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Value of Seismic Structural Health Monitoring Information for Management of Civil Structures Under Different Prior Knowledge Scenarios

Giordano, Pier Francesco (författare)
Polytechnic University of Milan
Iannacone, Leandro (författare)
University College London
Limongelli, Maria Pina (författare)
Lund University,Lunds universitet,Avdelningen för Konstruktionsteknik,Institutionen för bygg- och miljöteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Structural Engineering,Department of Building and Environmental Technology,Departments at LTH,Faculty of Engineering, LTH,Polytechnic University of Milan
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Limongelli, Maria Pina (redaktör/utgivare)
Giordano, Pier Francesco (redaktör/utgivare)
Gentile, Carmelo (redaktör/utgivare)
Quqa, Said (redaktör/utgivare)
Cigada, Alfredo (redaktör/utgivare)
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 (creator_code:org_t)
2023
2023
Engelska 10 s.
Ingår i: Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2. - 2366-2565 .- 2366-2557. - 9783031391163 ; 433 LNCE, s. 11-20
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • Seismic Structural Health Monitoring (S2HM) provides information about the integrity of civil structures and infrastructure in the aftermath of an earthquake. However, quantifying the benefits of S2HM information is crucial to justify the investment in S2HM systems. The benefit of S2HM can be computed through the Value of Information (VoI) from Bayesian decision theory, which compares the expected costs of alternative actions with prior information (without S2HM information) and with S2HM information (before it is available). This paper aims to analyze the VoI from S2HM in civil structures and infrastructure, considering different prior information scenarios regarding seismic action. The theoretical framework of the VoI is adapted to address three prior knowledge scenarios: (i) full information about the earthquake is available (ii) the intensity measure of the seismic motion is obtained using ground motion models, and (iii) no information is available. A numerical case study of a structure in a seismic area is presented, and the effect of different prior information scenarios on the VoI is discussed. The results show that VoI is higher when the prior information is low, indicating that monitoring systems are more valuable when uncertainty about seismic actions is high.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Infrastrukturteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Infrastructure Engineering (hsv//eng)

Nyckelord

Bayesian decision analysis
Civil Structures and Infrastructures
Decision making
Earthquakes
Structural Health Monitoring
Value of Information

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