Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing

A Master of Science thesis in Civil Engineering by Asem Ahmad Zabin entitled, "Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing," submitted in May 2015. Thesis advisor is Dr. Tarig Ali. Soft and hard copy available.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Zabin, Asem Ahmad (author)
التنسيق: doctoralThesis
منشور في: 2015
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/7973
الوسوم: إضافة وسم
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author Zabin, Asem Ahmad
author_facet Zabin, Asem Ahmad
author_role author
dc.contributor.none.fl_str_mv Ali, Tarig
dc.creator.none.fl_str_mv Zabin, Asem Ahmad
dc.date.none.fl_str_mv 2015-10-06T05:03:03Z
2015-10-06T05:03:03Z
2015-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2015.40
http://hdl.handle.net/11073/7973
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv As-Built BIM
Building Materials
Thermal imaging
Thermography
Texture Extraction
BIM Building Information Models
Building information modeling
Infrared imaging
dc.title.none.fl_str_mv Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Civil Engineering by Asem Ahmad Zabin entitled, "Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing," submitted in May 2015. Thesis advisor is Dr. Tarig Ali. Soft and hard copy available.
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/7973
publishDate 2015
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spelling Integration of Textural and Material Information into BIM Using Spectrometry and Infrared SensingZabin, Asem AhmadAs-Built BIMBuilding MaterialsThermal imagingThermographyTexture ExtractionBIM Building Information ModelsBuilding information modelingInfrared imagingA Master of Science thesis in Civil Engineering by Asem Ahmad Zabin entitled, "Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing," submitted in May 2015. Thesis advisor is Dr. Tarig Ali. Soft and hard copy available.As-built data and drawings are essential documents that contain object dimensions, locations, materials, and other important information used by different parties during the processes of the building design, construction, and operation in order to perform commissioning or energy analysis, and preventive and corrective maintenance. These documents go through many changes and updates throughout the construction phase and after the handover, and this process is currently tracked manually which is time consuming. In the Architecture, Engineering, and Construction (AEC) industry, Building Information Modeling is increasingly used throughout a facility's life cycle for various applications, such as planning, conceptual design, detailing, fabrication, renovations, space usage planning, and managing building maintenance. For existing buildings, as-built Building Information Models (BIMs) are often constructed using dense, three dimensional (3D) point clouds data obtained from laser scanners. Laser scanners can quickly detect and capture the "as-is" conditions of a structure, and then the points get processed to obtain the 3D geometric model. Traditionally, as-built BIMs do not have material and textural information of the buildings integrated into them. This thesis presents a methodology for generation of textural and material rich as-built BIM Models. The proposed method used thermal infrared sensing to capture thermal images of the interior walls of an existing building. These images were then processed and only walls' features were extracted using a segmentation algorithm. The digital numbers of resulted images were then transformed into radiance values that represent the emitted thermal infrared radiation recorded at each pixel of the interior walls images. These radiance values were used to extract textural information from the images. Statistical correlations between these values and models of interior gypsum and concrete were obtained through a Monte Carlo simulation approach and further used to extract material information from the images. The extracted texture and material information were then integrated in the BIM Model, providing the data needed for the assessment of building conditions in relation to energy efficiency and water and waste water systems leaks.College of EngineeringDepartment of Civil EngineeringMaster of Science in Civil Engineering (MSCE)Ali, Tarig2015-10-06T05:03:03Z2015-10-06T05:03:03Z2015-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2015.40http://hdl.handle.net/11073/7973en_USoai:repository.aus.edu:11073/79732025-06-26T12:15:51Z
spellingShingle Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
Zabin, Asem Ahmad
As-Built BIM
Building Materials
Thermal imaging
Thermography
Texture Extraction
BIM Building Information Models
Building information modeling
Infrared imaging
status_str publishedVersion
title Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
title_full Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
title_fullStr Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
title_full_unstemmed Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
title_short Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
title_sort Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
topic As-Built BIM
Building Materials
Thermal imaging
Thermography
Texture Extraction
BIM Building Information Models
Building information modeling
Infrared imaging
url http://hdl.handle.net/11073/7973