Abstract
There are several types of geotechnical instruments. Some measure deformation, and other measure pressure and stress. In order to manage the geotechnical issues likely to encounter during and after construction, two basic categories of geotechnical instrumentation programmes are usually implemented.
Category A | Measurement of Ground behaviour during construction in order to control the construction process. |
Category B | Monitoring of performance of ground during loading, unloading and soil improvement process. |
By measuring deformations and stresses, progress leading to failure or progress of improvement can be detected. With systematic planning of monitoring frequencies, infrastructure can be built safely without failure by applying the observational method using data from geotechnical instruments installed in accordance with Category A. On the other hand, degree of soil improvement can be verified using monitoring data collected through geotechnical instrument installed in accordance with Category B. In both cases, any rectification required due to unforeseen or unexpected performances can be implemented when the monitoring data collected and interpreted results indicate as an alert. This chapter will walk through several types of geotechnical instrument available in the market to measure respective deformations, strains, stresses and pressures within/underneath and on the earth masses and structural elements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- L :
-
length measured along the casing
- θ :
-
Angle from vertical line
References
Antonello, G., Casagli, N., Farina, P., et al. (2004). Ground-based SAR interferometry for monitoring mass movements. Landslides, 1, 21–28. https://doi.org/10.1007/s10346-003-0009-6
Belli, R., & Inaudi, D. (2017). Distributed sensors for underground deformation monitoring. 9.
Bennett, V., Abdoun, T., Shantz, T., Jang, D., & Thevanayagam, S. (2009). Design and characterization of a compact array of MEMS accelerometers for geotechnical instrumentation. Smart Structures and Systems, 5(6), 663–679.
Bersan, S., Koelewijn, A. R., Putti, M., & Simonini, P. (2019). Large-scale testing of distributed temperature sensing for early detection of piping. Journal of Geotechnical and Geoenvironmental Engineering, 145(9), 04019052. https://doi.org/10.1061/(ASCE)GT.1943-5606.0002058
Birch, G., & Anderson, I. (2011, May). LiDAR monitoring for the Folkestone Warren landslide. Ground Engineering.
Bo, M. W., & Choa, V. (2004). Reclamation and ground improvement. Thomson Learning.
Calcaterra, S., Cesi, C., Di Maio, C., et al. (2012). Surface displacements of two landslides evaluated by GPS and inclinometer systems: A case study in Southern Apennines, Italy. Natural Hazard, 61, 257–266. https://doi.org/10.1007/s11069-010-9633-3
Castagnetti, C., Bertacchini, E., Corsini, A., & Capra, A. (2013). Multi-sensors integrated system for landslide monitoring: Critical issues in system setup and data management. European Journal of Remote Sensing, 46(1), 104–124. https://doi.org/10.5721/EuJRS20134607
Caudal, P., Grenon, M., Turmel, D., et al. (2017). Analysis of a large rock slope failure on the east wall of the LAB chrysotile mine in Canada: LiDAR monitoring and displacement analyses. Rock Mechanics and Rock Engineering, 50, 807–824. https://doi.org/10.1007/s00603-016-1145-3
Cola, S., Girardi, V., Bersan, S., Simonini, P., Schenato, L., & De Polo, F. (2021). An optical fiber-based monitoring system to study the seepage flow below the landside toe of a river levee. Journal of Civil Structural Health Monitoring, 11(3), 691–705. https://doi.org/10.1007/s13349-021-00475-y
Croteau, H. (2022). Innovative application for ground temperature profiling in geotechnical monitoring. Canadian Geotechnique, 3(2), 53–54.
Dardanelli, G., & Pipitone, C. (2017). Hydraulic models and finite elements for monitoring of an earth dam, by using GNSS techniques. Periodica Polytechnica: Civil Engineering, 61(3), 421–433. https://doi.org/10.3311/PPci.8217
Dixon, N., & Spriggs, M. (2007). Quantification of slope displacement rates using acoustic emission monitoring. Canadian Geotechnical Journal, 44(6), 966–976.
