Structural Optimization of Concrete Volume for Machine Foundation Using Genetic Algorithms

Document Type : Regular Article

Authors

1 D.Sc. Student, Mechanical Engineering Postgraduate Program (PPGEM), State University of Rio de Janeiro (UERJ), Rio de Janeiro/RJ, Brazil

2 Professor, Mechanical Engineering Postgraduate Program (PPGEM), State University of Rio de Janeiro (UERJ), Rio de Janeiro/RJ, Brazil

3 Professor, Civil Engineering Postgraduate Program (PGECIV), State University of Rio de Janeiro (UERJ), Rio de Janeiro/RJ, Brazil

Abstract

This research work aims to optimize a concrete foundation designed to support a high-capacity motor-driven compressor. The structure has plane dimensions of approximately 15 m × 11 m and a height of 1.5 m. The concrete block is to be supported by 20 concrete piles approximately 8.5 m in length and 0.5 m in diameter. The investigated structural system is subjected to deterministic dynamic loadings due to the nature of the equipment supported by the concrete foundation. The main objective of the optimization is to reduce the structural volume through the analysis of its dynamic response, in order to minimize the cost of the concrete volume. In this research work, Genetic Algorithms (GAs) are used through an appropriate interface between ANSYS and MATLAB software. The results of this study show that through the GAs it is possible to achieve a considerable volume reduction with respect to the original volume of concrete used in the design of the foundations structural system.

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References

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History

  • Receive Date: 27 September 2019
  • Revise Date: 24 November 2019
  • Accept Date: 26 November 2019
  • First Publish Date: 26 November 2019

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