INGENIO del 19 Marzo 2026, Imready Srl – RSM –
Abstract
The design of large geotechnical structures is significantly affected by the inherent variability of soil properties and the uncertainty associated with geotechnical models. Traditional deterministic approaches, commonly adopted in practical engineering and implemented in design standards such as Eurocode 7, address uncertainties through partial safety factors. However, this framework does not explicitly quantify the probability of failure nor the reliability level of the structure.
This paper investigates the application of reliability-based design (RBD) principles to large geotechnical structures, focusing on tunnel linings and deep retaining systems. The study explores the relationship between the partial factor format of Eurocode 7 and probabilistic design approaches, highlighting how soil variability and model uncertainty influence structural reliability. A probabilistic framework is presented in which geotechnical parameters are treated as random variables and structural performance is evaluated through reliability indices and failure probabilities.
Applications to tunnel linings and retaining structures are discussed to demonstrate the potential benefits of reliability-based approaches in improving design transparency, optimizing safety margins, and enhancing risk management in large underground and geotechnical infrastructure.
1. Introduction
Geotechnical engineering is inherently affected by a high level of uncertainty due to the natural variability of soil properties, limited site investigation data, and simplifications in analytical and numerical models. Unlike structural materials such as steel or concrete, soil exhibits significant spatial variability and complex stress–strain behaviour, which introduces substantial uncertainty into the design process.
Current design practice in Europe is largely governed by Eurocode 7 (EN 1997), which adopts a semi-probabilistic limit state design format based on partial safety factors. While this framework provides a practical methodology for design verification, it does not explicitly quantify the reliability level associated with the adopted safety factors.
In recent decades, reliability-based design (RBD) methods have gained increasing attention in geotechnical engineering. These approaches allow engineers to explicitly evaluate the probability of failure and the reliability index of a structure by incorporating statistical descriptions of soil properties and model uncertainties.
Large geotechnical structures, such as tunnel linings and deep retaining systems, represent particularly suitable applications for reliability-based approaches. These structures are characterized by complex soil–structure interaction, high construction costs, and significant consequences in case of failure. Therefore, improving the understanding and quantification of uncertainty can lead to more rational and optimized design solutions.
The objective of this paper is to explore the integration of reliability-based design concepts with the Eurocode 7 framework, with specific applications to tunnel linings and retaining structures.
2. Sources of Uncertainty in Geotechnical Design
Uncertainty in geotechnical engineering arises from several sources that can significantly influence the performance of underground structures.
2.1 Soil variability
Natural soils are highly heterogeneous materials whose properties vary both spatially and with depth. Parameters such as:
- shear strength
- stiffness
- permeability
- compressibility
may show considerable variability even within relatively small areas.
This variability is commonly represented through statistical parameters such as:
- mean value
- standard deviation
- coefficient of variation (COV)
- probability distribution functions.
Typical coefficients of variation reported in literature are:
- friction angle: 5÷15%
- undrained shear strength: 20÷40%
- stiffness modulus: 30÷60%.
Such variability can significantly affect the stability and serviceability performance of geotechnical structures.
2.2 Model uncertainty
In addition to soil variability, uncertainties arise from the analytical or numerical models used in design. Simplified analytical formulations often rely on assumptions that may not fully represent the real soil–structure interaction mechanisms.
Model uncertainty can arise from:
- simplifications in constitutive soil models
- boundary condition assumptions
- construction sequence simplifications
- limitations of empirical correlations.
These uncertainties can significantly influence calculated structural responses such as ground settlements, lining forces, and wall bending moments.
2.3 Measurement and investigation uncertainty
Site investigations provide limited information about subsurface conditions. Borehole spacing, sampling quality, and laboratory testing procedures all contribute to uncertainty in the estimated soil parameters.
Consequently, the parameters used in design represent only an approximation of the true ground conditions.
