Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil

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Authors

  • Junnan Song
  • Martin Achmus
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Details

Original languageEnglish
Pages (from-to)327-339
Number of pages13
JournalWind Energy Science
Volume8
Issue number3
Publication statusPublished - 8 Mar 2023

Abstract

The bearing behaviour of large-diameter monopile foundations for offshore wind turbines under lateral cyclic loads in cohesionless soil is an issue of ongoing research. In practice, mostly the p-y approach is applied in the design of monopiles. Recently, modifications of the original p-y approach for monotonic loading stated in the API regulations have been proposed to account for the special bearing behaviour of large-diameter piles with small length-To-diameter ratios. However, cyclic loading for horizontally loaded piles predominates the serviceability of the offshore wind converters, and the actual number of load cycles cannot be considered by the cyclic p-y approach of the API regulations. This research therefore focuses on the effects of cyclic loading on the p-y curves along the pile shaft and aims to develop a cyclic overlay model to determine the cyclic p-y curves valid for a lateral load with a given number of load cycles. A stiffness degradation method (SDM) is applied in a three-dimensional finite element model to determine the effect of the cyclic loading by degrading the secant soil stiffness according to the magnitude of cyclic loading and number of load cycles based on the results of cyclic triaxial tests. Thereby, the numerical simulation results are used to develop a cyclic overlay model, i.e. an analytical approach to adapt the monotonic (or static) p-y curve to the number of load cycles. The new model is applied to a reference system and compared to the API approach for cyclic loads.

Cite this

Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil. / Song, Junnan; Achmus, Martin.
In: Wind Energy Science, Vol. 8, No. 3, 08.03.2023, p. 327-339.

Research output: Contribution to journalArticleResearchpeer review

Song J, Achmus M. Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil. Wind Energy Science. 2023 Mar 8;8(3):327-339. doi: 10.5194/wes-8-327-2023
Song, Junnan ; Achmus, Martin. / Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil. In: Wind Energy Science. 2023 ; Vol. 8, No. 3. pp. 327-339.
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title = "Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil",
abstract = "The bearing behaviour of large-diameter monopile foundations for offshore wind turbines under lateral cyclic loads in cohesionless soil is an issue of ongoing research. In practice, mostly the p-y approach is applied in the design of monopiles. Recently, modifications of the original p-y approach for monotonic loading stated in the API regulations have been proposed to account for the special bearing behaviour of large-diameter piles with small length-To-diameter ratios. However, cyclic loading for horizontally loaded piles predominates the serviceability of the offshore wind converters, and the actual number of load cycles cannot be considered by the cyclic p-y approach of the API regulations. This research therefore focuses on the effects of cyclic loading on the p-y curves along the pile shaft and aims to develop a cyclic overlay model to determine the cyclic p-y curves valid for a lateral load with a given number of load cycles. A stiffness degradation method (SDM) is applied in a three-dimensional finite element model to determine the effect of the cyclic loading by degrading the secant soil stiffness according to the magnitude of cyclic loading and number of load cycles based on the results of cyclic triaxial tests. Thereby, the numerical simulation results are used to develop a cyclic overlay model, i.e. an analytical approach to adapt the monotonic (or static) p-y curve to the number of load cycles. The new model is applied to a reference system and compared to the API approach for cyclic loads.",
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