Influence of wind-blown sand content on the mechanical quality state of ballast bed in sandy railways

Yihao Chi , Hong Xiao , Zhihai Zhang , Yang Wang , Zhongxia Qian , Weize Zhao

Railway Engineering Science ›› : 1 -18.

PDF
Railway Engineering Science ›› : 1 -18. DOI: 10.1007/s40534-024-00343-7
Article

Influence of wind-blown sand content on the mechanical quality state of ballast bed in sandy railways

Author information +
History +
PDF

Abstract

During the operation of sandy railways, the challenge posed by wind-blown sand is a persistent issue. An in-depth study on the influence of wind-blown sand content on the macroscopic and microscopic mechanical properties of the ballast bed is of great significance for understanding the potential problems of sandy railways and proposing reasonable and adequate maintenance and repair strategies. Building upon existing research, this study proposes a new assessment indicator for sand content. Utilizing the discrete element method (DEM) and fully considering the complex interactions between ballast and sand particles, three-dimensional (3D) multi-scale analysis models of sandy ballast beds with different wind-blown sand contents are established and validated through field experiments. The effects of varying wind-blown sand content on the microscopic contact distribution and macroscopic mechanical behavior (such as resistance and support stiffness) of ballast beds are carefully analyzed. The results show that with the increase in sand content, the average contact force and coordination number between ballast particles gradually decrease, and the disparity in contact forces between different layers of the ballast bed diminishes. The longitudinal and lateral resistance of the ballast bed initially decreases and then increases, with a critical point at 10% sand content. At 15% sand content, the lateral resistance is mainly shared by the ballast shoulder. The longitudinal resistance sharing ratio is always the largest on the sleeper side, followed by that at the sleeper bottom, and the smallest on the ballast shoulder. When the sand content exceeds 10%, the contribution of sand particles to stiffness significantly increases, leading to an accelerated growth rate of the overall support stiffness of the ballast bed, which is highly detrimental to the long-term service performance of the ballast bed. In conclusion, it is recommended that maintenance and repair operations should be promptly conducted when the sand content of the ballast bed reaches or exceeds 10%.

Cite this article

Download citation ▾
Yihao Chi, Hong Xiao, Zhihai Zhang, Yang Wang, Zhongxia Qian, Weize Zhao. Influence of wind-blown sand content on the mechanical quality state of ballast bed in sandy railways. Railway Engineering Science 1-18 DOI:10.1007/s40534-024-00343-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Indraratna B, Qi Y, Malisetty RS . Recycled materials in railroad substructure: an energy perspective. Railw Eng Sci 2022, 30 3 304-322

[2]

Abadi T, Pen LL, Zervos A . Improving the performance of railway tracks through ballast interventions. Proc Inst Mech Eng Part F: J Rail Rapid Transit 2018, 232 2 337-355

[3]

Zhang Z, Xiao H, Wang M . Research on dynamic mechanical behavior of ballast bed in windblown sand railway based on dimensional analysis. Constr Build Mater 2021, 287 123052

[4]

Gao L, Shi S, Zhong Y . Real-time evaluation of mechanical qualities of ballast bed in railway tamping maintenance. Int J Mech Sci 2023, 248 108192

[5]

Koohmishi M, Palassi M. Degradation of railway ballast under impact loading considering the morphological properties of aggregate. Transp Geotech 2020, 25 100398

[6]

Niu B, Tan L, Zhang XJ . Targeted control of sand hazards for a railway in extremely arid regions using fingerprinting approaches. Geomorphology 2020, 361 107189

[7]

Liu G, Yang F, Wang S . Railway ballast fouling, inspection, and solutions-a review. Proc Inst Mech Eng Part F: J Rail Rapid Transit 2023, 237 8 969-982

[8]

Dierks K (2004) Namibia’s railway system. http://www.klausdierks.com/Namibia_Rail/

[9]

Bruno L, Horvat M, Raffaele L. Windblown sand along railway infrastructures: a review of challenges and mitigation measures. J Wind Eng Ind Aerodyn 2018, 177 340-365

[10]

Zakeri JA, Esmaeili M, Fathali M. Evaluation of humped slab track performance in desert railways. Proc Inst Mech Eng Part F: J Rail Rapid Transit 2011, 225 6 566-573

[11]

Tyfour WR. Predicting the effect of grinding corrugated rail surface on the wear behavior of pearlitic rail steel. Tribol Lett 2008, 29 3 229-234

[12]

Riessberger K (2015) Heavy haul in sand environment. In: IHHA 2015 conference, Perth, pp 1–5

[13]

Kian ART, Zakeri JA, Sadeghi J. Experimental investigation of effects of sand contamination on strain modulus of railway ballast. Geomech Eng 2018, 14 6 563-570

[14]

Carrascal IA, Casado JA, Diego S . Dynamic behaviour of high-speed rail fastenings in the presence of desert sand. Constr Build Mater 2016, 117 220-228

[15]

