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作 者:李亚峰[1] 陶翠翠[1] 林长宇 蒋白懿[1] 叶友林[1]
机构地区:[1]沈阳建筑大学市政与环境工程学院,辽宁沈阳110168 [2]沈阳市自来水总公司一水厂,辽宁沈阳110141
出 处:《沈阳建筑大学学报(自然科学版)》2010年第4期729-733,共5页Journal of Shenyang Jianzhu University:Natural Science
基 金:国家科技支撑计划项目(2006BAJ06B07)
摘 要:目的确定给水管道各腐蚀影响因素的一元非线性回归方程和权重值,预测给水管道的腐蚀速率.方法利用最小二乘法确定各腐蚀影响因素的一元非线性回归方程,采用灰色关联法确定腐蚀影响因素的顺序,并用改进的层次分析法确定各因素的权重值.结果运用改进层次分析法和灰关联理论建立灰关联定权组合模型预测给水管道的腐蚀速率,通过实例分析,模型预测值的相对误差最高为3.95%,最低为0.41%.结论结合改进层次分析法和灰色关联理论建立的灰关联定权组合模型预测给水管道腐蚀速率,具有较高的精度,是给水管道腐蚀速率预测的有效工具.The purpose of this article is to predict the corrosion rate of water supplying pipeline by determining each corrosion factor's weight and unitary non-linear regressive equation. The paper separately employs least-squares method, grey relative analysis theory and improved analytic hierarchy process to determine each corrosion factor's unitary non-linear regressive equation, order and weights. The gray-relating fixed weight combined model was built using improved analytic hierarchy process and grey relative analysis theory to predict the corrosion rate of water supplying pipelines. Through case analysis, the relative range of error by using that model is between 3.95% and 0. 41%. The result shows that the gray-relating fixed weight combined model which is built by using improved analytic hierarchy process and grey relative analysis theory has a higher prediction precision and this model is an available tool to predict corrosion rate of water supplying pipeline.
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