The Influence of Brittle Daniels System Characteristics on the Value of Load Monitoring Information

Sebastian Thöns, Ronald Schneider

Research output: Contribution to conferencePaperResearchpeer-review

254 Downloads (Pure)

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 pre-posterior decision theory and requires (1) structur
al 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.
Original languageEnglish
Publication date2016
Number of pages9
Publication statusPublished - 2016
Event8th European Workshop On Structural Health Monitoring (EWSHM 2016) - Bilbao, Spain
Duration: 5 Jul 20168 Jul 2016
Conference number: 8

Conference

Conference8th European Workshop On Structural Health Monitoring (EWSHM 2016)
Number8
CountrySpain
CityBilbao
Period05/07/201608/07/2016

Keywords

  • Value of information
  • Structural performance
  • Deterioration
  • Daniels systems

Fingerprint Dive into the research topics of 'The Influence of Brittle Daniels System Characteristics on the Value of Load Monitoring Information'. Together they form a unique fingerprint.

Cite this