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Efficient Optimization of Trapezoidally Corrugated Web Plate Girders Using Genetic Algorithms

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter explores the optimization of trapezoidally corrugated web plate girders using genetic algorithms, focusing on weight minimization and structural performance. The study investigates the influence of various design variables on the optimum weight of these girders and develops a mathematical model for estimating optimized weights. It compares traditional design methods with optimized designs, demonstrating significant weight savings. The research also highlights the importance of considering both strength and serviceability constraints in the design process. The findings underscore the potential of genetic algorithms in achieving efficient and cost-effective designs for corrugated web plate girders, making it a valuable resource for professionals in structural engineering and construction.

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Title
Efficient Optimization of Trapezoidally Corrugated Web Plate Girders Using Genetic Algorithms
Authors
Priya A. Jacob
S. Justin
R . Mercy Shanthi
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-95-1491-5_18
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