• Khurram Shahzad

Student thesis: Master of Philosophy


The effect of vibration magnitudes on the biodynamic response of the standing human body during exposure to the vibrational magnitude have been investigated. This research report is purely based on the experimental data analysis, including background studying. These experiments were designed and planned by the undergraduate students from school of MACE, University of Manchester whose ethical approval was obtained from school and included in Appendix C of this MPhil report. The author was not involved into experimental work, but intent to perform similar types of experimental work in future on different objectives. The research work involved for the data analysis, was borrowed from supervisor and covered first three objectives of this study. An experimental framework was proposed to create a full human body biomechanical model based on vibration characteristics of different body segments by using commercial inertial motion sensors, Xsens MVN inertial motion capture system. Eight subjects (five males and three female) involved in the experiments exposed to the three-vibration magnitude of 0.5, 1.0 and 1.5m/s2 over the frequency range of 3.0 – 14.0 Hz. Subjects participated in the experiments and were positioned in normal standing posture on top of the experimental Rig without platform railing support and the platform supported on a cantilever beam with 17 sensors were used. The dynamic responses of the body were measured at 23 body segments which include: feet, lower legs, Upper legs, 8th and 12th Thoracic Vertebrae (T8, T12), 3rd and 5th Lumber Vertebrae (L3, L5), Pelvis (the posterior-superior iliac spine), Sternum, right and left shoulders, upper arms, fore arms, hands and head of each subject. Frequency response functions (i.e. transmissibilities and apparent mass) and resonance frequency were used to represent the biodynamic response of the body segments at different locations of the experimental platform (R, L and F). Transmissibility of the subjects each body segment was based on those acceleration data. The response signals from 17 inertial sensors attached to the body segments of the subjects were recorded by using the Wi-Fi. The required number of subjects and experiments are expected to be accomplished by a specific data. With those data, frequency domain spectrum figures can be converted from the time domain through Fast Fourier Transformation (FFT) in Matlab 2017a. Acceleration data was then analysed by using Matlab 2016b codes to develop various response spectrums, the Matlab codes was generated by the undergraduate students.
Date of Award31 Dec 2021
Original languageEnglish
Awarding Institution
  • The University of Manchester
SupervisorTianjian Ji (Supervisor), Parthasarathi Mandal (Supervisor) & Jyoti Sinha (Supervisor)

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