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翁禾, 沈扬, 马可. 南海珊瑚泥一维压缩分数阶元件模型研究[J]. 岩土工程学报. DOI: 10.11779/CJGE20240181
引用本文: 翁禾, 沈扬, 马可. 南海珊瑚泥一维压缩分数阶元件模型研究[J]. 岩土工程学报. DOI: 10.11779/CJGE20240181
Study on the Fractional Order Element Model of One-dimensional Compression of Coral Mud in the South China Sea[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20240181
Citation: Study on the Fractional Order Element Model of One-dimensional Compression of Coral Mud in the South China Sea[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20240181

南海珊瑚泥一维压缩分数阶元件模型研究

Study on the Fractional Order Element Model of One-dimensional Compression of Coral Mud in the South China Sea

  • 摘要: 南海珊瑚泥广泛分布于我国南海海域,研究珊瑚泥的沉降变形规律对南海的开发有着重要意义。南海珊瑚泥的一维压缩具有典型的软土变形特征,同时由于其特殊的性质,其变形速度与常见软土相比较快,适合进行变形模型的研究。针对软土的一维压缩变形常使用元件模型进行模拟,但由于元件模型中反映长期变形的元件参数为定值,并不能准确反映延时塑性变形。应用分数阶理论的Abel黏壶比牛顿黏壶能更反应土体延时塑性变形特征,故引入Burgers模型进行修正,得到分数阶修正Burgers模型。本文对近似天然条件下的珊瑚泥进行每一级历时8-14天的一维固结压缩试验,使用前11小时的读数分别对Merchant模型,Burgers模型和分数阶修正Burgers模型进行自拟合,并使用拟合得到的模型参数对11小时后的变形进行预测。对比三种模型11小时内的自拟合精度和11小时后的预测精度,并对各个模型的参数及各部分变形情况进行分析。研究发现,分数阶修正Burgers模型的自拟合精度为Merchant模型的型的23-65倍,为Burgers模型的6-18倍;预测精度为Merchant模型的5-35倍,为Burgers模型的262-6213倍。

     

    Abstract: Coral mud is widely distributed in the South China Sea. Studying the deformation law of coral mud is of great significance for the development of the South China Sea. The one-dimensional compression of coral mud in the South China Sea has the typical deformation characteristics of soft soil. At the same time, due to its special properties, its deformation speed is faster than that of common soft soil, which is suitable for the study of deformation model. The one-dimensional compression deformation of soft soil is often simulated by the element model. However, the element parameters reflecting long-term deformation in the element model are fixed, which cannot accurately reflect the delayed plastic deformation. The Abel dashpot applied fractional order theory can better reflect the delayed plastic deformation characteristics of soil than the Newton dashpot. Therefore, the Burgers model is introduced to correct the fractional order corrected Burgers model. In this paper, the one-dimensional consolidation compression test of coral mud under approximate natural conditions lasted for 8-14 days per stage was carried out. The first 11 hours of readings were used to self-fit the Merchant model, Burgers model and fractional order corrected Burgers model, respectively. The model parameters obtained by fitting were used to predict the deformation after 11 hours. The self-fitting accuracy of the three models within 11 hours and the prediction accuracy after 11 hours were compared, and the parameters of each model and the deformation of each part were analyzed. The study found that the self-fitting accuracy of the fractional order corrected Burgers model was 23-65 times that of the Merchant model, and 6-18 times that of the Burgers model. The prediction accuracy is 5-35 times of Merchant model and 262-6213 times of Burgers model.

     

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