Journal of Terramechanics最新文献_第6页

Simulation of cohesive-frictional artificial soil-to-blade interactions using an elasto-plastic discrete element model with stress-dependent cohesion 利用弹性离散元件模型模拟人工土壤与叶片之间的内聚摩擦相互作用，该模型的内聚力取决于应力

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-11-05 DOI: 10.1016/j.jterra.2024.101029

Mohamed A.A. Abdeldayem , Mehari Z. Tekeste

The discrete element method (DEM) has become a valuable computational technique for simulating soil dynamic loading during bulldozer cutting processes. It allows for the virtual design of Ground Engaging Tools (GETs) and predicting energy expenditure during earthmoving operations. Few studies exist for modeling dynamic soil-cutting processes of soils exhibiting elasto-plastic behavior with stress-history-dependent cohesive soil behavior. The study aimed to calibrate an elasto-plastic DEM soil model, with cohesion, for a cohesive-frictional artificial soil and predict soil reaction forces from soil-to-blade interaction. Plackett-Burman screening design of experiment (DOE) and inverse profiling techniques were applied to calibrate the elasto-plastic DEM soil model, with cohesion, predicting soil compaction energy with a percent relative error (PRE) of 3 % and maximum normal stress (PRE of 1 %) using cohesive-frictional artificial soil in a uniaxial confined compression test. Validation of the calibrated DEM soil model resulted in good prediction of soil reaction forces versus blade displacement for a narrow planar blade, a wide planer blade, and a geometrically scaled curved bulldozer blade, with RMSE values of 2.04 N, 14.89 N, and 7.42 N, respectively. The findings showed that elasto-plastic soil behavior with stress-dependent cohesion can be modeled using DEM for simulating the cutting and moving of earthen materials, offering valuable insights for optimizing GET design and development of digital twins of earthmoving operations.

离散元素法（DEM）已成为模拟推土机切割过程中土壤动态载荷的重要计算技术。它可以虚拟设计地面掘进工具 (GET)，并预测推土作业过程中的能量消耗。针对具有弹塑性行为和应力历史依赖性粘性土壤行为的土壤动态切削过程建模的研究很少。本研究旨在校准具有内聚力的弹塑性 DEM 土壤模型，用于内聚摩擦人造土壤，并预测土壤与刀片相互作用产生的土壤反作用力。应用 Plackett-Burman 筛选实验设计（DOE）和反剖面技术校准了具有内聚力的弹塑性 DEM 土壤模型，在单轴约束压缩试验中使用内聚摩擦人造土壤预测土壤压实能，相对误差百分比（PRE）为 3%，最大法向应力（PRE 为 1%）为 1%。对校准的 DEM 土壤模型进行验证后，可以很好地预测窄平面叶片、宽平面叶片和几何比例弯曲推土机叶片的土壤反力与叶片位移的关系，RMSE 值分别为 2.04 N、14.89 N 和 7.42 N。研究结果表明，可以使用 DEM 模拟土质材料的切割和移动，对具有应力相关内聚力的弹塑性土壤行为进行建模，从而为优化 GET 设计和开发土方工程数字孪生模型提供宝贵的见解。

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引用次数: 0

Modelling and simulation fundamentals in design for ground vehicle mobility Part II: Western approach 地面车辆机动性设计中的建模和模拟基础第二部分：西方方法

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-11-02 DOI: 10.1016/j.jterra.2024.101023

David Gorsich , Vladimir Vantsevich , Jesse Paldan , Lee Moradi

For many decades, different approaches, fundamentals, and expressions have been developed in various countries for military vehicle modelling and simulation (M&S) as a core component of ground vehicle design for mobility. The political division of the world into the West and East that existed before the Soviet Union breakdown in 1991 had not facilitated collaboration between researchers and engineers of both sides, and, thus, they created and practiced their own approaches. The war in Ukraine urgently prompted analysis of the origins and essence of the Western and Eastern technical paradigms, which being conceptually different to ground vehicle mobility, had predetermined the development of vehicle M&S methods and techniques in their parts of the world, specifically for studying dynamic interactions of vehicles with severely uncertain terrains, which impact vehicle behavior and performance, and, thus, may either facilitate mission accomplishment or lead to its failure. Furthermore, this analysis of the technical paradigms aims to further advance M&S fundamentals for next generation combat vehicles as described in the U.S. Army’s 2019 Modernization Strategy. Part I of this article considers the Eastern approach and the Western approach is presented in Part II.

