Journal of Terramechanics最新文献_第4页

Development of DEM–ANN-based hybrid terramechanics model considering dynamic sinkage 开发考虑动态下沉的基于 DEM-ANN 的混合地形力学模型

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-06-06 DOI: 10.1016/j.jterra.2024.100989

Ji-Tae Kim , Huisu Hwang , Ho-Seop Lee , Young-Jun Park

{"title":"Development of DEM–ANN-based hybrid terramechanics model considering dynamic sinkage","authors":"Ji-Tae Kim , Huisu Hwang , Ho-Seop Lee , Young-Jun Park","doi":"10.1016/j.jterra.2024.100989","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100989","url":null,"abstract":"<div><p>The interaction between deformable terrain and wheels significantly affects wheel mobility. To accurately predict vehicle mobility or optimize wheel design, an analysis of this interaction is essential. This study develops a hybrid terramechanics model (HTM) that integrates the semi-empirical model (SEM) and the discrete element method (DEM) using artificial neural networks (ANNs). The model overcomes the limitations inherent in SEM and DEM approaches. We used DEM simulations to analyze the impact of wheel design parameters and slip ratio on terrain behavior. ANNs were subsequently developed to predict dynamic sinkage in real time based on these results. A new concept, termed bulldozing angle, was introduced to define additional terrain–wheel contact caused by dynamic sinkage. Based on this concept, we predicted the bulldozing resistance exerted on the wheel. By combining SEM, ANNs, and DEM, we developed an HTM capable of terrain behavior analysis. Lastly, we conducted a comparative analysis between the SEM, HTM, and actual test data. The results confirmed that the predictive accuracy of the HTM surpassed that of the SEM across all slip ratios.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"116 ","pages":"Article 100989"},"PeriodicalIF":2.4,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141290219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling wheeled locomotion in granular media using 3D-RFT and sand deformation 利用 3D-RFT 和沙粒变形模拟颗粒介质中的轮式运动

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-06-01 DOI: 10.1016/j.jterra.2024.100987

Qishun Yu, Catherine Pavlov, Wooshik Kim, Aaron M. Johnson

引用次数: 0

Predicting unsaturated soil strength of coarse-grained soils for mobility assessments 为流动性评估预测粗粒土的非饱和土壤强度

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-20 DOI: 10.1016/j.jterra.2024.100977

Matthew D. Bullock, Joseph Scalia IV, Jeffrey D. Niemann

{"title":"Predicting unsaturated soil strength of coarse-grained soils for mobility assessments","authors":"Matthew D. Bullock, Joseph Scalia IV, Jeffrey D. Niemann","doi":"10.1016/j.jterra.2024.100977","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100977","url":null,"abstract":"<div><p>Accurately estimating surficial soil moisture and strength is integral to determining vehicle mobility and is especially important over large spatial extents at fine resolutions. While methods exist to estimate soil strength across landscapes, they are empirical and rely on class average soil behavior. The Strength of Surficial Soils (STRESS) model was developed to estimate moisture-variable soil strength with a physics-based approach. However, there is a lack of field data from a diverse landscape to evaluate the STRESS model. To test the STRESS model, a field study was conducted in northern Colorado. Soil moisture and strength were measured on 10 dates. Data from the surficial layer (0–5 cm) were used to test the STRESS model and determine if soil strength trends could be estimated from topographical and soil textural differences. High variability was observed in soil strength measurements stemming from fine-scale terrain features and user variability. Observations show lower soil strengths for greater soil moistures, steeper slopes, higher vegetation, and lower soil fines content. STRESS estimated rating cone index values with a mean relative error of 37.5 %, while a pre-existing model had a mean relative error of 47.4 %. The STRESS model outperforms the current RCI prediction method, but uncertainty remains large.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"115 ","pages":"Article 100977"},"PeriodicalIF":2.4,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141068493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applied mathematical modelling to analyze terrain-roadway-vehicle interaction of flexible-rigid foldable roadway 应用数学模型分析柔性-刚性可折叠路面的地形-路面-车辆相互作用

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-18 DOI: 10.1016/j.jterra.2024.100976

Fengxiao Liu , Hao Wu , Hualin Fan , Wang Li

引用次数: 0

Rapid and precise calibration of soil microparameters for high-fidelity discrete element models in vehicle mobility simulation 快速精确校准土壤微参数，用于车辆移动模拟中的高保真离散元件模型

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-11 DOI: 10.1016/j.jterra.2024.100985

