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The influence of brittle daniels system characteristics on the value of load monitoring information

Thöns, Sebastian LU and Schneider, Ronald (2016) 8th European Workshop on Structural Health Monitoring, EWSHM 2016 In 8th European Workshop on Structural Health Monitoring, EWSHM 2016 1. p.638-646
Abstract

This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results... (More)

This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.

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author
and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Daniels systems, Deterioration, Structural performance, Value of information
host publication
8th European Workshop on Structural Health Monitoring, EWSHM 2016
series title
8th European Workshop on Structural Health Monitoring, EWSHM 2016
volume
1
pages
9 pages
publisher
NDT.net
conference name
8th European Workshop on Structural Health Monitoring, EWSHM 2016
conference location
Bilbao, Spain
conference dates
2016-07-05 - 2016-07-08
external identifiers
  • scopus:84994853715
ISBN
9781510827936
language
English
LU publication?
no
id
1c845b18-4e39-4800-940c-080e463eb70a
date added to LUP
2020-09-09 09:26:13
date last changed
2022-02-01 08:30:43
@inproceedings{1c845b18-4e39-4800-940c-080e463eb70a,
  abstract     = {{<p>This paper addresses the influence of deteriorating brittle Daniels system characteristics on the value of structural health monitoring (SHM). The value of SHM is quantified as the difference between the life cycle benefits with and without SHM. A value of SHM analysis is performed within the framework of the Bayesian preposterior decision theory and requires (1) structural performance modelling and prediction, (2) structural integrity management models, (3) the (pre-posterior) modelling of SHM and (4) the coupling of SHM and the structural performance models. The pre-posterior decision theoretical framework facilitates that the value of SHM can be quantified before the SHM system is quantified and before data are acquired. The results of this study support decisions to select structural systems for which the SHM strategy load monitoring is optimal.</p>}},
  author       = {{Thöns, Sebastian and Schneider, Ronald}},
  booktitle    = {{8th European Workshop on Structural Health Monitoring, EWSHM 2016}},
  isbn         = {{9781510827936}},
  keywords     = {{Daniels systems; Deterioration; Structural performance; Value of information}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{638--646}},
  publisher    = {{NDT.net}},
  series       = {{8th European Workshop on Structural Health Monitoring, EWSHM 2016}},
  title        = {{The influence of brittle daniels system characteristics on the value of load monitoring information}},
  volume       = {{1}},
  year         = {{2016}},
}