資源
分享此頁:
列印
列印
香港專上院校所提供之論文/研究刊物
| 院校 | 題目 | 類型 | 日期 | 作者 | 摘要 | 網頁 |
|---|---|---|---|---|---|---|
| HKUST | BIM Application for Construction and Demolition Waste Minimization | Report | 06/2015 | TAO Jiali | Nowadays the construction industry is under pressure to explore effective and efficient techniques and tools to decrease its escalating waste production. Many countries have taken initiatives to reduce the construction and demolition waste. However, the current approaches, techniques and tools focus on separate projects onsite and limited effort is invested to put attention on pre-construction waste generation related to supply chain management issues and procurement, design and tender stages. Therefore this study aims to develop the BIM-based approaches for C&D waste in the aspect of waste estimation, 3R, prefabrication and clash detection. Besides, this study will also demonstrate and validate the developed approaches for C&D waste minimization using example scenarios. All in all, the application of BIM in C&D waste minimization can be better realized. C&D Waste estimation via the quantity takeoff tool and waste index can clearly show the accurate amount of the waste before the commencement of the works. Classifying the different construction material in BIM model and set up suitable C&D waste management planning definitely improve the efficiency of the waste management. Providing accurate information of precast units ahead of time and assisting the supply chain management can be achieved in BIM model. Visual clash detection reduces rework to some extent. |
N.A. |
| HKUST | BIM-based Automatic Generation of Fabrication Drawings for Building Facades | Thesis | 08/2018 | Min DENG | Many modern commercial buildings involve complex shaped façades, resulting in increasing complexity as well as challenges in façade fabrication and assembly processes. Currently, fabrication drawings are essential for fabrication, design evaluation and inspection of building components. Computer-aided automation, which can significantly improve the efficiency and accuracy of the fabrication and assembly process, is thus essential for the generation of façade fabrication drawings, thereby supporting the fabrication and assembly of the building façade components. Among current computer-aided technologies, building information modeling (BIM) has been widely applied to many sophisticated building projects due to its comprehensive ability in digital representation of building models. BIM has demonstrated its advantages over generating different types of drawings. However, generating fabrication drawings for façade panels using conventional approaches is time-consuming and error prone, especially when the number of façade components become huge. Therefore, this thesis aims to develop BIM-based methodologies to automate the generation of fabrication drawings for façade components, thereby facilitating the whole construction process. For façade panels, a BIM-based framework is proposed for the automatic generation of fabrication drawings for façade panels. The framework integrates both graphical and non-graphical information from BIM models and other external data sources. Specific algorithms are applied to automatically generate the graphical information on the drawing templates based on the BIM geometric models. Title blocks of the drawing templates are also automatically filled in with corresponding non-graphical information. Complete fabrication drawings as well as a tabulated file with essential graphical information on similar components are then generated automatically. For structural components such as mullions and transoms, it is important to represent their physical characteristics clearly, thus a large number of section views need to be produced, which is a time-consuming process and very labor intensive. Therefore, automatic generation of fabrication drawings for building façade components (such as mullions and transoms) is of paramount importance. In this thesis, attempts have been made to develop an efficient framework in order to automatically generate fabrication drawings for building façade structural components, including mullions and transoms. To represent the complex physical characteristics (such as holes and notches) on mullions and transoms using minimum number of drawing views, a computational algorithm based on graph theory is developed to eliminate duplicated section views. Another methodology regarding the generation of breaks for front views is also proposed to further improve the quality of drawing layouts. The obtained drawing views are then automatically arranged using a developed approach. In addition, primary dimensions of the drawing views focusing on the physical features are also generated. Furthermore, in order to maintain the consistency of the drawing formats, a methodology is proposed to simulate the scales of the drawings by using clustering technique. With the adoption of the proposed BIM-based methodologies, time and human effort in the generation of fabrication drawings for façade components can be significantly reduced, and all the fabrication drawings for similar components will follow a consistent drawing format with explicit layout, thereby enhancing their readability. |
N.A. |