Dixon, N., & Spriggs, M. (2011). Apparatus and method for monitoring soil slope displacement rate. UK Patent Application GB 2467419A, Awarded May 2011.
Dixon, N., Hill, R., & Kavanagh, J. (2003). Acoustic emission monitoring of slope instability: Development of an active wave guide system. Institution of Civil Engineers: Geotechnical Engineering Journal, 156(2), 83–95.
Dornstädter, J. (1996). Sensitive monitoring of embankment dams. In S. Johansson & M. Cederstrom (Eds.), Repair and upgrading of dams (pp. 1400–1306). SwedCOLD.
Dornstädter, J., Fabritius, A., & Heinemann, B. (2017). Online alarming for internal erosion. In European working group on internal erosion in embankment dams & their foundations, p. 160.
Drusa, M., & Bulko, R. (2016). Rock slide monitoring by using TDR inclinometers. Civil and Environmental Engineering, 12(2), 137–144.
Dunnicliff, J. (1988). Geotechnical instrumentation for monitoring field performance. Wiley.
Federico, A., Popescu, M., Elia, G., Fidelibus, C., Interno, G., & Murianni, A. (2012). Prediction of time to slope failure: A general framework. Environmental Earth Sciences, 66, 245–256.
Ferhat, G., Malet, J. P., Puissant, A., Caubet, D., & Huber, E. (2017). Geodetic monitoring of the Adroit landslide, Barcelonnette, French Southern Alps. In Proceeding of the 7th international conference on engineering surveying INGEO 2017, Lisbon, Portugal.
Fukuzono, T. (1985). A new method for predicting the failure time of a slope. In Proceedings of the fourth international conference and field workshop on landslides, Tokyo, Japan. Landslide Society, pp. 145–150.
Gokceoglu, C., Kocaman, S., Nefeslioglu, H. A., et al. (2021). Use of multisensor and multitemporal geospatial datasets to extract the foundation characteristics of a large building: A case study. Bulletin of Engineering Geology and the Environment, 80, 3251–3269. https://doi.org/10.1007/s10064-021-02116-6
Gong, W., Luo, Z., Juang, C. H., Huang, H., Zhang, J., & Wang, L. (2014). Optimization of site exploration program for improved prediction of tunnelling-induced ground settlement in clays. Computers and Geotechnics, 56, 69–79.
Jaboyedoff, M., Demers, D., Locat, J., Locat, A., Locat, P., Oppikofer, T., Robitaille, D., & Turme, D. (2009). Use of ground-based LIDAR for the analysis of retrogressive landslides in sensitive clay and of rotational landslides in river banks. Canadian Geotechnical Journal, 46(12), 1379–1390.
Kien, N. T., & Shimizu, N. (2021). Performance of a new low-cost GPS sensor with an average process for slope displacement monitoring. In T. Bui-Tien, L. Nguyen Ngoc, & G. De Roeck (Eds.), Proceedings of the 3rd international conference on sustainability in civil engineering (Lecture notes in civil engineering) (Vol. 145). Springer. https://doi.org/10.1007/978-981-16-0053-1_15
Kuras, P., Ortyl, Ł., Owerko, T., Borecka, A. (2020). Applied geomatics.
Lovisolo, M., Ghirotto, S., Scardia, G., & Battaglio, M. (2003). The use of differential monitoring stability (DMS) for remote monitoring of excavation and landslide movements. In A. Myrvol (Ed.), Proceedings of the sixth international symposium on field measurements in geomechanics (pp. 519–524). Balkema.
Lucieer, A., de Jong, A. M., & Turner, D. (2014). Mapping landslide displacements using structure from motion (SfM) and image correlation of multi-temporal UAV photography. Progress in Physical Geography, 38(1), 97–116.
