Abstract
In a world with a growing population, the development of new construction forms is becoming increasingly important. This development has to be accompanied by intense quality assessment. Within the framework of the Excellence Cluster IntCDC (Integrative Computational Design and Construction for Architecture) of the German Research Foundation (DFG) at the University of Stuttgart, a Holistic Quality Model for building systems is to be developed. This model should consider social, environmental as well as technical aspects and thus enable a holistic quality assessment of the building. For the technical part of the model quality parameters and characteristics for many different disciplines like architecture, structural engineering, engineering geodesy, mechanical engineering and system engineering should be included. This definition of the critical parameters will take place in close alignment with the co-design-based development of building systems. In addition, the construction processes are modelled in order to allow quality propagation through the construction process. This contribution will deal with a first quality concept, a first quality model as well as exemplary quality characteristics and parameters gathered from concrete and timber constructions. Exemplary quality propagation possibilities will be highlighted based on previous work at the Institute of Engineering Geodesy (IIGS). The quality will be evaluated at different decision points during the building processes in the future.
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This contribution is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy– EXC 2120/1–390831618. The authors cordially thank the funding agency.
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Balangé, L., Zhang, L., Schwieger, V. (2021). First Step Towards the Technical Quality Concept for Integrative Computational Design and Construction. In: Kopáčik, A., Kyrinovič, P., Erdélyi, J., Paar, R., Marendić, A. (eds) Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-51953-7_10
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