The present study investigates the optimization of reconfiguration sequences in a redeployable research pavilion with a span of 12 m. The pavilion’s lightweight structural system, supported by a central telescopic pillar and eight radially arranged linkage bars, is designed to showcase adaptive architectural capabilities. To achieve energy-efficient reconfigurations, a comprehensive mathematical formulation was developed, addressing both cumulative actuation displacement (Σ|Δh|) and actuation work (ΣWact) as key optimization criteria. An algorithm was implemented in MATLAB to calculate these criteria, by generating all possible reconfiguration paths from a known initial to a target configuration. Results indicate that while multiple sequences achieved minimal cumulative displacement, only a few met the lowest actuation work threshold, demonstrating the importance of selecting appropriate criteria for energy efficiency. This dual-criterion approach enables identification of optimal reconfiguration sequences, contributing to the development of sustainable and adaptable reconfigurable structures. The developed algorithm also facilitated graphical analysis, ensuring visual verification of the results and providing a robust foundation for future design enhancements in adaptive architecture.

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Motion Sequence Optimization of a Reconfigurable Building to Increase Its Energy Efficiency

  • Stefanos Gkatzogiannis,
  • Marios C. Phocas,
  • Eftychios G. Christoforou

摘要

The present study investigates the optimization of reconfiguration sequences in a redeployable research pavilion with a span of 12 m. The pavilion’s lightweight structural system, supported by a central telescopic pillar and eight radially arranged linkage bars, is designed to showcase adaptive architectural capabilities. To achieve energy-efficient reconfigurations, a comprehensive mathematical formulation was developed, addressing both cumulative actuation displacement (Σ|Δh|) and actuation work (ΣWact) as key optimization criteria. An algorithm was implemented in MATLAB to calculate these criteria, by generating all possible reconfiguration paths from a known initial to a target configuration. Results indicate that while multiple sequences achieved minimal cumulative displacement, only a few met the lowest actuation work threshold, demonstrating the importance of selecting appropriate criteria for energy efficiency. This dual-criterion approach enables identification of optimal reconfiguration sequences, contributing to the development of sustainable and adaptable reconfigurable structures. The developed algorithm also facilitated graphical analysis, ensuring visual verification of the results and providing a robust foundation for future design enhancements in adaptive architecture.