Holistic Social, Environmental and Technical Quality Model

Research Project 18 (RP 18)

HOLISTIC QUALITY MODEL FOR INTCDC BUILDING SYSTEMS: SOCIAL, ENVIRONMENTAL AND TECHNICAL CHARACTERISTICS

IntCDC aims to deliver a disruptive socio-technical innovation that promises to develop a digital building system that offers solutions to current problems in construction and provide the prerequisites for a high-quality, liveable and sustainable built environment. In order to deliver on its promises and aspirations, IntCDC needs to be accompanied by quality assessment.

The main challenge for our research project is to develop a Holistic Quality Model (HQM) that integrates social, environmental and technical aspects. Our research will break new ground on two counts: First, we will take an interdisciplinary approach and integrate social, environmental and technical quality characteristics and parameters into an HQM. Second, we will define the critical parameters in close alignment with the co-design-based development of building systems. Thereby, we will provide a mechanism of process monitoring that has the potential to deepen and enhance cooperation as well as reflexive awareness of social, environmental and technical quality requirements in the development of building systems. Thus, the HQM will strengthen the co-design approach beyond IntCDC research activities.



PRINCIPAL INVESTIGATORS

Prof. Dr. phil. Cordula Kropp
Institute for Social Sciences (SOWI), University of Stuttgart
Prof. Dr.-Ing. Philip Leistner
Institute for Acoustics and Building Physics (IABP), University of Stuttgart
Prof. Dr.-Ing. habil. Volker Schwieger
Institute of Engineering Geodesy (IIGS), University of Stuttgart

TEAM

Dr.-Ing. Li Zhang (IIGS)
apl. Prof. Dr. Kathrin Braun (SOWI)
Laura Balangé (IIGS)
Roberta Di Bari (LBP)
Matthias Fischer (LBP)
Rafael Horn (LBP)
Patrick Deniz Hos (SOWI)

 

PEER-REVIEWED PUBLICATIONS

  1. 2020

    1. Balangé, L., Zhang, L., & Schwieger, V. (2020). First Step Towards the Technical Quality Concept for Integrative Computational Design and Construction. Contributions to International Conferences on Engineering Surveying, 118–127. https://doi.org/10.1007/978-3-030-51953-7_10
    2. Di Bari, R., Belleri, A., Marini, A., Horn, R., & Gantner, J. (2020). Probabilistic Life-Cycle Assessment of Service Life Extension on Renovated Buildings under Seismic Hazard. Buildings, 10(3), 48. https://doi.org/10.3390/buildings10030048
    3. Horn, R., Ebertshäuser, S., Di Bari, R., Jorgji, O., Traunspurger, R., & Both, P. von. (2020). BIM2LCA Approach: An Industry Foundation Classes (IFC)-Based Interface to Integrate Life Cycle Assessment in Integral Planning. Sustainability, 12(16), 6558. https://doi.org/10.3390/su12166558
    4. Zhang, L., Balangé, L., Braun, K., Di Bari, R., Horn, R., Hos, D., Kropp, C., Leistner, P., & Schwieger, V. (2020). Quality as Driver for Sustainable Construction - Holistic Quality Model and Assessment. Sustainability, 2020, 12(19), 7847. https://doi.org/10.3390/su12197847
  2. 2019

    1. Di Bari, R., Jorgji, O., Horn, R., Gantner, J., & Ebertshäuser, S. (2019). Step-by-step implementation of BIM-LCA: A case study analysis associating defined construction phases with their respective environmental impacts. IOP Conference Series: Earth and Environmental Science, 323(012105), Article 012105. https://doi.org/10.1088/1755-1315/323/1/012105
    2. Harder, N., Schlegl, F., Flemming, D., Di Bari, R., Albrecht, S., Leistner, P., & Park, S. (2019). Bauphysikalische und ökologische Bewertung adaptiver Fassadenkonstruktionen auf Raumebene. Bauphysik, 41(6), 302--313. https://doi.org/10.1002/bapi.201900023
    3. Jorgji, O., Di Bari, R., Katrin, L., Gantner, J., & Horn, R. (2019). Analysing the impact of retrofitting and new construction through probabilistic life cycle assessment. A method applied to the environmental-economic payoff value of an intervention case in the Albanian building sector. IOP Conference Series: Earth and Environmental Science, 323(012184), Article 012184. https://doi.org/10.1088/1755-1315/323/1/012184
    4. Schwieger, V., Menges, A., Zhang, L., & Schwinn, T. (2019). Engineering Geodesy for Integrative Computational Design and Construction. Zeitschrift Für Geodäsie, Geoinformation Und Landmanagement (ZfV), 144(4), 223--230. https://doi.org/10.12902/zfv-0272-2019

OTHER PUBLICATIONS

  1. 2020

    1. Kropp, C. (2020). Embedded Humanism: Chancen und Risiken von STIR für eine transformative TA. In R. Lindner, M. Decker, E. Ehrensperger, H. N., S. Lingner, C. Scherz, & M. Sotoudeh (Eds.), Gesellschaftliche Transformation: Gegenstand oder Aufgabe der Technikfolgenabschätzung. (pp. 119–131). nomos.
    2. Yang, Y. (2020). Investigation for position determination of hollow sphere integrated in concrete components during component production.
  2. 2019

    1. Schwieger, V., & Zhang, L. (2019). Qualität in der Ingenieurgeodäsie – Begriff und Modellierung. Qualitätssicherung Geodätischer Mess- Und Auswerteverfahren 2019, 180. DVW-Seminar.

  

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