Journal of Advanced Defense Science & Technology

Journal of Advanced Defense Science & Technology

Assessment of Response and Stiffness of Two-way Reinforced Concrete Slab Against Explosion Using Genetic Algorithm and Response Surface Method

Document Type : -

Authors
Seied Ahmad Hosseini 1
ali foroughi 2
sajjad peymani forushani 3
1 Malek Ashtar University of Technology, Tehran, Iran
2 Faculty of Passive Defense, Malek Ashtar University of Technology, Iran
3 Passive defense faculty, Malek Ashtar University, Tehran, Iran
Abstract
Conventional Analysis of Reinforced Concrete Slabs under blast load requires a long process. This process, in addition to being time consuming, does not determine the extent to which the geometric parameters of the slab are loaded. To overcome this problem, in this study, by Analyzing 351 different concrete slabs under blast load by LS-DYNA software, the maximum Deflection, its corresponding arrival time and Slab Stiffness were recorded. Then, by using the genetic algorithm method, by processing the data related to the maximum Deflection and its time, a direct relationship between the calculation of these parameters was extracted. Considering the nature of the relationship extracted from the Response Surface Method, the coefficients of the relationship variables presented for stiffness determined the importance of each variable in the stiffness of the slab. Finally, the cosine amplitude method has been used to determine the maximum sensitivity of the slab to geometric parameters and loading. The results of this study show that the explosive distance parameter (R) has the most effect and the cross-sectional variable of steel (AS) has the least effect on the maximum slab deflection. It has the maximum effect at the time of reaching the maximum deflection.
Keywords
Dynamic Analysis
Reinforced Concrete Slab
Blast load
Deflection
Genetic Algorithm
Response Surface Method
Finite Elements
Stiffness
Subjects

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Journal of Advanced Defense Science & Technology
Volume 13, Issue 4 - Serial Number 50
Autumn
Winter 2023
Pages 239-250

  • Receive Date 13 August 2022
  • Revise Date 19 December 2022
  • Accept Date 15 January 2023
  • Publish Date 01 March 2023