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院校 題目 類型 日期 作者 摘要 網頁
HKUST A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning Journal 08/2014 Kim, M.-K., Cheng, J.C.P., Sohn, H., and Chang, C.-C. This study presents a systematic and practical approach for dimensional and surface quality assessment of precast concrete elements using building information modeling (BIM) and 3D laser scanning technology. As precast concrete based rapid construction is becoming commonplace and standardized in the construction industry, checking the conformity of dimensional and surface qualities of precast concrete elements to the specified tolerances has become ever more important in order to prevent failure during construction. Moreover, as BIM gains popularity due to significant developments in information technology, an autonomous and intelligent quality assessment system that is interoperable with BIM is needed. The current methods for dimensional and surface quality assessment of precast concrete elements, however, rely largely on manual inspection and contact-type measurement devices, which are time demanding and costly. In addition, systematic data storage and delivery systems for dimensional and surface quality assessment are currently lacking. To overcome the limitations of the current methods for dimensional and surface quality assessment of precast concrete elements, this study aims to establish an end-to-end framework for dimensional and surface quality assessment of precast concrete elements based on BIM and 3D laser scanning. The proposed framework is composed of four parts: (1) the inspection checklists; (2) the inspection procedure; (3) the selection of an optimal scanner and scan parameters; and (4) the inspection data storage and delivery method. In order to investigate the feasibility of the proposed framework, case studies assessing the dimensional and surface qualities of actual precast concretes are conducted. The results of the case studies demonstrate that the proposed approach using BIM and 3D laser scanning has the potential to produce an automated and reliable dimensional and surface quality assessment for precast concrete elements. 連結
HKUST A financial decision making framework for construction projects based on 5D building information modeling (BIM) Journal 12/2015 Lu, Q., Won, J., and Cheng, J.C.P. Analyzing cash flows and undertaking project financing are important for contractors in managing construction projects. Traditional methods for cash flow analysis are based on the manual integration of time and cost information. However, the manual integration process can be automated by using five-dimensional building information modeling (5D BIM). Previous studies on 5D BIM have focused on estimating cash outflow rather than cash inflow analysis and project financing. This paper proposes a BIM-based methodology framework for cash flow analysis and project financing. The framework considers contract types and retainage to estimate cash inflow, and cash outflow patterns for equipment, manpower, and materials in order to more accurately measure cash outflow. Project financing scenarios can also be evaluated using the framework. Illustrative examples are demonstrated to validate the proposed framework by considering two what-if scenarios. Results show that the framework can help contractors analyze the cash flow and make appropriate decisions for different design and payment scheme alternatives in construction projects. 連結
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. 連結
HKUST A state-of-the-art review on the integration of building information modelling (BIM) and geographic information system (GIS) Journal 02/2017 Liu, X., Wang, X., Wright, G., Cheng, J.C.P., Li, X., and Liu, R. The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologies will have a significant impact on solving problems in the civil, building and infrastructure sectors. However, since GIS and BIM were originally developed for different purposes, numerous challenges are being encountered for the integration. To better understand these two different domains, this paper reviews the development and dissimilarities of GIS and BIM, the existing integration methods, and investigates their potential in various applications. This study shows that the integration methods are developed for various reasons and aim to solve different problems. The parameters influencing the choice can be summarized and named as “EEEF” criteria: effectiveness, extensibility, effort, and flexibility. Compared with other methods, semantic web technologies provide a promising and generalized integration solution. However, the biggest challenges of this method are the large efforts required at early stage and the isolated development of ontologies within one particular domain. The isolation problem also applies to other methods. Therefore, openness is the key of the success of BIM and GIS integration. 連結
HKUST Trends and opportunities of BIM-GIS integration in the architecture, engineering and construction industry: A review from a spatio-temporal statistical perspective Journal 12/2017 Song, Y., Wang, X., Tan, Y., Wu, P., Sutrisna, M., Cheng, J.C.P., et al. The integration of building information modelling (BIM) and geographic information system (GIS) in construction management is a new and fast developing trend in recent years, from research to industrial practice. BIM has advantages on rich geometric and semantic information through the building life cycle, while GIS is a broad field covering geovisualization-based decision making and geospatial modelling. However, most current studies of BIM-GIS integration focus on the integration techniques but lack theories and methods for further data analysis and mathematic modelling. This paper reviews the applications and discusses future trends of BIM-GIS integration in the architecture, engineering and construction (AEC) industry based on the studies of 96 high-quality research articles from a spatio-temporal statistical perspective. The analysis of these applications helps reveal the evolution progress of BIM-GIS integration. Results show that the utilization of BIM-GIS integration in the AEC industry requires systematic theories beyond integration technologies and deep applications of mathematical modeling methods, including spatio-temporal statistical modeling in GIS and 4D/nD BIM simulation and management. Opportunities of BIM-GIS integration are outlined as three hypotheses in the AEC industry for future research on the in-depth integration of BIM and GIS. BIM-GIS integration hypotheses enable more comprehensive applications through the life cycle of AEC projects. 連結
HKUST A review of the efforts and roles of the public sector for BIM adoption worldwide Journal 07/2015 Cheng, J.C.P., and Lu, Q. Building Information Modeling (BIM) adoption is spreading through the public sector (including government bodies and non-profit organizations) around the globe in the architecture, engineering and construction (AEC) industry. The public sector plays a key role in supporting and encouraging the adoption of BIM in the industry. Currently there is no comprehensive study on the efforts and roles of the public sector for BIM adoption. In this paper, different kinds of the efforts that the public sector has put for BIM adoption worldwide are reviewed to highlight the successful implementations of BIM and to identify the gaps in some countries. The countries covered in this paper are grouped into four regions - the United States, Europe, Asia, and Australasia. In each region, efforts of the public sector in different countries to BIM implementations including establishment of BIM programs and committees, organization of BIM activities and seminars, setting up of different BIM goals and promises, and preparation of BIM guidelines and standards are described and compared. This paper also identifies six major possible roles of the public sector for BIM adoption. The roles played by the public sector in each selected country are summarized and evaluated. 連結