大跨度公路桥梁桩基极限承载力预测方法  

Prediction Method for Ultimate Bearing Capacity of Pile Foundation of Long-span Highway Bridge

在线阅读下载全文

作  者:郑其华[1] 薛齐 ZHENG Qihua;XUE Qi(Yunnan Communications Vocational and Technical College,Kunming 650000,China;Zhejiang Jiaotou Transportation Construction Co.,Ltd.,Hangzhou 310000,China)

机构地区:[1]云南交通职业技术学院,昆明650000 [2]浙江交投交通建设有限公司,杭州310000

出  处:《粉煤灰综合利用》2025年第2期160-163,共4页Fly Ash Comprehensive Utilization

基  金:云南交通职业技术学院科学研究重点基金项目(2023KJ002)。

摘  要:为了提高预测结果精度,提出基于灰色理论模型和非线性映射的大跨度公路桥梁桩基极限承载力预测方法。根据大跨度公路桥梁桩基的受力区域计算荷载传递参数,建立灰色理论模型对参数序列进行还原处理,对还原后的参数进行非线性映射,降低参数维度,计算桩基承载力并基于计算结果进行预测。结果表明:所提方法预测的均方误差较低,均值仅为0.042,预测结果较为准确,满足了大跨度公路桥梁桩基的施工设计需求。Conventional prediction of the ultimate bearing capacity of long-span highway bridge pile foundation mainly uses the method of extracting characteristic parameters for iterative optimization to obtain the prediction results,ignoring the influence of characteristic parameter dimensions on the prediction results,resulting in a large Mean squared error of the prediction results.Therefore,a prediction method of the ultimate bearing capacity of long-span highway bridge pile foundation based on the grey theory model and nonlinear mapping is proposed.The load transfer parameters are calculated according to the stress area of the pile foundation of the long-span highway bridge,and the grey theoretical model is established to restore the parameter sequence.The restored parameters are nonlinear mapped to reduce the parameter dimensions,calculate the bearing capacity of the pile foundation,and predict based on the calculation results.The experimental results show that the mean squared error of the prediction results obtained after the proposed application is low,the average value is only 0.042,and the prediction results are relatively accurate,meeting the construction design requirements of long-span highway bridge pile foundations.

关 键 词:极限承载力预测 大跨度公路桥梁 桩基 灰色理论模型 非线性映射 桥梁桩基承载力 

分 类 号:TU473.16[建筑科学—结构工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象