Mazzanti, P. (2017). Toward transportation asset management: What is the role of geotechnical monitoring? Journal of Civil Structural Health Monitoring, 7, 645–656. https://doi.org/10.1007/s13349-017-0249-0
Mazzanti, P., Bozzano, F., Cipriani, I., et al. (2015). New insights into the temporal prediction of landslides by a terrestrial SAR interferometry monitoring case study. Landslides, 12, 55–68. https://doi.org/10.1007/s10346-014-0469-x
Mazzanti, P., Thompson, P. D., Beckstrand, D. L., & Stanley, D. A. (2016). Geotechnical asset management for Italian transport agencies implementation principles and concepts (pp. 10–12). International Congress on Transport Infrastructure and Systems.
Moriwaki, H., Inokuchi, T., Hattanji, T., Sassa, K., Ochiai, H., & Wang, G. (2004). Failure processes in a full-scale landslide experiment using a rainfall simulator. Landslides, 1, 277–288.
Osasan, K. S., & Afeni, T. B. (2010). Review of surface mine slope monitoring techniques. Journal of Mining Science, 46(2), 177–186.
Rathje, E. M., & Franke, K. (2017). Remote sensing for geotechnical earthquake reconnaissance. Soil Dynamics and Earthquake Engineering, 91, 304–316.
Serrano-Juan, A., Vázquez-Suñè, E., Monserrat, O., Crosetto, M., Hoffmann, C., Ledesma, A., Criollo, R., Pujades, E., Velasco, V., Garcia-Gil, A., & Alcaraz, M. (2016). Gb-SAR interferometry displacement measurements during dewatering in construction works. Case of La Sagrera railway station in Barcelona, Spain. Engineering Geology, 205, 104–115. https://doi.org/10.1016/j.enggeo.2016.02.014
Shimizu, N., Nakashima, S., & Masunari, T. (2014). ISRM suggested method for monitoring rock displacements using the Global Positioning System (GPS). Rock Mechanics and Rock Engineering, 47, 313–328.
Song, Z., Shi, B., Juang, H., et al. (2017). Soil strain-field and stability analysis of cut slope based on optical fiber measurement. Bulletin of Engineering Geology and the Environment, 76, 937–946. https://doi.org/10.1007/s10064-016-0904-4
Stark, T. D., & Choi, H. (2008). Slope inclinometers for landslides. Landslides, 5(3), 339–350. https://doi.org/10.1007/s10346-008-0126-3
Su, M. B., & Chen, Y. J. (1998). Multiple reflection of metallic time domain reflectometry. Exploring Technologies, 22(1), 26–29.
Su, M. B., & Chen, Y. J. (2000). TDR monitoring for integrity of structural systems. Journal of Infrastructure Systems, 6(2), 67–72.
Su, M. B., Chen, I. H., & Liao, C. H. (2009). Using TDR cables and GPS for landslide monitoring in high mountain area. Journal of Geotechnical and Geoenvironmental Engineering – ASCE, 135(8), 1113–1121.
Tedd, P., Powell, J. J., Charles, J. A. S., & Uglow, I. M. (1990). In-situ measurement of earth pressures using push-in spade-shaped pressure cells —10 years’ experience. In Geotechnical instrumentation in practice.
Yin, Y., Wang, H., Gao, Y., & Li, X. (2010). Real-time monitoring and early warning of landslides at relocated Wushan Town, the Three Gorges Reservoir, China. Landslides, 7, 339–349.
Zhang, C. C., Zhu, H. H., & Shi, B. (2016). Role of the interface between distributed fibre optic strain sensor and soil in ground deformation measurement. Scientific Reports, 6, 36469. https://doi.org/10.1038/srep36469
Zhu, H. H., Shi, B., Yan, J. F., Zhang, J., & Wang, J. (2015). Investigation of the evolutionary process of a reinforced model slope using a fiber-optic monitoring network. Engineering Geology, 186, 34–43.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bo, M.W., Barrett, J. (2023). Types of Instruments. In: Geotechnical Instrumentation and Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-34275-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-34275-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34274-5
Online ISBN: 978-3-031-34275-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)