An imaging data model for concrete bridge inspection

Abudayyeh, Osama; Bataineh, Mohammed Al; Abdel‐Qader, Ikhlas

doi:10.1016/j.advengsoft.2004.06.010

Cited by 38 publications

(18 citation statements)

References 2 publications

(2 reference statements)

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“…Adicionalmente, con el fin de poder detectar discontinuidades (fisuras, distintos materiales, etc. ), sobre la Viga 01, se puso en práctica otro modo de diagnóstico de la salud estructural, a través del uso de la termografía (Tashan y Al-Mahaidi, 2014;Kabir, 2010;Abudayyeha et al, 2004). Para que el daño se ponga de manifiesto en una imagen termográfica, es necesario que exista una transferencia de calor en el elemento estudiado, en este caso en la masa del hormigón.…”

Section: Ensayo Sobre Viga 01unclassified

Metodologías para la localización de daño en vigas de hormigón pretensado

Ercolani

Ortega

Felix

2017

Revista de la Asociación Latinoamericana de Control de Calidad,

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RESUMENEn este trabajo se evalúan metodologías para la detección de daño en estructuras de hormigón pretensado. Los métodos estudiados son el de variación de los desplazamientos y el de curvatura de la elástica, complementados con el uso de imágenes termográficas. A tal fin, dichos métodos se aplicaron sobre dos vigas de hormigón pretensado, construidas en laboratorio. Los resultados obtenidos permitieron detectar la presencia de daño y localizarlo con buena precisión. Si bien estos métodos ya se han aplicado sobre estructuras de hormigón armado, no se han encontrado aplicaciones sobre estructuras de hormigón pretensado. Se demostró la efectividad de las metodologías propuestas y se destaca la posibilidad y conveniencia de un uso combinado de las mismas. Palabras clave: hormigón pretensado; detección de fisuras; ensayos estáticos; desplazamientos; elástica. _______________________________________________________________

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Section: Ensayo Sobre Viga 01unclassified

Metodologías para la localización de daño en vigas de hormigón pretensado

Ercolani

Ortega

Felix

2017

Revista de la Asociación Latinoamericana de Control de Calidad,

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“…For example, digital image processing techniques, such as edge detection, morphological operations, etc., have been used to automatically locate the defects on bridge components (Abudayyeh et al 2004). McRobbie et al (2007) noted that the off-site conditions assessment conducted with digital images could reach a high level of accuracy which was even comparable to the on-site one.…”

Section: Recent Research Efforts Towards Automated Bridge Conditions mentioning

confidence: 99%

Automated Bridge Condition Assessment with Hybrid Sensing

Adhikari¹,

Zhu²,

Moselhi³

et al. 2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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It is necessary to assess the physical and functional conditions of highway bridges at regular intervals to ensure they still meet their service requirements. Currently, this condition assessment is mainly performed through visual inspection, which has been identified with several limitations (e.g. the timeconsuming assessment process and heavy reliance on inspectors' personal experience). In order to overcome these limitations and enhance the current inspection practice, this paper presents a novel method for automated bridge condition assessment using a hybrid sensing system. Under the method, existing conditions of bridge components are first captured with a stream of point clouds and color images. Then, the bridge components and the defects inflicted on the components are detected utilizing their visual patterns. The detection results are mapped to the point cloud. This way, the 3D information of the components and defects can be retrieved. The bridge condition assessment can be made effectively through the 3D visualization of this information before carrying out any on-site detailed evaluations.

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“…These technologies do not include emplaced sensors such as strain gauges or temperature sensors and can be defined as a form of stand-off SHM and a form of NDE where the device-gathering data are not in contact with the object [74]. Abudayyeh et al [75] proposed a framework for automated bridge imaging system based on digital image processing. Their models were capable of storing different surface defects in a structured way and generated automated inspection reports.…”

Section: Nde Using Remote Sensing Technologiesmentioning

confidence: 99%

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

Touzani

Nehdi

2018

Infrastructures

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Abstract:One quarter of bridges in Canada and the United States need repair. The present study provides a critical overview of the state-of-the-art existing condition assessment techniques for reinforced concrete bridges, with an emphasis on current practice in North America. The techniques were classified into five categories, including visual inspection, load testing, non-destructive evaluation, structural health monitoring, and finite element modelling. The potential applications of these technologies are discussed and compared, highlighting their primary advantages and limitations. The review revealed that quantitative assessment could be effectively achieved using several complementary technologies. It is shown that there is need for concerted research efforts to achieve automated data collection and interpretation analyses. Also, the configuration of monitoring systems was found to be paramount in effectively assessing bridge performance parameters of interest. The study suggests appropriate investigation methods for some bridge deterioration mechanisms. Knowledge gaps and challenges in this field are outlined in order to motivate further research and development of these technologies.

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An imaging data model for concrete bridge inspection

Cited by 38 publications

References 2 publications

Metodologías para la localización de daño en vigas de hormigón pretensado

Metodologías para la localización de daño en vigas de hormigón pretensado

Automated Bridge Condition Assessment with Hybrid Sensing

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

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