首页|西南某机场跑道沉降预测模型

西南某机场跑道沉降预测模型

扫码查看
机场道面沉降,严重影响机场安全运行.准确预测跑道工后沉降,对机场的建设与运行极为重要.以西南某机场跑道沉降变形的观测数据为依据,分别用双曲线模型、对数模型、指数模型以及灰色预测模型,对跑道沉降进行预测和对比分析,解决了小样本数下曲线预测精度较低及灰色模型对非线性预测准确度差等问题,提高了预测的精度;同时通过BP神经网络对组合预测模型的残差进行修正,最大限度地提高模型预测的精度和效果,为地基沉降预测提供借鉴.
Prediction Model of Runway Settlement at a Southwest Airport
The settlement of airport pavements seriously affects the safe operation of airports.Accurately predicting the settlement of runway construction is extremely important for airport construction and operation.Based on the observed data of runway settlement and deformation at a southwest airport,the hyperbolic model,logarithmic model,exponential model,and GM(1,1)model were used to predict and compare the runway settlement.The issue of low prediction accuracy of curve prediction under small sample size and the problem of poor accuracy of the GM(1,1)grey model in nonlinear prediction were addressed to improv the prediction accuracy.Furthermore,by using Back Propagation Neural Network to correct the residuals of the combined prediction model,the accuracy and effectiveness of the model prediction were maximized.Reference is provided for predicting ground settlement.

settlement predictioncurve prediction modelgrey prediction modelcombined prediction modelBP neural network

方学东、顾天宇、舒富民

展开 >

中国民用航空飞行学院机场学院,四川德阳 618300

民航机场建设集团西南设计研究院有限公司,成都 610202

沉降预测 曲线预测模型 灰色预测模型 组合预测模型 BP神经网络

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(18)