Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software

Construction processes are stochastic in nature. Therefore, deterministic analysis of construction processes fails to incorporate uncertainty in scheduling models of construction operations. This project focusses on using probabilistic approach to account for the uncertainty and develop models that...

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Main Author: Shah, Vishal Snehal
Other Authors: Tiong Lee Kong, Robert
Format: Final Year Project
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/77712
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-777122023-03-03T17:25:06Z Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software Shah, Vishal Snehal Tiong Lee Kong, Robert School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering Construction processes are stochastic in nature. Therefore, deterministic analysis of construction processes fails to incorporate uncertainty in scheduling models of construction operations. This project focusses on using probabilistic approach to account for the uncertainty and develop models that provide realistic estimates of construction processes. This project will develop a system that uses probabilistic approach for dynamic scheduling of precast element installation. The system will include integration of remote databases and predictive analytics tools, and it will be tested on a real construction operation of precast element installation to provide the best time estimates of processes involved in this operation. The best time estimates will be displayed on a BIM software with the help of a plugin developed on the software. Each BIM software has their own issues in importing IFC files into its platform. No matter how good other software can export IFC, something will be changed or lost once it is brought into another software. This project focusses on IFC exchange behavior between two BIM software namely Revit and Tekla. This project will include interoperability IFC tests that will cover simple elements transfer, multiple elements transfer and their interaction, and finally complex real HDB model. Based on these tests, solutions utilizing current settings available in the BIM software will be proposed to achieve semantic level interoperability. Finally, user guide will be prepared that will compile all the possible workarounds that will help achieve maximum semantic level interoperability for IFC transfers between BIM software. Bachelor of Engineering (Civil) 2019-06-04T05:41:41Z 2019-06-04T05:41:41Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77712 en Nanyang Technological University 116 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering
spellingShingle DRNTU::Engineering::Civil engineering
Shah, Vishal Snehal
Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
description Construction processes are stochastic in nature. Therefore, deterministic analysis of construction processes fails to incorporate uncertainty in scheduling models of construction operations. This project focusses on using probabilistic approach to account for the uncertainty and develop models that provide realistic estimates of construction processes. This project will develop a system that uses probabilistic approach for dynamic scheduling of precast element installation. The system will include integration of remote databases and predictive analytics tools, and it will be tested on a real construction operation of precast element installation to provide the best time estimates of processes involved in this operation. The best time estimates will be displayed on a BIM software with the help of a plugin developed on the software. Each BIM software has their own issues in importing IFC files into its platform. No matter how good other software can export IFC, something will be changed or lost once it is brought into another software. This project focusses on IFC exchange behavior between two BIM software namely Revit and Tekla. This project will include interoperability IFC tests that will cover simple elements transfer, multiple elements transfer and their interaction, and finally complex real HDB model. Based on these tests, solutions utilizing current settings available in the BIM software will be proposed to achieve semantic level interoperability. Finally, user guide will be prepared that will compile all the possible workarounds that will help achieve maximum semantic level interoperability for IFC transfers between BIM software.
author2 Tiong Lee Kong, Robert
author_facet Tiong Lee Kong, Robert
Shah, Vishal Snehal
format Final Year Project
author Shah, Vishal Snehal
author_sort Shah, Vishal Snehal
title Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
title_short Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
title_full Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
title_fullStr Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
title_full_unstemmed Dynamic scheduling of precast element installation by probabilistic approach & IFC exchange behavior study for interoperability in BIM software
title_sort dynamic scheduling of precast element installation by probabilistic approach & ifc exchange behavior study for interoperability in bim software
publishDate 2019
url http://hdl.handle.net/10356/77712
_version_ 1759855710131191808