Journal of Theoretical and Applied Vibration and Acoustics

Journal of Theoretical and Applied Vibration and Acoustics

PSO-Based reciprocal force generation for structural resonance via stepper motor and accelerometer feedback

Document Type : H. Ahmadian Prize

Authors
1 Ph.D. Student, Civil Engineering Department, Shahid Rajaee Teacher Training University, Tehran, IRAN
2 Full Professor of Structural Engineering, Civil Engineering Department, Shahid Rajaee Teacher Training University, Tehran, IRAN
3 Assistant Professor, Jundi-Shapur University of Technology, Dezful, IRAN
10.22064/tava.2025.2042737.1252
Abstract
This study presents a device designed to induce and optimize structural resonance using a Raspberry Pi, an ADXL345 accelerometer, and a stepper motor controlled by a Particle Swarm Optimization (PSO) algorithm. The device generates vibrations through a reciprocating force applied by the stepper motor to a mass, aiming to resonate with the natural frequencies of the structure. Experimental results demonstrate a significant amplification of acceleration in the X direction as the optimization process progresses, confirming the achievement of structural resonance. The PSO algorithm effectively optimized the motor speed, allowing the system to self-adjust to the structure's dynamic characteristics without requiring detailed prior knowledge of the structure. The results indicate the system's potential for applications in structural health monitoring (SHM), non-destructive testing (NDT), and active vibration control. By providing an adaptable and efficient method for exciting and detecting resonance, this study offers valuable insights into structural dynamics and vibration analysis. Future research will focus on enhancing the device’s functionality and expanding its application to various structural systems, thereby contributing to the development of safer and more resilient infrastructures.

Highlights

  • A device is designed to resonate with structures using a stepper motor and sensors.
  • A PSO is used to optimize motor delay, amplifying target frequency in 10 iterations.
  • Resonance is achieved without prior dynamic data, showing real-time adaptability.
  • A low-cost solution is introduced for structural health monitoring and vibration control.

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