基于遗传算法的隧洞当量粗糙度终值研究  

Research on ultimate equivalent roughness based on genetic algorithm

作　　者：刘卓 杨继松 LIU Zhuo;YANG Jisong(China Water Resources Beifang Investigation,Design&Research Co.Ltd,Tianjin 300222,China)

机构地区：[1]中水北方勘测设计研究有限责任公司,天津300222

出　　处：《水科学与工程技术》2023年第1期27-29,共3页Water Sciences and Engineering Technology

摘　　要：隧洞过流能力与其洞壁表面的当量粗糙度密切相关,运行过程中当量粗糙度通常随时间延伸而逐渐增大,从而降低无压隧洞的过流能力。为保证隧洞在整个寿命期内始终满足供水要求,基于多个项目的实测数据应用遗传算法,对隧洞当量粗糙度的终值进行研究,所得公式与实测数据的相对误差在0.15%~42.55%;对影响因素的敏感性分析表明,当量粗糙度终值对水力半径、隧洞底坡敏感,对酸碱度极敏感;从相关性角度分析,当量粗糙度终值与水力半径正相关,与隧洞底坡、酸碱度负相关。The discharge capacity of tunnel is closely related to the euqivalent roughness of the wall surface. The euqivalent roughness usually increases gradually with time during the operation of years, thereby reducing the discharge capacity of the tunnel. In order to ensure that the tunnel can meet the water supply requirements during the entire life cycle all the time, genetic algorithm was applied to study the ultimate euqivalent roughness based on the measured data of several projects.The relative error between the obtained formula and the measured data is 0.15%~42.55%. The sensitivity analysis the in fluencing factors shows that the ultimate equivalent roughness is sensitive to hydraulic radius and tunnel bottom slope,extremely sentitive to the pH value. From the perspective of correlation, the ultimate euqivalent roughness is positionly correlated with hydraulic radius, and negatively correlated with tunnel bottom slope and pH value.

关 键 词：当量粗糙度 终值 遗传算法 敏感性分析 

分 类 号：TV134.2[水利工程—水力学及河流动力学]