基于模糊神经网络的PC桥梁使用性能预测  

Performance Prediction of PC Bridge Based on Fuzzy Neural Network

作　　者：孙凡 邬晓光[1] 霍建斌 方淼淼 SUN Fan;WU Xiao-guang;HUO Jian-bin;FANG Miao-miao(School of Highway,Chang'an University,Xi'an 710064,China;Shanxi Expressway Group Co.Ltd.,Taiyuan 030000,China)

机构地区：[1]长安大学公路学院,西安市710064 [2]山西省高速公路集团有限责任公司,太原市030000

出　　处：《公路》2022年第2期95-98,共4页Highway

基　　金：山西交通控股集团有限公司基金项目,项目编号19-JKKJ-22。

摘　　要：目前,桥梁预防性养护理念已得到广泛应用。为找到PC桥梁合适的养护时机以更好地进行养护决策,需要对PC桥梁使用性能进行预测。将PC桥梁使用性能分解为若干个指标,采用模糊神经网络法对这些指标数据进行运算,并以上滩大桥为例进行桥梁使用性能预测。结果表明,发现实测值与预测值之间最大相对误差在5%以内,满足精度要求。研究结果证实了这种方法的可行性,可为日后的桥梁养护决策工作提供指导。at present,the concept of preventive maintenance for bridges has been widely applied.In order to find the right time for PC bridge maintenance and make better maintenance decision,it is necessary to predict the service performance of PC bridge.In this paper,the service performance of PC bridge is divided into several indexes,and the fuzzy neural network method is used to calculate these indexes data.Taking the Shangtan Bridge as an example,the maximum relative error between the measured value and the predicted value is found to be within 5%,which meets the accuracy requirements.The feasibility of this method is verified,which provides guidance for the decision-making of bridge maintenance in future.

关 键 词：PC桥梁 模糊理论 神经网络 使用性能预测 预防性养护 

分 类 号：U441.5[建筑科学—桥梁与隧道工程] U445.7[交通运输工程—道路与铁道工程]