Technical Papers
Dec 21, 2019

Integrated Approach for Structural Stability Evaluation Using Real-Time Monitoring and Statistical Analysis: Underwater Shield Tunnel Case Study

Publication: Journal of Performance of Constructed Facilities
Volume 34, Issue 2

Abstract

Real-time monitoring of underwater construction is important for structural stability. To prevent tunnel disasters, an integrated analysis framework for tunnel stability evaluation was proposed using real-time monitoring and statistical analysis. A typical underwater shield tunnel, located in the Yangtze River, China, was selected as a case study. A structural health monitoring system (SHMS) was developed to implement real-time monitoring of the water pressure, temperature, and strain during the service period. An analytical model was developed to investigate the mechanical behaviors of the structure based on the monitoring data obtained from the SHMS. To calibrate the model parameters, numerical simulations were carried out using the finite element method with parameters based on the geological conditions for the study site. Consequently, the results indicate that (1) the numerical results agreed well with the analytical results, which showed that the response of the segment strain varied with position and the maximum strain occurred in the arch crown; (2) the segment strain increased with decreasing water pressure, and the maximum value was 4.118×107 when the water pressure changed by 1 kPa; and (3) the strain variation and temperature were proportional, and the maximum value was 13.492×106 when the temperature changed by 1°C. As a potential application, the proposed method was used to predict future behaviors of the structure, which is crucial for preventing disasters, and provides a reference for underwater construction.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work is supported by National Key Research and Development Plan of China (Grant No. 2018YFF01014204) and Fundamental Research Program of China (Grant No. 2015CB057906).

