Li Chang, Chen Yuhui, Xiang Ke, Dai Guoliang, Gong Weiming, Yang Shaojun, Satyanaga Alfrendo, Chua Yuan Shen, Gao Peng, Zhai Qian
China Construction Eighth Engineering Division Corp. Ltd, Nanjing, China.
Advanced Ocean institute of Southeast University, Southeast University, Nantong, 226010, Jiangsu, China.
Sci Rep. 2024 Dec 28;14(1):31533. doi: 10.1038/s41598-024-83258-x.
Collapsible loess soils, known for their significant volume reduction upon the wetting, pose critical challenges in the geotechnical engineering. The estimation of the wetting-induced settlement is crucial for the foundation design and the determination of the negative skin friction on the pile. In this paper, a new method is proposed to estimate the wetting induced collapse from the wetting soil-water characteristic curve (SWCC) and the index properties of the loess soils. In the proposed model, both the water-entry value (WEV) and constant water content suction (ψ) were adopted for the quantification of the volume change with respect to the reduction in soil suction. The proposed method is verified against the experimental data from published literature. Subsequently, the ground settlement of the loess soil in the inundated condition was calculated by adopting the proposed method and comparing the results with the field measurement data. The results of study indicated that the performance of the proposed method is better than the conventional method in predicting the ground settlement by using the local code in China.
湿陷性黄土因其遇水后显著的体积收缩而闻名,给岩土工程带来了严峻挑战。湿陷引起的沉降估算对于基础设计和桩侧负摩阻力的确定至关重要。本文提出了一种基于湿土-水特征曲线(SWCC)和黄土指标特性来估算湿陷的新方法。在所提出的模型中,采用进气值(WEV)和常含水量吸力(ψ)来量化相对于土吸力降低的体积变化。该方法通过已发表文献中的实验数据进行了验证。随后,采用该方法计算了浸水条件下黄土场地的沉降,并将结果与现场实测数据进行了比较。研究结果表明,在中国采用地方规范预测场地沉降时,该方法的性能优于传统方法。