Development of new system for detection of bridges construction defects using terrestrial laser remote sensing technology

Sedek, M.; Serwa, A.

doi:10.1016/j.ejrs.2015.12.005

Cited by 18 publications

(13 citation statements)

References 22 publications

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“…structures are subjected to deformations as result of natural causes. This motivates necessity for a reliable solution system for identifying errors of routine construction [16,5,17]. There are numerous methods for determining the errors and deformations.…”

Section: Engineeringmentioning

confidence: 99%

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Semi-Automatic Approach for Forming and Processing Laser Sensing Data of Urban Truss

Sedek

Serwa

2021

SVU-International Journal of Engineering Sciences and Applicati

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There is imprecision in the stage of construction because of manual quality control in the construction procedures. Forming and processing point clouds image of as is truss part with its CAD data are researched to identify and repair the geometric discrepancies and imprecision. Approved suggested technique of processing building model was done.Instead of manual processing of the 3D models points. BPNN architecture give the best coordinates processing training. It is applied to optimize the points forming process between the input laser scanned coordinates of the as-built model with the output true CAD coordinates. RMSE in x, y, xy, z and space vector R of all processing tasks are computed acceptably.

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Section: Engineeringmentioning

confidence: 99%

“…Researchers existing methods and algorithms can realize automated model identification [12][13]. Terrestrial data collections can be subjective and time consuming [14].…”

Section: Introduction and Reviewmentioning

confidence: 99%

Semi-Automatic Approach for Forming and Processing Laser Sensing Data of Urban Truss

Sedek

Serwa

2021

SVU-International Journal of Engineering Sciences and Applicati

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“…The conclusion was fire was a major cause. Sedeka and Serwab (2016) looked at a new system for detecting defects in bridges. Forcada, Macarulla, Gangolells, and Casals (2014) assessed construction defects in residential buildings in Spain.…”

Section: Introductionmentioning

confidence: 99%

Liability of the Entity Capable of Detecting a Defect of Construction Works: A Comparative Study of the U.S. And the Republic of Lithuania

Mitkus

White

2018

Business, Management and Education

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The his research looks specifically into the potential legal liability of the entity capable of detecting construction defects: contractor, nonprofessional owner, professional owner, technical supervisor, designer and building inspector. In this study, the responsibility of each entity for construction defects is discussed and the corresponding documentation and statutory and case law are analyzed for the U.S., Lithuania, and some other countries for comparative purposes.

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“…Most researches using laser scanners in structural assessment has focused on measuring structural deformation, estimating material loss, or finding surface defects, which can be employed in structural engineering such as complete drawings for an as-built structure or to assess the current dimensions of the as-built structure with its design [Abdelhafiz et al 2009]. [Sedek et al 2015] represented an automated advance to register laser remote sensing data of as-built model, with bridge information model for constructed bridge. The model is concluded to be accurate to monitor the construction processes.…”

Section: Introductionmentioning

confidence: 99%

Detection and Evaluation of Surface Defects in Bridges by Terrestrial Laser Scanning

2018

Aust. J. Basic & Appl. Sci.

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There are some factors that may cause bridge damages such as the heavy traffic and aggressive environmental conditions. It's important to assess the current status of the bridge to decide on the future steps for rehabilitation. This is due to their impact on landscape where they are built to satisfy the public safety in bridge structural capacity. Despite, the actual bridge techniques demands hard works and lots of subjective visual analysis to decide the state of the bridge. Light Detection and Ranging (LiDAR), also named as Terrestrial Laser Scanning (TLS) is a remote sensing technique that could assist to minimize the variability of results and cover bigger areas, allowing for accurate determination of defects and precise allocation of appropriate funding. The main aim of this research is to develop an easy system to register laser remote sensing data of as-built model, with BrIM (Bridge Information Model) for constructed bridge and compare between them to detect the geometric discrepancies and defects. Mohamed Fawzy Bridge (which is located in Maadi Ring Road, Cairo, Egypt) has been selected as the scenery of this experimental investigation to approve this technique, focused on monitoring structural damages. The scanned data is used to evaluate the status of the selected bridge, its surface defects, vertical clearance, cracks length and width by using the basic software. This data is compared with its corresponding data extracted from the bridge design or drawing. The results of comparison indicate that the used equipment and technique achieved the required tasks with good accuracy.

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Development of new system for detection of bridges construction defects using terrestrial laser remote sensing technology

Cited by 18 publications

References 22 publications

Semi-Automatic Approach for Forming and Processing Laser Sensing Data of Urban Truss

Semi-Automatic Approach for Forming and Processing Laser Sensing Data of Urban Truss

Liability of the Entity Capable of Detecting a Defect of Construction Works: A Comparative Study of the U.S. And the Republic of Lithuania

Detection and Evaluation of Surface Defects in Bridges by Terrestrial Laser Scanning

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