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A Predictive Model for Reducing Cost and Time for the Detection of Clashes in Residential and Commercial Constructions Projects.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Predictive Model for Reducing Cost and Time for the Detection of Clashes in Residential and Commercial Constructions Projects./
作者:	Tonimoghadam, Fatemeh.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	141 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Contained By:	Dissertations Abstracts International82-06B.
標題:	Architectural engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28257727
ISBN:	9798698575092

A Predictive Model for Reducing Cost and Time for the Detection of Clashes in Residential and Commercial Constructions Projects.
Tonimoghadam, Fatemeh.

A Predictive Model for Reducing Cost and Time for the Detection of Clashes in Residential and Commercial Constructions Projects. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 141 p.

Source: Dissertations Abstracts International, Volume: 82-06, Section: B.

Thesis (D.Engr.)--The George Washington University, 2021.

This item is not available from ProQuest Dissertations & Theses.

A predictive model for reducing cost time for the detection of clashes in residential and commercial constructions projects This praxis introduces a predictive model that optimizes the clash detection process by applying a machine learning technique to reduce the cost and time for the detection of clashes in building projects. The success of projects and quality of decisions depends on efficient coordination among different professional teams during the design phase of a construction project and on discovering the clashes at an early stage. This clash detection process will be based on the Building Information Model (BIM) implemented in 3D design review software, such as Navisworks, to make the detection and disposition of clashes more efficient. Detection and analysis of many types of clashes in predictive models will help BIM managers find the relevant clashes automatically and more accurately without spending time detecting them manually. Detected clashes from previous and current projects are used as input data to the machine learning models to detect clashes in data from new projects.

ISBN: 9798698575092Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

BIM

A Predictive Model for Reducing Cost and Time for the Detection of Clashes in Residential and Commercial Constructions Projects.
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300 $a 141 p.
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506 $a This item is not available from ProQuest Dissertations & Theses.
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520 $a A predictive model for reducing cost time for the detection of clashes in residential and commercial constructions projects This praxis introduces a predictive model that optimizes the clash detection process by applying a machine learning technique to reduce the cost and time for the detection of clashes in building projects. The success of projects and quality of decisions depends on efficient coordination among different professional teams during the design phase of a construction project and on discovering the clashes at an early stage. This clash detection process will be based on the Building Information Model (BIM) implemented in 3D design review software, such as Navisworks, to make the detection and disposition of clashes more efficient. Detection and analysis of many types of clashes in predictive models will help BIM managers find the relevant clashes automatically and more accurately without spending time detecting them manually. Detected clashes from previous and current projects are used as input data to the machine learning models to detect clashes in data from new projects.
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