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Semantic Description of Structural Health Monitoring Algorithms Using Building Information Modeling

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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

Information exchange among project stakeholders as part of structural life-cycle management has been gaining increasing interest in civil engineering. An integral part of structural life-cycle management is the operation and maintenance phase of structures, which is frequently associated with structural health monitoring (SHM). SHM has emerged as a novel methodology enabling the assessment of structural conditions by extracting information from structural response data and environmental data collected by sensors attached to structures. Representing a paradigm for exchanging information among stakeholders for structural life-cycle management, conventional building information, such as geometry, material and cost, is structured in so-called “building information models”. These models are defined within building information modeling (BIM) standards, such as the Industry Foundation Classes (IFC). Furthermore, in recent research efforts, IFC-compliant descriptions of “monitoring-related information”, i.e. information on SHM systems, have been reported. However, semantic descriptions of algorithms employed for SHM (“SHM-related algorithms”) have not yet received adequate research attention. This paper introduces a semantic description approach for modeling and integrating SHM-related algorithms into IFC-based building information models. Specifically, this study focuses on algorithms embedded into wireless sensor nodes for automatically processing SHM data on board. The semantic description approach is validated by describing a wireless SHM system installed on a laboratory test structure designed and implemented with an embedded algorithm (fast Fourier transform). The expected outcome of this study is essentially an extension to the current IFC schema enabling the description of SHM-related algorithms in conjunction with SHM systems and structures to be monitored.

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Acknowledgments

This research is partially supported by the German Research Foundation (DFG) under grant SM 281/7-1. The financial support is gratefully appreciated. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the German Research Foundation.

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Authors and Affiliations

  1. Bauhaus University Weimar, Coudraystr. 7, 99423, Weimar, Germany

    Michael Theiler, Kosmas Dragos & Kay Smarsly

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  1. Michael Theiler
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  2. Kosmas Dragos
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  3. Kay Smarsly
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Correspondence to Michael Theiler .

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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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Theiler, M., Dragos, K., Smarsly, K. (2018). Semantic Description of Structural Health Monitoring Algorithms Using Building Information Modeling. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-91638-5_8

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  • Online ISBN: 978-3-319-91638-5

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