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

Piotr Omenzetter

doi:10.1117/12.2258218

9 May 2017 A framework for quantifying and optimizing the value of seismic monitoring of infrastructure

Piotr Omenzetter

Proceedings Volume 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017; 101691A (2017) https://doi.org/10.1117/12.2258218
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

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.

Conference Presentation

Citation Download Citation

Piotr Omenzetter "A framework for quantifying and optimizing the value of seismic monitoring of infrastructure", Proc. SPIE 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017, 101691A (9 May 2017); https://doi.org/10.1117/12.2258218

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