Kumara J, Hayano K (2013) Model tests on settlement behaviour of ballasts subjected to sand intrusion and tie tamping application. In: Proc. of the 18th International conference on soil mechanics and geotechnical engineering, Paris, pp 1305–1308

[16]

Sadeghi J, Kian ART, Ghiasinejad H . Effectiveness of geogrid reinforcement in improvement of mechanical behavior of sand-contaminated ballast. Geotext Geomembr 2020, 48 6 768-779

[17]

Huang S, Qian Y. Large-scale triaxial testing of geogrid-stabilized field-sourced fouled ballast under simulated progressive rainfall wetting and cyclic loading conditions. Transp Res Rec 2024

[18]

Ebrahimi A, Tinjum JM, Edil TB. Deformational behavior of fouled railway ballast. Can Geotech J 2015, 52 3 344-355

[19]

Danesh A, Palassi M, Mirghasemi AA. Effect of sand and clay fouling on the shear strength of railway ballast for different ballast gradations. Granular Matter 2018, 20 3 51

[20]

Indraratna B, Ngo NT, Rujikiatkamjorn C. Behavior of geogrid-reinforced ballast under various levels of fouling. Geotext Geomembr 2011, 29 3 313-322

[21]

Hussaini SKK, Gundavaram D. Behaviour of coal-fouled elastomeric polyurethane-stabilized ballast under cyclic loading. Proc Inst Mech Eng Part F: J Rail Rapid Transit 2023, 237 7 906-919

[22]

Singh RP, Nimbalkar S, Singh S . Field assessment of railway ballast degradation and mitigation using geotextile. Geotext Geomembr 2020, 48 3 275-283

[23]

Li L, Cheng B, Xiao H . Dynamic mechanical performance of geogrid–waste tyre-reinforced railway ballast under cyclic loading. Constr Build Mater 2024, 411 134470

[24]

Tyfour WR. Effect of moving sand as a ballast contaminant on rail corrugation: field experience. Int J Environ Eng 2014, 6 1 15-28

[25]

Rahman AJ, Parsons RL, Han J (2014) Resistivity and hydraulic conductivity of fouled railroad ballast. In: Geo-Congress 2014: Geo-characterization and Modeling for Sustainability. Atlanta, pp 1406–1414.

[26]

Parsons RL, Rahman AJ, Han J . Track ballast fouling and permeability characterization by using resistivity. Transp Res Rec 2014, 2448 1 133-141

[27]

Ichi E, Dorafshan S. Spectral characterization of fouled railroad ballast using hyperspectral imaging. Constr Build Mater 2023, 394 132076

[28]

Ngo NT, Indraratna B, Rujikiatkamjorn C. DEM simulation of the behaviour of geogrid stabilised ballast fouled with coal. Comput Geotech 2014, 55 224-231

[29]

Ngamkhanong C, Feng B, Tutumluer E . Evaluation of lateral stability of railway tracks due to ballast degradation. Constr Build Mater 2021, 278 122342

[30]

Xiao H, Zhang Z, Cui X . Experimental study and discrete element analysis of ballast bed with various sand content. Constr Build Mater 2021, 271 121869

[31]

Esmaeili M, Zakeri JA, Mosayebi SA. Effect of sand-fouled ballast on train-induced vibration. Int J Pavement Eng 2014, 15 7 635-644

[32]

Kian ART, Sadeghi J, Zakeri JA. Influences of railway ballast sand contamination on loading pattern of pre-stressed concrete sleeper. Constr Build Mater 2020, 233 117324

[33]

Zakeri JA, Esmaeili M, Mosayebi S . Effects of vibration in desert area caused by moving trains. J Modern Transp 2012, 20 1 16-23

[34]

Charoenwong C, Connolly DP, Costa PA . The effect of ballast moisture content and fouling index on railway track settlement. Transp Geotech 2024, 45 101193

[35]

Liang X, Niu X, Liu P . Test on fouling detection of ballast based on infrared thermography. NDT E Int 2023, 140 102956

[36]

Li B, Peng Z, Wang S . Identification of ballast fouling status and mechanized cleaning efficiency using FDTD method. Remote Sensing 2023, 15 13 3437

[37]

Gong Y, Qian Y. Predicting ballast fouling conditions through RGB-based statistical quantity analysis. Transp Res Rec 2024, 2678 2 153-166

[38]

Koohmishi M, Guo Y. Data-driven clay-fouled ballast permeability assessment using analytical-numerical and machine learning approaches. Transp Geotech 2023, 43 101151

[39]

Danesh A, Mirghasemi AA, Palassi M. Evaluation of particle shape on direct shear mechanical behavior of ballast assembly using discrete element method (DEM). Transp Geotech 2020, 23 100357

[40]

Sun Y, Zheng C. Breakage and shape analysis of ballast aggregates with different size distributions. Particuology 2017, 35 84-92

[41]

Xiao Y, Jiang Y, Tan P . Investigating morphology and breakage evolution characteristics of railroad ballasts over distinct supports subjected to impact loading. Materials 2022, 15 18 6295

[42]

