Title: Effects of local scouring on capacities of monopile-wheel composite foundations in sand under lateral loading
Abstract: AbstractThis paper focuses on an innovative foundation type of monopile-friction wheel composite foundations, which aim to enhance the loading performance of offshore wind turbines (OWTs) while mitigating the negative impact of local scouring. The study utilizes numerical simulations to investigate the morphology of local scouring under unidirectional flow. Furthermore, the finite element method is employed to quantify the lateral bearing behavior, considering different scouring parameters, loading point heights, and pre-torsional loads. On this basis, the load bearing ratio of each part of the composite foundation under different scour conditions is also obtained. The results reveal that the horizontal bearing characteristics are significantly influenced by different scour parameters, loading point heights and pre-torsional loads. The local scouring can reduce the bearing capacity by about 38%, with scouring depth having the greatest effect, followed by the scouring angle and extent respectively. Moreover, as the loading point height and pre-torsional load increase, the lateral bearing behavior of composite foundations decreases. Notably, the friction wheel contributes more than 40% to the overall bearing capacity, underscoring its importance. The results provide valuable insights into further understanding the bearing behavior of the composite foundation and its potential engineering applications.Keywords: Offshore wind turbines (OWTs)monopile-wheel composite foundationlocal scourload bearing capacityfinite element method Disclosure statementNo potential conflict of interest was reported by the authors.Author contributionsShun Chen: methodology, derivation, visualization, formal analysis,writing-original draft preparation;Xinjun Zou: methodology, conceptualization, writing-review and editing, funding acquisition, supervision;Xinyao Tu: methodology, formal analysis and writing-review;Chuxiong Liang: writing-review and editing.Data availability statementAll data and models generated or used in this study are available from the corresponding author by request.Additional informationFundingThis research is supported by the National Natural Science Foundation of China (Grant No. 52178329), the science and technology Program of Hunan Provincial Departent of Transportation (Grant No. 201414).
Publication Year: 2023
Publication Date: 2023-11-27
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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