Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Omenzetter, Piotr; Yazgan, Ufuk; Soyöz, Serdar; Limongelli, Maria Pina

doi:10.5592/co/bshm2017.4.5

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…For example, Vardanega et al [72] presented an SHM value assessment methodology that discusses the roles of different stakeholders in delivering value, and the proposed value assessment matrix facilitates efficient and effective communication among stakeholders. Omenzetter et al [73] proposed a framework for quantifying the value of the information generated by an SHM system, including decision trees and risk models, which promote the valuation of the soft benefits of SHM systems and the accuracy and objectivity of the assessment. Nepomuceno et al [74] introduced a methodology for assessing the value of an SHM system prior to its deployment.…”

Section: Pre-assessmentmentioning

confidence: 99%

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Wang,

2024

Buildings

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Structural health monitoring (SHM) of civil infrastructure is significant for sustainable development. This review aims to identify the factors influencing sustainable civil infrastructure SHM implementation and analyze the properties, paths, and conditions under which they have an impact. The method adopted is a coding study based on Grounded Theory. First, the SHM implementation process in the literature is categorized through open coding to obtain an implementation framework that contains phase and activity levels. Second, based on this framework, a synthesis is conducted to categorize the influencing factors in dimensions of contents and properties through open coding and axial coding. Finally, selective coding is used to extract the factors that interacted across activities to propose a scheme of influencing factor relationships. The main findings of the synthesis are shown as follows: (1) sensor work scheduling and data transmission are promising endeavors to balance economic and environmental sustainability, while social sustainability is mainly in terms of safety and user experience; (2) the success of sustainable civil infrastructure SHM requires a collaborative technical and organizational effort; (3) since the influencing factors at different phases may interact with each other, the implementation process should emphasize forward-looking and holistic thinking.

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Section: Pre-assessmentmentioning

confidence: 99%

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Wang,

2024

Buildings

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“…In addition to the consideration of the natural deterioration of the structure due to corrosion, fatigue, scour, et cetera, it may also be relevant to consider the seismic risk. According to Omenzetter et al, after the occurrence of a mainshock earthquake, the affected area is normally exposed to a number of aftershocks during the following period, which can last for months. A structure that has been weakened and damaged as a result of a powerful mainshock is then more vulnerable to the following increased level of seismic activity and even to the normal operating conditions of the bridge (e.g., traffic).…”

Section: Case Studymentioning

confidence: 99%

An approach to decision‐making analysis for implementation of structural health monitoring in bridges

Neves

Leander

González

et al. 2019

Struct Control Health Monit

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Adverse situations such as prolonged downtime of a structure, unnecessary inspections, expensive allocation of personal and equipment, deficient structural performance, or failure can be avoided by using structural health monitoring (SHM). Enhanced structural safety is the leading reason for its implementation, but one of the remaining obstacles to fully implement SHM systems deals with justifying their economic benefit. At any point in time, the preference towards one particular action depends on factors such as the probability of the triggered events and their consequences. All the possible decisions and relevant information can be illustrated by decision tree models, and the optimal decision corresponds to the one with the highest utility. Applying the Bayesian Theorem, the assumed prior probabilities of the structural state are updated in the light of new information provided by a system and the optimal decision is revised. This paper proposes a dynamic decisionmaking framework to manage civil engineering structures, where the ultimate goal is to achieve greater overall economy without jeopardizing safety. This paper covers a case study of a bridge where the optimal SHM and maintenance decisions are determined in the context of different scenarios in which the event probabilities and associated costs are made-up.

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“…7 Aside from public safety, researchers have demonstrated that SHM of civil structures has the potential to increase the life span of structures, lowers construction costs, enables early detection of risk, and improves the overall performance of the structure. 8,9 Previous research efforts have investigated soft elastomeric capacitors for fatigue crack monitoring of steel. Soft elastomeric capacitors (SEC) have been used to monitor loads and fatigue cracks using the sensor's wireless network; the SECs are placed at strategic points on the bridge steel frame to monitor loading resulting from traffic.…”

Section: Introductionmentioning

confidence: 99%

Soft elastomeric capacitors with an extended polymer matrix for strain sensing on concrete

Ogunniyi

Liu

Downey

et al. 2023

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023

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Surface strain sensors, such as linear variable differential transformers, fiber Bragg gratings, and resistive strain gauges, have seen significant use for monitoring concrete infrastructure. However, spatial monitoring of concrete structures using these sensor systems is limited by challenges in the surface coverage provided by a specific sensor or issues related to mounting and maintaining numerous mechanical sensors on the structure. A potential solution to this challenge is the deployment of large-area electronics in the form of a sensing skin to provide complete coverage of a monitored area while being simple to apply and maintain. Along this line of effort, networks constituted of soft elastomeric capacitors have been deployed to monitor strain on steel and composite structures. However, using soft elastomeric capacitors on concrete surfaces has been challenging due to the electrical coupling between the sensors and concrete, which amplifies transduced strain signals obtained from the soft elastomeric capacitors. In this work, the authors investigate the isolation of the soft elastomeric capacitors from the concrete by extending the styrene-block-ethylene-co-butylene-block-styrene matrix of the soft elastomeric capacitors to include a decoupling layer between the electrode and the concrete. Experimental investigations are carried out on concrete specimens for which the soft elastomeric capacitor is adhered to with a thin layer of off-the-shelf epoxy and then loaded on the dynamic testing system to monitor strain provoked on the concrete samples. The results presented here demonstrate the viability of the electrically isolated soft elastomeric capacitors for monitoring strain on concrete structures. Initial comparisons between un-isolated and electrically isolated soft elastomeric capacitors showed that the nominal capacitance of the soft elastomeric capacitor is significantly lowered by adding an isolation layer of SEBS. Furthermore, strain results for the soft elastomeric capacitors are compared to ones from a resistive strain gauge and digital image correlation. The data obtained is significant for modifying soft elastomeric capacitors with the anticipation for future use on concrete structures.

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Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Cited by 4 publications

References 16 publications

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

An approach to decision‐making analysis for implementation of structural health monitoring in bridges

Soft elastomeric capacitors with an extended polymer matrix for strain sensing on concrete

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