Vibration-Based Damage Detection and Seismic Performance Assessment of Bridges

Soyöz, Serdar

doi:10.1193/080612eqs255m

Cited by 25 publications

(21 citation statements)

References 27 publications

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“…Likewise, reliability based methods have become more and more popular in this field [23,24]. Latest examples combine experimental and theoretical methods developing hybrid bridge condition assessment techniques [25]. Therefore, it is indispensable to adopt quantitative and objective methods into the forthcoming bridge deficiency assessment applications.…”

Section: Discussionmentioning

confidence: 99%

Material Structural Deficiencies of Road Bridges in the U.S.

Farhey¹

2018

Infrastructures

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This study analyzes the National Bridge Inventory in the U.S. to determine the relative structural deficiencies of bridge materials, comparing between the overall national values and each state, geographically. The analysis considers the most common bridge construction materials-concrete, steel, and prestressed/post-tensioned concrete. The results suggest need to reassess the efficacy of best performance practices for steel bridges and for states with structural deficiencies above the national average. Geographic consistency of structurally deficient bridge density with population density shows need to improve intervention strategies for regions with higher levels of service usage. The study also compares the relative operational lifespan of bridge materials in each state. The average structurally deficient bridge ages are lower than the 75-year life-cycle expectancy. Prestressed/post-tensioned concrete bridges reveal relatively lower lifespan. Over time, concrete and steel bridges show some gradual improvement with decreasing percentage of structural deficiency and increasing lifespan. Prestressed/post-tensioned concrete bridges reveal shifting earlier accumulation of structural deficiency for a particular age group. The study also reveals relative climate effects. Climate conditions correlate differently with the structural deficiency and life cycle of bridge materials in each state. Structurally deficient bridge densities show correlation with climate maps, especially under colder and moist conditions.

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Section: Discussionmentioning

confidence: 99%

Material Structural Deficiencies of Road Bridges in the U.S.

Farhey¹

2018

Infrastructures

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“…This can be performed by utilizing the modal identification results, calibrating mathematical models, and obtaining the probabilistic failure distribution under a wide range of strong ground motions. Eventually, using identification results as model calibration tools, civil infrastructures' seismic response and structural reliability can be estimated [46,47] to provide the decision makers with the necessary information.…”

Section: Introductionmentioning

confidence: 99%

Structural Reliability Estimation with Participatory Sensing and Mobile Cyber-Physical Structural Health Monitoring Systems

Feng

2019

Applied Sciences

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With the help of community participants, smartphones can become useful wireless sensor network (WSN) components, form a self-governing structural health monitoring (SHM) system, and merge structural mechanics with participatory sensing and server computing. This paper presents a methodology and framework of such a cyber-physical system (CPS) that generates a bridge finite element model (FEM) integrated with vibration measurements from smartphone WSNs and centralized/distributed computational facilities, then assesses structural reliability based on updated FEMs. Structural vibration data obtained from smartphones are processed on a server to identify modal frequencies of an existing bridge. Without design drawings and supportive documentation but field measurements and observations, FEM of the bridge is drafted with uncertainties in the structural mass, stiffness, and boundary conditions (BCs). Then, 2700 FEMs are autonomously generated, and the baseline FEM is updated by minimizing the error between the crowdsourcing-based modal identification results and the FEM analysis. Furthermore, using 151 strong ground motion records from databases, the bridge response time history simulations are conducted to obtain displacement demand distribution. Finally, based on reference performance criteria, structural reliability of the bridge is estimated. Integrating the cyber (FEM analysis) and the physical (the bridge structure and measured vibration characteristics) worlds, this crowdsourcing-based CPS can provide a powerful tool for supporting rapid, remote, autonomous, and objective infrastructure-related decision-making. This study presents a new example of the emerging fourth industrial revolution from structural engineering and SHM perspective.

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“…4.5-9 A damage detection/classification and future reliability prediction solution that uses acceleration measurements combined with structural model updating and nonlinear time history analysis to establish the probabilities of correct and incorrect classification of structural state based on the indication from the SHM system is proposed here by extending the earlier work of Soyoz and his collaborators (Soyoz et al, 2010, Kaynardag & Soyoz, 2015Özer & Soyoz, 2015). The approach adopted comprises the following steps:…”

Section: 5-7mentioning

confidence: 99%

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

Omenzetter¹,

Yazgan²,

Soyöz³

et al. 2017

Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the Reli

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Abstract. This paper proposes a framework for quantifying the value of information that can be derived from a structural health monitoring (SHM) system installed on a bridge which may sustain damage in the mainshock of an earthquake and further damage in an aftershock. The pre-posterior Bayesian analysis and the decision tree are the two main tools employed. The evolution of the damage state of the bridge with an SHM system is cast as a time-dependent, stochastic, discrete-state, observable dynamical system. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage traffic and usage of a possibly damaged structure using the information from SHM. The objective function is the expected total cost or risk. The paper then discusses how to quantify bridge damage probability through stochastic seismic hazard and fragility analysis, how to update these probabilities using SHM technologies, and how to quantify bridge failure consequences.

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Vibration-Based Damage Detection and Seismic Performance Assessment of Bridges

Cited by 25 publications

References 27 publications

Material Structural Deficiencies of Road Bridges in the U.S.

Material Structural Deficiencies of Road Bridges in the U.S.

Structural Reliability Estimation with Participatory Sensing and Mobile Cyber-Physical Structural Health Monitoring Systems

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

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