Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct

Imane Bayane, Lijia Long, Sebastian Thöns, Eugen Brühwiler

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

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Abstract

Fatigue safety verification of existing bridges that uses ‘‘re-calculation’’ based on codes, usually results in insufficient fatigue safety, triggering invasive interventions. Instead of “re-calculation”, Structural Health Monitoring (SHM) should be used for the assessment of the existing bridges. Monitoring systems provide data that can reduce uncertainties associated with the fatigue loading process and the structural resistance. The objective of this paper is to quantify the value of the SHM system implemented in a 60-years-old road viaduct to investigate its fatigue safety, through modeling of the fundamental decisions of performing monitoring in conjunction with its expected utility. The quantification of the conditional value of information is based on the decision tree analysis that considers the structural reliability, various decision scenarios as well as the cost-benefit assessments. This leads to a quantitative decision basis for the owner about how much time and money can be saved while the viaduct fulfills its function reliably and respects the safety requirements. The originality of this paper stands in the application of the value of information theory to an existing viaduct considering the fatigue failure of the system based on the monitoring data and the cost-benefit of monitoring method.
Original languageEnglish
Title of host publicationICASP13 Proceedings
Number of pages8
Publication date2019
ISBN (Electronic)979-119671250195530
Publication statusPublished - 2019
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul, Korea, Democratic People's Republic of
Duration: 26 May 201930 May 2019
Conference number: 13

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering
Number13
CountryKorea, Democratic People's Republic of
CitySeoul
Period26/05/201930/05/2019

Cite this

@inproceedings{fded8a7030994e83a782441061deaa62,
title = "Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct",
abstract = "Fatigue safety verification of existing bridges that uses ‘‘re-calculation’’ based on codes, usually results in insufficient fatigue safety, triggering invasive interventions. Instead of “re-calculation”, Structural Health Monitoring (SHM) should be used for the assessment of the existing bridges. Monitoring systems provide data that can reduce uncertainties associated with the fatigue loading process and the structural resistance. The objective of this paper is to quantify the value of the SHM system implemented in a 60-years-old road viaduct to investigate its fatigue safety, through modeling of the fundamental decisions of performing monitoring in conjunction with its expected utility. The quantification of the conditional value of information is based on the decision tree analysis that considers the structural reliability, various decision scenarios as well as the cost-benefit assessments. This leads to a quantitative decision basis for the owner about how much time and money can be saved while the viaduct fulfills its function reliably and respects the safety requirements. The originality of this paper stands in the application of the value of information theory to an existing viaduct considering the fatigue failure of the system based on the monitoring data and the cost-benefit of monitoring method.",
author = "Imane Bayane and Lijia Long and Sebastian Th{\"o}ns and Eugen Br{\"u}hwiler",
year = "2019",
language = "English",
booktitle = "ICASP13 Proceedings",

}

Bayane, I, Long, L, Thöns, S & Brühwiler, E 2019, Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct. in ICASP13 Proceedings. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Korea, Democratic People's Republic of, 26/05/2019.

Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct. / Bayane, Imane ; Long, Lijia; Thöns, Sebastian; Brühwiler, Eugen.

ICASP13 Proceedings. 2019.

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

TY - GEN

T1 - Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct

AU - Bayane, Imane

AU - Long, Lijia

AU - Thöns, Sebastian

AU - Brühwiler, Eugen

PY - 2019

Y1 - 2019

N2 - Fatigue safety verification of existing bridges that uses ‘‘re-calculation’’ based on codes, usually results in insufficient fatigue safety, triggering invasive interventions. Instead of “re-calculation”, Structural Health Monitoring (SHM) should be used for the assessment of the existing bridges. Monitoring systems provide data that can reduce uncertainties associated with the fatigue loading process and the structural resistance. The objective of this paper is to quantify the value of the SHM system implemented in a 60-years-old road viaduct to investigate its fatigue safety, through modeling of the fundamental decisions of performing monitoring in conjunction with its expected utility. The quantification of the conditional value of information is based on the decision tree analysis that considers the structural reliability, various decision scenarios as well as the cost-benefit assessments. This leads to a quantitative decision basis for the owner about how much time and money can be saved while the viaduct fulfills its function reliably and respects the safety requirements. The originality of this paper stands in the application of the value of information theory to an existing viaduct considering the fatigue failure of the system based on the monitoring data and the cost-benefit of monitoring method.

AB - Fatigue safety verification of existing bridges that uses ‘‘re-calculation’’ based on codes, usually results in insufficient fatigue safety, triggering invasive interventions. Instead of “re-calculation”, Structural Health Monitoring (SHM) should be used for the assessment of the existing bridges. Monitoring systems provide data that can reduce uncertainties associated with the fatigue loading process and the structural resistance. The objective of this paper is to quantify the value of the SHM system implemented in a 60-years-old road viaduct to investigate its fatigue safety, through modeling of the fundamental decisions of performing monitoring in conjunction with its expected utility. The quantification of the conditional value of information is based on the decision tree analysis that considers the structural reliability, various decision scenarios as well as the cost-benefit assessments. This leads to a quantitative decision basis for the owner about how much time and money can be saved while the viaduct fulfills its function reliably and respects the safety requirements. The originality of this paper stands in the application of the value of information theory to an existing viaduct considering the fatigue failure of the system based on the monitoring data and the cost-benefit of monitoring method.

M3 - Article in proceedings

BT - ICASP13 Proceedings

ER -