TY - GEN
T1 - Analysis of the early-design timber models for sound insulation analysis
AU - Châteauvieux-Hellwig, Camille
AU - Abualdenien, Jimmy
AU - Borrmann, André
N1 - Publisher Copyright:
© 2021 Universitätsverlag der Technischen Universität Berlin. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Timber construction is characterized with its high circularity and sustainability. However, such construction requires a careful evaluation of sound insulation between the different building zones. Currently, acoustic analysis is performed after the design is already detailed, which requires a substantial amount of time and effort to improve the design. Additionally, thus far, performing sound insulation analysis involves manual extraction and processing of building information, which is an error prone task. Hence, this paper proposes a framework for establishing a seamless workflow between building models and acoustic analysis tools across the design phases. In more detail, the junctions between the different elements are extracted and analysed to identify the corresponding acoustic junction types, with the help of topological reasoning and logical rules. The proposed approach was evaluated via a prototypical implementation, where the different possible junction types were extracted successfully.
AB - Timber construction is characterized with its high circularity and sustainability. However, such construction requires a careful evaluation of sound insulation between the different building zones. Currently, acoustic analysis is performed after the design is already detailed, which requires a substantial amount of time and effort to improve the design. Additionally, thus far, performing sound insulation analysis involves manual extraction and processing of building information, which is an error prone task. Hence, this paper proposes a framework for establishing a seamless workflow between building models and acoustic analysis tools across the design phases. In more detail, the junctions between the different elements are extracted and analysed to identify the corresponding acoustic junction types, with the help of topological reasoning and logical rules. The proposed approach was evaluated via a prototypical implementation, where the different possible junction types were extracted successfully.
UR - http://www.scopus.com/inward/record.url?scp=85134211692&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85134211692
T3 - EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings
SP - 12
EP - 21
BT - EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings
A2 - Abualdenien, Jimmy
A2 - Borrmann, Andre
A2 - Ungureanu, Lucian-Constantin
A2 - Hartmann, Timo
PB - Technische Universitat Berlin
T2 - 28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021
Y2 - 30 June 2021 through 2 July 2021
ER -