Visual inspection and bridge management

Quirk, Lucy; Matos, José C.; Murphy, Jerry D.; Pakrashi, Vikram

doi:10.1080/15732479.2017.1352000

Cited by 44 publications

(15 citation statements)

References 39 publications

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“…According to the correlation characteristics of different environmental loads and structural responses, Bayesian regularization technology is used in this study to optimize the weights of coupled environmental load fields. On the basis of this method, combined with BIM technology, the performance tracking and real-time safety warning of each component of the full bridge are carried out [41][42][43][44][45][46][47][48][49][50].…”

Section: Natural Hazard Risksmentioning

confidence: 99%

Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions

Kaewunruen

Sresakoolchai

et al. 2021

Sustainability

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Over the past centuries, millions of bridge infrastructures have been constructed globally. Many of those bridges are ageing and exhibit significant potential risks. Frequent risk-based inspection and maintenance management of highway bridges is particularly essential for public safety. At present, most bridges rely on manual inspection methods for management. The efficiency is extremely low, causing the risk of bridge deterioration and defects to increase day by day, reducing the load-bearing capacity of bridges, and restricting the normal and safe use of them. At present, the applications of digital twins in the construction industry have gained significant momentum and the industry has gradually entered the information age. In order to obtain and share relevant information, engineers and decision makers have adopted digital twins over the entire life cycle of a project, but their applications are still limited to data sharing and visualization. This study has further demonstrated the unprecedented applications of digital twins to sustainability and vulnerability assessments, which can enable the next generation risk-based inspection and maintenance framework. This study adopts the data obtained from a constructor of Zhongcheng Village Bridge in Zhejiang Province, China as a case study. The applications of digital twins to bridge model establishment, information collection and sharing, data processing, inspection and maintenance planning have been highlighted. Then, the integration of “digital twins (or Building Information Modelling, BIM) + bridge risk inspection model” has been established, which will become a more effective information platform for all stakeholders to mitigate risks and uncertainties of exposure to extreme weather conditions over the entire life cycle.

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Section: Natural Hazard Risksmentioning

confidence: 99%

Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions

Kaewunruen

Sresakoolchai

et al. 2021

Sustainability

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“…Several BMSs, like BRIME in Europe or PONTIS and BRIDGIT in the United States, were thus developed in past decades based on data mainly collected during visual surveys and adopting mathematical and statistical forecasting models for maintenance planning (Austroads, 2002). Several researchers (e.g., Catbas and Aktan, 2002;Mishalani and Madanat, 2002;Suksuwan and Hadikusumo, 2010;Adey and Hajdin, 2011;Aflatooni et al, 2013;Fernando et al, 2013;Nasrollahi and Washer, 2015;Denysiuk et al, 2016;Zanini et al, 2016aZanini et al, , 2017aQuirk et al, 2017) proposed frameworks for the optimal maintenance planning on the basis of visual-inspection data, mainly considering environmental deterioration, and in some cases also consequences of natural hazards (e.g., Valenzuela et al, 2010;Fernando et al, 2015). Critical issues of condition rating-based BMSs are represented by the subjectivity in the judgments provided by the inspectors, non-linear relationships in damage progression over time, unbalanced availability of records, missing data.…”

Section: Operational Technical Performance Indicatorsmentioning

confidence: 99%

State-Of-Research on Performance Indicators for Bridge Quality Control and Management

Zanini

Faleschini

Casas

2019

Front. Built Environ.

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The present study provides a review of the most diffused technical and non-technical performance indicators adopted worldwide by infrastructure owners. This work, developed within the European COST Action TU 1406-"Quality specifications for roadway bridges, standardization at a European level," aims to summarize the state-of-art maintenance scheduling practices adopted by bridge owners, mainly focusing on the identification and classification of the most diffused performance indicators (PIs). PIs are subdivided in technical and non-technical ones: for this latter subclass, PIs are classified in environmental, social and economic-targeted. The study aims to be a reference for researchers dealing with performance-based assessments and bridge maintenance and management practices.

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“…During this period, bridge management is fundamental to maintain a satisfactory performance of the structure. To achieve this goal, information regarding the state of the bridges is essential when making decisions that involve the maintenance of the structure [1]. Masonry arch bridges (MAB) represent a large part of the European network (railway and roadway), hence by identifying the safety level of the bridge, suitable maintenance strategies can be applied [2].…”

Section: Introductionmentioning

confidence: 99%

Reliability-Based Assessment of a Masonry Arch Bridge Under Flood Events

Cabanzo¹,

Ariza²,

Sousa³

et al. 2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Natural disasters are unavoidable and can cause serious damage to bridges, which may lead to catastrophic losses both human and economic. In the US more than 45% of bridge collapses are caused by flood events in which more than one-third are caused by scouring effects. In 2015, part of the Tadcaster bridge, a masonry arch bridge in North Yorkshire UK, collapsed during a flooding event. This tragedy was followed by another one in 2019 when a masonry bridge collapsed in the same county. Therefore, the assessment of bridges susceptible to these events is of paramount importance as to identify possible mitigation needs. The objective of the present paper is to present a consistent framework to obtain the reliability index of a masonry arch bridge (MAB), under flood hazard that is subject to local scour, using surrogate models to reduce the computational effort of the probabilistic analysis. The proposed framework is tested on a MAB located in Portugal. A two-dimensional numerical model is constructed where the random variables that affect the structural capacity and the scour geometry were considered. The results show the failure mechanism of the MAB when subjected to scour-induced settlements, therefore allowing to identify the vulnerable zones along the arch's length. The presented methodology can be used to assess the bridge performance under a flood event, thus providing useful information for bridge management and monitoring. Moreover, it can be further developed to include fragility analysis and vulnerability assessment.

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Visual inspection and bridge management

Cited by 44 publications

References 39 publications

Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions

Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions

State-Of-Research on Performance Indicators for Bridge Quality Control and Management

Reliability-Based Assessment of a Masonry Arch Bridge Under Flood Events

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