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PAAD: Panelization algorithm for architectural designs.

Andrew Fisher1, Xing Tan2, Muntasir Billah3

  • 1Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada.

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|June 11, 2024
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Summary
This summary is machine-generated.

This study introduces a new algorithm for building panelization, optimizing material use in construction. The Panelization Algorithm for Architectural Designs (PAAD) reduces waste and costs in complex building projects.

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Area of Science:

  • Construction Management
  • Computational Engineering
  • Architectural Design

Background:

  • Construction efficiency is crucial for client satisfaction and company reputation.
  • Existing rule-based panelization methods lead to material waste, especially in complex designs.
  • Inefficient material usage increases costs and environmental impact.

Purpose of the Study:

  • To develop an optimized panelization algorithm for architectural designs.
  • To balance manufacturing constraints with material usage optimization.
  • To reduce material waste and associated costs in construction.

Main Methods:

  • A novel Panelization Algorithm for Architectural Designs (PAAD) was developed.
  • The algorithm employs a genetic evolutionary strategy based on the 2D bin packing problem.
  • It treats structural rules as flexible constraints with post-processing corrections.

Main Results:

  • PAAD demonstrated superior performance compared to industry implementations and expert solutions.
  • The algorithm effectively minimizes material usage through iterative refinement.
  • Reduced need for manual corrections was observed, enhancing efficiency.

Conclusions:

  • PAAD offers a significant improvement in material optimization for architectural panelization.
  • The algorithm presents a practical and efficient solution for the construction industry.
  • Further research is encouraged through the release of a data generator and interface.