کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
799005 1467287 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mobility algorithm evaluation using a consolidated database developed for wheeled vehicles operating on dry sands
ترجمه فارسی عنوان
ارزیابی الگوریتم تحرک با استفاده از یک پایگاه داده تلفیقی برای وسایل نقلیه چرخدار که در ماسه های خشک طراحی شده اند
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
چکیده انگلیسی


• A database of 5253 records was created from tests with wheeled vehicles in dry sand.
• The database includes drawbar pull, torque, traction, motion resistance, sinkage, and slip.
• The database was used to evaluate Vehicle Terrain Interaction (VTI) algorithms.
• The comparison results suggest that the VTI algorithms can be further improved.

A substantial number of laboratory and field tests have been conducted to assess performance of various wheel designs in loose soils. However, there is no consolidated database which includes data from several sources. In this study, a consolidated database was created on tests conducted with wheeled vehicles operating in loose dry sand to evaluate existing soil mobility algorithms. The database included wheels of different diameters, widths, heights, and inflation pressures, operating under varying loading conditions. Nine technical reports were identified containing 5253 records, based on existing archives of laboratory and field tests of wheels operating in loose soils. The database structure was assembled to include traction performance parameters such as drawbar pull, torque, traction, motion resistance, sinkage, and wheel slip. Once developed, the database was used to evaluate and support validation of closed form solutions for these variables in the Vehicle Terrain Interface (VTI) model. The correlation between predicted and measured traction performance parameters was evaluated. Comparison of the predicted versus measured performance parameters suggests that the closed form solutions within the VTI model are functional but can be further improved to provide more accurate predictions for off-road vehicle performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Terramechanics - Volume 63, February 2016, Pages 13–22
نویسندگان
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