Resources
FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong
Institution | Title | Type | Date | Author(s) | Abstract | Link |
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HKUST | Earthquake scenario simulation of urban transportation hub: building information modeling and site-city interaction | FYP | 06/2018 | Yeung Tsun Fung Chau Pang, Francis Lam Ka Tsun |
Seismic capacity of an underground urban transportation hub becomes essential to reduce the risk of seismic hazards. By conducting a comprehensive seismic analysis, it is possible to predict the seismic hazard of the transportation hub more accurately. However, seismic design for the transportation hub is of importance to analyze the soil-structure interaction effect. Therefore, Kowloon Station is selected as a testbed to demonstrate whether the SSI effect is beneficial or detrimental. Today Building Information Modelling becomes a powerful tool to develop a three-dimensional digital model such that it can act as a database for further seismic analysis. Since the numerical finite element modelling method is a common approach to solve the problem, in this study, Plaxis 3D, a professional geotechnical FEM software, is selected to investigate the SSI effect on Kowloon Station. Advanced material models are provided to deal with the complexity of the problem. The results show that the SSI effect has a beneficial effect which the peak acceleration of the structure base is smaller than that at the ground surface. To carry out a more realistic simulation, more laboratory tests should be carried out to obtain the dynamic soil properties. In order to examine the damage to structural and non-structural components of the structure, the recorded PGA can be applied in further studies such as fragility curves so as to analyze probability of the damage. |
N.A. |
HKUST | Integrating BIM and Internet of Things for Building Facility Management and Energy Management | Report | 06/2019 | Yaoming HU Bonan Zhang |
This project studies sensor location determination in a complex conference room as a part of Smart HVAC system. It describes the background of HVAC system and how the system can be upgraded as a smart system, automated system, to save energy. The project mainly studies the methodology and uses some factors in IAQ, indoor air quality, to illustrate possible locations for sensor placement. In this project, Autodesk Revit is used to build a BIM model of a conference room. The building of BIM of the room is important since it will reflect the true structural setup of the room. Autodesk CFD is then introduced to run simulations. For CFD simulation, materials and boundary conditions are applied to the model in order to run simulations that can reflect distribution as realistic as possible. In the CFD simulations, some major IAQ factors such as, temperature, air velocity, thermal comfort, CO2, VOC (formaldehyde) and dust (PM 2.5) are predicted in the environment. To analyze the temperature distribution, different numbers of people are introduced to examine the difference of heat distribution due to number of people. Pollutants are examined using assumed values according to average emission values. The goal is not to determine whether or not the room is polluted but the distribution of pollutants inside the room. Eventually, the results of all simulations are collected and analyzed to determine the areas with high density of heat, pollutants where those high concentration areas are the prior locations sensors have to monitor. It is concluded that the simulation of air movement, heat, pollutant distribution, etc. is useful methodology to determine sensor locations. With the sensor placed in correct locations, HVAC system can run with higher efficiency and prevent hazardous environment. | N.A. |
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 |
HKU | Application of information technology in materials logistics in the Hong Kong construction industry | Thesis | 04/2000 | YAN Kwok Wing | -- | N.A. |
HKUST | Comparative Study on Global BIM Standards | Report | 06/2019 | Xiaoyang TANG | In the recent decade, the Building Information Model (BIM) is developing at an unbelievable high speed worldwide. Just two years ago, China has published its first BIM standard to unify the BIM project process. In this essay, several China BIM standards including GB/T 51269, GB/T 51212 and GB/T 51301 are compared with other released global BIM standards according to its category. Mainly, there are three types of standards in the world, which are the International Framework for Dictionaries (IFD), Information Delivery Manual (IDM) and Industry Foundation Class (IFC). First, two types of standards are focused, which IFD will compare the GB/T 51269 with OmniClass from America, while IDM will compare the GB/T 51212 and GB/T 51301 with CIC BIM standard from Hong Kong, Singapore BIM Guide Version 2 and PAS 1192.2 from the UK. In order to compare these standards with a logic method, CIC BIM standard’s structure is chosen as the example for IDM while IFC follows GB/T. All the sections mentioned in the standards have been compared to summarize the advantages and disadvantages of China BIM standards. After compared all the standards, it could conclude that the GB/T standards are general information for most sections, which means it is suitable for most types of BIM projects. However, several sections are missing compared with other global BIM standards. For example, one of the most important BIM section called Individual Discipline Modelling is missing in any GB/T standards. Therefore, there is still room for improvement in the future. |
N.A. |
HKUST | Natural-language-based intelligent retrieval engine for BIM object database | Journal | 03/2019 | Wu, S., Shen, Q., Deng, Y., and Cheng, J.C.P. | Rapid growth of building components in the BIM object database increases the difficulty of the efficient query of components that users require. Retrieval technology such as Autodesk Seek in America and BIMobject in Europe, which are widely used in BIM databases, are unable to understand what the search field truly means, causing a lack of completion and a low accuracy rate for results incapable of meeting the demands of users. To tackle such a problem, this paper puts forward a natural-language-based intelligent retrieval engine for the BIM object database and Revit modeling. First, a domain ontology is constructed for semantic understanding, and the BIM object database framework is established for testing our search engine. Second, “target keyword” and “restriction sequence” proposed are extracted from the natural sentences of users. Then, a final query is formed, combining concepts of “keyword” and “restriction sequence”, and its concepts are expanded through the semantic relationship in ontology. Finally, the results are presented after mapping from the final query to the BIM object database and ranking of results. Compared with traditional keyword-based methods, the experimental results demonstrate that our method outperforms the traditional methods. | Link |