Building information modeling (clash detection and analysis for architecture & structure discipline in BIM) /
Muhammad Afiq Hasmi
- Kuantan, Pahang : UMP, 2016
- xii, 42 p. : col. ill. ; 30 cm. + 1 CD-ROM
Faculty of Civil Engineering and Earth Resources
Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2016
Bibliography : p. 41-42
Building information modelling (BIM) is one of the most promising recent developments in the AEC industry. With BIM technology, an accurate virtual model of a building is digitally constructed. This model, known as a building information model, can be used for planning, design, construction, and operation of the facility. In construction industry, one of the key that lead to the successfully of a project is a good and effective coordination of the time and the cost of the project that can be made during the pre-construction phases where it is called as design phase. In this phases, clash detection in 3D coordination are the most important step that need to be done in this BIM implementation to save an expansive cost of changing construction at site and to avoid the delay of time consuming in construction project. Nowadays, coordinator in Malaysia still rely with 2D construction drawings for all disciplines. This 2D construction drawing generally is been generated by CAD software which are lack of information that are requirement for the coordinator. In clash detection, the processes take a time of finding where the model clash. It means that elements of separate models occupying the same space, or with parameters that are incompatible, or in 4D BIM modelling, a time sequence that is out of order. Finding this inconsistence is vital, as they would severely impact the construction process, causing delays, design changes, materials costs and a cascade of headaches and budget overruns. The methodology of this research are beginning from the collection of raw data of a 2D CAD drawing until it finishes to the last that is the output of the research. The output of this research is the report of clash detection that will run through this research.
THE0007812(Local)
Faculty of Civil Engineering and Earth Resources--Dissertations