Analysis of snow removal performance for highway snow plow blade based on co-simulation of ANSYS/LS-DYNA and Rocky DEM

doi:10.3785/j.issn.1006-754X.2026.05.196

Chinese Journal of Engineering Design

2026, Vol. 33

Issue (2): 285-301 DOI: 10.3785/j.issn.1006-754X.2026.05.196

Reliability and Quality Design

Analysis of snow removal performance for highway snow plow blade based on co-simulation of ANSYS/LS-DYNA and Rocky DEM

Chenglin KONG¹(

),Ming ZHAO¹,Jia'nan DU¹,Yangcheng GUO¹,Rui FAN¹,Hongshan WU²,Xiangdong LIU¹(

)

^1.School of Mechanical Engineering, Jiamusi University, Jiamusi 154000, China
^2.Jiamusi Shanyou Machinery Technology Co. , Ltd. , Jiamusi 154000, China

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Abstract

Aiming at the problems of low snow removal efficiency, slow operating speed and inability to throw snow beyond guardrails of the existing highway snow removal equipment, a theoretical model of the high-speed snow removal operation for the snow plow blade is established, and the working parameters during the operation are optimized and analyzed based on the explicit dynamics and discrete element method. Firstly, a simplified snow removal model of the snow plow blade was built using SolidWorks software, and explicit dynamics simulation and discrete element simulation were carried out by ANSYS/LS-DYNA and Rocky DEM softwares to simulate the crushing and throwing of snow by the snow plow blade. The equivalent stress, throwing height and throwing displacement of the snow were obtained. Subsequently, the theoretical analysis and simulation results were fitted and converted into visualized results by MATLAB software, from which the optimal ranges of cutting angle, travel angle and travel speed of the snow plow blade when removing snow were obtained. The simulation results showed that the optimal cutting angle range of the snow plow blade was 35°-36°, the optimal travel angle range was 51°-52° and the optimal travel speed range was 28-29 m/s. Simulated operations under these conditions yielded a minimum snow throwing height of 1.360 m and a minimum snow throwing displacement of 11.700 m, which were 0.160 m and 1.490 m higher than the pre-optimization values, respectively, meeting the industry standards for snow throwing of the snow plow blade. Finally, the response surfaces were obtained by fitting the snow removal test data of the snow plow blade with Design-Expert software, and it was observed that the pairwise interactions among the cutting angle, travel angle and travel speed were significant. To achieve better snow removal effect, a parameter combination of cutting angle of 36°, travel angle of 52° and travel speed of 28.5 m/s was selected for the snow removal test. The test results showed that the snow throwing height of the snow plow blade was 1.450 m and the snow throwing displacement was 12.600 m, which met the requirements of highway snow removal and verified the reliability of the theoretical analysis and simulation results. The research results provide a reference for the optimization design of the structural parameters of highway snow plow blades.

Key words： snow plow blade explicit dynamics discrete element method co-simulation response surface methodology

Received: 20 September 2025 Published: 28 April 2026

CLC:

TH 128

Corresponding Authors: Xiangdong LIU E-mail: 2670920253@qq.com;2607635711@qq.com

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	Chenglin KONG
	Ming ZHAO
	Jia'nan DU
	Yangcheng GUO
	Rui FAN
	Hongshan WU
	Xiangdong LIU

Cite this article:

Chenglin KONG,Ming ZHAO,Jia'nan DU,Yangcheng GUO,Rui FAN,Hongshan WU,Xiangdong LIU. Analysis of snow removal performance for highway snow plow blade based on co-simulation of ANSYS/LS-DYNA and Rocky DEM. Chinese Journal of Engineering Design, 2026, 33(2): 285-301.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2026.05.196 OR https://www.zjujournals.com/gcsjxb/Y2026/V33/I2/285

基于ANSYS/LS-DYNA与Rocky DEM联合仿真的高速公路清雪铲除雪性能分析

针对现有高速公路清雪设备除雪效率低、作业时速慢及无法将积雪抛离至护栏外等问题，建立了清雪铲高速除雪作业的理论模型，并基于显式动力学和离散单元法对其作业过程中的工作参数进行了优化分析。首先，利用SolidWorks软件建立了简化的清雪铲除雪模型，并分别利用ANSYS/LS-DYNA和Rocky DEM软件进行了显式动力学仿真和离散元仿真，模拟清雪铲对积雪的破碎和抛移过程，得到了积雪的等效应力、抛雪高度及抛雪位移。随后，通过MATLAB软件对理论分析结果和仿真结果进行拟合并转化为可视化结果，得到了清雪铲除雪时的切削角、行进角和行进速度的最优区间。仿真结果表明，清雪铲的最优切削角区间为35°~36°，最优行进角区间为51°~52°，最优行进速度区间为28~29 m/s，其在该条件下模拟作业时的最小抛雪高度为1.360 m，最小抛雪位移为11.700 m，较优化前分别提高了0.160 m和1.490 m，达到了清雪铲抛雪的行业标准。最后，利用Design-Expert软件对清雪铲除雪试验数据进行了响应面拟合，观察到切削角、行进角和行进速度间的两两交互作用均显著。为了得到更优的除雪效果，选择切削角为36°、行进角为52°、行进速度为28.5 m/s的参数组合开展除雪试验。试验结果显示，清雪铲的抛雪高度为1.450 m，抛雪位移为12.600 m，满足高速公路除雪作业的要求，验证了理论分析结果和仿真结果的可靠性。研究结果为高速公路清雪铲的结构参数优化设计提供了参考。

