X. (2018). A Prototype Tool of Optimal Wireless Sensor Placement for Structural Health Monitoring. In: Smith, I., Domer, B. (eds) Advanced Computing Strategies for Engineering. EG-ICE 2018. Lecture Notes in Computer Science(), vol 10864. Springer, Cham. https://doi.org/10.1007/978-3-319-91638-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-91638-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91637-8

  • Online ISBN: 978-3-319-91638-5

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