Development of models for facing tensile forces of soil nail walls using statistical approaches

被引:0
|
作者
Lin, Peiyuan [1 ,2 ]
Chen, Xianying [1 ]
Jiang, Mingjie [3 ,4 ,5 ]
Xu, Meijuan [3 ,4 ,5 ]
Mei, Guoxiong [3 ,4 ,5 ]
机构
[1] Sun Yat Sen Univ, Sch Civil Engn, Zhuhai, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
[3] Guangxi Univ, Guangxi Key Lab Disaster Prevent & Engn Safety, Nanning, Peoples R China
[4] Guangxi Univ, Minist Educ, Key Lab Disaster Prevent & Struct Safety, Nanning, Peoples R China
[5] Guangxi Univ, Coll Civil Engn & Architecture, Nanning 530004, Guangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Soil nail wall; facing tensile force; simplified incremental calculation method; CABR method; CECS method; RELIABILITY-BASED DESIGN; ULTIMATE BOND STRENGTH; RESISTANCE; STABILITY; CALIBRATION; STRESS;
D O I
10.1080/17499518.2021.1971257
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The facing is a key component for the design of soil nail walls. However, current design specifications of soil nail walls in China do not specify methods for estimation of facing tensile forces, which has posed challenges for engineers to produce consistent, safe, and cost-effective facing designs. This study first constructs the facing tensile force as the product of the maximum nail load and a facing factor. Then a database containing 91 measured facing tensile force data collected from the literature is developed and used to calibrate the facing factor matching six maximum nail load models that are commonly adopted in China, namely, the simplified incremental calculation models based on the Rankine and Coulomb earth pressure theories, the China Academy of Building Research model, and the China Association for Engineering Construction Standardization model. Based on the developed database, the accuracies of the six proposed models for facing tensile forces are demonstrated to be unbiased on average and the dispersions in the prediction accuracy are ranked from low to medium. Furthermore, the influences of three wall working conditions on prediction accuracy of the developed models are investigated and shown to be practically insignificant. Last, the model biases are characterised as lognormal random variables.
引用
收藏
页码:710 / 727
页数:18
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