问题描述:
如何在 ETABS 中利用阶段施工分析转换以下柱底的连接类型,如由铰接转换为刚接?
解答:
下面以一个简化的框架模型为例,详细介绍柱底从铰接转换为刚接的操作流程。首先,对模型中构件进行分组,以便后续在阶段施工工况中添加或更换构件。如下所示,一层构件定义为对象组“Story1”,二层构件中不含目标柱的构件定义为“Story2-A”,包含目标柱的构件定义为“Story2-B”。
框架模型的对象组
后续操作如下:
1,在目标柱的底部截取并删除小段长度(如100mm),用于绘制两点之间的连接单元。
2,定义两个 Linear 类型的连接属性 Link3 与 Link4。如下所示,Link3 仅勾选并固定三个平动分量,Link4 勾选并固定包含三个转动分量在内的全部六个分量。
3,定义阶段施工工况,如下所示:
阶段 ①:添加一层构件和二层不包含目标柱的构件,同时施加以上构件的自重荷载。
阶段 ②:添加二层包含目标柱的构件和采用 Link3 属性的连接单元 K1。
阶段 ③:利用 Change
Section 操作修改连接单元 K1 的连接属性为 Link 4,以此实现柱底铰接向刚接的转换;同时施加全部构件的活荷载。
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)
阶段施工工况的定义
阶段 ① :Story1+Story2-A
阶段 ②:Story2-B+Link3
阶段 ③:Link3 to Link4
查看如下所示的结构弯矩图可知,阶段②的目标柱柱底为铰接,弯矩为零;阶段③的目标柱柱底为刚接,弯矩非零。ETABS 计算结果符合预期,上述方法有效。
阶段 ① 的结构弯矩图
阶段 ② 的结构弯矩图
阶段 ③ 的结构弯矩图