the prediction model of vertical ultimate bearing capacity of single pile is built by combining improved genetic algorithm and support vector regression machine.
通过将改进遗传算法与支持向量机相结合,建立一种用于单桩竖向极限承载力预测的进化支持向量机模型。
based on the strong learning ability and fuzzy logic function of anfis, a method for predicting vertical ultimate bearing capacity of single pile is presented.
利用anfis较强的学习能力和模糊逻辑推理功能,建立了单桩竖向极限承载力预测的自适应网络模糊推理系统。
in this paper, the vertical ultimate bearing capacity of single pile has been studied by using fem as numerical method.
针对静载荷实验确定单桩极限承载力的局限性,采用有限元分析方法作为单桩极限承载力静载实验的有益补充。
an extensively concerned problem in engineering is how to determine the vertical ultimate bearing capacity of single pile based on the data of pile load test bellow limit load.
如何根据未加载至破坏的试桩资料来确定单桩极限承载力是工程界广泛关注的问题。
with more and more high-rise constructions have been builded, the static load test of pile is adopted as the foremost way to identify vertical ultimate bearing capacity of single pile.
随着高层及超高层建筑的涌现,桩基静载试验作为确定单桩极限承载力最可靠的方法已被广泛采用。
the artificial neural networks of the vertical ultimate bearing capacity of single pile is established.
在桩基工程中,单桩竖向承载力的确定关系到设计是否安全和经济的重要问题。