Document Type : Original Article
Authors
1
Assistant Lecturer and PhD Candidate, Civil Engineering Dept., Faculty of Engineering, South Valley Univ., Qena, Egypt, PhD Researcher Visitor in Concordia Univ., Montréal, Québec, Canada.
2
Professor, Concordia Institute for Information Systems Engineering, Concordia Univ., Montréal, Québec, Canada.
3
Professor, Civil Engineering Dept., Faculty of Engineering, Al Azhar University, Cairo, Egypt.
4
Assistant Professor, Civil Engineering Dept., Faculty of Engineering, Assiut Univ., Assiut, Egypt.
5
Assistant Professor, Civil Engineering Dept., Faculty of Engineering, South Valley Univ., Qena, Egypt.
Abstract
New developed technique is enhanced to recover 3D BIM (Three Dimensions Building Information Models) objects from 3D range surveying data by IR (Infra Red) camera or Laser Scanner for object defects observation. Defects detection and its characteristics have long played major role for condition and risk assessment of buildings. Defects photography by 3D range sensors from an external exposure station, if done mathematically, is useful for interpreting the photos taken by the sensors mounted at anywhere and pointed towards any parts of the building. In this paper an approach was developed to transform and 3D modeling of the buildings defects using multiple types of data and sensors. The advantage of this technique is the flexibility it provides to handle complex defects where a single technique is insufficient. The proposed approach is validated through Jacques Cartier Bridge case study were implemented on the design and inspection data and modeling the building defects by simplification the method of information visualization. Standing on the method, the Defect Information Model (DIM) is in its real shape, which decreases the difficulty and saves the time of modeling the irregular shapes of the defects.
Keywords
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