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The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method
المؤلفون المشاركون
Zhou, Biao
Xie, Xiongyao
Wang, Xiaojian
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-02
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
With the rapid development of underground engineering in China, the heavy structural maintenance work followed is expected to be a great challenge in the future.
The development also provides a promising application prospect for the newly developed vibration-based health assessment and monitoring methods.
However, the fact that tunnels are embedded in soil makes collecting and identifying the vibration characteristics more difficult, especially for the online monitoring.
In this paper, a new identification method that combines the natural excitation technique (NExT) and stochastic subspace identification (SSI) method is developed.
The new method is compared with the traditional SSI method, and mode frequency analysis is made based on a series of field tests carried out at the subway and power tunnel.
It is found that both stability and efficiency of the mode frequency identification have been greatly improved, and it more suitable for online monitoring.
Meanwhile, a mathematical model is used to analyze the original mode characteristics and the influence of soil coupling.
The results are also compared with the field tests results by using the NExT-SSI method, and some recommendations are also made for how to choose the vibration modals for vibration-based monitoring in the tunnel.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Biao& Xie, Xiongyao& Wang, Xiaojian. 2018. The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method. Shock and Vibration،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215393
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Biao…[et al.]. The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method. Shock and Vibration No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215393
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Biao& Xie, Xiongyao& Wang, Xiaojian. The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215393
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1215393
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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