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CAREER: Modeling Soil-Machine Interaction for Advances in Civil Construction and Terrestrial Robotics

职业：模拟土壤-机器相互作用以促进土木建筑和地面机器人技术的进步

基本信息

批准号：
1846817
负责人：
James Hambleton
金额：
$ 50万
依托单位：
Northwestern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-01 至 2024-02-29
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1846817&HistoricalAwards=false
关键词：
CAREER Modeling Soil Machine Interaction

项目摘要

This Faculty Early Career Development Program (CAREER) award will investigate the physical processes through which machines interact with soils, and develop theoretical models that will underpin the design of future, autonomous devices used for construction, mining, agriculture, and mobility. Humans move, manipulate, and interact with soil on a massive scale for civil construction, mining, and agriculture using machines that have been designed and built primarily through trial and error, without fundamental knowledge of how soils respond under different loading conditions. Advances in mechatronics and robotics can revolutionize the design of these machines. Since existing techniques for simulation and design are largely for devices operating on hard surfaces, a major impediment to answering this question and others is the lack of methods to predict how machines operate on deformable terrain. This project will collect data and launch an integrated research and educational program dedicated specifically to Soil-Machine Interaction (SMI), one that ultimately will examine a wide variety of machine configurations and soil types. The broader impacts of this project will shape an emerging, interdisciplinary field by stimulating technological advances in the devices used for construction, mining, agriculture, and mobility. Through integrated educational aims, the project will also attract, excite and educate a diverse group of future civil engineers through inclusive outreach and educational activities that engage learners of all ages, from early childhood onward.This project will integrate experiments and theory based on fundamental soil mechanics to obtain models for predicting the evolution of forces and reactions as machines come into contact with soils to induce large, permanent (plastic) deformations. Significant novelty lies in the complete experimental characterization of force-displacement histories and deformation fields over a wide range of possible motions, considering two fundamental soil types and using the 6-axis robotic arm in the Soil-Machine Interaction Laboratory at Northwestern University for actuation. To overcome the high computational demands of existing numerical methods, the project will formulate an efficient simulation technique based on the Sequential Kinematic Method, an approach that utilizes simplified kinematics and an optimization-based solution scheme to decrease computation times significantly. Since force-displacement histories obtained experimentally or through numerical simulation are applicable only to a single motion or load path, a significant breakthrough pursued in this project is the formulation of a semi-analytical framework capable of predicting force-displacement histories under arbitrary motions and loading conditions. Educational and societal impact will be maximized through sustained outreach, training of undergraduate and graduate students, interaction with industry, and dissemination of results internationally across various platforms, including open-source software written in an architecture advised by industry collaborators. Through collaboration with the Chicago Children's Museum and Chicagoland maker fairs, the project aims to stimulate interest in engineering and SMI across a wide range of demographics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该学院早期职业发展计划（CAREER）奖将调查机器与土壤相互作用的物理过程，并开发理论模型，以支持用于建筑，采矿，农业和移动性的未来自主设备的设计。人类使用主要通过试验和错误设计和建造的机器大规模移动，操纵和与土壤互动，用于土木建筑，采矿和农业，而不了解土壤在不同负载条件下如何反应的基本知识。机电一体化和机器人技术的进步可以彻底改变这些机器的设计。由于现有的仿真和设计技术主要是针对在硬表面上运行的设备，因此回答这个问题和其他问题的主要障碍是缺乏预测机器如何在可变形地形上运行的方法。该项目将收集数据，并启动专门针对土壤-机器相互作用（SMI）的综合研究和教育计划，最终将研究各种机器配置和土壤类型。该项目的更广泛影响将通过刺激用于建筑，采矿，农业和移动设备的技术进步来塑造一个新兴的跨学科领域。通过综合教育目标，该项目还将通过包容性的推广和教育活动吸引、激发和教育一批未来的土木工程师，让所有年龄段的学习者从幼儿期开始参与进来。该项目将整合基于基础土壤力学的实验和理论，以获得模型，用于预测机器与土壤接触时的力和反作用力的演变，永久（塑性）变形。显著的新奇在于完整的实验表征的力-位移的历史和变形场在广泛的可能的运动，考虑两个基本的土壤类型和使用6轴机械臂在土壤-机器相互作用实验室在西北大学的驱动。为了克服现有数值方法的高计算要求，该项目将制定一个有效的模拟技术的基础上的顺序运动学方法，一种方法，利用简化的运动学和优化为基础的解决方案，以减少计算时间显着。由于通过实验或数值模拟获得的力-位移历史仅适用于单个运动或载荷路径，因此该项目的一个重大突破是制定一个半分析框架，该框架能够预测任意运动和载荷条件下的力-位移历史。将通过持续的外联活动、本科生和研究生的培训、与行业的互动以及在各种平台上在国际上传播成果，包括在行业合作者建议的架构中编写的开源软件，最大限度地发挥教育和社会影响。通过与芝加哥儿童博物馆和芝加哥制造商博览会的合作，该项目旨在激发广泛人群对工程和SMI的兴趣。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Optimal test methods for determining material parameters

确定材料参数的最佳测试方法

DOI：
发表时间：
2022
期刊：
20th International Conference on Soil Mechanics and Geotechnical Engineering
影响因子：
0
作者：
Hambleton, J. P.;Nally, A.;Küçükyavuz, S.
通讯作者：
Küçükyavuz, S.

Linking the installation response of screw piles to soil strength and ultimate capacity

将螺旋桩的安装响应与土壤强度和极限承载力联系起来