问题描述:
在SAFE和ETABS中建立同一个带边梁的无梁楼盖模型,对楼板指定相同的降温荷载,发现温度荷载下的板带内力差异明显。图1和图2分别显示了SAFE和ETABS中温度荷载下板带A层的轴力,感觉ETABS结果异常,为什么?
图1 SAFE中板带A层轴力图(指定板温度荷载)
图2 ETABS中板带A层轴力图(指定板温度荷载)
解答:
这是因为在ETABS模型中,只对楼板指定了温度荷载,并没有对梁指定温度荷载,如图3所示。而SAFE模型中,对板指定温度荷载时,程序自动对板范围内的梁也施加相同的温度荷载。所以两个模型看似相同,实际上边梁的受力却完全不同。
![](data:image/png;base64,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)
图 3 楼板指定温度荷载而梁未指定温度荷载
如果在ETABS模型中,补充对边梁指定相同的温度荷载,如图4所示,那么对比图5和图1可以发现ETABS与SAFE的结果非常接近。
图 4 ETABS中补充对边梁指定温度荷载
图5 ETABS中板带A层轴力图(补充指定边梁温度荷载)
由上可知,在SAFE中对板指定温度荷载,板范围内的梁也会自动被指定相同的温度荷载。而在ETABS中对板和梁的温度荷载需要分开指定。实际工程中,楼面体系中的板和梁一般受到相同的温度作用,故SAFE默认的处理方式是可行的。如果板和梁的温度荷载不同,则需使用ETABS来分别指定。即将发布的SAFE新版本SAFEv19,将采用与ETABS相同的方式,即板和梁的温度荷载分别指定。