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Neurofuzzy Knowledge Model for Quantifying Structural Flexibility in Architecture

This paper presents a Neurofuzzy Knowledge Model aimed at assessing the structural flexibility of buildings. By focusing on adaptability, it serves as a quantitative evaluation tool for load-bearing structures, enabling architects and engineers to optimize design strategies. Key aspects include the integration of performance indicators such as adaptability, autonomy, redundancy, and accessibility. The model supports the evaluation of transformation potential in existing structures, ultimately contributing to sustainable building practices and longevity.

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Neurofuzzy Knowledge Model for Quantifying Structural Flexibility in Architecture

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  1. A Neurofuzzy Knowledge Model for the Quantification of Structural Flexibility CMS2009, 13th of June, 2009

  2. A Neurofuzzy Knowledge Model for the Quantification of Structural Flexibility Eindhoven University of Technology Department of Architecture, Building and Planning Unit Structural Design and Construction Technology R. Hoekman, R. Blok, F. Van Herwijnen / Department of Architecture, Building and Planning

  3. What’s it about? • Assessment tool • Quantitative evaluation of load bearing structures • Expressing performance with regard to adaptability / Department of Architecture, Building and Planning

  4. Goals • Provide means to quantify adaptability • Enable evaluation of potential for transformation of the existing building stock • Extend knowledge for optimization of adaptability in design strategies / Department of Architecture, Building and Planning

  5. Adaptability of Buildings

  6. Assessment of Structural Flexibility

  7. Autonomy • Integration (INT) • Redundancy (RED) • Penetration (PEN) • Connection (CON)

  8. Integration

  9. Redundancy

  10. Penetration

  11. Connection

  12. Suitability • Spatial Surplus (SPA) • Obstruction (OBS) • Technical Surplus (TEC) • Accessibility (ACC)

  13. Spatial Surplus

  14. Obstruction

  15. Technical Surplus

  16. Accessibility

  17. What are it’s merits? • Object oriented knowledge representation • Adaptability as a crisp performance indicator • Enabling optimization of adaptable designs through comparison of alternative structural configurations • Contribution to longevity of buildings by providing insights in transformation potential / Department of Architecture, Building and Planning

  18. Thank you robhoekman@gmail.com

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