关键词： 清雪铲, 显式动力学, 离散单元法, 联合仿真, 响应面法

Fig.1 Structural diagram of highway snow plow blade

Table 1 Material parameters of structural steel

Table 2 Material parameters of asphalt concrete

Table 3 Material parameters of snow model

Table 4 Structural parameters of snow plow blade

Fig.2 Three-dimensional model of snow plow blade

Fig.3 Simplified model of snow plow blade

Fig.4 Grid division for snow removal model of snow plow blade

Table 5 Constraint settings of snow plow blade and road surface under different cutting angles

Fig.5 Snow removal simulation models of snow plow blade under different cutting angles

Table 6 Constraint settings of snow plow blade and road surface under different travel angles

Fig.6 Snow removal simulation models of snow plow blade under different travel angles (with cutting angle of 35.9°)

Table 7 Constraint settings of snow plow blade and road surface under different travel speeds

Fig.7 Snow removal simulation models of snow plow blade under different travel speeds (with cutting angle of 35.9° and travel angle of 51.9°)

Fig.8 Shear stress curves of snow under different cutting angles

Fig. 9 Equivalent stress cloud maps of snow under different cutting angles

Fig.10 Shear stress curves of snow under different travel angles (with cutting angle of 35.9°)

Fig. 11 Equivalent stress cloud maps of snow under different travel angles (with cutting angle of 35.9°)

Fig.12 Shear stress curves of snow under different travel speeds (with cutting angle of 35.9° and travel angle of 51.9°)

Fig.13 Equivalent stress cloud maps of snow under different travel speeds (with cutting angle of 35.9° and travel angle of 51.9°)

Fig.14 Snow removal model of snow plow blade for discrete element simulation

Fig.15 Filling effect of snow particles

Table 8 Constraint settings of snow plow blade under different travel speeds

Fig.16 Snow throwing height and snow throwing displacement under different travel speeds

Fig. 17 Cloud maps of snow particle distribution under different travel speeds (with cutting angle of 35.9° and travel angle of 51.9°)

Fig.18 Fitting curves of snow throwing height and snow throwing displacement

Fig.19 Snow removal test device for snow plow blade

Table 9 Response surface experimental design schemes and results

Fig.20 Influence of operation parameters on snow throwing performance for snow plow blade


[[1]]	魏晖昕. 晋中高速公路除雪车推雪铲宽度优化［J］. 公路交通科技， 2022， 39（4）： 166-172. WEI H X. Optimizing width of snow shovel for Jinzhong expressway［J］. Journal of Highway and Transportation Research and Development， 2022， 39（4）： 166-172.

[[2]]	WAN X D， WANG Q， HU W， et al. Research on snow removal method of ultra high voltage DC composite bushing based on hot water jet［C］//20th International Conference on AC and DC Power Transmission 2024. Shanghai， Jul. 12-15， 2024.

[[3]]	ZHAO H R， GU Z R， ZHENG B， et al. Self-prior guided diffusion model for marine snow removal［C］//OCEANS 2024-Singapore. Singapore， Apr. 15-18， 2024.

[[4]]	SHEN Y， XU J G， SHAO X T， et al. Toward snow removal via the diversity and complexity of snow image［C］//2022 IEEE International Conference on Image Processing. Bordeaux， Oct. 16-19， 2022.

[[5]]	ZHANG Q J， LI S L， WANG K， et al. Research on cooperative formation operation of unmanned snow removal vehicles on airport runway［C］//2024 5th International Conference on Artificial Intelligence and Electromechanical Automation. Shenzhen， Jun. 14-16， 2024.

[[6]]	NGUYEN P H D， TRAN D. Constraint-based snowplow optimization model for winter maintenance operations［J］. Transportation Research Part A： Policy and Practice， 2024， 179： 103911.

[[7]]	HAN D， DONG C， DONG T. Research on a kind of self-propelled sawing equipment for snow and ice removal［C］//2022 International Conference on Cloud Computing， Big Data and Internet of Things. Wuhan， Oct. 22-23， 2022.

[[8]]	MOHAMMADI E， MOSCHOPOULOS G. Performance investigation of roof-mounted PV systems in snowy conditions considering snow coverage and snow removal process［C］//2020 IEEE Power & Energy Society General Meeting. Montreal， QC， Aug. 2-6， 2020.

[[9]]	孔诚琳，刘向东，吴洪山. 基于MATLAB清雪铲高速公路除雪的运动分析［J/OL］. 机电工程技术， 2025： 1-11（2025-07-15）［2025-09-28］. . KONG C L， LIU X D， WU H S. Kinematic analysis of highway snow removal using snow plow blades based on MATLAB［J］. Mechanical & Electrical Engineering Technology， 2025： 1-11（2025-07-15）［2025-09-28］. .

