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Inversion Method of Initial In Situ Stress Field Based on BP Neural Network and Applying Loads to Unit Body
المؤلفون المشاركون
Feng, Tao
Li, Cunbao
Feng, Gan
Deng, Jianhui
Zhang, Ru
Zhou, Xuejun
Xu, Zhengxuan
Zhang, Guangze
Zhang, Zhilong
Zhang, Zetian
Li, Xiaopeng
Wang, Dong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-20
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The initial in situ stress field is the fundamental factor causing the deformation and failure of underground engineering and is an important basis for the feasibility analysis, design, and construction of underground engineering.
However, it is difficult to obtain the whole in situ stress field of large-scale underground engineering in difficult and dangerous areas by field measurement.
In view of the fact that the measured in situ stress components (σxx, σyy, σzz, τxy, τxz, τyz) of Sichuan-Tibet Railway in China are linear with the buried depth, a method is proposed to solve the in situ stress by applying corresponding loads to all unit bodies in the calculation area based on BP neural network and FLAC3D.
Through this method, the in situ stress of the tunnel is inverted.
The results show that both the maximum principal stress and minimum principal stress increase with the increase of buried depth, and when the tunnel passes through faults or anticlines, the main stress will suddenly drop.
Furthermore, compared with the results of the multiple linear regression method, it is found that the proposed method has higher accuracy; especially for the simulation of the maximum horizontal principal stress and vertical stress, the average relative error is reduced by 26.44% and 77.27%, respectively.
The research in this paper can provide a new idea for the initial in situ stress inversion of engineering.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Xiaopeng& Zhou, Xuejun& Xu, Zhengxuan& Feng, Tao& Wang, Dong& Deng, Jianhui…[et al.]. 2020. Inversion Method of Initial In Situ Stress Field Based on BP Neural Network and Applying Loads to Unit Body. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1123717
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Xiaopeng…[et al.]. Inversion Method of Initial In Situ Stress Field Based on BP Neural Network and Applying Loads to Unit Body. Advances in Civil Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1123717
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Xiaopeng& Zhou, Xuejun& Xu, Zhengxuan& Feng, Tao& Wang, Dong& Deng, Jianhui…[et al.]. Inversion Method of Initial In Situ Stress Field Based on BP Neural Network and Applying Loads to Unit Body. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1123717
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123717
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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