Framework for early stage indoor climate and CO2 emission assessment

Project info
Framework for automated indoor climate and environmental impact assessment, an early stage design tool.
author | research and computational framework developement
2022 | Aarhus University
Department of Civil and Architectural Engineering | Aarhus University
Project lead: prof. Lars V. Andersen PhD
link to publication >
link to publication >
vibration performance visualisation
framework overview
concept diagram sketch
CLT structure vibration performance and environmental impact
HollowCoreConcrete vibration performance and environmental impact
TimberConcreteSlab structure vibration performance and environmental impact
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As part of the green transition, an encouraging trend in the construction sector is to utilize more wood and lightweight composites, aiming at a reduction of the embodied energy in buildings. However, lightweight large-span and multistory structures pose a risk in terms of indoor climate, specifically in increased vibration levels.

Hence, an assessment of the vibroacoustic performance of a building is necessary for the early design stage. Combined with environmental impact assessment, the aim is to guide optimal design choices.

One goal of the project was to allow the non-experienced users to perform the analysis and read its results. While the automated framework's backend runs rigorous finite-element modeling, a simple-to-use front-end interface provides simple access either in the form of a parametric model or a spreadsheet interface. The process generates the assessment's result in detailed charts and easy-to-read visualisations in an automated manner.

Furthermore, the project demonstrates how representative acceleration levels can be achieved at a low computational cost, via modular FEA. To provide an example, a small building made of cross-laminated timber has been analyzed regarding its steady-state response to time-harmonic excitation on a floor. Results are compared for scenarios of different excitation floors with several building structure types.

My role involved both concept development and programming of the framework, including the nesting and automation of the modular structural analysis, the parametric front-end, and the data-visualisation.