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 Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data Journal 01/2020 Yang, L., Cheng, J.C.P., and Wang, Q. As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent decades due to its high measurement accuracy and high measurement speed. However, most existing methods for creating as-built BIMs from laser scanning data involve plenty of manual work, thus becoming labor intensive and time consuming. To address the problems, this study presents a semi-automated approach that can obtain required parameters to create as-built BIMs for steel structures with complex connections from terrestrial laser scanning data. An algorithm based on principal component analysis (PCA) and cross-section fitting techniques is developed to retrieve the position and direction of each circular structural component from scanning data. An image-assisted edge point extraction algorithm is developed to effectively extract the boundaries of planar structural components. Normal-based region growing algorithm and random sample consensus (RANSAC) algorithm are adopted to model the connections between structural components. The proposed approach was validated on a bridge-like steel structure with four different types of structural components. The extracted as-built geometry was compared with the as-designed geometry to validate the accuracy of the proposed approach. The results showed that the proposed approach could efficiently and accurately extract the geometry information and generate parametric BIMs of steel structures. Link
HKUST Risk Management in BIM Projects Report 06/2020 SIO Wai Lam
The objectives of the project are to identify the risks with high risk level and mitigation with higher effectiveness in BIM industry. The survey was conducted to collect the data of risks and mitigations adopted by different groups of people. Overall analysis, by-group analysis and cross-group analysis were performed.

Thus, the risks were analyzed and discussed with two approaches - level of consequence and level of probability. The level of risk was identified combining these two approaches. The assumption and resolution of identified risks were discussed. Mitigation strategies with higher appropriateness were identified and relevant comments were made.

It is found that the level of risk of C6 (Poor participation / contribution from project team in BIM adoption) and M1 (Lack of adequate expertise in BIM) are extreme, and are very high for risk T6 (Design conflict / clashes in BIM was not revealed / unresolved), C1 (Unclear requirements (e.g. EIR / AIR / contract) of BIM uses and specifications), C2 (Unclear roles, responsibility and liability in BIM implementation). As for mitigation strategy, it is found that mitigation #1 (Clear Employer’s Information Requirement) and #11 (BIM Education for Project Team) were mitigation strategies with the 1st and 2nd ranking in appropriateness/effectiveness. Mitigation can minimize risk C6, and mitigation #11 helps to mitigate risk M1.
HKUST Risk Management in BIM Projects Report 06/2019 CHEUNG Kai Sum Hudson
Shane Syen Ee KOK
Building Information Modeling (BIM) is claimed to be as the future trend of the Architectural, Engineering and Construction (AEC) industry and a way to address the issues of AEC. A BIM model can be adopted in different stages of project’s life circle and result in better quality, but less time and cost consumed. Although quality, cost and time are improved by adopting BIM, risk is one of the critical problems in the adoption of BIM. This study is based on conducted surveys and literature research. In this study, risk factors related to BIM adoption were identified and prioritized based on the results of a questionnaire survey distributed to architects, engineering consultants, academics, and construction companies in the AEC industry, followed by a series of discussion on the major risk factors to provide better understanding. The sources were analyzed and used to explain and identify the main risk of BIM related issues. 14 sub-factors of legal risk will be studied and gathered into four big divisions. N.A.
HKU Relations between Organizational Change and Building Information Modelling Implementation: A Social Network Analysis Thesis 04/2017 LEUNG Hiu Lam -- N.A.
HKUST Rebar Prefabrication Automation Leveraging BIM Technology FYP 06/2020 LEUNG, Jing
WONG, Ngo Nam Andrew
The construction industry attempts to focus on innovative construction methods and the use of IT to enhance productivity. In recent years, the application of Building Information Modelling (BIM) technology is more common in the market. BIM provides a platform for data exchange of different parties without any format conversion which facilitates cross-discipline communication. The Hong Kong government has been the pioneer in applying BIM in the design of some government capital projects to foster its usage in HK. However, BIM facilitates the stage of planning and designing, there should be ways to improve the performance in the construction stage. Dynamo is a built-in software of Revit to be used in this project to develop the construction information technology.

The objectives of this report are to introduce the use of Dynamo scripts for the generation of BVBS code, barcode, schedule, and drawings for automatic rebar fabrication with the assistance of Dynamo to a Revit BIM model. With the automatic generation and implementation of IT, time can be shortened and accuracy can be enhanced. By running the Dynamo scripts in this research, standardized detailed drawings and bar bending schedules can also be obtained automatically.
HKUST Rebar Design Optimization and Prefabrication Automation Leveraging BIM Technology Report 06/2020 Tobias Cheuk Toa CHEUNG Steel reinforced concrete building structure is very common among Hong Kong. Cost estimation is an important part during the preparation process for a construction project. Nowadays in Hong Kong, the contractor use lots of time in this stage while some mistake may occur as the process is done manually. To reduce error and shorten cost estimation time, design optimization and prefabrication automation leveraging should be considered. This project aims to complete the two objectives by using Building Information Modeling and Dynamo. After the design, the moment envelope generated by ETABS should be extract and input for designing the structural components. When the design of structural component, coding in Dynamo should be able to calculate the construction cost estimation for the building. Construction joint, continuity of rebar and the matching of rebar should be considered and build a bar bending schedule.

This project will go through the reviewing of site solution for solving some common problems. After that, some algorithm will be review to check whether it suitable for solving the problem mathematically. At last, application of graph theory in python 3 is finished and full bin packing algorithm in python is finished for rebar matching to reduce material cost. Suggestion will be made for further study in this project.