References

Aktan, A. E., F. N. Catbas, K. A. Grimmelsman, and C. J. Tsikos. 2000. “Issues in infrastructure health monitoring for management.” J. Eng. Mech. 126 (7): 711–724. https://doi.org/10.1061/(asce)0733-9399(2000)126:7(711.
Ariznavarreta-Fernández, F., C. González-Palacio, A. Menéndez-Díaz, and C. Ordoñez. 2016. “Measurement system with angular encoders for continuous monitoring of tunnel convergence.” Tunnelling Underground Space Technol. 56 (Jun): 176–185. https://doi.org/10.1016/j.tust.2016.03.014.
Bhalla, S., Y. W. Yang, J. Zhao, and C. K. Soh. 2005. “Structural health monitoring of underground facilities—Technological issues and challenges.” Tunnelling Underground Space Technol. 20 (5): 487–500. https://doi.org/10.1016/j.tust.2005.03.003.
Brownjohn, J. M. W. 2007. “Structural health monitoring of civil infrastructure.” Philos. Trans. R. Soc. A. 365 (1851): 589–622. https://doi.org/10.1098/rsta.2006.1925.
Changjiang River Maritime Safety Administration. 2018. “Information about water levels.” Accessed October 20, 2018. https://www.cjmsa.gov.cn.
Chen, R. P., F. Y. Meng, Y. H. Ye, and Y. Liu. 2018. “Numerical simulation of the uplift behavior of shield tunnel during construction stage.” Soils Found. 58 (2): 370–381. https://doi.org/10.1016/j.sandf.2018.02.007.
Chung, H., B. Chun, B. Kim, and Y. Lee. 2006. “Measurement and analysis of long-term behavior of Seoul metro tunnels using the automatic tunnel monitoring systems.” Tunnelling Underground Space Technol. 21 (3): 316–317. https://doi.org/10.1016/j.tust.2005.12.032.
Draper, N. R., and H. Smith. 2014. Applied regression analysis. London: Wiley.
Fekete, S., and M. Diederichs. 2013. “Integration of three-dimensional laser scanning with discontinuum modelling for stability analysis of tunnels in blocky rockmasses.” Int. J. Rock Mech. Min. Sci. 57 (Jan): 11–23. https://doi.org/10.1016/j.ijrmms.2012.08.003.
Foreman, M. R., C. L. Giusca, J. M. Coupland, and R. K. Leach. 2013. “Determination of the transfer function for optical surface topography measuring instruments—A review.” Meas. Sci. Technol. 24 (5): 1–18. https://doi.org/10.1088/0957-0233/24/5/052001.
Goel, R. K. 2001. “Status of tunnelling and underground construction activities and technologies in India.” Tunnelling Underground Space Technol. 16 (2): 63–75. https://doi.org/10.1016/s0886-7798(01)00035-9.
Han, J., J. Guo, and Y. Jiang. 2013. “Monitoring tunnel profile by means of multi-epoch dispersed 3-D LiDAR point clouds.” Tunnelling Underground Space Technol. 33 (Jan): 186–192. https://doi.org/10.1016/j.tust.2012.08.008.
Hu, H., J. Gao, and Y. Yao. 2014. “Land deformation monitoring in mining area with PPP-AR.” Int. J. Rock Mech. Min. Sci. 24 (2): 207–212. https://doi.org/10.1016/j.ijmst.2014.01.011.
Huang, M., and J. Liu. 2009. “Monitoring and analysis of Shanghai Pudong seawall performance.” J. Perform. Constr. Facil. 23 (6): 399–405. https://doi.org/10.1061/(asce)cf.1943-5509.0000057.
Huang, Z., H. Fu, J. Zhang, W. Chen, and Y. Shi. 2019. “Structural damage evaluation method for metro shield tunnel.” J. Perform. Constr. Facil. 33 (1): 04018097. https://doi.org/10.1061/(asce)cf.1943-5509.0001248.
James, S. W., and R. P. Tatam. 2003. “Optical fibre long-period grating sensors: Characteristics and application.” Meas. Sci. Technol. 14 (5): 49–61. https://doi.org/10.1088/0957-0233/14/5/201.
Jin, D., D. Yuan, S. Liu, X. Li, and W. Luo. 2019. “Performance of existing subway tunnels undercrossed by four closely spaced shield tunnels.” J. Perform. Constr. Facil. 33 (1): 04018099. https://doi.org/10.1061/(asce)cf.1943-5509.0001230.
Johnson, R. A., and D. W. Wichern. 2014. Applied multivariate statistical analysis. New York: Prentice-Hall.
Kavvadas, M. J. 2005. “Monitoring ground deformation in tunnelling: current practice in transportation tunnels.” Eng. Geol. 79 (1–2): 93–113. https://doi.org/10.1016/j.enggeo.2004.10.011.
Kim, S., and D. M. Frangopol. 2010. “Optimal planning of structural performance monitoring based on reliability importance assessment.” Probab. Eng. Mech. 25 (1): 86–98. https://doi.org/10.1016/j.probengmech.2009.08.002.
Koizumi, A., and H. Murakami. 1988. “Study on the analytical model of shield tunnel in longitudinal direction.” Doboku Gakkai Ronbunshu 394 (Jun): 79–88. https://doi.org/10.2208/jscej.1988.394_79.