Chen Hua , Runxin Niu , Xinkai Kuang , Biao Yu , Chunmao Jiang , Wei Liu

{"title":"Rapid and precise calibration of soil microparameters for high-fidelity discrete element models in vehicle mobility simulation","authors":"Chen Hua , Runxin Niu , Xinkai Kuang , Biao Yu , Chunmao Jiang , Wei Liu","doi":"10.1016/j.jterra.2024.100985","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100985","url":null,"abstract":"<div><p>In the realm of numerical simulations concerning vehicle mobility, the establishment of a high-fidelity soil discrete element model often necessitates substantial parameter adjustments to align with the mechanical responses of actual soil. In pursuit of a rapid and precise calibration of the microparameters of the soil model, this paper describes an approach rooted in machine learning surrogate models. This method calibrates the corresponding discrete element microparameters based on the macroscopic Mohr–Coulomb parameters derived from actual soil direct shear tests. The distinct contribution lies in the creation of a dataset that bridges the soil microparameters and macroparameters through simulated direct shear tests, which serves as training data for machine learning algorithms. Additionally, an adaptive particle swarm optimization neural network algorithm is proposed to represent the nonlinear relationships among parameters within the dataset, thus achieving intelligent calibration. To verify the reliability of the proposed soil calibration model in the context of vehicle mobility simulations, a co-simulation is conducted using a vehicle multibody dynamics simulation model and the calibrated soil model, with validation conducted across multiple criteria.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"115 ","pages":"Article 100985"},"PeriodicalIF":2.4,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140906109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review 释放物联网、人工智能和无人机在当代农业中的潜力：全面回顾

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-10 DOI: 10.1016/j.jterra.2024.100986

Mustapha El Alaoui , Khalid EL Amraoui , Lhoussaine Masmoudi , Aziz Ettouhami , Mustapha Rouchdi

{"title":"Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review","authors":"Mustapha El Alaoui , Khalid EL Amraoui , Lhoussaine Masmoudi , Aziz Ettouhami , Mustapha Rouchdi","doi":"10.1016/j.jterra.2024.100986","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100986","url":null,"abstract":"<div><p>This study explores the potential of Precision Agriculture (PA) and Smart Farming (SF) using cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Unmanned Aerial Vehicles (UAVs) to address global challenges such as food shortages and population growth. The research focuses on recent developments in SF, including data collection, analysis, visualization and viable solutions, highlighting the role of IoT and 5G networks. The paper also discusses the application of robots and UAVs in agricultural tasks, showcasing their integration with IoT, AI, Deep Learning (DL), Machine Learning (ML), and wireless communications. Moreover, Smart Decision Support Systems (SDSS) are explored for real-time soil analysis and decision-making. The study underscores the significance of these technologies in PA, propelling traditional farming practices into an era of intelligent and sustainable farming solutions. This Overview is grounded in a thorough analysis of 80 recent research articles, covering the period from 2019 to 2023, within the domain of SF. This study highlights notable trends and advancements in this ever-evolving sector. Furthermore, this paper delves into the nuances of addressing particular challenges prevalent in developing nations, strategies aimed at surmounting constraints related to infrastructure and resource availability, and the pivotal role of governmental and private sector support in fostering the growth of Smart Agriculture (SA).</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"115 ","pages":"Article 100986"},"PeriodicalIF":2.4,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140901055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced assessment framework of static stability of tracked vehicles in consideration of multi-directional loading 考虑多向载荷的履带式车辆静态稳定性强化评估框架

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-07 DOI: 10.1016/j.jterra.2024.100984

Ning Zhao , Youkou Dong , Dingtao Yan , Xiaowei Feng , Lan Cui

{"title":"Enhanced assessment framework of static stability of tracked vehicles in consideration of multi-directional loading","authors":"Ning Zhao , Youkou Dong , Dingtao Yan , Xiaowei Feng , Lan Cui","doi":"10.1016/j.jterra.2024.100984","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100984","url":null,"abstract":"<div><p>Tracked vehicles are widely used in transportation, excavation, and site investigation due to their advantages of maneuverability and off-road ability. Static stability of tracked vehicles has been characterized with the static stability factor (SSF) and the static roll threshold (<em>SRT</em>) by assuming the ground as perfectly rigid. Considering the interaction between the vehicle and the ground, the traditional studies assess the static stability of vehicles under uni-directional loads by ignoring coupling effect between the load components. This paper enhances the traditional framework by evaluating the static stability of tracked vehicles under multi-directional loads. The two tracks of a tracked vehicle are considered as two parallel shallow foundations. The failure envelope method is adopted to capture the maximum allowable loads through swipe test and fixed ratio test. A new coefficient, factor of stability (<em>FOS</em>), is introduced to quantify the static stability of the tracked vehicles. Various track configurations and load combinations have been considered. The judgment process of tracked vehicle’s stability and the calculation method of <em>FOS</em> are detailed. The results show that the <em>FOS</em> obtained from the enhanced framework is more conservative than that from the traditional one.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"115 ","pages":"Article 100984"},"PeriodicalIF":2.4,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140878974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-empirical terramechanics modelling of rough terrain represented by a height field 用高度场表示粗糙地形的半经验地形力学模型

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-05-03 DOI: 10.1016/j.jterra.2024.100975

