Bridge Management

Yanev, Bojidar

doi:10.1002/9780470168059

Cited by 36 publications

(9 citation statements)

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“…The modern BMS considers the quality of service (functional efficiency) in addition to structural efficiency. Yanev (2007) 9 stated that "the functional life of bridges is less than the structural life," e.g., 25 to 50 years (in high traffic growth), compared to 50 to 100 years (except disasters).…”

Section: Phase One: Project Rankingmentioning

confidence: 99%

A New Approach to Bridge Infrastructure Management

Rashidi

Ho²

2014

Proceedings of the International Symposium for Next Generation Infrastructure

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The maintenance of bridges as a key element in transportation infrastructure has become a major concern due to increasing traffic volumes, deterioration of existing bridges and well-publicised bridge failures. The main goal of this study is to develop a requirement-driven decision support methodology for remediation of concrete bridges within acceptable limits of safety, serviceability and sustainability. The proposed model includes two phases: Phase one is focused on condition assessment and priority ranking of bridge projects which makes use of an integrated priority index addressing a variety of factors. Phase two includes a multi criteria decision making technique which is able to select the best remediation strategy at both project and network level. The modified Simple Multi Attribute Rating Technique (SMART) is used as a decision analysis tool that employs the eigenvector approach of the Analytical Hierarchy Process (AHP) for criteria weighting.

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Section: Phase One: Project Rankingmentioning

confidence: 99%

A New Approach to Bridge Infrastructure Management

Rashidi

Ho²

2014

Proceedings of the International Symposium for Next Generation Infrastructure

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“…These reviews include analysis of fiber-optic technologies (Casas and Cruz 2003;Bao and Chen 2011); vibration based monitoring (Brownjohn et al 2011); and wireless sensor networks for SHM deployments Stajano et al 2010). Various authors have reviewed the use and adequacy of the range of available sensors and measuring devices for use on civil infrastructure (e.g., Dunnicliff 1988;Rens et al 1997;Ko and Ni 2005;Yanev 2007;Vaghefi et al 2012;Wijesinghe et al 2013).…”

Section: Existing Data Acquisition and Deployment Technologymentioning

confidence: 99%

Categories of SHM Deployments: Technologies and Capabilities

2015

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The findings of an extensive literature survey focusing on bridge structural health monitoring (SHM) deployments are presented. Conventional, maturing, and emerging technologies are reviewed as well as deployment considerations for new SHM endeavors. The lack of published calibration studies (and quantification of uncertainty studies) for new sensors is highlighted as a major concern and area for future research. There are currently very few examples of SHM systems that have clearly provided significant value to the owners of monitored structures. The results of the literature survey are used to propose a categorization system to better assess the potential outcomes of bridge SHM deployments. It is shown that SHM studies can be categorized as one (or a combination) of the following: (1) anomaly detection, (2) sensor deployment studies, (3) model validation, (4) threshold check, and (5) damage detection. The new framework aids engineers specifying monitoring systems to determine what should be measured and why, hence allowing them to better evaluate what value may be delivered to the relevant stakeholders for the monitoring investments.

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“…Such data include environmental conditions, such as temperature and humidity, as well as physical quantities directly related to structural characteristics, such as vibration, strain and displacement characteristics. These data are then used for estimating the present health status and future deterioration (damage) of the bridge [2][3][4][5][6][7][8]. Lifetime engineering based on monitoring data obtained from bridge structures is becoming one of the most important issues worldwide [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…These data are then used for estimating the present health status and future deterioration (damage) of the bridge [2][3][4][5][6][7][8]. Lifetime engineering based on monitoring data obtained from bridge structures is becoming one of the most important issues worldwide [2,3]. Also, it is important to detect damage from a large amount of monitoring data.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of a bridge condition assessment method based on state representation methodology (SRM) and damage detection sensitivity

Yabe

Miyamoto

Brühwiler

2019

J Civil Struct Health Monit

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The State Representation Methodology (SRM) combined with the Frequency Slice Wavelet Transform (FSWT), which is a new time-frequency analysis tool, is proposed for assessing the condition of bridges on the basis of bridge monitoring data. First, this paper presents an overall description of the SRM method via FSWT analysis. It then shows, through numerical simulations, some novel characteristics and advantages of FSWT analysis in contrast to the conventional wavelet approach and the feature extraction accuracy of SRM analysis for the detection of bridge damage on the basis of monitoring data. The principal results obtained through this study can be summarized as follows: (1) details of a newly proposed SRM and its application to bridge condition assessment based on bridge monitoring data are introduced. The proposed SRM combined with the FSWT is validated as a novel time-frequency analysis tool for assessing bridge condition on the basis of bridge monitoring data. (2) New properties of FSWT analysis are demonstrated, and advantages in contrast to the traditional wavelet method are highlighted. Feature extraction in SRM analysis is precise for damage detection in a bridge system on the basis of monitoring data and using numerical simulations.

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Bridge Management

Cited by 36 publications

References 0 publications

A New Approach to Bridge Infrastructure Management

A New Approach to Bridge Infrastructure Management

Categories of SHM Deployments: Technologies and Capabilities

Characteristics of a bridge condition assessment method based on state representation methodology (SRM) and damage detection sensitivity

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