张宇1,周波2,唐德秀2
1.四川大学工程设计研究院有限公司,四川 成都 610065; 2.四川蜀禹水利水电工程设计有限公司,四川 成都 610072
摘要:结合四川某重力坝坝址区地形地质条件,对其溢流坝段进行有限元建模,进行以下分析:(1)材料参数的选取;(2)计算工况及荷载组合。
关键字:有限元;计算工况;荷载组合;重力坝溢流坝段
1 工程概况
重力坝是由砼或浆砌石修筑的大体积挡水建筑物,其基本剖面是直角三角形,整体是由若干坝段组成。重力坝在水压力及其他荷载作用下,主要依靠坝体自重产生的抗滑力来满足稳定要求;同时依靠坝体自重产生的压力来抵消由于水压力所引起的拉应力以满足强度要求。
该工程位于德跃镇—古蔺县城间古蔺河上,是以防洪和县城应急供水为主,兼顾生态环境供水的混凝土重力坝。坝顶高程650.00m,最大坝高56.00 m,水库正常蓄水位647.50 m,设计洪水位645.56 m,死水位639.50 m。
该碾压砼重力坝位于弱风化基岩上,基岩体为侏罗系中统上沙溪庙组(J2S2)地层之泥质粉砂岩、粉砂质泥岩、砂岩,局部夹泥质粉砂岩和砂岩薄层或透镜体,但基岩岩性软弱,强度较低,可能存在地基承载能力问题;碾压砼重力坝溢流坝段闸室采用弧形钢闸门挡水,闸门支绞牛腿及相邻闸墩部位的受力较复杂;灌浆廊道局部应力情况复杂等问题。因此重力坝底板、灌浆廊道、闸墩、牛腿的受力配筋能否满足运行要求,对工程的安全性具有重要的意义,有必要对重力坝溢流坝段闸室结构、灌浆廊道的安全性进行相应的计算。固针对工程区域的地形地貌和闸室的结构参数,建立三维有限元计算模型。
2 计算模型与方法
结合工程溢流坝段的设计资料(地层岩性、地质构造、基岩岩体力学参数、地基处理方案、灌浆廊道结构型式、荷载组合等),分析工程区域的地质环境和基岩工程特性,对地质原型进行合理概化,为计算模型的建立提供依据。
2.1 有限元模型
本次重力坝溢流坝段三维有限元计算选取重力坝、闸室结构和较大范围基岩岩体作为整体研究对象,其中计算模型铅直向底部取至437.50m高程,重力坝以下基岩厚度取124m;沿溢流坝轴线方向取3孔闸室(1#~3#闸),模型横河向宽度为25m,沿水流方向上游边界取至坝踵沿向上游延伸120m;下游边界取至坝趾向下游延伸114m。采用8节点等参单元对坝体及坝基进行离散,单元总数共44290个,节点总数47590个,大坝坝体及坝基的有限元网格模型见图1和图2。
有限元计算坐标系选定为:X轴:顺水流方向(指向下游为正);Y轴:垂直水流方向(指向左岸为正);Z轴:与X和Y垂直,且Z=X×Y,铅直向上。
图2 重力坝溢流坝枢纽结构有限元网格
2.2 计算参数
碾压混凝土重力坝的静力有限元计算方法采用有效应力法。计算中,混凝土认为是弹性材料,基岩也认为是弹性材料,具体参数见表1。
表1 静力计算参数表
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)
2.3计算工况及荷载组合
重力坝溢流坝段结构三维有限元计算时,主要考虑完建工况、正常挡水工况、设计洪水位挡水工况、校核洪水位挡水外。各工况的荷载组合如下:
(1)完建工况:闸室结构自重;
(2)正常挡水工况(正常蓄水位647.50m):闸室全部正常挡水,考虑重力坝及闸室结构自重、闸门前边墩、重力坝及底板上表面水压力、牛腿上作用的弧形闸门水推力、重力坝底板上的扬压力;
(3)设计洪水位挡水工况(设计蓄水位645.56m):闸室全部挡水,考虑重力坝及闸室结构自重、闸门前边墩、重力坝及底板上表面水压力、牛腿上作用的弧形闸门水推力、重力坝底板上的扬压力;
(4)校核洪水位挡水工况(校核蓄水位648.53m):闸室全部挡水,考虑重力坝及闸室结构自重、闸门前边墩、重力坝及底板上表面水压力、牛腿上作用的弧形闸门水推力、重力坝底板上的扬压力。
其中设计洪水位和校核洪水位两种工况下采用最危险情况的闸门全部挡水作为参考。
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