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Wooden Buildings in Silent Sustainable Cities

Reference number
Coordinator Lunds universitet - Avdelningen för byggnadsmekanik
Funding from Vinnova SEK 4 557 000
Project duration November 2018 - March 2023
Status Completed

Purpose and goal

** Denna text är maskinöversatt ** Within the project, innovative computer-based methods and methodologies have been developed for the prediction of vibrations and structure-borne noise in wooden buildings exposed to ground vibrations generated by train traffic. Using these methods means that decision-making in such construction projects can be done both faster and with higher reliability. Relevant applications include, for example, new stretches of railway in existing urban areas and/or new wooden buildings located close to existing railway lines.

Expected results and effects

The long-term effects of a prediction tool are assumed to facilitate an increased use of lightweight wooden buildings in urban areas with public transport. The developed methods and methodologies can be used to support structural design with regard to structure-borne sound and vibrations in multi-storey wooden buildings. The project results are thus expected to contribute to the development of a sustainable society in terms of health in the form of reduced disturbances and environmental impact thanks to increased competitiveness for multi-storey buildings made of wood.

Planned approach and implementation

Researchers from Lund University and Chalmers Technical University, have collaborated with industry representatives in the project in three main areas: (1) Development of calculation models, (2) Case studies - measurements and (3) Communication with stakeholders. Within these parts, we have worked with the development of computer-based methods for and measurements of vibrations in wooden buildings caused by external traffic loads such as trains, as well as with how relevant stakeholder management should take place for the implementation of new methods in the design process.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 2 May 2023

Reference number 2018-04159

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