Structural mechanics [A probabilistic study of nonlinear behavior in beams resting on tensionless soil with geometric considerations]
##plugins.themes.academic_pro.article.main##
Abstract
The nonlinear analysis of a beam resting on nonlinear random tensionless soil was studied with the aim of quantifying the influence of the spatial variability of the tension soil characteristics on the behavior of the beam and illustrating the importance of the geometric nonlinear analysis of a beam. The soil-structure interaction mechanism is taken into account where the soil is modeled as nonlinear. Due to large deflections and moderate rotations of the beam, the Von-Kàrman type nonlinearity based on the finite element formulation of nonlinear beam response is adopted, and the frictional resistance at the beam’s interface is taken into account. The study assesses the impact of various factors, including geometric and material nonlinearities, as well as the spatial variability of soil properties, aiming to understand the behavior of the beam in real-world conditions. Additionally, the study seeks to determine the effectiveness of a probabilistic approach in evaluating the reliability of the beam’s response. The results indicate that the probabilistic approach of the soil and the geometric nonlinearity of the beam serve a major role in the evaluations of the beam response.
Keywords
coefficient of subgrade reaction (vertical, horizontal), FEM, geometric and material nonlinearity, Monte Carlo method, soil-structure interaction, spatial variability

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
- Ayoub, A. (2003). Mixed formulation of nonlinear beam on foundation elements. Comptures & Structures, 81(7), 411-421. DOI: https://doi.org/10.1016/S0045-7949(03)00015-4
- Bowles, J. (1988). Foundation analysis and design. New York, NY: McGraw-Hill, Inc.
- Fenton, G. A., & Griffiths, D. V. (2003). Bearing-capacity prediction of spatially random c φ soils. Canadian Geotechnical Journal, 40(1), 54-65. DOI: https://doi.org/10.1139/t02-086
- Fenton, G. A., & Vanmarcke, E. H. (1990). Simulation of random fields via local average subdivision. Journal of Engineering Mechanics, 116(8), 1733-1749. DOI: https://doi.org/10.1061/(ASCE)0733-9399(1990)116:8(1733)
- Griffiths, D., Paiboon, J., Huang, J., & Fenton, G. A. (2008). Numerical analysis of beams on random elastic foundations. Paper presented at the Proceedings of the 9th international congress on numerical methods in engineering and scientific applications, CIMENICS.
- Irschik, H., & Gerstmayr, J. (2009). A continuum mechanics based derivation of Reissner’s large-displacement finite-strain beam theory: The case of plane deformations of originally straight Bernoulli-Euler beams. Acta Mechanica, 206(1/2), 1-21. DOI: https://doi.org/10.1007/s00707-008-0085-8
- Jang, T. S. (2013). A new semi-analytical approach to large deflections of Bernoulli–Euler-v. Karman beams on a linear elastic foundation: Nonlinear analysis of infinite beams. International Journal of Mechanical Sciences, 66, 22-32. DOI: https://doi.org/10.1016/j.ijmecsci.2012.10.005
- Kordkheili, S. H., & Bahai, H. (2008). Non-linear finite element analysis of flexible risers in presence of buoyancy force and seabed interaction boundary condition. Archive of Applied Mechanics, 78, 765-774. DOI: https://doi.org/10.1007/s00419-007-0190-5
- Kordkheili, S. H., Bahai, H., & Mirtaheri, M. M. (2011). An updated Lagrangian finite element formulation for large displacement dynamic analysis of three-dimensional flexible riser structures. Ocean Engineering, 38(5/6), 793-803. DOI: https://doi.org/10.1016/j.oceaneng.2011.02.001
- Lacasse, S. (2001). Geotechnical solutions for the offshore synergy of research and practice. Houston, TX: University of Houston.
- Mullapudi, R., & Ayoub, A. (2010). Nonlinear finite element modeling of beams on two-parameter foundations. Computers and Geotechnics, 37(3), 334-342. DOI: https://doi.org/10.1016/j.compgeo.2009.11.006
- Nedjar, D., Hamane, M., Bensafi, M., Elachachi, S., & Breysse, D. (2007). Seismic response analysis of pipes by a probabilistic approach. Soil Dynamics and Earthquake Engineering, 27(2), 111-115. DOI: https://doi.org/10.1016/j.soildyn.2006.06.001
- Phoon, K.-K., & Kulhawy, F. H. (1999). Evaluation of geotechnical property variability. Canadian Geotechnical Journal, 36(4), 625-639. DOI: https://doi.org/10.1139/t99-039
- Popescu, R., Deodatis, G., & Nobahar, A. (2005). Effects of random heterogeneity of soil properties on bearing capacity. Probabilistic Engineering Mechanics, 20(4), 324-341. DOI: https://doi.org/10.1016/j.probengmech.2005.06.003
- Reddy, J. N. (2015). An introduction to nonlinear finite element analysis: With applications to heat transfer, fluid mechanics, and solid mechanics. Oxford, UK: Oxford University Press. DOI: https://doi.org/10.1093/acprof:oso/9780199641758.001.0001
- Santos, H. A. F. A. (2015). A novel updated Lagrangian complementary energy-based formulation for the elastica problem: Force-based finite element model. Acta Mechanica, 226(4), 1133-1151. DOI: https://doi.org/10.1007/s00707-014-1237-7
- Sapountzakis, E., & Kampitsis, A. E. (2011). Nonlinear analysis of shear deformable beam-columns partially supported on tensionless three-parameter foundation. Archive of Applied Mechanics, 81, 1833-1851. DOI: https://doi.org/10.1007/s00419-011-0521-4
- Sapountzakis, E., & Kampitsis, A. E. (2013). Inelastic analysis of beams on two-parameter tensionless elastoplastic foundation. Engineering Structures 48, 389-401. DOI: https://doi.org/10.1016/j.engstruct.2012.09.012
- Seguini, M., & Nedjar, D. (2017a). Modelling of soil-structure interaction behaviour: Geometric nonlinearity of buried structures combined to spatial variability of soil. European Journal of Environmental Civil Engineering, 21(10), 1217-1236. DOI: https://doi.org/10.1080/19648189.2016.1153525
- Seguini, M., & Nedjar, D. (2017b). Nonlinear analysis of deep beam resting on linear and nonlinear random soil. Arabian Journal for Science Engineering, 42, 3875-3893. DOI: https://doi.org/10.1007/s13369-017-2449-7
- Seguini, M., & Nedjar, D. (2020). Dynamic and probabilistic analysis of shear deformable pipeline resting on two parameter foundation. Periodica Polytechnica Civil Engineering, 64(2), 430-437. DOI: https://doi.org/10.3311/PPci.14927
- Seguini, M., Khatir, S., Nedjar, D., & Wahab, M. A. (2022). Machine learning for predicting pipeline displacements based on soil rigidity. Paper presented at the Proceedings of the 10th International Conference on Fracture Fatigue and Wear: FFW 2022, 2-3 August, Ghent University, Belgium. DOI: https://doi.org/10.1007/978-981-19-7808-1_4
- VanMarcke, E. H. (1983). Random fields: Analysis and synthesis. Cambridge, MA: MIT Press.