Formulation and implementation of a practical multi-surface soil plasticity model

Whyte, Scott; Burd, H. J.; Martin, Constance; Rattley, M.J.

doi:10.1016/j.compgeo.2019.05.007

Cited by 17 publications

(7 citation statements)

References 48 publications

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“…1) κ* 0.5 Variation of hardening slope h p 1 for cyclic modelling of piles and conductors (e.g. Whyte et al 2020), and the PICSI model provides an overlay that captures soil softening and consolidation. This opens up the possibility of efficiently modelling the full 'whole life' history of changing soil support.…”

Section: Discussionmentioning

confidence: 99%

“…These stiffness values are the secant peak-to-peak stiffness within a cycle, K = δF h /y pp where δF h is the difference between the peak values of horizontal force at each cyclic limit and y pp is the pile displacement between these peak values of This formulation does not recognise cyclic loading as being more damaging than monotonic loading to the same accumulated deformation, which is a limitation that is tolerated in other practical models for soil softening (e.g. Whyte et al 2020). More complex alternatives could be used in place of Eq.…”

Section: Generation Of Damagementioning

confidence: 99%

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A cyclic p-y model for the whole-life response of piles in soft clay

White

Doherty

Guevara

et al. 2022

Computers and Geotechnics

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It is evident from model testing, field studies and theoretical considerations that the strength of a soft clay can reduce and then recoverpotentially to above the initial valueas a result of cyclic loading followed by consolidation. For piled foundations and well conductors, these changes in soil strength and the resulting lateral resistance affect their stiffness, capacity and fatigue. This paper introduces a new model for the cyclic lateral 'p-y' response of a pile in soft clay, using concepts from critical state soil mechanics, combined with a parallel Iwan model to capture the hysteric response. Example analyses show that the model can capture the general forms of behaviour observed in model tests, and is rapid and simple to implement. The model provides a new basis for whole life modelling of piles and well conductors, allowing changes in stiffness and capacity to be simulated, as well as improved modelling of fatigue accumulation. This approach allows more reliable design, quantifying the benefits and risks associated with evolving soil strength.

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Section: Discussionmentioning

confidence: 99%

Section: Generation Of Damagementioning

confidence: 99%

A cyclic p-y model for the whole-life response of piles in soft clay

White

Doherty

Guevara

et al. 2022

Computers and Geotechnics

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“…The non-linear springs may also be supplemented by non-linear damping elements, which can be depth-dependent. The P-Y curve method does not take into account the hysteretic behaviour of soil as is suggested in some relevant literature Whyte et al (2020), but does capture the strong strain-softening non-linear behaviour observed in most soils. The non-linear springs are usually defined using empirical relations dependent upon various properties of the specific soil type considered or by calibration with FE models.…”

Section: Soil Structure Interaction In Wind Turbinesmentioning

confidence: 99%

Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme

Simpson

Dervilis²,

Couturier³

et al. 2023

Front. Energy Res.

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Non-linear analysis is of increasing importance in wind energy engineering as a result of their exposure in extreme conditions and the ever-increasing size and slenderness of wind turbines. Whilst modern computing capabilities facilitate execution of complex analyses, certain applications which require multiple or real-time analyses remain a challenge, motivating adoption of accelerated computing schemes, such as reduced order modelling (ROM) methods. Soil structure interaction (SSI) simulations fall in this class of problems, with the non-linear restoring force significantly affecting the dynamic behaviour of the turbine. In this work, we propose a ROM approach to the SSI problem using a recently developed ROM methodology. We exploit a data-driven non-linear ROM methodology coupling an autoencoder with long short-term memory (LSTM) neural networks. The ROM is trained to emulate a steel monopile foundation constrained by non-linear soil and subject to forces and moments at the top of the foundation, which represent the equivalent loading of an operating turbine under wind and wave forcing. The ROM well approximates the time domain and frequency domain response of the Full Order Model (FOM) over a range of different wind and wave loading regimes, whilst reducing the computational toll by a factor of 300. We further propose an error metric for capturing isolated failure instances of the ROM.

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“…However, as the current study provides a guideline to the researcher for transferring the physical tests to the numerical simulation, the researcher may choose a more appropriate soil model to represent their dynamic problem. Three examples of advanced cyclic soil models, i.e., bounding surface plasticity model [57]; [58], multi-surface plasticity model [59]; [60]could be an excellent solution depending on the nature and complexity of the problem. [17], to validate the numerical approach.…”

Section: Cam-clay Modelmentioning

confidence: 99%