几十年来，各国在军用车辆建模与仿真（M&S）方面形成了不同的方法、基本原理和表达方式，这是地面车辆机动性设计的核心组成部分。1991 年苏联解体之前，世界在政治上被划分为西方和东方，这不利于双方研究人员和工程师之间的合作，因此，他们创造并实践了各自的方法。乌克兰战争迫切需要对东西方技术范式的起源和本质进行分析，由于概念上与地面车辆机动性不同，东西方的技术范式预先决定了各自地区车辆 M&S 方法和技术的发展，特别是在研究车辆与严重不确定地形的动态相互作用时，这种相互作用会影响车辆的行为和性能，从而可能促进任务的完成，也可能导致任务失败。此外，对技术范例的分析旨在进一步推进美国陆军 2019 年现代化战略中描述的下一代战车的 M&S 基础知识。本文第一部分介绍了东方方法，第二部分介绍了西方方法。

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引用次数: 0

Numerical analysis of tire mobility on deformable plastic clay in saturated conditions using total and effective stress frameworks 利用总应力和有效应力框架对饱和条件下轮胎在可变形塑性粘土上的移动性进行数值分析

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-26 DOI: 10.1016/j.jterra.2024.101024

Varsha S. Swamy , Alba Yerro , Corina Sandu , Rashna Pandit , David Gorsich , Katherine Sebeck

Modeling and performance prediction of tires on wet, plastic, cohesive soils is challenging. In wet soils, the undrained shear strength reduces as water content increases. This work aims to model highly deformable saturated clay (plastic state) to predict the short-term effect on the soil due to a single pneumatic tire pass. The external loads on the soil (total stresses) can be carried by the soil skeleton (effective stress) and/or water (pore water pressure). Fundamentally, effective stresses determine soil failure. Hence, material models can be defined using two frameworks: total and effective stress. In total stress analysis, commonly found in literature, soil and water are modeled as one medium to address rapid loading. In effective stress analysis, pore pressure evolution can be tracked through hydromechanical formulations with different drainage conditions (dry and fully saturated soils). Further, different numerical techniques (FEM, ALE, and SPH) are compared. The effective stress model captures an accumulation of excess pore water pressure after one tire pass resulting from soil non-linear behavior, which may potentially affect the tire performance of later passes. In addition, the FEM model fails at higher normal loads and slip ratios due to excessive deformation; ALE and SPH give more stable solutions for large deformations.¹

对轮胎在潮湿、塑性、粘性土壤上的性能进行建模和预测是一项挑战。在湿土中，随着含水量的增加，排水剪切强度会降低。这项工作旨在模拟高变形饱和粘土（塑性状态），以预测单个充气轮胎通过时对土壤的短期影响。土壤上的外部荷载（总应力）可由土壤骨架（有效应力）和/或水（孔隙水压力）承担。从根本上说，有效应力决定了土壤的破坏。因此，材料模型可以用两个框架来定义：总应力和有效应力。在文献中常见的总应力分析中，土壤和水被模拟为一种介质，以解决快速加载问题。在有效应力分析中，可通过不同排水条件（干燥和完全饱和土壤）下的水力学公式跟踪孔隙压力演变。此外，还对不同的数值技术（有限元、ALE 和 SPH）进行了比较。有效应力模型捕捉到了轮胎通过一次后因土壤非线性行为而产生的多余孔隙水压力的累积，这可能会影响轮胎以后的性能。此外，有限元模型在较高的法向载荷和滑移比下会因过度变形而失效；ALE 和 SPH 对大变形给出了更稳定的解决方案。

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引用次数: 0

Analysis of tire characteristics driving on asphalt paved roads covered with volcanic ash 在铺有火山灰的沥青路面上行驶的轮胎特性分析

