Vehicle model dynamic analysis under random excitation of uneven pavement as measured by the international roughness index
Email:
quanhv_ph@utc.edu.vn
Keywords:
road surface roughness, dynamic load, IRI index, impact factor, dynamic load coefficient
Abstract
Current Vietnamese standards state that when being calculated and designed, pavement structures must be able to withstand static loads of a constant magnitude. However, the road surface is uneven, and the wheel load varies according to how rough the actual surface is. In this study, an analytical method is used to perform a dynamic analysis of a quarter-car model excited by a rough road surface. According to the international roughness index (IRI), an artificial harmonic function can be used to describe the roughness of a road surface. The paper will examine three widely used vehicle types that are frequently seen on the road (cars, buses, and trucks). The numerical analysis of the vibration equations in the quarter-car model is simulated using the Matlab-Simulink software. The analysis results are the impact factors and the dynamic load coefficients, where the dynamic loads consequently vary depending on the IRI value and the vehicle speedReferences
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[2]. N.H. Thảo (2012), Mô phỏng khảo sát dao động ô tô vận tải hành khách bằng Matlab-Simulink, Luận văn thạc sĩ kỹ thuật, Đại học Đà Nẵng.
[3]. O. Kaya, H.Ceylan, S. Kim, D. Waid, B.P. Moore, Statistics and artificial intelligence-based pavement performance and remaining service life prediction models for flexible and composite pavement systems. Transportation Research Record, 2674 (2020) 448-460. https://doi.org/10.1177/0361198120915889
[4]. A. Sidess, A. Ravina, E. Oged, A model for predicting the deterioration of the international roughness index. International Journal of Pavement Engineering, 23 (2022) 1393-1403. https://doi.org/10.1080/10298436.2020.1804062
[5]. L. Sun, An overview of a unified theory of dynamics of vehicle–pavement interaction under moving and stochastic load, J. Mod. Transport. 21 (2013) 135–162. https://doi.org/10.1007/s40534-013-0017-8
[6]. International Organisation of Standardisation. ISO 8608:2016 Mechanical vibration – Road surface profles–Reporting of measured data. Geneva, Switzerland.
[7]. M. Peter, Road waviness and the dynamic tyre force, International Journal of Vehicle Design, 36 (2004) 216–232. https://doi.org/10.1504/IJVD.2004.005357
[8]. M. Agostinacchio, D. Ciampa, S. Olita, The vibrations induced by surface irregularities in road pavements–a Matlab® approach, Eur. Transp. Res. Rev., 6 (2014) 267–275. https://doi.org/10.1007/s12544-013-0127-8
[9]. V.T. Đạt, Nghiên cứu phương pháp mô phỏng mấp mô mặt đường trên miền thời gian, Tạp chí Khoa học công nghệ xây dựng, 4 (2017) 123-128.
[10]. H.H.H. Đăng, Đ.T. Sơn, T.M. Hoàng, Đánh giá dao động của xe tải nhỏ dưới kích động của mấp mô mặt đường theo tiêu chuẩn ISO, Tạp chí Cơ khí Việt Nam, 4 (2017) 94-99.
[11]. T.M. Hoàng, N.T. Dũng, T.P. Hòa, Độ bền của khung xe tải nhỏ dưới kích động của mấp mô mặt đường theo tiêu chuẩn ISO, Hội nghị Khoa học và Công nghệ toàn quốc về Cơ khí lần thứ V, 1 (2018) 1-6.
[12]. K. Ma, Y. Zhang, X. Zhen, Simulation of pavement random excitation based on harmonic superposition method, International Journal of Scientific Advances, 2 (2021) 282-285. http://dx.doi.org/10.51542/ijscia.v2i3.9
[13]. P. Liu, V. Ravee, D. Wang, M. Oeser, Study of the influence of pavement unevenness on the mechanical response of asphalt pavement by means of the finite element method, Journal of Traffic and Transportation Engineering, 5 (2018) 169-180. https://doi.org/10.1016/j.jtte.2017.12.001
[14]. Y. Lu, S. Yang, S. Li, L. Chen, Numerical and experimental investigation on stochastic dynamic load of a heavy duty vehicle, Applied Mathematical Modelling, 34 (2010) 2698–2710. https://doi.org/10.1016/j.apm.2009.12.006
[15]. H.M. Ngwangwa, P.S. Heyns, H.G.A. Breytenbach, P.S. Els, Reconstruction of road defects and road roughness classification using artificial neural networks simulation and vehicle dynamic responses: application to experimental data, Journal of Terramechanics, 53 (2014) 1-18. https://doi.org/10.1016/j.jterra.2014.03.002
[16]. Tiêu chuẩn Quốc gia TCVN 8865:2011, Mặt đường ô tô-phương pháp đo và đánh giá xác định độ bằng phẳng theo chỉ số độ gồ ghề quốc tế IRI.
[17]. A. Loizos, C. Plati, An alternative approach to pavement roughness evaluation, International Journal of Pavement Engineering, 9 (2008) 69–78. https://doi.org/10.1080/10298430600949894
[18]. F. Han, H. Wang, D.H. Dan, Dynamic response of a bridge deck pavement, In Proceedings of the Institution of Civil Engineers-Transport, 172 (2019) 221-232. https://doi.org/10.1680/jtran.17.00009
[19]. W.S. Michael, On the calculation of international roughness index from longitudinal road profile, Transportation research record 1501, University of Michigan Transportation Research Institute.
[20]. Z. Ye, Y. Miao, W. Zhang, L. Wang, Effects of random non-uniform load on asphalt pavement dynamic response, International Journal of Pavement Research and Technology, 14 (2021) 299-308. https://doi.org/10.1007/s42947-020-0147-0
[21]. R. Buhari, M.M. Rohani, M.E. Abdullah, Dynamic load coefficient of tyre forces from truck axles. In Applied Mechanics and Materials, 405 (2013) 1900-1911. https://doi.org/10.4028/www.scientific.net/AMM.405-408.1900
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Received
11/04/2023
Revised
25/07/2023
Accepted
31/07/2023
Published
15/10/2023
Type
Research Article
How to Cite
Huỳnh Văn, Q., Trần Mạnh, C., & Lê Văn, P. (1697302800). Vehicle model dynamic analysis under random excitation of uneven pavement as measured by the international roughness index. Transport and Communications Science Journal, 74(8), 866-880. https://doi.org/10.47869/tcsj.74.8.2
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