TY - JOUR
T1 - On information modeling in structural integrity management
AU - Ali, Kashif
AU - Qin, Jianjun
AU - Faber, Michael Havbro
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors acknowledge the funding received from the Center for Oil and Gas—DTU/Danish Hydrocarbon Research and Technology Center (DHRTC).
Publisher Copyright:
© The Author(s) 2020.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2022
Y1 - 2022
N2 - Value of information analyses in structural integrity management has gained significant interest over especially the last decade. The concept of value of information analysis provides a methodical framework facilitating for the optimization of strategies for information collection through inspections and structural health monitoring. The information, which is collected, represents indications of the condition and performance of the structure and is generally subject to significant uncertainties. An important part of this uncertainty is directly related to the quality of the techniques that are utilized for collecting information. Whereas such uncertainties are generally appreciated and accounted for in the research literature, it is generally assumed that information of relevance of integrity management, collected over space and time, is unbiased and independent. In the present contribution, we investigate the possible consequences of such assumptions. To this end, we model the value of information associated with information collection and evaluate the effect of introducing biases and dependencies on the value of information. Two different probabilistic models are introduced to represent and study the effect of possible biases corresponding to the case where biases in information collected at different times are independent or fully dependent, respectively. The study is supported by the address of two different integrity management problems considering (1) an oil well tubing system subject to scaling and (2) a welded detail in steel structures subject to fatigue degradation.
AB - Value of information analyses in structural integrity management has gained significant interest over especially the last decade. The concept of value of information analysis provides a methodical framework facilitating for the optimization of strategies for information collection through inspections and structural health monitoring. The information, which is collected, represents indications of the condition and performance of the structure and is generally subject to significant uncertainties. An important part of this uncertainty is directly related to the quality of the techniques that are utilized for collecting information. Whereas such uncertainties are generally appreciated and accounted for in the research literature, it is generally assumed that information of relevance of integrity management, collected over space and time, is unbiased and independent. In the present contribution, we investigate the possible consequences of such assumptions. To this end, we model the value of information associated with information collection and evaluate the effect of introducing biases and dependencies on the value of information. Two different probabilistic models are introduced to represent and study the effect of possible biases corresponding to the case where biases in information collected at different times are independent or fully dependent, respectively. The study is supported by the address of two different integrity management problems considering (1) an oil well tubing system subject to scaling and (2) a welded detail in steel structures subject to fatigue degradation.
KW - value of information
KW - structural integrity management
KW - biased information
KW - dependency
UR - http://www.scopus.com/inward/record.url?scp=85095942770&partnerID=8YFLogxK
U2 - 10.1177/1475921720968292
DO - 10.1177/1475921720968292
M3 - Journal article
AN - SCOPUS:85095942770
SN - 1475-9217
VL - 21
SP - 59
EP - 71
JO - Structural Health Monitoring
JF - Structural Health Monitoring
IS - 1
ER -