Lato, M. J., and M. S. Diederichs. 2014. “Mapping shotcrete thickness using LiDAR and photogrammetry data: Correcting for over-calculation due to rockmass convergence.” Tunnelling Underground Space Technol. 41 (Mar): 234–240. https://doi.org/10.1016/j.tust.2013.12.013.
Lee, J. S., I. Choi, H. U. Lee, and H. Lee. 2005. “Damage identification of a tunnel linear based on deformation data.” Tunnelling Underground Space Technol. 20 (1): 73–80. https://doi.org/10.1016/j.tust.2004.05.005.
Li, Y., S. Xu, and J. Liu. 2015. “A new convergence monitoring system for tunnel or drift based on draw-wire displacement sensor.” Tunnelling Underground Space Technol. 49 (Jun): 92–97. https://doi.org/10.1016/j.tust.2015.04.005.
Liu, W., X. Wu, L. Zhang, Y. Wang, and J. Teng. 2018. “Sensitivity analysis of structural health risk in operational tunnels.” Autom. Constr. 94 (Oct): 135–153. https://doi.org/10.1016/j.autcon.2018.06.008.
Mezger, F., G. Anagnostou, and H. J. Ziegler. 2013. “The excavation-induced convergences in the Sedrun section of the Gotthard Base Tunnel.” Tunnelling Underground Space Technol. 38 (Sep): 447–463. https://doi.org/10.1016/j.tust.2013.07.016.
Pandey, A. K., and M. Biswas. 1994. “Damage detection in structures using changes in flexibility.” J. Sound Vib. 169 (1): 3–17. https://doi.org/10.1006/jsvi.1994.1002.
Peeters, B., and D. R. Guido. 2000. “One year monitoring of the Z24 bridge: Environmental influences versus damage events.” Earthquake Eng. Struct. Dyn. 30 (2): 149–171. https://doi.org/10.1002/1096-9845(200102)30:2%3C149::AID-EQE1%3E3.0.CO;2-Z.
Roger, F., and B. John. 2011. Statistics. London: Harper Collins.
Salazar, F., R. Morán, M. Á. Toledo, and E. Oñate. 2015. “Data-based models for the prediction of dam behavior: A review and some methodological considerations.” Arch. Comput. Methods Eng. 24 (1): 1–21. https://doi.org/10.1007/s11831-015-9157-9.
Shirley, D., W. Stanley, and C. Daniel. 2001. Statistics for research. London: Wiley.
Simeoni, L., and L. Zanei. 2009. “A method for estimating the accuracy of tunnel convergence measurement using tape distometers.” Int. J. Rock Mech. Min. Sci. 46 (4): 796–802. https://doi.org/10.1016/j.ijrmms.2008.11.004.
Taylor, D. W. 1958. Fundamental of soil mechanics. London: Wiley.
Van der Auweraer, H., and B. Peeters. 2003. “International research projects on structural health monitoring: An overview.” Struct. Health Monit. 2 (4): 341–358. https://doi.org/10.1177/147592103039836.
Vapnik, V. N. 1998. Statistical learning theory. London: Wiley.
Worden, K., and J. M. Dulieu-Barton. 2004. “An overview of intelligent fault detection in systems and structures.” Struct. Health Monit. 3 (1): 85–98. https://doi.org/10.1177/1475921704041866.
Yang, J., W. Chen, M. Li, and X. Tan. 2018. “Structural health monitoring and analysis of an underwater TBM tunnel.” Tunnelling Underground Space Technol. 82 (Dec): 235–247. https://doi.org/10.1016/j.tust.2018.08.053.
Yarnold, M. T., and F. L. Moon. 2015. “Temperature-based structural health monitoring baseline for long-span bridges.” Eng. Struct. 86 (Mar): 157–167. https://doi.org/10.1016/j.engstruct.2014.12.042.

Information & Authors

Information

Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 34Issue 2April 2020

History

Received: Jan 18, 2019
Accepted: Jul 3, 2019
Published online: Dec 21, 2019
Published in print: Apr 1, 2020
Discussion open until: May 21, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Student, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Ph.D. Student, Univ. of Chinese Academy of Science, Beijing 100049, China. ORCID: https://orcid.org/0000-0002-4919-7241. Email: [email protected]
Weizhong Chen [email protected]
Professor, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Professor, Research Center of Geotechnical and Structural Engineering, Shandong Univ., Jinan 250100, China (corresponding author). Email: [email protected]
Ph.D. Student, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Ph.D. Student, Univ. of Chinese Academy of Science, Beijing 100049, China. Email: [email protected]
Professor, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Professor, Univ. of Chinese Academy of Science, Beijing 100049, China. ORCID: https://orcid.org/0000-0001-8648-4437. Email: [email protected]
Jianping Yang [email protected]
Associate Professor, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Assistant Professor, Univ. of Chinese Academy of Science, Beijing 100049, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share