| HKUST | BIM-supported 4D acoustics simulation approach to mitigating noise impact on maintenance workers on offshore oil and gas platforms | Journal | 12/2018 | Tan, Y., Fang, Y., Zhou, T., Gan, V.J.L., and Cheng, J.C.P. | Maintenance workers on offshore platforms are usually exposed to a high level of noise from the working environment as most of the daily operations of oil and gas process machines generate noise over 85 dBA, causing substantial health and safety issues. Avoiding exposure of workers to the modules that generate high sound power during maintenance activities can significantly mitigate the noise impact on human health and safety. Noise simulation and noise mapping methodologies can be used to evaluate and quantify the noise impact on offshore platforms. However, limited digital information of offshore platforms makes noise simulation setup challenging as modules on topsides have a high level of details. In addition, current noise mapping studies are usually conducted in a 3D static manner, which only reflects noise impact at a certain time. Building information modeling (BIM) provides detailed physical and functional characteristics of a facility that can be applied to support the noise simulation on offshore platforms. In this study, attempts have been made to develop a BIM-supported 4D acoustics simulation approach to mitigating the noise impact on maintenance workers of offshore platforms. BIM is utilized to automatically provide required information to facilitate noise simulation setup. 4D acoustics simulation approach is used to obtain the spatio-temporary sound pressure level (SPL) distribution of the noise generated by the functional modules on offshore platforms. Acoustic diffusion equation (ADE) is selected as noise SPL prediction model. To evaluate noise impact on maintenance workers, an equation based on daily noise dose is then newly derived to quantify the noise impact. Optimization algorithm is used to determine the maintenance schedule with the minimum daily noise dose. Finally, optimized maintenance schedule that has considered noise impact is used to update the daily maintenance plan on offshore platforms. An example of a fixed offshore platform with maintenance daily activity information is used to illustrate the proposed BIM-supported 4D acoustics simulation approach. The results show that the developed approach can well mitigate noise impact on maintenance workers on offshore platforms, resulting in health and safety management improvement. | 連結 |
| HKUST | Multi-zone indoor CFD under limited information: An approach coupling solar analysis and BIM for improved accuracy | Journal | 10/2020 | Kwok, H.H.L., Cheng, J.C.P., Li, A.T.Y., Tong, J.C.K., and Lau, A.K.H. | It is important to monitor the indoor air quality and thermal comfort of an office environment for the wellbeing of its occupants, and, to do so, computational fluid dynamics simulation is more cost-effective than measuring an entire floor. Computational fluid dynamics simulation has been used by previous studies for single rooms and partitioned spaces, but not for office floors with multi-zone ventilation systems, and air infiltrations between different zones through closed doors have been neglected. Also, since it is often not possible to take measurements across an entire floor due to concerns of tenant privacy, few studies have used the limited obtainable field measurements to validate multi-zone computational fluid dynamics simulations. This study describes a methodology to conduct indoor multi-zone steady-state computational fluid dynamics simulation, with improved accuracy, on a typical office floor where there is limited information on carbon dioxide concentrations and temperatures. Heat and mass conservation equations were used to compensate for the lack of information. The mechanical ventilation and air conditioning layout was considered along with the sources of heat and carbon dioxide emissions. To improve the accuracy of the simulation on temperature, a solar analysis, based on building geometry, orientation, materials, location, and weather, was conducted to estimate any solar heat gain and distribution through curtain walls. Building information modeling supported the solar analysis and provided geometric information for the computational fluid dynamics simulation. The methodology was validated by a real case of a commercial building, where the accuracy of the temperature simulation improved by 9.9%. | 連結 |
| HKUST | Developing a BIM-Based Facility Management Framework for Building Operations | Report | 06/2017 | Zhang Zhongkuang Xin XIA |
Indoor air quality affects human comfort in several aspects such as temperature, humidity, CO2 and CO. With BIM and sensor technologies, the real-time indoor air quality data can be collected by sensors, transmitted and displayed in the BIM model, therefore the building control system can make appropriate adjustments to improve the indoor air quality. For BIM models, the model-based approach increases efficiency within individual organizations and truly shines during coordinated project delivery. Building information modeling can drive time and budget savings for building and infrastructure projects. For sensors, the data gathered is converted to a digital form and is processed at high speed. Sensor technology can store the data in memory, from where it can be retrieved later for processing, analysis and presentation. In this research, a plugin for grading the indoor air quality was designed, which can grade the indoor air quality at current or a specified past time as “good”, “fair” or “bad” showing in the BIM model. With the grading level, proper regulate and control could be made from the building control system to improve the indoor air quality. This designed plugin was used in a real case of seafront sport center in HKUST. Moreover, to efficiently manage sensors in a building, to reduce the energy consumption thus reduce the budget, linking facility and energy management to human comfort are also necessary and should be completed in the future work. |
N.A. |
| HKUST | BIM Model Reconstruction and Checking Using 3D Laser Scanning and Machine Learning Techniques | Report | 06/2020 | LEI Ian Wang IEONG Kuan Pui |
In this project, the semantic segmentation performance of the deep learning model PointNet on Mechanical, electrical and Plumbing (MEP) is studied. Then, data of different similarity is used to test the model and the experiment of the mechanism of PointNet is conduct. Moreover, this project aims to evaluate the feasibility of generating a generalized model for semantic segmentation of MEP based on our own MEP point cloud data. On the other hand, the data preprocessing procedure is introduced. Finally, discussion about the result and conclusion are made. | N.A. |