A case study on scenario-based optimization for axle load survey data selection for flexible pavement design in Vietnam
Email:
lexuanquy@utc.edu.vn
Từ khóa:
pavement structure, scenario-based, optimization, axle load, pavement design
Tóm tắt
The unique traffic patterns in Vietnam, characterized by a mix of vehicle types, axle configurations, and overloading, pose challenges to current flexible pavement design methods. This study investigates how selecting different vehicle axle load survey data scenarios impacts the accuracy of pavement design and rehabilitation for roads in Vietnam. Evaluation of various data selection methods and their influence on pavement response using the current flexible pavement calculation procedure in Vietnam. By comparing the pavement design criteria calculated under each scenario, this research aims to provide clear guidelines for engineers choosing appropriate axle load data for pavement design. This, in turn, will lead to the design and maintenance of more durable and sustainable pavements, ultimately promoting a more efficient and resilient transportation infrastructure in Vietnam. The research approach involves analyzing various axle load survey data scenarios, including those representing typical traffic conditions, overloaded vehicles, and specific vehicle types. The calculated pavement responses under each scenario are then compared to assess the impact of data selection on design outcomes. This study's findings are expected to provide valuable insights for pavement engineers in Vietnam, enabling them to select appropriate axle load data for accurate pavement design and rehabilitation. This will contribute to building more durable and sustainable road infrastructure, resulting in a more efficient and resilient transportation networkTài liệu tham khảo
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[6]. S. Wood, J. D. Regehr, Hierarchical methodology to evaluate the quality of disparate axle load data sources for pavement design, Journal of Traffic and Transportation Engineering (English Edition), 9 (2022) 261–279 . https://doi.org/10.1016/j.jtte.2021.02.005.
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[8]. S. Ahn, S. Kandala, J. Uzan, M. El-Basyouny, Impact of Traffic Data on the Pavement Distress Predictions using the Mechanistic Empirical Pavement Design Guide, Road Materials and Pavement Design, 12 (2011) 195–216 . https://doi.org/10.1080/14680629.2011.9690359.
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[11]. H. K. Salama, K. Chatti, R. W. Lyles, Effect of Heavy Multiple Axle Trucks on Flexible Pavement Damage Using In-Service Pavement Performance Data, J. Transp. Eng, 132 (2006) 763–770 https://doi.org/10.1061/(ASCE)0733-947X(2006)132:10(763).
[12]. Ministry of Transport of Vietnam, Flexible pavement - Requirements and design guidelines (22 TCN 211-06), 2006.
[13]. JICA, Forecasting transportation demand on expressways, the North-South Expressway construction project, 2010.
[2]. W. Jiang, W. Wang, Z. Song, C. Jiang, C. Zhang, Y. Yuan, Equivalent Standard Axle Load Analysis Considering Dynamic Load Based on Vehicle Axle-Tire Vertical Acceleration Field Testing, In: Yang, Y. (ed.) Advances in Frontier Research on Engineering Structures, Springer Nature Singapore, Singapore, (2023) 325–335. https://doi.org/10.1007/978-981-19-8657-4_29.
[3]. K. Bayraktarova, L. Eberhardsteiner, C. Aichinger, R. Spielhofer, R. Blab, Design life of rigid pavements under dynamic wheel loads, Road Materials and Pavement Design, 24 (2023) 2263–2279 . https://doi.org/10.1080/14680629.2022.2136579.
[4]. D. Rys, P. Burnos, Study on the accuracy of axle load spectra used for pavement design. International Journal of Pavement Engineering, 23 (2022) 3706–3715
https://doi.org/10.1080/10298436.2021.1915492.
[5]. L. G. Fuentes, L. F. Macea, A. Vergara, G. W. Flintsch, A. E. Alvarez, O. J. Reyes, Evaluation of Truck Factors for Pavement Design in Developing Countries, Procedia - Social and Behavioral Sciences, 53 (2012) 1139–1148 https://doi.org/10.1016/j.sbspro.2012.09.963.
[6]. S. Wood, J. D. Regehr, Hierarchical methodology to evaluate the quality of disparate axle load data sources for pavement design, Journal of Traffic and Transportation Engineering (English Edition), 9 (2022) 261–279 . https://doi.org/10.1016/j.jtte.2021.02.005.
[7]. W. A. Bunnell, H. Li, M. Reed, T. Wells, D. Harris, M. Antich, S. Harney, D. M. Bullock, Implementation of Weigh-in-Motion Data Quality Control and Real-Time Dashboard Development, Purdue University, (2019). https://doi.org/10.5703/1288284316731.
[8]. S. Ahn, S. Kandala, J. Uzan, M. El-Basyouny, Impact of Traffic Data on the Pavement Distress Predictions using the Mechanistic Empirical Pavement Design Guide, Road Materials and Pavement Design, 12 (2011) 195–216 . https://doi.org/10.1080/14680629.2011.9690359.
[9]. DRVN, Flexible Pavement Design - Specification and Guidelines (TCCS 38:2022/TCĐBVN), 2022.
[10]. F. Wang, R. B. Machemehl, Mechanistic–Empirical Study of Effects of Truck Tire Pressure on Pavement, Measured Tire–Pavement Contact Stress Data, Transportation Research Record, 1947 (2006) 136–145 . https://doi.org/10.1177/0361198106194700113.
[11]. H. K. Salama, K. Chatti, R. W. Lyles, Effect of Heavy Multiple Axle Trucks on Flexible Pavement Damage Using In-Service Pavement Performance Data, J. Transp. Eng, 132 (2006) 763–770 https://doi.org/10.1061/(ASCE)0733-947X(2006)132:10(763).
[12]. Ministry of Transport of Vietnam, Flexible pavement - Requirements and design guidelines (22 TCN 211-06), 2006.
[13]. JICA, Forecasting transportation demand on expressways, the North-South Expressway construction project, 2010.
Tải xuống
Chưa có dữ liệu thống kê
Nhận bài
04/04/2024
Nhận bài sửa
07/05/2024
Chấp nhận đăng
09/05/2024
Xuất bản
15/05/2024
Chuyên mục
Công trình khoa học
Kiểu trích dẫn
Le Xuan, Q., Chu Tien, D., & Vu Tuan, A. (1715706000). A case study on scenario-based optimization for axle load survey data selection for flexible pavement design in Vietnam. Tạp Chí Khoa Học Giao Thông Vận Tải, 75(4), 1555-1566. https://doi.org/10.47869/tcsj.75.4.7
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92
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62
