A framework for quantifying and optimizing the value of seismic monitoring of infrastructure

Piotr Omenzetter*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

This paper outlines a framework for quantifying and optimizing the value of information from structural health monitoring (SHM) technology deployed on large infrastructure, which may sustain damage in a series of earthquakes (the main and the aftershocks). The evolution of the damage state of the infrastructure without or with SHM is presented as a time-dependent, stochastic, discrete-state, observable and controllable nonlinear dynamical system. The pre-posterior Bayesian analysis and the decision tree are used for quantifying and optimizing the value of SHM information. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage optimally the usage and operations of the possibly damaged infrastructure and its repair schedule using the information from SHM. The objective function to minimize is the expected total cost or risk.

Original languageEnglish
Title of host publicationNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017
EditorsH. Felix Wu, Andrew L. Gyekenyesi, Peter J. Shull, Tzu-Yang Yu
PublisherSPIE
Number of pages9
Volume10169
ISBN (Electronic)9781510608238
DOIs
Publication statusPublished - 9 May 2017
EventConference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017 - Portland, United States
Duration: 26 Mar 201729 Mar 2017

Conference

ConferenceConference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017
CountryUnited States
CityPortland
Period26/03/1729/03/17

Keywords

  • Earthquakes
  • Structural health monitoring
  • Dynamical systems

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Omenzetter, P. (2017). A framework for quantifying and optimizing the value of seismic monitoring of infrastructure. In H. F. Wu, A. L. Gyekenyesi, P. J. Shull, & T-Y. Yu (Eds.), Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017 (Vol. 10169). [101691A] SPIE. https://doi.org/10.1117/12.2258218