Guo Y, Zhao C, Markine V . Discrete element modelling of railway ballast performance considering particle shape and rolling resistance. Railw Eng Sci 2020, 28 4 382-407

[43]

Wang Y, Xiao H, Ling X . 2D ballast particle contour generation based on the random midpoint displacement algorithm. Comput Part Mech 2023, 10 4 729-745

[44]

Lim WL, McDowell GR. Discrete element modelling of railway ballast. Granul Matter 2005, 7 1 19-29

[45]

Lu M, McDowell GR. The importance of modelling ballast particle shape in the discrete element method. Granul Matter 2007, 9 1 69-80

[46]

National Railway Administration of the People’s Republic of China (2008) Railway ballast. TB/T 2140-2008. China Railway Publishing House, Beijing

[47]

Wang HL, Cui YJ, Lamas-Lopez F . Investigation on the mechanical behavior of track-bed materials at various contents of coarse grains. Constr Build Mater 2018, 164 228-237

[48]

Widulinski L, Kozicki J, Tejchman J. Numerical simulations of triaxial test with sand using DEM. Arch Hydro-Eng Environ Mech 2009, 56 3–4 149-172

[49]

Ahmadi H, Sizkow SF. Numerical analysis of ground improvement effects on dynamic settlement of uniform sand using DEM. SN Appl Sci 2020, 2 4 689

[50]

Iai S, Tobita T, Nakahara T. Generalised scaling relations for dynamic centrifuge tests. Geotechnique 2005, 55 5 355-362

[51]

Zhao T, Feng Y. Exact scaling laws and coarse-grained discrete element modelling of large scale granular systems. Chin J Comput Mech 2022, 39 3 365-372

[52]

Feldman F, Nissen D (2002) Alternative testing method for the measurement of ballast fouling: percentage void contamination. In: CORE 2002, cost efficient railways through engineering, conference on railway engineering. Wollongong, pp 101–111.

[53]

Luo Z, Zhao C, Bian X . Discrete element analysis of geogrid-stabilized ballasted tracks under high-speed train moving loads. Comput Geotech 2023, 159 105451

[54]

Amadi AH, Mohyaldinn M, Abduljabbar A . Wear analysis of NiTi sand screens using Altair discrete element method. Materials 2024, 17 2 281

[55]

Hertz H. On the contact of elastic solids. J Reine Angew Math 1882, 92 156-171

[56]

Mindlin RD, Deresiewicz H (1954) Timoshenko’s shear coefficient for flexural vibrations of beams. In: Proceedings of the Second US national congress of applied mechanics. 1954, Ann Arbor, pp 175–178

[57]

Sakaguchi H, Ozaki E, Igarashi T. Plugging of the flow of granular materials during the discharge from a silo. Int J Modern Phys B 1993, 7 09n10 1949-1963

[58]

Tsuji Y, Tanaka T, Ishida T. Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol 1992, 71 3 239-250

[59]

Kumara JJ, Hayano K. Importance of particle shape on stress-strain behaviour of crushed stone-sand mixtures. Geomech Eng 2016, 10 4 455-470

[60]

Fu L, Zheng Y, Qiu Y . Inconsistent effect of dynamic load waveform on macro-and micro-scale responses of ballast bed characterized in individual cycle: a numerical study. Railw Eng Sci 2023, 31 4 370-380

[61]

Peng Y, Yin Z, Ding X. Analysis of particle corner-breakage effect on pile penetration in coral sand: model tests and DEM simulations. Can Geotech J 2022, 60 5 749-765

[62]

Li T, Xie K, Chen X . Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes. Railw Eng Sci 2023, 32 2 194-210

[63]

De Iorio A, Grasso M, Penta F . Transverse strength of railway tracks: part 2. Test system for ballast resistance in line measurement. Frattura ed Integrità Strutturale 2014, 8 30 578-592

[64]

Bian X, Li W, Qian Y . Analysing the effect of principal stress rotation on railway track settlement by discrete element method. Géotechnique 2020, 70 9 803-821

[65]

Geng J, Reydellet G, Clément E . Green’s function measurements of force transmission in 2D granular materials. Physica D 2003, 182 3–4 274-303

[66]

Hou W, Li A, Song W. Discrete element analysis of shape effect on the shear behaviors of ballast. Sci Rep 2023, 13 1 14810

[67]

Le Pen LM, Powrie W. Contribution of base, crib, and shoulder ballast to the lateral sliding resistance of railway track: a geotechnical perspective. Proc Inst Mech Eng Part F: J Rail Rapid Transit 2011, 225 2 113-128

[68]

Ling X, Xiao H, Cui X. Analysis of mechanical properties of polyurethane-mixed ballast based on energy method. Constr Build Mater 2018, 182 10-19

[69]

Gallou M, Frost M, Hamalawi A et al. The application of track deflection measurements made by video gauge. Proc Inst Civ Eng Transp 173(4): 245–257

Funding

-the National Natural Science Foundation of China(52372425)

the Fundamental Research Funds for the Central Universities (Science and technology leading talent team project)(2022JBXT010)

AI Summary AI Mindmap
PDF

206

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/