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-24 DOI: 10.1016/j.jterra.2024.101025

Junya Yamakawa , Ryosuke Eto , Yasuhiro Ichikado , Mitsuhiro Yoshimoto , Tatsuji Nishizawa , Tomohiro Kubo , Hiroyuki Yamada

Japan has many active volcanoes, and a large eruption can cause ash fall over a wide area. The accumulation of volcanic ash on paved roads affects the driving of vehicles. Therefore, we collected data by driving over volcanic ash accumulated on paved surface with a vehicle equipped with devices that can measure the force applied to the running tires. Vehicle driving tests were conducted at constant speed, rapid acceleration, and rapid deceleration. Data were collected on flat straight roads as well as on roads with grades and curves. In addition to longitudinal, lateral, and vertical tire forces, camber angle, rotation speed, and ground speed were measured. This paper discusses the effects of volcanic ash covering paved roads on driving by processing the tire data obtained. The relationship between the sideslip angle and side force can be obtained by processing turning driving data, and these effects were modeled using a neural network and Gaussian process that can consider multiple variables such as tire sideslip angle, camber angle, and vertical force.

日本有许多活火山，大面积喷发会导致火山灰大面积降落。火山灰堆积在铺设好的道路上会影响车辆的行驶。因此，我们使用装有可测量行驶轮胎受力装置的车辆，在铺设路面上堆积的火山灰上行驶，收集数据。车辆驾驶测试在匀速、急加速和急减速的情况下进行。数据是在平坦的直线道路以及有坡度和弯道的道路上收集的。除了纵向、横向和垂直轮胎力之外，还测量了外倾角、旋转速度和地面速度。本文通过处理获得的轮胎数据，讨论了火山灰覆盖铺设道路对驾驶的影响。通过处理转弯驾驶数据，可获得侧倾角和侧向力之间的关系，并使用神经网络和高斯过程对这些影响进行建模，神经网络和高斯过程可考虑轮胎侧倾角、外倾角和垂直力等多个变量。

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引用次数: 0

Modelling and simulation fundamentals in design for ground vehicle mobility part I: Eastern approach 地面车辆机动性设计中的建模和仿真基础 I 部分：东方方法

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-19 DOI: 10.1016/j.jterra.2024.101020

Vladimir Vantsevich , David Gorsich

For many decades, different approaches, fundamentals, and expressions have been developed in various countries for military vehicle modelling and simulation (M&S) as a core component of ground vehicle design for mobility. The political division of the world into the West and East that existed before the Soviet Union breakdown in 1991 had not facilitated collaboration between researchers and engineers of both sides, and, thus, they created and practiced their own approaches. The war in Ukraine urgently prompted analysis of the origins and essence of the Western and Eastern technical paradigms, which being conceptually different to ground vehicle mobility, had predetermined the development of vehicle M&S methods and techniques in their parts of the world, specifically for studying dynamic interactions of vehicles with severely uncertain terrains, which impact vehicle behavior and performance, and, thus, may either facilitate mission accomplishment or lead to its failure. Furthermore, this analysis of the technical paradigms aims to further advance M&S fundamentals for next generation combat vehicles as described in the U.S. Army’s 2019 Modernization Strategy. Part I of this article considers the Eastern approach and the Western approach is presented in Part II.

几十年来，各国在军用车辆建模与仿真（M&S）方面形成了不同的方法、基本原理和表达方式，这是地面车辆机动性设计的核心组成部分。1991 年苏联解体之前，世界在政治上被划分为西方和东方，这不利于双方研究人员和工程师之间的合作，因此，他们创造并实践了各自的方法。乌克兰战争迫切需要对东西方技术范式的起源和本质进行分析，由于概念上与地面车辆机动性不同，东西方的技术范式预先决定了各自地区车辆 M&S 方法和技术的发展，特别是在研究车辆与严重不确定地形的动态相互作用时，这种相互作用会影响车辆的行为和性能，从而可能促进任务的完成，也可能导致任务失败。此外，对技术范例的分析旨在进一步推进美国陆军 2019 年现代化战略中描述的下一代战车的 M&S 基础知识。本文第一部分介绍了东方方法，第二部分介绍了西方方法。

