Monitoring of Transport Tunnel Deformation at the Construction Stage

Bryn, Mikhail Y.; Afonin, D.A.; Bogomolova, N. N.; Nikitchin, A.A.

doi:10.1016/j.proeng.2017.05.066

Cited by 5 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For any symmetrical matrix A, there is a diagonal matrix D and a matrix E of eigenvectors of A arranged as columns, such that A = EDE T and each row of matrix P is an eigenvector of 1 n XX T , such that C Y may be written as…”

Section: Singular Value Decomposition Methodsmentioning

confidence: 99%

“…The current condition of operating tunnels is monitored by various agencies, and continually advancing monitoring techniques are widely used in tunnel engineering and geoengineering. Globally, most medium and long tunnels are equipped with structural monitoring systems to ensure the tunnel's safety; these include technologically advanced methods such as machine vision and monitoring through measurement reference networks [1,2]. However, commonly in practice, the monitoring system cannot efficiently use the recorded data-for instance, if it does not include intelligent analysis or other capabilities [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels

Xing

Yao

et al. 2022

Symmetry

View full text Add to dashboard Cite

In order to extract the valuable information from massive and usually unstructured datasets, increasingly, a novel nonparametric approach is proposed for detecting early signs of structural deterioration in civil infrastructure systems from vast field-monitoring datasets. The process adopted six-sample sliding window overtime at one-hour time increments to overcome the fact that the sampling times were not precisely consistent at all monitoring points. After data processing by this method, the eigenvalues and eigenvectors were obtained for each moving window, and then an evaluation index was constructed. Monitored tunnel data were analyzed using the proposed method. The required information extracted from an individual moving window is represented by a set of principal components, which become the new orthogonal variables. The resulting evaluation indicator was strongly correlated with measured and calculated values up to 0.89, even for tiny monitoring datasets. Experiments have verified the rationality and effectiveness of the algorithm, which provides a reference for the application of the method in the monitoring data processing.

show abstract

Section: Singular Value Decomposition Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels

Xing

Yao

et al. 2022

Symmetry

View full text Add to dashboard Cite

show abstract

“…The results indicated that upon the shear failure of the composite specimens, the amplitudes and peak values of the monitoring signals decreased significantly, and the shear failure and damage indices of the composite specimens increased abruptly and approached a value of 1. The feasibility and reliability of the piezoelectric active sensing method, with respect to the monitoring of the shear failure of composite rocks, was therefore experimentally demonstrated in this study.Sensors 2020, 20, 1376 2 of 17 the damage, and issue timely warnings [6,7]. It is therefore necessary to conduct further research on the shear failure monitoring of composite rocks.At present, studies have been conducted with respect to the stability evaluation of rocks [8,9] and rock failure monitoring [10][11][12].…”

mentioning

confidence: 99%

“…Sensors 2020, 20, 1376 2 of 17 the damage, and issue timely warnings [6,7]. It is therefore necessary to conduct further research on the shear failure monitoring of composite rocks.…”

mentioning

confidence: 99%

Experimental Research on Shear Failure Monitoring of Composite Rocks Using Piezoelectric Active Sensing Approach

Liu

Wang

et al. 2020

Sensors

View full text Add to dashboard Cite

Underground space engineering structures are generally subject to extensive damages and significant deformation. Given that composite rocks are prone to shear failure, which cannot be accurately monitored, the piezoelectric active sensing method and wavelet packet analysis method were employed to conduct a shear failure monitoring test on composite rocks in this study. For the experiment, specimens were prepared for the simulation of the composite rocks using cement. Two pairs of piezoelectric smart aggregates (SAs) were embedded in the composite specimens. When the specimens were tested using the direct shear apparatus, an active sensing-based monitoring test was conducted using the embedded SAs. Moreover, a wavelet packet analysis was conducted to compute the energy of the monitoring signal; thus allowing for the determination of the shear damage index of the composite specimens and the quantitative characterization of the shear failure process. The results indicated that upon the shear failure of the composite specimens, the amplitudes and peak values of the monitoring signals decreased significantly, and the shear failure and damage indices of the composite specimens increased abruptly and approached a value of 1. The feasibility and reliability of the piezoelectric active sensing method, with respect to the monitoring of the shear failure of composite rocks, was therefore experimentally demonstrated in this study.

show abstract

A health monitoring system for inverted arch of salt rock tunnel based on laser level deformation monitor and wFBG

Zhou

et al. 2021

Measurement

View full text Add to dashboard Cite

Monitoring of Transport Tunnel Deformation at the Construction Stage

Cited by 5 publications

References 2 publications

A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels

A Sliding Windows Singular Decomposition Model of Monitoring Data for Operational Tunnels

Experimental Research on Shear Failure Monitoring of Composite Rocks Using Piezoelectric Active Sensing Approach

A health monitoring system for inverted arch of salt rock tunnel based on laser level deformation monitor and wFBG

Contact Info

Product

Resources

About