The nature frequency identification of tunnel lining based on the microtremor method

Many tunnels all over the world have been in service for several decades, which require effective inspection methods to assess their health conditions. Microtremor, as a type of ambient vibration originating from natural or artificial oscillations without specific sources, has attracted more and mor...

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Main Authors: Yujing Jiang, Yang Gao, Xuezhen Wu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2016-12-01
Series:Underground Space
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967416300289
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author Yujing Jiang
Yang Gao
Xuezhen Wu
author_facet Yujing Jiang
Yang Gao
Xuezhen Wu
author_sort Yujing Jiang
collection DOAJ
description Many tunnels all over the world have been in service for several decades, which require effective inspection methods to assess their health conditions. Microtremor, as a type of ambient vibration originating from natural or artificial oscillations without specific sources, has attracted more and more attentions in the recent study of the microtremor dynamic properties of concrete structures. In this study, the microtremors of the tunnel lining were simulated numerically based on the Distinct Element Method (DEM). The Power Spectra Density (PSD) of signals obtained from numerical simulations were calculated and the nature frequencies were identified using the peak-picking method. The influences of the rock-concrete joint, the rock type and the concrete type on the nature frequencies were also evaluated. The results of a comprehensive numerical analysis show that the nature frequencies lower than 100 Hz can be identified. As the bonding condition becomes worse, the nature frequencies decrease. The nature frequencies change proportionally with the normal stiffness of the rock-concrete joint. As the concrete grade decreases, the third mode of frequency also decreases gradually while the variation of the first two modes of frequencies can hardly be identified. Additionally, the field microtremor measurements of tunnel lining were also carried out to verify the numerical results.
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spelling doaj.art-b953bdbcd24a41c9b58e5866fd3970742023-09-03T03:54:42ZengKeAi Communications Co., Ltd.Underground Space2467-96742016-12-011210811310.1016/j.undsp.2016.12.001The nature frequency identification of tunnel lining based on the microtremor methodYujing Jiang0Yang Gao1Xuezhen Wu2Graduate School of Engineering, Nagasaki University, Nagasaki 852-8521, JapanKey Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaGraduate School of Engineering, Nagasaki University, Nagasaki 852-8521, JapanMany tunnels all over the world have been in service for several decades, which require effective inspection methods to assess their health conditions. Microtremor, as a type of ambient vibration originating from natural or artificial oscillations without specific sources, has attracted more and more attentions in the recent study of the microtremor dynamic properties of concrete structures. In this study, the microtremors of the tunnel lining were simulated numerically based on the Distinct Element Method (DEM). The Power Spectra Density (PSD) of signals obtained from numerical simulations were calculated and the nature frequencies were identified using the peak-picking method. The influences of the rock-concrete joint, the rock type and the concrete type on the nature frequencies were also evaluated. The results of a comprehensive numerical analysis show that the nature frequencies lower than 100 Hz can be identified. As the bonding condition becomes worse, the nature frequencies decrease. The nature frequencies change proportionally with the normal stiffness of the rock-concrete joint. As the concrete grade decreases, the third mode of frequency also decreases gradually while the variation of the first two modes of frequencies can hardly be identified. Additionally, the field microtremor measurements of tunnel lining were also carried out to verify the numerical results.http://www.sciencedirect.com/science/article/pii/S2467967416300289Tunnel liningFrequencyVibration intensityMicrotremor measurementNumerical simulation
spellingShingle Yujing Jiang
Yang Gao
Xuezhen Wu
The nature frequency identification of tunnel lining based on the microtremor method
Underground Space
Tunnel lining
Frequency
Vibration intensity
Microtremor measurement
Numerical simulation
title The nature frequency identification of tunnel lining based on the microtremor method
title_full The nature frequency identification of tunnel lining based on the microtremor method
title_fullStr The nature frequency identification of tunnel lining based on the microtremor method
title_full_unstemmed The nature frequency identification of tunnel lining based on the microtremor method
title_short The nature frequency identification of tunnel lining based on the microtremor method
title_sort nature frequency identification of tunnel lining based on the microtremor method
topic Tunnel lining
Frequency
Vibration intensity
Microtremor measurement
Numerical simulation
url http://www.sciencedirect.com/science/article/pii/S2467967416300289
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