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| Prediction the Biodynamic Response of the Seated Human Body using Artificial Intelligence Technique
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Full
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Complete Issue PDF(3.61MB) |
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Volume: 4 Issue: 6 |
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Pages: 463-506 |
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Publication
Date: January / February |
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ISSN
(Online): 1985-2312 |
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Pages |
491 - 506 |
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Author(s) |
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Published
Date |
08-02-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Biodynamic response, Analytic seated human body model, Numerical simulation ,model, Artificial neural network |
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| 2. Libsearch |
| 3. Directory of Open Access Journals (DOAJ) |
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| 6. iSEEK |
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| The biodynamic response behaviors of seated human body subject to whole-body vibration have been widely investigated. The biodynamic response characteristics of seated human subjects have been extensively reported in terms of apparent mass and driving-point mechanical impedance while seat-to-head vibration transmissibility has been widely used to characterize response behavior of the seated subjects exposed to vibration. These functions (apparent mass, driving-point mechanical impedance) describe “to-the-body” force–motion relationship at the human–seat interface, while the transmissibility function describes “through-the-body” vibration transmission properties. The current study proposed a 4-DOF analytic biomechanical model of the human body in a sitting posture without backrest in vertical vibration direction to investigate the biodynamic responses of different masses and stiffness. Following the analytical approach, numerical technique developed in the present paper to facilitate and rapid the analysis. The numerical analysis used here applies one of the artificial intelligence technique to simulate and predict the response behaviors of seated human body for different masses and stiffness without the need to go through the analytic solution every time. The Artificial Neural Network (ANN) technique is introduced in the current study to predict the response behaviors for different masses and stiffness rather than those used in the analytic solution. The results of the numerical study showed that the ANN method with less effort was very efficiently capable of simulating and predicting the response behaviors of seated human body subject to whole-body vibration. |
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tooklooks
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| Mostafa Abdeen : Colleagues
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| Wael Abbas : Colleagues
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