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Purpose <p>In order to reduce the seismic risks and improve structural resilience, it is essential to understand the dynamic interaction between overhead tanks and buildings. Comprehensive analyses of the seismic effects of overhead tanks under various parameter lacks from the existing literature. In order to fill this gap, this study examines important variables that affect seismic effect and optimizes building stability parameters to improve structure survivability during earthquakes.</p> Methods <p>This study examines parameters, building characteristics, tank properties, and seismic effects. This study uses ANSYS for numerical simulations and Response Surface Methodology (RSM) with a Box-Behnken Design (BBD) for experimental design. Optimal structure parameters are proposed by applying a range of optimization approaches, including Random Forest based Genetic Algorithm (RF-GA), Variable Velocity Strategy based Sand Cat Swarm Optimization (VVS-SCSO), and Recurrent Neural Network based Harmony Search Algorithm (RNN-HS).</p> Results <p>Optimal configurations for various building setups are determined through ANOVA results and fit statistics. Seismic response parameters vary significantly based on building and tank configurations. Findings indicate that, building with 4DLT and a water content of 50% obtained as the optimal configuration. In terms of predicting structural response parameters, the Hybrid VVS-SCSO model shows high accuracy and consistency.</p> Conclusion <p>Through the examination of key variables, this study aims to determine the seismic impact of overhead tanks during earthquakes. Both experimental and modeling approaches were employed, utilizing RSM-BBD for experimental design and ANSYS for numerical simulations. Time period, maximum roof displacement, base shear, and sloshing frequency were considered to optimize building stability parameters.</p>

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Analysis and Optimization of Free Vibrations and Sloshing Effects of Structures with Water Tanks during Seismic Resilience based on Hybrid Neural Networks

  • 期刊论文

  • 发表日期：

    2025年1月20日

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  • Yugandhara Kasture,
  • S. Sangita Mishra,
  • Sunil M. Rangari,
  • Vedprakash Maralapalle

摘要

Purpose

In order to reduce the seismic risks and improve structural resilience, it is essential to understand the dynamic interaction between overhead tanks and buildings. Comprehensive analyses of the seismic effects of overhead tanks under various parameter lacks from the existing literature. In order to fill this gap, this study examines important variables that affect seismic effect and optimizes building stability parameters to improve structure survivability during earthquakes.

Methods

This study examines parameters, building characteristics, tank properties, and seismic effects. This study uses ANSYS for numerical simulations and Response Surface Methodology (RSM) with a Box-Behnken Design (BBD) for experimental design. Optimal structure parameters are proposed by applying a range of optimization approaches, including Random Forest based Genetic Algorithm (RF-GA), Variable Velocity Strategy based Sand Cat Swarm Optimization (VVS-SCSO), and Recurrent Neural Network based Harmony Search Algorithm (RNN-HS).

Results

Optimal configurations for various building setups are determined through ANOVA results and fit statistics. Seismic response parameters vary significantly based on building and tank configurations. Findings indicate that, building with 4DLT and a water content of 50% obtained as the optimal configuration. In terms of predicting structural response parameters, the Hybrid VVS-SCSO model shows high accuracy and consistency.

Conclusion

Through the examination of key variables, this study aims to determine the seismic impact of overhead tanks during earthquakes. Both experimental and modeling approaches were employed, utilizing RSM-BBD for experimental design and ANSYS for numerical simulations. Time period, maximum roof displacement, base shear, and sloshing frequency were considered to optimize building stability parameters.