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引用次数: 0

Towards more efficient tractors: Assessing and refining traction test procedures for agricultural tractors 提高拖拉机的效率：评估和完善农用拖拉机牵引力测试程序

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-09 DOI: 10.1016/j.jterra.2024.101018

Leonardo Angelucci , François Pinet , Andrea Vertua , Michele Mattetti

A reliable testing procedure is needed to benchmark different vehicle and tyre parameters. Several testing procedures within two main families – transient and steady states – were adopted to evaluate drawbar performance of tractors. The two procedural families were not hitherto compared using a full vehicle. This article aims to fill this gap. The transient and steady-state procedures were tested using a tractor rated of 230 kW sets in different configurations and equipped with sensors for evaluating the tractive parameters. In the transient procedure, the drawbar load was continuously increased to maintain a fixed ground speed. In the steady-state procedure, the drawbar load was gradually increased by reducing the ground speed. The maximum drawbar force generated by the tractor differed little between procedures, but a difference was observed in power delivery efficiency, mostly for the transmission’s influence during transient conditions leading to variable transmission efficiency. The results of the steady-state procedure for different vehicle configurations were more consistent with findings in the literature than those of the transient procedure. The steady-state procedure is better than the other but it requires more land and therefore it is less convenient when drawbar performances must be quickly evaluated for many vehicle and soil configurations.

需要一种可靠的测试程序来确定不同的车辆和轮胎参数。我们采用了瞬态和稳态两大类测试程序来评估拖拉机的牵引杆性能。迄今为止，尚未使用整车对这两个程序系列进行比较。本文旨在填补这一空白。瞬态和稳态程序使用额定功率为 230 千瓦的拖拉机进行了测试，拖拉机采用不同的配置，并配备了用于评估牵引参数的传感器。在瞬态程序中，牵引杆负载不断增加，以保持固定的地面速度。在稳态程序中，通过降低地面速度逐渐增加牵引力。拖拉机产生的最大牵引力在不同程序中差别不大，但在动力传输效率方面却出现了差异，这主要是由于变速器在瞬态条件下的影响导致了变速器效率的变化。与瞬态程序相比，不同车辆配置的稳态程序结果与文献研究结果更为一致。稳态程序比其他程序更好，但它需要更多的土地，因此在必须快速评估许多车辆和土壤配置的牵引杆性能时，它不太方便。

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引用次数: 0

Predicting terrain deformation patterns in off-road vehicle-soil interactions using TRR algorithm 利用 TRR 算法预测越野车与土壤相互作用的地形变形模式

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-09 DOI: 10.1016/j.jterra.2024.101021

Behzad Golanbari , Aref Mardani , Adel Hosainpour , Hamid Taghavifar

Soil deformation is one of the parameters affecting the performance of off-road vehicles, including traction, mobility, and steering. This study offers an examination of soil deformation resulting from interactions with pneumatic and track wheels. Experiments were conducted using a soil bin with a single-wheel test rig, equipped with both a standard agricultural tire and a customized track wheel. Three distinct levels of vertical loads (2, 3, and 4kN) and forward velocities (1, 2, and 3 km/h) were applied using the wheel tester. The displacement and deformation of the soil layers, visualized as a vertical cross-section along the motion path, were consistently prepared and photographed for all experiments. Image analysis was undertaken with MATLAB software to scale images and extract graphical data. The highest deformation, with a value of 60.86 mm, is associated with the interaction of a pneumatic wheel with a force of 4 kN, while the lowest deformation occurs when the soil interacts with a track wheel with a force of 2 kN, with a value of 25.05 mm. Furthermore, the fitted surfaces obtained using the optimization algorithm showed good convergence with the experimental data, with R² values of 0.9783 and 0.9516 for the pneumatic tire and tracked tire, respectively. The results demonstrated that the TRR model performs well in accurately predicting soil deformation induced by various types of wheels. A comparison between soil deformations caused by track wheels and pneumatic wheels revealed that track wheels result in less deformation and disturbance, particularly in the upper soil layers. These findings underscore the importance of considering the type of traction device and loading conditions when assessing soil deformation in agricultural environments.

