Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate
المؤلفون المشاركون
Wang, Jianxi
Ren, Zhiqiang
Chen, Jinjie
Chen, Long
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-20
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
This paper proposes a rail profile optimization method that takes account of wear rate within design cycle so as to minimize rail wear at the curve in heavy haul railway and extend the service life of rail.
Taking rail wear rate as the object function, the vertical coordinate of rail profile at range optimization as independent variable, and the geometric characteristics and grinding depth of rail profile as constraint conditions, the support vector machine regression theory was used to fit the nonlinear relationship between rail profile and its wear rate.
Then, the profile optimization model was built.
Based on the optimization principle of genetic algorithm, the profile optimization model was solved to achieve the optimal rail profile.
A multibody dynamics model was used to check the dynamic performance of carriage running on optimal rail profile.
The result showed that the average relative error of support vector machine regression model remained less than 10% after a number of training processes.
The dynamic performance of carriage running on optimized rail profile met the requirements on safety index and stability.
The wear rate of optimized profile was lower than that of standard profile by 5.8%; the allowable carrying gross weight increased by 12.7%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Jianxi& Ren, Zhiqiang& Chen, Jinjie& Chen, Long. 2017. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Jianxi…[et al.]. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Jianxi& Ren, Zhiqiang& Chen, Jinjie& Chen, Long. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191604
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر