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Statistical calibration of federal highway administration simplified models for facing tensile forces of soil nail walls
Acta Geotechnica ( IF 5.7 ) Pub Date : 2020-11-05 , DOI: 10.1007/s11440-020-01106-4
Huifen Liu , Huihuan Ma , Dan Chang , Peiyuan Lin

This study first develops a database containing 56 measured facing tensile forces from instrumented soil nail walls during or at completion of construction. Based on the compiled database, the accuracies of both default and modified federal highway administration (FHWA) simplified models for estimation of short-term facing tensile forces are evaluated. Here, accuracy is defined by the model bias computed as the ratio of measured to predicted facing tensile force. The analysis results show that predictions are highly conservative and highly dispersive using the default model, and moderately conservative and medium dispersive using the modified model. Moreover, the prediction accuracy is statistically correlated with magnitudes of the computed facing tensile forces and several model input parameters. An out-of-sample approach is used to develop and validate a recalibrated FHWA model which is then demonstrated to have least empirical constants but best accuracy compared to the default and modified models. The biases for the three models are characterized as lognormal random variables. An example of reliability-based analysis for facing flexure limit state is illustrated to both elaborate the application and highlight the benefit of using the recalibrated model for design practice from the perspective of cost-effectiveness.



中文翻译:

联邦公路管理局针对土钉墙张拉力的简化模型的统计校准

这项研究首先建立了一个数据库,该数据库包含在施工期间或施工结束时从仪器化的​​土钉墙测得的56个面对的拉力。基于已编译的数据库,评估了默认和修改后的联邦公路管理局(FHWA)简化模型对短期面对拉力的估算的准确性。在此,精度由模型偏差定义,该模型偏差被计算为测得的相对于预测的面对拉力的比率。分析结果表明,使用默认模型的预测是高度保守和高度分散的,使用改进模型的预测是中等程度的保守和中等分散的。此外,预测精度与计算出的朝向拉伸力的大小和几个模型输入参数在统计上相关。样本外方法用于开发和验证重新校准的FHWA模型,与默认模型和修改后的模型相比,该模型具有最小的经验常数,但准确性最高。这三个模型的偏差以对数正态随机变量为特征。举例说明了面向挠性极限状态的基于可靠性的分析示例,不仅可以阐明应用程序,而且还可以从成本效益的角度突出显示使用重新校准的模型进行设计实践的好处。

更新日期:2020-11-05
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