Analysis of early-design timber models for sound insulation |
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| Affiliation: | 1. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China;2. School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China;3. Zhejiang Asia-Pacific Mechanical & Electronic Co., Ltd, Hangzhou 310007, China;4. AECC Hunan Aviation Powerplant Research Institute, Zhuzhou 412002, China;1. School of Electrical & Electronic Engineering, The University of Suwon, San 2-2 Wau-ri, Bongdam-eup, Hwaseong-si, Gyeonggi-do 445-743, South Korea;2. Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi 276005, China;3. Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4 AB, Canada;4. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;6. School of Automation and Electrical Engineering, Linyi University, Linyi 276000, Shandong, China;7. Key Laboratory of Complex Systems and Intelligent Computing in University of Shandong, Linyi University, Linyi 276000, Shandong, China;8. TOP''S EnT Co., Ltd., South Korea;1. School of Mechanical Engineering, Southeast University, Nanjing 211189, PR China;2. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, PR China;1. Department of Engineering, University of Cambridge, United Kingdom;2. Department of Technology, Illinois State University, United States;3. Department of Neuroscience, Physiology, and Pharmacology, University College London, United Kingdom;4. Laing O’Rourke Professor, Department of Engineering, University of Cambridge, United Kingdom;1. College of Mechanical & Electrical Engineering/ National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211816, China |
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| Abstract: | Timber construction is associated with a low carbon footprint and offers a high degree of sustainability. However, it poses challenges considering sound insulation. Acoustic analyses, which could require major expensive and time consuming changes in the building design, are typically performed once the design is already in the detailed stage. By using building information modelling (BIM), it is possible to shift the planning of the building physics, including acoustic analysis, to earlier phases. To make this possible, building models must include all the information necessary to perform acoustic analyses. One important part of acoustic analysis is identifying junctions between elements and map them to the junction types in standards. Until now, this investigation involves tedious manual processing for extracting multiple topological dependencies between different elements. Hence, this paper presents a framework for a seamless workflow between building models and acoustic analysis tools, based on an analysis of data models. The framework extracts and analyzes the element types, their geometry, and the connections of the individual elements in relation to each other. Through topological reasoning, along with a set of logical rules, the proposed framework identifies fifteen types of junctions, which can be distinguished acoustically for timber construction. The approach was evaluated in a prototypical implementation using a real-world model based on Industry Foundation Classes (IFC) as an example, in which the potential connection types were successfully extracted. This paper shows that junction analysis can be done with a geometric analysis to fill in missing semantic information about junctions of elements from the original data model. |
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| Keywords: | Timber construction Sound insulation BIM Interoperability Early stages |
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