Damage detection and deteriorating structural systems
(2017) 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 In Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 1. p.1276-1283- Abstract
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... (More)
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.
(Less)
- author
- Long, Lijia ; Thöns, Sebastian LU and Döhler, Michael
- publishing date
- 2017-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Structural Health Monitoring 2017 : Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 - Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
- series title
- Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
- editor
- Chang, Fu-Kuo and Kopsaftopoulos, Fotis
- volume
- 1
- pages
- 8 pages
- publisher
- DEStech Publications
- conference name
- 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
- conference location
- Stanford, United States
- conference dates
- 2017-09-12 - 2017-09-14
- external identifiers
-
- scopus:85032436881
- ISBN
- 9781605953304
- DOI
- 10.12783/shm2017/13997
- language
- English
- LU publication?
- no
- id
- b684fb24-dcad-4b6f-a19b-3e8bb65e2bd9
- date added to LUP
- 2020-09-09 09:15:38
- date last changed
- 2022-04-19 00:49:49
@inproceedings{b684fb24-dcad-4b6f-a19b-3e8bb65e2bd9,
abstract = {{<p>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.</p>}},
author = {{Long, Lijia and Thöns, Sebastian and Döhler, Michael}},
booktitle = {{Structural Health Monitoring 2017 : Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017}},
editor = {{Chang, Fu-Kuo and Kopsaftopoulos, Fotis}},
isbn = {{9781605953304}},
language = {{eng}},
month = {{01}},
pages = {{1276--1283}},
publisher = {{DEStech Publications}},
series = {{Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017}},
title = {{Damage detection and deteriorating structural systems}},
url = {{http://dx.doi.org/10.12783/shm2017/13997}},
doi = {{10.12783/shm2017/13997}},
volume = {{1}},
year = {{2017}},
}