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Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm.

Tingting Ma1

  • 1Zhoukou Normal University, Zhoukou 466000, Henan, China.

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|June 20, 2022
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This summary is machine-generated.

This study optimizes prefabricated component design using an improved immune genetic algorithm. The method effectively balances structural integrity and economic factors for enhanced construction.

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Area of Science:

  • Structural Engineering
  • Computational Optimization
  • Materials Science

Background:

  • Optimizing assembly component design is crucial for meeting engineering demands and practical applications.
  • Prefabricated components offer efficiency but require precise structural design.
  • Balancing structural performance with economic viability is a key challenge.

Purpose of the Study:

  • To develop and validate an optimized structural design method for prefabricated components.
  • To integrate structural layout and material strength considerations into an optimization algorithm.
  • To improve the economic efficiency of prefabricated component design.

Main Methods:

  • An improved immune genetic algorithm was employed for structural optimization.
  • Component designs were converted into binary gene code for algorithmic processing.
  • Structural layout and concrete strength requirements were incorporated via specialized 'vaccines' within the algorithm.
  • Component section sizes were determined based on economic indicators.

Main Results:

  • The improved immune genetic algorithm effectively optimized the structural design of prefabricated components.
  • The integration of design requirements through 'vaccines' proved successful.
  • Economic indicators were successfully used to guide the section size design.
  • The proposed method demonstrated effectiveness in practical structural optimization.

Conclusions:

  • The developed optimization method is effective for prefabricated components.
  • The approach successfully integrates structural and economic considerations.
  • This research provides a valuable tool for optimizing the design of prefabricated construction elements.