Simplified Numerical Models to Simulate Hollow Monopile Wind Turbine Foundations

Simplified Numerical Models to Simulate Hollow Monopile Wind Turbine Foundations
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DOI:
10.3390/jmse8110837
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发表时间:
2020-10
影响因子:
2.9
通讯作者:
S. López‐Querol;M. Spyridis;P. Moreta;J. Arias-Trujillo
S. López‐Querol;M. Spyridis;P. Moreta;J. Arias-Trujillo
中科院分区:
地球科学3区
文献类型:
--
作者:
S. López‐Querol;M. Spyridis;P. Moreta;J. Arias-Trujillo

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大多数风力涡轮机基础由插入土壤中的空心桩组成,需要高计算量来进行数值模拟。替代的简化模型经常被采用。三维实体模型,其中的空心结构和桩被替换为具有等效性能的实心圆柱体,是最广泛的简化。很少有2D模型可以在文献中找到,由于找到合适的等效属性和负载,以充分代表问题的3D性质的挑战。到目前为止,非常有限的注意力已经致力于在动态甚至静态动作下的3D和2D简化模型的准确性。因此,在本文中,简化的三维和二维实体模型的建议和理由。采用累积退化弹塑性本构模型模拟土体的力学行为,在桩土之间采用摩擦接触单元模拟桩土相互作用。这些简化的方法进行了比较完整的三维空心模型,静态和循环载荷下。结果表明,所提出的简化方法是一个合理的替代三维空心模型,这使得研究人员和设计人员,以大大减少在长期条件下的模拟计算工作。
The majority of wind turbine foundations consist of hollow monopiles inserted in the soil, requiring high computational effort to be numerically simulated. Alternative simplified models are very often employed instead. Three-dimensional solid models, in which the hollow structure and pile are substituted by solid cylinders with equivalent properties, are the most extended simplifications. Very few 2D models can be found in the literature due to the challenge of finding suitable equivalent properties and loads to fully represent the 3D nature of the problem. So far, very limited attention has been devoted to the accuracy of both 3D and 2D simplified models under dynamic and even static actions. Thus, in this paper, simplified 3D and 2D solid models are proposed and justified. An elasto-plastic constitutive model with accumulative degradation is used to simulate the soil behaviour, and frictional contact elements are implemented between the soil and pile to model their interaction. These simplified approaches are compared with the full 3D hollow model, under static and cyclic loads. The results demonstrate that the proposed simplified approaches are a reasonable alternative to the 3D hollow model, which allows researchers and designers to drastically reduce the computational effort in the simulations under long term conditions.