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


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Date: From


Institution Title Type Date Author(s) Abstract Link
HKUST A BIM-based Framework for Site Layout Optimization and Material Logistics Planning on Congested Construction Sites Thesis 08/2015 Srinath KUMAR Urban construction projects are characterized by the lack of available space on construction sites. Due to the confined nature of such sites, construction materials, equipment and manpower must be managed within the same area, leading to frequent conflicts. As a result, the construction site layout and material logistics plans should be carefully coordinated to ensure a seamless flow of materials, equipment and labor. Existing studies focus on developing systems to address construction site layout planning (CSLP) and material logistics planning (MLP). However, such systems fail to address the mutual impacts and inter-dependencies between the site layout and material logistics plans. Furthermore, existing systems suffer from a lack of automation and inability to address construction delays. Therefore, this research aims to develop a framework for planning the site layout and material logistics on construction sites making use of building information modeling (BIM) technology. BIM has been used in the construction industry for over a decade, but its use in construction planning is still limited to clash detection and 4D simulation. BIM models however, are rich information sources and can be used for construction site layout and material logistics planning as well.

This research presents an automated CSLP framework and a MLP framework that are developed based on BIM technology. The first framework utilizes information stored in BIM models to estimate the size, type and number of temporary facilities required by a construction project during different time intervals. By leveraging the functionality offered by the Autodesk Revit application programming interface (API), several of the computations are automated, significantly reducing manual effort. The second framework is designed to integrate material quantity information from BIM models with construction progress data and material delivery information. This framework coordinates material logistics along with the site layout, giving special emphasis on responding to construction delays. The two frameworks together can be used to facilitate CSLP and MLP on congested construction sites.
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 A BIM-based automated site layout planning framework for congested construction sites Journal 08/2015 Kumar, S., and Cheng, J.C.P. Site layout planning is often performed on construction sites to find the best arrangement of temporary facilities so that transportation distances of on-site personnel and equipment are minimized. It could be achieved by creating dynamic layout models, which capture the changing requirements of construction sites. However, formulating such models is extremely tedious because it requires much manual data input and changes to design and construction plans are manually updated by layout planners. This study presents an automated framework of creating dynamic site layout models by utilizing information from BIM. The A* algorithm is used in conjunction with genetic algorithms to develop an optimization framework that considers the actual travel paths of on-site personnel and equipment. To address the space limitation on site, our model optimizes the dimensions of facilities and also considers interior storage within buildings under construction. A case example is demonstrated to validate this framework and shows a 13.5% reduction in total travel distance compared with conventional methods. Link