An updated explicit approach to account for undrained cyclic loading effects in offshore monopile foundations

Open Access

Issue		E3S Web Conf. Volume 730, 2026 International Conference on Advances and Innovations in Soft Soil Engineering (Soft Soils 2026)


Article Number		03015
Number of page(s)		8
Section		Constitutive, Numerical, and Machine Learning Models
DOI		https://doi.org/10.1051/e3sconf/202673003015
Published online		03 August 2026

H. Liu, J. A. Abell, A. Diambra, F. Pisanò, Modelling the cyclic ratcheting of sands through memory-enhanced bounding surface plasticity. Géotechnique, 69, 783–800 (2019). https://doi.org/10.1680/jgeot.17.P.307. [Google Scholar]
H. Liu, J. A. Abell, F. Pisanò, Memory-enhanced plasticity modeling of sand behavior under undrained cyclic loading. J. of Geotech. Geoenviron. Eng., 146, No. 11 (2020). https://doi.org/10.1061/(ASCE)GT.1943-5606.0002362 [Google Scholar]
M. Yang, M. Taiebat, Y.F. Dafalias, SANISAND-MSf: a sand plasticity model with memory surface and semifluidised state.. Géotechnique, 72, 227–246. (2022) doi: https://doi.org/10.1680/jgeot.19.P.363 [Google Scholar]
A. Niemunis, T. Wichtmann, & T. Triantafyllidis, A high-cycle accumulation model for sand. Comput. Geotech. 32, 245–263 (2005) https://doi.org/10.1016/j.compgeo.2005.03.002. [Google Scholar]
M. Achmus, M., Y-S. Kuo, K. Abdel-Rahman Behaviour of monopole foundations under cyclic lateral load. Comput. Geotech. 36, 725–735. (2009). https://doi.org/10.1016/j.compgeo.2008.12.003 [Google Scholar]
K.H. Andersen Behaviour of clay subjected to undrained cyclic loading. Proc. 1st Int. Conf. on the Behaviour of Offshore Structures, BOSS’76, Trondheim 1, 392–403. (1976). [Google Scholar]
K.H. Andersen, A. Kleven, and D. Heien. Cyclic soil data for design of gravity structures. J. Geotech. Eng. 114: 517–539. (1988). https://doi.org/10.1061/(ASCE)0733-9410(1988)114:5(517). [Google Scholar]
H.P Jostad and L. Andresen A FE procedure for calculation of displacements and Capacity of foundations subjected to cyclic loading. Proceedings for COMGEO I, Juan-les-Pins, Cote d’Azur, France. (2009). [Google Scholar]
K.H. Andersen. Cyclic soil parameters for offshore foundation design. Frontiers in Offshore Geotechnics III, 5–82. Editor. Vaughan Meyer. (2015). [Google Scholar]
H.P., Jostad, G. Grimstad, K.H. Andersen, and N. Sivasithamparam. A FE procedure for calculation of cyclic behaviour of offshore foundations under partly drained conditions. Front. Offshore Geotech. III 1 (May): 153–172. (2015). [Google Scholar]
H.P. Jostad, H. Liu, N. Sivasithamparam, R. Ragni, Cyclic capacity of monopiles in sand under partially drained conditions: a numerical approach. J. Geotech. Geoenviron. Eng., 149, 1–12 (2022) DOI: 10.1061/JGGEFK.GTENG-10435. [Google Scholar]
H.P. Jostad, G. Grimstad, K.H. Andersen, M. Saue, Y. Shin, D. You. A FE procedure for foundation design of offshore structures–applied to study a potential OWT monopile foundation in the Korean Western Sea. Geotech. Eng. J. of the SEAGS & AGSSEA, 45, 63–72 (2014). https://doi.org/10.14456/seagj.2014.7 [Google Scholar]
Plaxis, 2018. PLAXIS reference manual [Google Scholar]
Seequent, 2025. PLAXIS reference manual [Google Scholar]
G. Grimstad, L. Andresen, H.P. Jostad. NGI‐ADP: Anisotropic shear strength model for clay. Int. J. Num. Anal. Meth. Geomech., 36: 483–497 (2012). https://doi.org/10.1002/nag.1016 [Google Scholar]
J. Kennedy, R. Eberhart. Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks. Vol. IV. 1942–1948 (1995). doi:10.1109/ICNN.1995.488968 [Google Scholar]
R. Ragni, N. Sivasithamparam, H.P. Jostad, Y. Zhang, T. Okuno, H. Sugiyama, K. Fukutake. Efficient modelling of cyclic degradation in monopile design. 9^th Int. Conf. on Offshore Site Investigation Geotechnics, London, 1050-1056 (2023). doi:10.3723/NYJT4115. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.