A Literature Review on Observation of the Pedestrian Step Forces

Article Preview

Abstract:

Pedestrian step forces is an important factor in the design of long-span structures. Studies have shown that walking forces is closely related to those motion characteristics including step frequency, step length, step width, walking velocity and so on. Furthermore, the motion characteristics were observed significantly influenced by walking environment which brings many uncertainties and difficulties in studying the pedestrian forces. A comparison study of the existing observation methods including the traditional direct force measurement and the latest contemporary visual motion tracking system experiment is carried out. The results show each method has its unique advantages and disadvantages. There still have no comprehensive experimental observation method to establish load model with high reliability in the structural design and vibration control. Therefore, experimental study on walking force still has a larger space for development.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

43-49

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhengqing Chen, Xugang Hua, Vibration and Dynamic Design of Footbridge, China Communications Press, 41-42.

Google Scholar

[2] Andriacchi T.P., Ogle J. A and Galante J.O. Walking speed as a basis for normal and abnormal gait measurement Journal of Biomechanics. 1977, 10: 261-268.

DOI: 10.1016/0021-9290(77)90049-5

Google Scholar

[3] Zoltowski K. Dynamic analysis of pedestrian bridges with pedestrian bridges with FEM and CFD [J]. SoFiStik Seminar Lectures, (2005).

Google Scholar

[4] Nakamura S., Kawasaki T., Katsuura H. et. al. Experiment studies on lateral forces induced by pedestrians [J]. Journal of Constructional Steel Research, 2008, 64: 247-252.

DOI: 10.1016/j.jcsr.2007.05.011

Google Scholar

[5] Fiammetta V., Luca B. An interpretative model of the pedestrian fundamental relation [J]. Competes Rendus Mecanique, 2007: 194-200.

Google Scholar

[6] Jingguang Qian, Yawei Song, Biomechanics principle of walking and gait analysis,  Journal of Nanjing Sport Institute, fifth volume fourth issue, 2006. 12.

Google Scholar

[7] Galbraith F, Barton M. Ground loading from footsteps. Journal of the Acoustic Society of America, 1970, 48(5); 1288-1292.

DOI: 10.1121/1.1912271

Google Scholar

[8] Arnaud Faivrea, Marc Dahan, Bernard Parratte, Guy Monnier, Instrumented shoes for pathological gait assessment. Mechanics Research Communications. September- October 2004, Pages 627–632.

DOI: 10.1016/j.mechrescom.2003.10.008

Google Scholar

[9] Christian Liedtke, Steven A.W. Fokkenrood, Jasper T. Menger, Herman van der Kooij, Peter H. Veltink, Evaluation of instrumented shoes for ambulatory assessment of ground reaction forces. Gait & Posture 26 (2007) 39–47.

DOI: 10.1016/j.gaitpost.2006.07.017

Google Scholar

[10] Zheng X., Brownjohn, J.M.W. Modelling and simulation of human-floor system under vertical vibration [C], in: Proceedings of SPIE, Smart Structures and Materials, Vol. 4327, March 5–8, Newport Beach, CA, USA, 2001, 513–520.

DOI: 10.1117/12.436586

Google Scholar

[11] Haoxiang He, Weiming Yan, Ailin Zhang. Dynamic interaction between human and beam-slab structures under human walking excitation [M]. vibration and shock, 2008: 130-133.

Google Scholar

[12] Quan Li, Jiansheng Fan, Jianguo Nie. Vibration response analysis of long-span footbridge to random walking loads generated by crowds [J] . 2010 (5) : 32-37.

Google Scholar

[13] Bierlaire M., Antonini G. and Weber M. Behavioral dynamics for [C]. International Conference on Travel Behaviour Research, Lucerne, 2003: 1-20.

Google Scholar

[14] Helbing D., Farkas I., Vicsek T. Simulating dynamical characteristics of escape panic [J]. Nature 407, 2000: 487-489.

DOI: 10.1038/35035023

Google Scholar

[15] Weicheng Fan, Junhua Sun, Shouxiang Lu. Fire risk assessment methodology [M]. Beijing: Science Press, 2004. 300-320.

Google Scholar

[16] Lizhong Yang, Weifeng Fang, Rui Huang, Zhihua Deng. The escape model in fire based on cellular automata [J]. Chinese Science Bulletin, 2002(12): 896-901.

Google Scholar

[17] Quqiang Hu, Study of Crowd Load Model Based on Pedestrian Flow Simulation, Yunnan: A Dissertation Presented to Kunming University of Science and Technology for Master Degree of Engineering, 3-8.

Google Scholar

[18] Victor J. B., Jerey L. A. Cellular automata microsimulation for modeling bi-directional pedestrian walkways [J]. Transportation Research Part B, 35 (2001) : 293-312.

DOI: 10.1016/s0191-2615(99)00052-1

Google Scholar

[19] Burstedde C., Klauck K., Schadschneider A., Zittartz J. Simulation of pedestrian dynamics using a two-dimensional cellular automaton [J]. Physica A 295 (2001): 507–525.

DOI: 10.1016/s0378-4371(01)00141-8

Google Scholar

[20] Daniel R. P., Marcelo G., Herman M. A modification of the Social Force Model can reproduce experiment data of pedestrian flows in normal conditions [J]. Physica A 388 (2009): 3600-3608.

DOI: 10.1016/j.physa.2009.05.027

Google Scholar

[21] Huaguang Zhao, Yanyan Chen, Guangxia Che, Xue Geng. Study on pedestrian traffic characteristics of large race walking [J]. Road Traffic & Safety, 2006, 6(2): 19-21.

Google Scholar

[22] Xiaoming Liu, Yanyan Chen, Zhiqiang An. Pilot Studying of Pedestrian Traffic Management for Beijing Olympic Games [J]. Urban Planning Overseas, 2004, l: 46-48.

Google Scholar