Eric Karpman , Jozsef Kövecses , Marek Teichmann

{"title":"Semi-empirical terramechanics modelling of rough terrain represented by a height field","authors":"Eric Karpman , Jozsef Kövecses , Marek Teichmann","doi":"10.1016/j.jterra.2024.100975","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100975","url":null,"abstract":"<div><p>Dynamic simulations of various types of off-road vehicles, from planetary rovers to agricultural equipment, have long relied on well-established semi-empirical terramechanics models. While these models do have drawbacks and reliability issues that have been addressed by numerous works in the decades since the models were first introduced, semi-empirical approaches remain one of the few ways to simulate realistic wheel-soil interaction in real-time. One of their drawbacks is their assumption that the terrain is a flat plane. The models work by integrating normal and shear stresses along the wheel-terrain contact patch. The normal stress at each point along the contact patch is determined using an equation that computes soil pressure based on semi-empirical parameters, the dimensions of the wheel and the sinkage, which is determined based on the distance between the point and the plane that defines the terrain. Other works simplify the rough terrain contact problem by defining an equivalent contact plane at each time step in order to continue to be able to use semi-empirical models - modified to work with slanted planes - to compute the interaction forces. In this work, we propose a new, modified version of the semi-empirical model in which interaction forces for a wheel travelling on rough terrain can be computed without the need to use an equivalent contact plane. To highlight the advantages of our proposed approach, we compare our simulation results to the results of simulations using an existing approach for modelling a wheel travelling over rough terrain using traditional semi-empirical models.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"115 ","pages":"Article 100975"},"PeriodicalIF":2.4,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140825800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental study and analysis of the position and attitude deviation of planetary rover during driving 行星漫游车行驶过程中位置和姿态偏差的实验研究与分析

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-04-11 DOI: 10.1016/j.jterra.2024.100974

Zhicheng Jia , Jingfu Jin , Xinju Dong , Lianbin He , Meng Zou , Yingchun Qi

{"title":"Experimental study and analysis of the position and attitude deviation of planetary rover during driving","authors":"Zhicheng Jia , Jingfu Jin , Xinju Dong , Lianbin He , Meng Zou , Yingchun Qi","doi":"10.1016/j.jterra.2024.100974","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100974","url":null,"abstract":"<div><p>Reducing the position and attitude deviation of the planetary rover while driving is an important issue that needs to be considered in the design and controller development of the new types of planetary rovers at this stage. It is also the basis for whether the rovers can carry out exploration missions with high precision requirements on the complex terrain of planetary surfaces. A systematic study of the deviation problems generated by planetary rovers under the most basic open-loop path control is of great significance to improve the effectiveness of planetary detection. In this study, based on simulated Martian terrain and soil, planetary rover driving experiments under various scenes were conducted to test the resulting position and attitude deviation and evaluation indexes under different path types, terrain distributions, driving speeds and steering radius. By combining the experimental phenomena, the action characteristics of single wheel with ground and its influence on the state of the whole vehicle during the deviation generation process are analyzed. And finally, the discussion and conclusion are directed to how to optimize the planetary rover path control. These systematic experiments and analyses can provide valuable references for researchers engaged in the development of mobile controllers for planetary rovers.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"113 ","pages":"Article 100974"},"PeriodicalIF":2.4,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140547174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of remote sensing in measuring soil parameters for precision tillage 遥感技术在测量精准耕作土壤参数方面的评估

IF 2.4 3区工程技术

Journal of Terramechanics Pub Date : 2024-04-06 DOI: 10.1016/j.jterra.2024.100973

Ishmael Nartey Amanor , Ricardo Ospina Alarcon , Noboru Noguchi

{"title":"Assessment of remote sensing in measuring soil parameters for precision tillage","authors":"Ishmael Nartey Amanor , Ricardo Ospina Alarcon , Noboru Noguchi","doi":"10.1016/j.jterra.2024.100973","DOIUrl":"https://doi.org/10.1016/j.jterra.2024.100973","url":null,"abstract":"<div><p>Precision tillage (PT) is an innovative method that aims to take mechanical actions in the soil only where it is needed to curb the impact of heavy machinery usage on the soil. This research explores the use of remote sensing to measure relevant soil parameters to implement a PT strategy. This was achieved by combining traditional soil properties measurements and a non-contact approach based on taking hyperspectral camera (HSC) data in the field. Six methods were generated and divided into two sets to determine soil properties to make PT decisions. The first set includes mathematical functions that were generated from the ground true data (GTD). The second set includes functions that were generated from the remotely sensed HSC data and have a relationship with the methods in the first set. It was possible to tune the functions’ parameters to increase the accuracy. In addition, prediction error categories set at 5 % intervals were used to select the best method. The results show that a tuned method based on the GTD has an overall error below 5 %, and a tuned method based on HSC data has an overall error below 10 %.</p></div>","PeriodicalId":50023,"journal":{"name":"Journal of Terramechanics","volume":"113 ","pages":"Article 100973"},"PeriodicalIF":2.4,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140533456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0