土壤变形是影响越野车牵引力、机动性和转向等性能的参数之一。本研究对与气动轮和履带轮相互作用产生的土壤变形进行了研究。实验使用土壤仓和单轮试验台进行，试验台配备了标准农用轮胎和定制履带轮。使用轮式测试仪施加了三个不同水平的垂直荷载（2、3 和 4kN）和前进速度（1、2 和 3 km/h）。土层的位移和变形沿运动轨迹以垂直横截面的形式呈现，所有实验都进行了统一的准备和拍照。使用 MATLAB 软件进行图像分析，以缩放图像并提取图形数据。变形量最大的是与力为 4 千牛的气动轮相互作用时，变形量为 60.86 毫米；而变形量最小的是与力为 2 千牛的履带轮相互作用时，变形量为 25.05 毫米。此外，利用优化算法获得的拟合曲面与实验数据的收敛性良好，充气轮胎和履带轮胎的 R2 值分别为 0.9783 和 0.9516。结果表明，TRR 模型在准确预测各种车轮引起的土壤变形方面表现良好。对履带车轮和充气车轮引起的土壤变形进行比较后发现，履带车轮引起的变形和扰动较小，尤其是在土壤上层。这些发现强调了在评估农业环境中的土壤变形时考虑牵引装置类型和负载条件的重要性。

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引用次数: 0

Terrain classification and rock abundance analysis at Utopia Planitia using Zhurong image data based on deep learning algorithms 基于深度学习算法，利用祝融影像数据对乌托邦行星进行地形分类和岩石丰度分析

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-09 DOI: 10.1016/j.jterra.2024.101022

Yan Shen , Dong Pan , Hongtao Cao , Baofeng Yuan , Yang Jia , Lianbin He , Meng Zou

The complexity of image scene information presents challenges for the trafficability assessment and path planning of Mars rovers. To ensure the operational safety of Mars rovers and extract terrain features from complex image scenes, this paper develops an end-to-end deep learning model, using the deep convolutional neural networks ResNet50 and DeepLabV3 + as the framework, with images from the Zhurong rover’s navigation camera as the training and test datasets. A deep learning model suitable for classification and segmentation of terrain in the Mars Utopia Planitia region has been established and applied to planetary geology research. The classification accuracy of model exceeds 83.90 % and segmentation accuracy exceeds 80 %. Subsequently, an analysis of 1309 raw images from the navigation camera yielded 203,744 individual estimates of rock abundance, the model evaluates the rock abundance in the Utopia Planitia region, where the Zhurong rover is located, at 10.94 %. The terrain classification model proposed in this study provides both engineering and scientific value for future rovers on the Utopia Planitia.

图像场景信息的复杂性给火星车的交通性评估和路径规划带来了挑战。为了确保火星车的运行安全，并从复杂的图像场景中提取地形特征，本文以深度卷积神经网络ResNet50和DeepLabV3 +为框架，以 "祝融号 "火星车导航相机的图像为训练和测试数据集，建立了端到端的深度学习模型。建立了适用于火星乌托邦地区地形分类和分割的深度学习模型，并将其应用于行星地质研究。模型的分类准确率超过 83.90%，分割准确率超过 80%。随后，对导航相机拍摄的 1309 幅原始图像进行了分析，得出了 203744 个岩石丰度估算值，该模型评估出 "祝融 "号探测器所在的乌托邦星区的岩石丰度为 10.94%。本研究提出的地形分类模型为未来在桃花星上的漫游车提供了工程和科学价值。

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引用次数: 0

Tire sinkage measurement and entry angle calculation using stereo cameras 使用立体相机测量轮胎下沉量并计算进入角

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-10-07 DOI: 10.1016/j.jterra.2024.101019

Hannah White , Corina Sandu , Jyotirmoy Mukherjee , Andrea L’Afflitto , David Gorsich , Michael Cole

