國立虎尾科技大學 |

Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential./
Author:	Valkonen, Antti Juhani.
Description:	1 online resource (122 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
Subject:	Civil engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9798379718787

Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential.
Valkonen, Antti Juhani.

Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential. - 1 online resource (122 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--Princeton University, 2023.

Includes bibliographical references

Structural Health Monitoring (SHM) is an overarching term for methods and techniques used to gain accurate, in-time information about the condition and performance of civil engineering structures. SHM allows moving from traditional maintenance and inspection approaches into a predictive approach where data and lifecycle modeling is used to optimize operations and maintenance decisions. Even though SHM is an important technology in modern asset management, a proliferation of industrial applications is yet to be seen. One of the reasons for the lack of industrial applications is the uncertainty of the return on investment offered by SHM systems. Currently, there is no systematic methodology to quantify the benefits of SHM system deployment. Widespread utilization of SHM requires development of valuation methods so decision-makers can evaluate potential investments into monitoring systems. This dissertation advances SHM Value of Information (VoI) valuation literature by creating a framework for evaluating the VoI generated by postponing the replacement of bridge decks using SHM. Postponing the replacement of structures will generate savings from avoiding the opportunity cost of having to commit funds for the replacement project prematurely. Evaluating the potential value requires the ability to estimate the Remaining Useful Life (RUL) distribution of structures and the risk preference of the decision-makers, which is tied to the opportunity cost. To Understand the RUL distribution, a Neural Network -based survival model for bridge deck deterioration is created. To understand decision-maker risk preferences a survey tool is created. The main findings of this dissertation are 1) Traditional Proportional Hazards Assumption does not necessarily hold for new or rehabilitated bridges in their early years. 2) Bridge population heterogeneity has a limiting effect on survival model predictive performance 3) implementation of SHM influences decision-maker risk preferences 4) VoI potential based on postponing bridge deck replacement is large.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379718787Subjects--Topical Terms:

561339
Civil engineering.
Subjects--Index Terms:

BridgesIndex Terms--Genre/Form:

554714
Electronic books.

Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential.
LDR:03456ntm a22003857 4500 001 1141734
005 20240414211459.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379718787
035 $a (MiAaPQ)AAI30491809
035 $a AAI30491809
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Valkonen, Antti Juhani. $3 1465688
245 1 0 $a Exploring Structural Health Monitoring Value of Information Based on Remaining Useful Life Extension Potential.
264 0 $c 2023
300 $a 1 online resource (122 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
500 $a Advisor: Glisic, Branko.
502 $a Thesis (Ph.D.)--Princeton University, 2023.
504 $a Includes bibliographical references
520 $a Structural Health Monitoring (SHM) is an overarching term for methods and techniques used to gain accurate, in-time information about the condition and performance of civil engineering structures. SHM allows moving from traditional maintenance and inspection approaches into a predictive approach where data and lifecycle modeling is used to optimize operations and maintenance decisions. Even though SHM is an important technology in modern asset management, a proliferation of industrial applications is yet to be seen. One of the reasons for the lack of industrial applications is the uncertainty of the return on investment offered by SHM systems. Currently, there is no systematic methodology to quantify the benefits of SHM system deployment. Widespread utilization of SHM requires development of valuation methods so decision-makers can evaluate potential investments into monitoring systems. This dissertation advances SHM Value of Information (VoI) valuation literature by creating a framework for evaluating the VoI generated by postponing the replacement of bridge decks using SHM. Postponing the replacement of structures will generate savings from avoiding the opportunity cost of having to commit funds for the replacement project prematurely. Evaluating the potential value requires the ability to estimate the Remaining Useful Life (RUL) distribution of structures and the risk preference of the decision-makers, which is tied to the opportunity cost. To Understand the RUL distribution, a Neural Network -based survival model for bridge deck deterioration is created. To understand decision-maker risk preferences a survey tool is created. The main findings of this dissertation are 1) Traditional Proportional Hazards Assumption does not necessarily hold for new or rehabilitated bridges in their early years. 2) Bridge population heterogeneity has a limiting effect on survival model predictive performance 3) implementation of SHM influences decision-maker risk preferences 4) VoI potential based on postponing bridge deck replacement is large.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Civil engineering. $3 561339
650 4 $a Environmental engineering. $3 557376
653 $a Bridges
653 $a Infrastructure
653 $a Structural Health Monitoring
653 $a Survival analysis
653 $a Value of Information
655 7 $a Electronic books. $2 local $3 554714
690 $a 0543
690 $a 0775
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Princeton University. $b Civil and Environmental Engineering. $3 1179795
773 0 $t Dissertations Abstracts International $g 84-12B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30491809 $z click for full text (PQDT)