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

Piotr Omenzetter

doi:10.1117/12.2258218

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

Piotr Omenzetter^*

^*Corresponding author for this work

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017
Editors	H. Felix Wu, Andrew L. Gyekenyesi, Peter J. Shull, Tzu-Yang Yu
Publisher	SPIE
Number of pages	9
Volume	10169
ISBN (Electronic)	9781510608238
DOIs	https://doi.org/10.1117/12.2258218
Publication status	Published - 9 May 2017
Event	Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017 - Portland, United States Duration: 26 Mar 2017 → 29 Mar 2017

Conference

Conference	Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017
Country/Territory	United States
City	Portland
Period	26/03/17 → 29/03/17

Keywords

Earthquakes
Structural health monitoring
Dynamical systems

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10.1117/12.2258218Licence: Unspecified

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A framework for quantifying and optimizing the value of seismic monitoring of infrastructure. / Omenzetter, Piotr.
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. ed. / H. Felix Wu; Andrew L. Gyekenyesi; Peter J. Shull; Tzu-Yang Yu. Vol. 10169 SPIE, 2017. 101691A.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Omenzetter, P 2017, A framework for quantifying and optimizing the value of seismic monitoring of infrastructure. in HF Wu, AL Gyekenyesi, PJ Shull & T-Y Yu (eds), Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. vol. 10169, 101691A, SPIE, Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017, Portland, United States, 26/03/17. https://doi.org/10.1117/12.2258218

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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.",

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AB - 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.

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Y2 - 26 March 2017 through 29 March 2017

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

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