Please download the complete PDF file by clicking the button above.
| References Chiarelli, M., 2009. L’Arte del costruire gallerie – Editrice | Uni Service, Trento, 2009 ISBN: 978-88-6178-323-2 Chiarelli, M., 2025. Innovazioni tecnologiche nella stabilizzazione dei pendii: modelli costitutivi e simulazioni numeriche – INGENIO del 01 Luglio 2025, Imready Srl – RSM Chiarelli, M., 2025. L’impiego della geofisica e del remote sensing nel monitoraggio dei fenomeni franosi: stato dell’arte, sviluppi recenti e prospettive future – INGENIO del 18 Settembre 2025, Imready Srl – RSM Chiarelli, M., 2019. Tunnel esistenti: vulnerabilità sismica, monitoraggio delle strutture, piano sul ciclo di vita degli interventi” – INGENIO del 16 ottobre 2019, Imready Srl – RSM Chiarelli, M., 2020. Tunnel realizzati in subalveo. Il caso del tunnel sotto lo Stretto di Messina – INGENIO del 06 Ottobre 2020, Imready Srl – RSM Allen, D.E., Nowak, A.S., 1994. Calibration of partial safety factors for structural reliability. Journal of Structural Engineering, 120(5), pp.1405–1424. Ang, A.H.S., Tang, W.H., 2007. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering. 2nd ed. Wiley, New York. Baecher, G.B., Christian, J.T., 2003. Reliability and Statistics in Geotechnical Engineering. Wiley, Chichester. Baecher, G.B., Christian, J.T., 2011. Reliability and Statistics in Geotechnical Engineering. 2nd ed. Wiley. Brinkgreve, R.B.J., Kumarswamy, S., Swolfs, W., 2016. PLAXIS Finite Element Code for Soil and Rock Analyses. Balkema, Rotterdam. Christian, J.T., Ladd, C.C., Baecher, G.B., 1994. Reliability applied to slope stability analysis. Journal of Geotechnical Engineering, ASCE, 120(12), pp.2180–2207. Duncan, J.M., 2000. Factors of safety and reliability in geotechnical engineering. Journal of Geotechnical and Geoenvironmental Engineering, 126(4), pp.307–316. El-Ramly, H., Morgenstern, N.R., Cruden, D.M., 2002. Probabilistic slope stability analysis for practice. Canadian Geotechnical Journal, 39(3), pp.665–683. EN 1997-1, 2004. Eurocode 7: Geotechnical Design – Part 1: General Rules. European Committee for Standardization (CEN), Brussels. EN 1990, 2002. Eurocode: Basis of Structural Design. CEN, Brussels. Fenton, G.A., Griffiths, D.V., 2008. Risk Assessment in Geotechnical Engineering. Wiley, New York. Griffiths, D.V., Fenton, G.A., 2004. Probabilistic methods in geotechnical engineering. In: Proc. International Conference on Applications of Statistics and Probability in Civil Engineering. Hasofer, A.M., Lind, N.C., 1974. Exact and invariant second-moment code format. Journal of the Engineering Mechanics Division, ASCE, 100(1), pp.111–121. Honjo, Y., 2011. Challenges in geotechnical reliability based design. Geotechnical Engineering Journal of the SEAGS & AGSSEA, 42(1), pp.9–16. Low, B.K., Tang, W.H., 2007. Efficient spreadsheet algorithm for first-order reliability method. Journal of Engineering Mechanics, 133(12), pp.1378–1387. Phoon, K.K., Kulhawy, F.H., 1999. Characterization of geotechnical variability. Canadian Geotechnical Journal, 36(4), pp.612–624. Phoon, K.K., Ching, J., 2015. Risk and Reliability in Geotechnical Engineering. CRC Press. Rackwitz, R., Fiessler, B., 1978. Structural reliability under combined random load sequences. Computers & Structures, 9(5), pp.489–494. Schweckendiek, T., 2014. Geotechnical Safety and Reliability. Wiley. Tang, W.H., 1971. A probabilistic approach to design of earth slopes. Canadian Geotechnical Journal, 8(3), pp.275–287. Terzaghi, K., Peck, R.B., Mesri, G., 1996. Soil Mechanics in Engineering Practice. 3rd ed. Wiley. Einstein, H.H., Schwartz, C.W., 1979. Simplified analysis for tunnel supports. Journal of the Geotechnical Engineering Division, ASCE. Oreste, P., 2005. A probabilistic design approach for tunnel supports. International Journal of Rock Mechanics and Mining Sciences. Lee, K.M., Hou, X., Ge, X., Tang, Y., 2001. An analytical solution for tunnelling-induced ground movements. International Journal for Numerical and Analytical Methods in Geomechanics. Loganathan, N., Poulos, H.G., 1998. Analytical prediction for tunnelling-induced ground movements. Journal of Geotechnical and Geoenvironmental Engineering. Do, N.A., Dias, D., Oreste, P., Djeran-Maigre, I., 2014. A new numerical approach to the hyperstatic reaction method for segmental tunnel linings. Tunnelling and Underground Space Technology. |