In the modern world the use of autonomous vehicles is growing more and more common. There are many applications for autonomous vehicles on deformable terrain, such as in military, farming, and mining but the problem with most established autonomous vehicle models is that they do not take into account the effect the terrain has on vehicle performance. To be able to accurately include these values in the vehicle model, they need to be directly sensed or estimated. One of the most valuable of these values is the tire sinkage. Tire sinkage is very important when it comes to terrain-vehicle interaction. The slip-sinkage relationship is an important factor in tractive performance. This paper is part of a larger project that is working on autonomy in conditions with deformable terrain and this paper presents on the methods employed to measure and find important values for the terramechanics of the model. This study specifically focuses on measuring the rut depth left behind after a tire travels over the terrain using a set of two stereo cameras. The sinkage is then used to be able to find the entry angle of the tire in the terrain.

在现代社会，自动驾驶汽车的使用越来越普遍。自动驾驶车辆在可变形地形上有很多应用，如军事、农业和采矿，但大多数已建立的自动驾驶车辆模型的问题在于，它们没有考虑到地形对车辆性能的影响。为了能够在车辆模型中准确地包含这些值，需要直接感知或估算这些值。其中最有价值的数值之一是轮胎下沉量。在地形与车辆相互作用方面，轮胎下沉量非常重要。滑移-下沉关系是影响牵引性能的重要因素。本文是一个大型项目的一部分，该项目致力于在可变形地形条件下实现自动驾驶，本文介绍了测量和查找模型地形力学重要值的方法。这项研究的重点是使用两台立体摄像机测量轮胎碾过地形后留下的车辙深度。然后，利用下沉量可以找到轮胎在地形中的进入角。

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引用次数: 0

Natural recovery of different soil types after passes by wheeled military truck: Implications for soil as a ground for follow-on mobility operations 轮式军用卡车通过后不同土壤类型的自然恢复：土壤作为后续机动作战地面的意义

IF 2.4 3区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Journal of Terramechanics

Pub Date : 2024-09-27 DOI: 10.1016/j.jterra.2024.101017

Kersti Vennik

The trafficking of off-road military vehicles generates disturbed soil conditions. Thus, former active combat areas can have a serious effect on subsequent operations. More precisely, an uneven soil surface will remarkably increase the vibration of travelling vehicles, and over-compacted as well as displaced soil layers affect soil water dynamics that, in turn, have a long-lasting effect on soil strength. In addition, soil as a habitat for plants must provide air, water, and nutrients for the plants to grow. Luckily, soil can naturally recover from being disturbed thanks to freezing-thawing cycles, wetting–drying cycles, and biological activity. However, the rate of recovery depends on the physical parameters of soil. The objective of this study was to monitor and summarize the natural recovery rate of soils. As an experiment, single pass and repeated passes with military trucks (total weight 70 kN) were carried out. The ruts that formed were monitored and soil samples were collected up to 2 years after wheeling. The rut depth, cone index values, bulk density, soil moisture content as well as field-saturated hydraulic conductivity were measured and soil pore size distribution was determined in a laboratory during the entire studied recovery period. The results about the natural recovery on different soils are presented herein.

越野军用车辆的贩运会造成土壤条件紊乱。因此，前作战地区会对后续行动产生严重影响。更确切地说，不平整的土壤表面会显著增加行驶车辆的振动，过度压实和移位的土层会影响土壤水分动态，进而对土壤强度产生长期影响。此外，土壤作为植物的栖息地，必须为植物生长提供空气、水和养分。幸运的是，由于冰冻-解冻周期、湿润-干燥周期和生物活动的作用，土壤受到扰动后可以自然恢复。不过，恢复速度取决于土壤的物理参数。本研究的目的是监测和总结土壤的自然恢复率。作为一项实验，使用军用卡车（总重量 70 千牛）进行了单次通行和多次通行。对形成的车辙进行了监测，并收集了车轮碾压两年后的土壤样本。在整个研究恢复期间，在实验室测量了车辙深度、锥体指数值、容重、土壤含水量以及实地饱和导水率，并测定了土壤孔径分布。本文介绍了不同土壤的自然恢复结果。

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引用次数: 0