Research on the Large Deformation Prediction Model and Supporting Measures of Soft Rock Tunnel
المؤلفون المشاركون
Rao, Junying
Tao, Yonghu
Nie, Chongxin
Xue, Yanghao
Xi, Zuowei
Peng, Hao
Xiong, Peng
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-22
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The weak surrounding rock has the characteristics of easy softening, poor integrity, low mechanical strength, etc., which makes it easy to induce different degrees of deformation and damage under excavation disturbance and then seriously affects the stability of the tunnel.
Carrying out soft rock tunnel deformation prediction research and designing the supporting structure according to the predicted value is of great significance to engineering construction and design.
Based on the grey theory, the large deformation of the vault, shoulder, and waist of the soft rock tunnel are predicted, and then the specific bolt support is designed in the maximum predicted value (Smax·R) area.
The control effects of different bolts, spacing (d), length (L) on the maximum displacement (Smax·M), and maximum stress (σmax·M) the surrounding rock are analyzed by numerical simulation.
Results show that the gray model has high prediction accuracy, the best prediction time is one week, and the maximum error is only 2.99%; with the decrease in d, resin bolt support has a significant supporting effect compared with mortar bolt support, with Smax.M and σmax·M reduced by 64.38% and 10.35%, respectively; as the L of bolt increases, compared with the mortar bolt support, the resin bolt support has a more obvious restraining effect on the surrounding rock deformation, and Smax·M and σmax·M are reduced by 28.20% and 10.00%, respectively; when 4.5 m < L < 6.0 m and 0.6 m < d < 0.7 m, resin bolt support should be adopted; in other ranges, mortar bolt support or resin bolt support has a less significant difference in controlling surrounding rock deformation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rao, Junying& Tao, Yonghu& Xiong, Peng& Nie, Chongxin& Peng, Hao& Xue, Yanghao…[et al.]. 2020. Research on the Large Deformation Prediction Model and Supporting Measures of Soft Rock Tunnel. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1122347
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rao, Junying…[et al.]. Research on the Large Deformation Prediction Model and Supporting Measures of Soft Rock Tunnel. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1122347
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rao, Junying& Tao, Yonghu& Xiong, Peng& Nie, Chongxin& Peng, Hao& Xue, Yanghao…[et al.]. Research on the Large Deformation Prediction Model and Supporting Measures of Soft Rock Tunnel. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1122347
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1122347
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