Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage

Piotr Omenzetter, Ufuk Yazgan, Serdar Soyoz, Maria Pina Limongelli

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


This paper proposes a framework for quantifying the value of information that can be derived from a structural health monitoring (SHM) system installed on a bridge which may sustain damage in the mainshock of an earthquake and further damage in an aftershock. The pre-posterior Bayesian analysis and the decision tree are the two main tools employed. The evolution of the damage state of the bridge with an SHM system is cast as a time-dependent, stochastic, discrete-state, observable dynamical system. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage traffic and usage of a possibly damaged structure using the information from SHM. The objective function is the expected total cost or risk. The paper then discusses how to quantify bridge damage probability through stochastic seismic hazard and fragility analysis, how to update these probabilities using SHM technologies, and how to quantify bridge failure consequences.
Original languageEnglish
Title of host publicationProceedings of the Joint COST Actions TU1402 & TU1406 and IABSE WC1 Workshop
Subtitle of host publicationThe Value of Structural Health Monitoring for the Reliable Bridge Management
EditorsAna Mandic Ivankovic, Jose Matos, Sebastian Thons, Niels Peter Hoj
Place of PublicationZagreb
PublisherUniversity of Zagreb
Number of pages12
ISBN (Print)9789538168086
Publication statusPublished - 2017
EventJoint Workshop of COST TU1402 - COST TU1406 – IABSE WC1 - Zagreb, Croatia
Duration: 2 Mar 20173 Mar 2017


WorkshopJoint Workshop of COST TU1402 - COST TU1406 – IABSE WC1

Bibliographical note

Piotr Omenzetter works at the Lloyd’s Register Foundation Centre for Safety and Reliability Engineering at the University of Aberdeen. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research. The COST Action TU1402 on Quantifying the Value of Structural Health Monitoring is gratefully acknowledged for networking support.


  • Bridges
  • pre-posterior analysis
  • seismic damage
  • seismic risk
  • seismic structural health monitoring
  • value of information


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