喷嘴
喷射(流体)
栏(排版)
贝叶斯概率
堆
岩土工程
计算机科学
结构工程
工程类
机械
机械工程
人工智能
物理
连接(主束)
作者
Lin‐Shuang Zhao,Yue Chen,Shanqing Li
标识
DOI:10.1061/9780784484999.024
摘要
The estimation of column diameter related to the jet grouting systems is a challenging task in jet grouting design. A bunch of influencing factors has a close relationship with a jet grouting column, such as the resistance of surrounding soil, the jet grouting pressure, the number of nozzles, the lifting speed of the rod, etc. Due to the complicated mechanism associated with the jet grouting method, the existing methods cannot predict the column diameter very well. In the present study, a new empirical correlation equation was proposed to estimate the column diameter of jet grouting under the Bayesian framework based on a series of in situ test data from real practice. The selected best model using the Bayesian model selection can capture the characteristics of jet grouting diameter, and the estimated column diameters using the best model have better agreement with the measured data than the semi-theoretical methodology.
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