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The present study uses a computationally efficient optimization algorithm to determine the optimal location and the number of sensors for state estimation. A ten-storey shear building frame located in Surat city having magnetorheological (MR) damper at the first, second and third floors is considered in the study. The building frame is subjected to response spectrum-compatible ground motion time histories generated using SeismoArtif software. The far-field and near-field earthquakes ground motions are generated considering different soil conditions, namely class A, B, and C for seismic zone III as per IS 1893:2016 (Part-I). The Linear Quadratic Gaussian (LQG) controller along with clipped optimal control algorithm is employed for generating the MR damper force. The study results show that the optimized number of sensors remains the same for the earthquake considered in this study. Further, the optimized location of sensors varies with the earthquake.

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Optimal Sensor Placement for Building Equipped with MR Dampers

  • 会议论文

  • 发表日期：

    2025年

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  • Kishan Pandav,
  • Rahul Chaudhary,
  • Vishisht Bhaiya,
  • Gajbhiye Param

摘要

The present study uses a computationally efficient optimization algorithm to determine the optimal location and the number of sensors for state estimation. A ten-storey shear building frame located in Surat city having magnetorheological (MR) damper at the first, second and third floors is considered in the study. The building frame is subjected to response spectrum-compatible ground motion time histories generated using SeismoArtif software. The far-field and near-field earthquakes ground motions are generated considering different soil conditions, namely class A, B, and C for seismic zone III as per IS 1893:2016 (Part-I). The Linear Quadratic Gaussian (LQG) controller along with clipped optimal control algorithm is employed for generating the MR damper force. The study results show that the optimized number of sensors remains the same for the earthquake considered in this study. Further, the optimized location of sensors varies with the earthquake.