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WANG Hongqing, SUN Wei, LIU Donghua, REN Hao, TANG Dongsheng, FANG Hui. Statistical Analysis of Self-Weight Penetration and Pile Running for Large Diameter Monopiles in Offshore Wind Farm[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(1): 64-71. DOI: 10.16516/j.gedi.issn2095-8676.2023.01.008
Citation: WANG Hongqing, SUN Wei, LIU Donghua, REN Hao, TANG Dongsheng, FANG Hui. Statistical Analysis of Self-Weight Penetration and Pile Running for Large Diameter Monopiles in Offshore Wind Farm[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(1): 64-71. DOI: 10.16516/j.gedi.issn2095-8676.2023.01.008

Statistical Analysis of Self-Weight Penetration and Pile Running for Large Diameter Monopiles in Offshore Wind Farm

  •   Introduction  This paper adoptes the methods based on parametric study and CPT in-situ test for analysis and calculation, the preliminary analysis is carried out according to the actual construction data. By doing this, the self-weight penetration of monopiles can be better and faster predicted and the risks in monopile installation are significantly reduced.
      Method  Modified the design input parameters by API recommended pile capacity theory, combined with error analysis, the predicted self-weight penetration was compared to the real data on site.
      Result  The analysis results show that there is a great difference in prediction of self-weight penetration due to the different reduction strength coefficient S_\mathrmr in the process of calculating clay self-weight penetration and pile running analysis. At the same time, the selection of reduction strength coefficient is different between the self-weight penetration and pile running process.
      Conclusion  Through comparative analysis, the value range of clay strength reduction coefficient S_\mathrmr of Guangdong sea area is obtained, which can provide a design reference for the following offshore pile penetration operations. It's also proved that the CPT can be used to better predict self-weight penetration and pile running phenomenon.
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