Quantification of the value of monitoring information for deteriorated structures

An efficient structural integrity management of deteriorated structures is of high societal value. Monitoring can be very beneficial as it is well developed with diverse technologies, algorithms and systems. However, the value or the utility of monitoring is seldom quantified and infrastructure owners and operators may be reluctant to invest in large systems for which the benefit is not clearly specified. In order to overcome this issue, recent research efforts (such as e.g. the COST Action TU1402) focus on utilising the Bayesian pre-posterior decision theory (1) to quantify the value of monitoring information and (2) to perform the quantification before implementation of the monitoring system.

This PhD focusses on deteriorated structures such as bridges and wind turbines and the development of monitoring strategies to most efficiently plan the structural integrity management throughout and prolonging the service life. The expected results comprise the documentation of efficient monitoring strategies for deteriorated structures and the quantification of their utility in terms of risk reduction, expected cost reduction and service life benefits for industrial application and for the value of society.

Keywords: damage detection, probabilistic model, value of information, Bayesian decision analysis, deterioration model
Research fields: engineering decision, risk analysis.

BAM (Berlin, Germany)
Bundesanstalt für Materialforschung und -prüfung
Federal Institute for Materials Research and Testing

Aalborg University (Denmark)

PhD director: Prof. John Dalsgaard Sørensen (AAU)

36 months
From 01.12.2016 to 30.11.2019

Approaches, methods and tools are developed, applied and disseminated for the quantification of the value of monitoring information for highly deteriorated structures.
The objective of this PhD is the identification of monitoring strategies to efficiently manage and to enlarge the service life of deteriorated structures.

  • Extensive literature study on Value of Information (VoI), decision theory, Structural Health Monitoring (SHM), structural integrity management and deteriorated structures.
  • Further development of approaches and methods for the quantification of monitoring information on the basis of utility and decision theory.
  • Development of tools for the quantification of the value of monitoring information.
  • Application of the tools in case studies.
  • Dissemination of research results and thesis writing.

The expected results comprise the documentation of efficient strategies for monitoring deteriorated structures and the quantification of their utility in terms of risk reduction, expected cost reduction and service life benefits.
The research results are to be disseminated at international conferences and in reviewed scientific journals.

  • AAU (Aalborg, Denmark)
    April & May 2017
    The aim of this secondment is to obtain additional scientific input on risk and decision analysis and wind turbine modelling.
  • COWI (Kongens Lyngby, Denmark)
    October 2018 to January 2019
    The aim of this secondment is the performance of case studies in the environment of the consulting company COWI.
  • Thöns S., Schneider R., Faber M.H.
    Quantification of the Value of Structural Health Monitoring Information for Fatigue Deteriorating Structural Systems
    12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, 2015
  • Schneider R., Fischer J., Straub D., Thöns S., Bügler M., Borrmann A.
    Intelligent Structures - Prototype for the Condition Assessment and Damage Development Prognosis for Elements of the Bridge Model
    Carl Schünemann Verlag GmbH, 2015. ISBN: 978-3-95606-190-5
  • Thöns S., Faber M.H., Rücker W.
    Life Cycle Cost Optimized Monitoring Systems for Offshore Wind Turbine Structures
    IRIS Industrial Safety and Life Cycle Engineering: Technologies / Standards / Applications, VCE Vienna Consulting Engineers Zt GmbH, Vienna,  Austria, 2013. ISBN: 978-3-200-03179-1

Publications

Outreach activities

ESR12 Lijia Long:

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ESR12: Lijia Long (BAM)

lijia.long@bam.de

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Local academic supervisor: Assoc. Prof. Sebastian Thöns (DTU)

sebt@byg.dtu.dk

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Industrial co-supervisor: Dr. Isaac Farreras Alcover (COWI)

ifal@cowi.com

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PhD director: Prof. John Dalsgaard Sørensen (AAU)

jds@civil.aau.dk