Value of information-based inspection, monitoring, and damage detection system planning

Arifian Agusta, Sebastian Thöns, John D. Sørensen

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Inspections, Structural Health Monitoring (SHM), and Damage Detection System (DDS) are integral parts of structural integrity management (SIM) to ensure the structural performance and the required safety. This paper describes novel approaches on how the outcomes of Structural Health Monitoring (SHM) can be modeled, predicted, and combined with inspection planning in the frame of pre-posterior decision analysis and utilized for an optimization of the SIM. The SIM is hereby formulated for a deteriorating structural system subjected to extreme loading with the objective to minimize the risk and expected costs for an envisaged and extended service life. Due to the complexity of the decision analysis for this type of problem, several simplifications and a decision rule are derived and discussed to reduce the computational costs. An application example with a deteriorating brittle Daniels system is presented and discussed. The example shows SHM and DDS can be utilized together with inspections to further optimize SIM strategy and reduce the expected costs over the service life.

Original languageEnglish
Title of host publication13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13Seoul, South Korea, May 26-30, 2019
Place of PublicationSeoul
PublisherLibrary of Seoul National University
Number of pages8
DOIs
Publication statusPublished - 2019 Jan 1
Externally publishedYes
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of
Duration: 2019 May 262019 May 30

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Country/TerritoryKorea, Republic of
CitySeoul
Period2019/05/262019/05/30

Subject classification (UKÄ)

  • Reliability and Maintenance

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