Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine
المؤلفون المشاركون
Huang, Man
Xia, Cia-chu
Qian, Xin
Hong, Chenjie
Luo, Zhanyou
Du, Shigui
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-19
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
This study mainly establishes a novel intelligent assessment model for peak shear strength of rock joints based on the relevance vector machine (RVM).
RVM is a state-of-the-art soft computing technique that has been rarely utilized in joint shear strength assessment.
To establish the hybrid intelligent model, three-dimensional scanning tests and direct shear tests on 36 granite joint specimens were conducted.
The peak shear strength ratio (τp/σn) is perceived as an explanation of four types of influencing factors, including joint surface roughness, strength of rock material, basic friction angle, and normal stress.
In particular, the compressive strength and tensile strength of rock material are first considered together.
A total of 36 experimental data were used in this study to train the RVM model to predict the peak shear strength of rock joints.
The performance of the RVM model was assessed using the direct shear test data of rock joints collected from previous researches.
Four different kinds of kernel functions were adopted to obtain the optimal model.
Results show that the proposed model is significantly efficient in predicting the peak shear strength of rock joints.
The proposed model is also a promising tool for peak shear strength of rock joints and provides a new research approach to research the mechanical properties of rock joints.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xia, Cia-chu& Huang, Man& Qian, Xin& Hong, Chenjie& Luo, Zhanyou& Du, Shigui. 2019. Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195075
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xia, Cia-chu…[et al.]. Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1195075
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xia, Cia-chu& Huang, Man& Qian, Xin& Hong, Chenjie& Luo, Zhanyou& Du, Shigui. Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195075
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195075
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