FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong | Resources | BIM

FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong

FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong

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Institution	Title	Type	Date	Author(s)	Abstract	Link
HKUST	A BIM-based framework for lift planning in topsides disassembly of offshore oil and gas platforms	Journal	03/2017	Tan, Y., Song, Y., Liu, X., Wang, X., and Cheng, J.C.P.	Offshore oil and gas platforms (OOGPs) usually have a lifetime of 30–40 years. An increasing number of OOGPs across the world will be retired and decommissioned in the coming decade. Therefore, a safe and efficient approach in planning the disassembly of the topsides of OOGPs is required. One commonly applied disassembly method is reverse installation, which moves the OOGP modules from the platform deck to a heavy lift vessel (HLV) in reverse order of their installation. Considering the high risk and cost of working offshore, shortening the lift time is crucial. In contrast to the traditional experience-driven lift operations, this paper describes minimizing the lift path for each OOGP module during disassembly, leveraging building information modeling (BIM) technology and an improved A* algorithm. BIM models provide accurate component-based geometric and semantic information that can be used for planning and optimization. However, there has been no previous study on the use of BIM for offshore disassembly. Industry Foundation Classes (IFC), which is a neutral data model of BIM, is used in this study to represent OOGP models. In particular, the IfcBuildingElementProxy entity is used to represent the OOGP components, and the information in IfcBuildingElementProxy is automatically extracted to obtain the location and dimension information of each OOGP module. Then, for a given layout of modules on the removal vessel, the lift path and removal sequence of different modules, with the shortest lift path distance, are obtained. The lift path distance is calculated using the A* algorithm, which has been widely applied in 2D environments and is modified in this study to suit the 3D environment. Finally, the genetic algorithm (GA) technique is applied to optimize the layout plan on the removal vessel by minimizing the total lift path distance. The developed BIM-based framework is illustrated and evaluated through an illustrative example. The results show that the proposed framework can generate and visualize the shortest lift path for each OOGP module directly and automatically, and significantly improve the efficiency of OOGP disassembly.	Link
HKUST	Identifying potential opportunities of building information modeling for construction and demolition waste management and minimization	Journal	03/2017	Won, J., and Cheng, J.C.P.	The amount of waste generated in construction and demolition (C&D) processes is enormous. Therefore, many studies on efficient C&D waste minimization and management have been conducted. However, 21 process-related and 8 technology-related limitations in C&D waste management and minimization have not yet been resolved. Building information modeling (BIM) helps project participants improve the processes and technologies in the planning, design, construction, and demolition phases, thereby managing and minimizing C&D waste efficiently. Therefore, this paper identifies the potential opportunities of BIM for efficient C&D waste management and minimization, such as design review, 3D coordination, quantity take-off, phase planning, site utilization planning, construction system design, digital fabrication, and 3D control and planning. The BIM-based approaches can support C&D waste management and minimization processes and technologies by addressing existing limitations through in-depth literature review. The roles of project participants and information required for each BIM-based approach in C&D waste management and minimization are discussed with illustrative process maps.	Link
HKU	Relations between Organizational Change and Building Information Modelling Implementation: A Social Network Analysis	Thesis	04/2017	LEUNG Hiu Lam	--	N.A.
HKU	Communication in Construction: A Cost Management Perspective through Bim Case Studies	Thesis	04/2017	LAW Cheuk Fung	--	N.A.
HKUST	Analysis and Evaluation of Indoor Ventilation and Energy Consumption Using Building Information Modeling	FYP	06/2017	TSANG, Wing Sum WONG, Long Yee Mary YIP, Shing	This project used Building Information Modeling (BIM) and BIM compatible software, Computational Fluid Dynamic (CFD), to analyze the indoor environmental quality of current UG Hall VII building in HKUST under mechanical and natural ventilation. The results obtained from the software analysis were used for evaluating the indoor environment with green building standard BEAM Plus EB Ver. 2 Selective Scheme. Indoor environmental quality analysis and energy analysis on different air-conditioner usage scenarios and modified air-conditioning system were also conducted to investigate whether any modifications could give rise to indoor environment that able to reach BEAM Plus standard while reducing energy consumption. We founded that opening one air-conditioner, with temperature set as 24℃, in only one bedroom in a suite could achieve favourable indoor environment while reducing half of the energy usage on cooling. Also, changing the air-conditioning system from window-type air-conditioners to centralized system could also lower energy consumption on cooling while keeping a comfortable indoor environment.	N.A.
HKUST	Construction Lift Planning for Prefabricated Units Based on Building Information Modelng and Optimization Techniques	FYP	06/2017	LEE, Hoi Yin LO, Kwong Ching	In recent years, prefabricated construction has been increasingly employed in building projects, especially in vertical extension of existing building. However, current lift planning mainly relies on experience and instinct of site manager, leading to potentially poor lifting schedule that may incur extra time and costs on lifting operations. This project presents a BIM-based lift planning framework for prefabricated modules in vertical extension project that aims to optimize the lifting schedule of prefabricated modules and provide visualization for actual lifting path of the modules. The framework considers three main models: (1) information extraction and geometry simplification model to obtain the module information and simplify the shape of modules, (2) analysis model to calculate the actual lifting path distance of each prefabricated module, and (3) optimization model for the selection of ideal lifting schedule using genetic algorithm (GA). An illustrative example is presented to illustrate and evaluate the proposed framework. The results show that the proposed framework can generate the shortest lifting path for each prefabricated module automatically. The lift planning for prefabricated modules in vertical extension project can be significantly improved by the developed framework.	N.A.