[[10]]	郭扬程，邢蕾，赵明，等. 基于LS-DYNA的弹性结构清雪铲缓冲性能仿真及试验［J/OL］. 机电工程技术， 2025： 1-8（2025-07-25）［2025-09-28］. . GUO Y C， XING L， ZHAO M， et al. Simulation and experiment of buffer performance of elastic structure snow removal blade based on LS-DYNA［J］. Mechanical & Electrical Engineering Technology， 2025： 1-8（2025-07-25）［2025-09-28］. .

[[11]]	赵明，刘向东，郭扬程，等. 基于ANSYS/LS-DYNA仿真的刷毛除雪性能分析［J/OL］. 机电工程技术， 2025： 1-12（2025-07-11）［2025-09-28］. . ZHAO M， LIU X D， GUO Y C， et al. Analysis of brush snow removal performance based on ANSYS/LS-DYNA simulation［J］. Mechanical & Electrical Engineering Technology， 2025： 1-12（2025-07-11）［2025-09-28］. .

[[12]]	叶涛，杨瑞，蒋钦，等. 基于Rocky DEM的高压辊磨机粉碎效果影响因素分析［J］. 有色金属（选矿部分）， 2025（3）： 91-98. YE T， YANG R， JIANG Q， et al. Analysis of influencing factors of crushing effect of high pressure roller mill based on Rocky DEM［J］. Nonferrous Metals Mieral Processing Section， 2025（3）： 91-98.

[[13]]	何晓宁，李梦竹，常学良，等. 基于LS-DYNA的圆盘式花生切根装置设计与试验［J］. 农业工程学报， 2025， 41（21）： 32-42. HE X N， LI M Z， CHANG X L， et al. Design and experiment of the LS-DYNA-based disk-type peanut root-cutting device［J］. Transactions of the Chinese Society of Agricultural Engineering， 2025， 41（21）： 32-42.

[[14]]	颜洪斌，崔峻，袁培银. 基于LS-DYNA的船舶-浮箱碰撞动力特性研究［J］. 舰船科学技术， 2025， 47（24）： 57-61. YAN H B， CUI J， YUAN P Y. Research on dynamic characteristics of ship pontoon collision based on LS-DYNA［J］. Ship Science and Technology， 2025， 47（24）： 57-61.

[[15]]	李炎，张磊. 基于Rocky DEM的辊式制粉机磨辊结构优化［J］. 食品与机械， 2024， 40（10）： 93-100. LI Y， ZHANG L. Optimization of roll structure in rollermill based on Rocky DEM discrete element simulation［J］. Food & Machinery， 2024， 40（10）： 93-100.

[[16]]	金浩，蒋明洋，徐超，等. 基于离散元法的柔性片烟建模及仿真参数标定［J］. 沈阳农业大学学报， 2023， 54（5）： 563-571. JIN H， JIANG M Y， XU C， et al. Modeling and simulation parameters calibration of flexible tobacco strips based on discrete element［J］. Journal of Shenyang Agricultural University， 2023， 54（5）： 563-571.

[[17]]	曹成茂，丁武阳，刘忠滨，等. 基于Rocky DEM的宁前胡排种器设计与试验［J］. 农业机械学报， 2023， 54（8）： 53-64. CAO C M， DING W Y， LIU Z B， et al. Design and experiment of seed disperser for Ning-guo Radix peucedani based on Rocky DEM［J］. Transactions of the Chinese Society for Agricultural Machinery， 2023， 54（8）： 53-64.

[[18]]	秦宽，步坤亭，沈周高，等. 连续复式茶叶理条机优化设计与试验［J］. 农业机械学报， 2023， 54（3）： 382-393. QIN K， BU K T， SHEN Z G， et al. Optimization design and experiment of continuous compound tea leaf barber［J］. Transactions of the Chinese Society for Agricultural Machinery， 2023， 54（3）： 382-393.

[[19]]	MITA A F， LABIBA M J， MALIHA S R， et al. Optimizing properties of concrete containing stone dust and ceramic tile： a response surface methodology approach［J］. Cleaner Engineering and Technology， 2025， 29： 101083.

[[20]]	刘文广，阳浩，孙杰，等. 基于响应面法的高压截止阀开启过程分析与结构优化研究［J/OL］. 机电工程， 2025： 1-11（2025-09-15）［2025-09-28］. . LIU W G， YANG H， SUN J， et al. Research on opening process analysis and structural optimization of high-pressure globe valve based on response surface methodology［J］. Journal of Mechanical & Electrical Engineering， 2025： 1-11（2025-09-15）［2025-09-28］. .

[[21]]	许丽，汪溪远，崔紫微，等. 非均相混合体系热洗含油污泥及洗脱废液处理研究［J］. 环境工程技术学报， 2025， 15（6）： 2068-2076. XU L， WANG X Y， CUI Z W， et al. Research on the treatment technology of oil-containing sludge and elution waste liquid from hot washing in a heterogeneous mixed system［J］. Journal of Environmental Engineering Technology， 2025， 15（6）： 2068-2076.

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