Damage Detection and Deteriorating Structural Systems

Lijia Long, Sebastian Thöns, Michael Döhler

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    This paper addresses the quantification of the value of damage detection system and algorithm information on the basis of Value of Information (VoI) analysis to enhance the benefit of damage detection information by providing the basis for its optimization before it is performed and implemented. The approach of the quantification the value of damage detection information builds upon the Bayesian decision theory facilitating the utilization of damage detection performance models, which describe the information and its precision on structural system level, facilitating actions to ensure the structural integrity and facilitating to describe the structural system performance and its functionality throughout the service life. The structural system performance is described with its functionality, its deterioration and its behavior under extreme loading. The structural system reliability given the damage detection information is determined utilizing Bayesian updating. The damage detection performance is described with the probability of indication for different component and system damage states taking into account type 1 and type 2 errors. The value of damage detection information is then calculated as the difference between the expected benefits and risks utilizing the damage detection information or not. With an application example of the developed approach based on a deteriorating Pratt truss system, the value of damage detection information is determined, demonstrating the potential of risk reduction and expected cost reduction.
    Original languageEnglish
    Title of host publicationStructural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance
    PublisherDEStech Publications, Inc.
    Publication date2017
    ISBN (Electronic)978-1-60595-330-4
    Publication statusPublished - 2017
    Event11th International Workshop on Structural Health Monitoring - Stanford, United States
    Duration: 12 Sep 201714 Sep 2017
    Conference number: 11


    Conference11th International Workshop on Structural Health Monitoring
    Country/TerritoryUnited States


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