基于Revit平台设计建筑模型的钢网架结构抗震性能数值模拟

研究基于Revit平台设计建筑模型的钢网架结构抗震性能数值模拟方法,对于提高钢网架结构抗震性能以及安全性具有重要应用价值。该方法依据标高和轴网的定位信息设计钢网架建筑构件及结构构件后,通过Revit软件平台确定实例钢网架结构建筑模型大体框架;采用绑定约束以及接触约束方法,分别实现建筑模型杆件-梁以及混凝土-型钢间的约束,并采用位移控制加载方法在得到的建筑模型杆顶以及梁与轴线方向加载轴向荷载和往复荷载。采用TurnTool虚拟仿真软件,进行钢网架结构抗震性数值模拟。结果显示:在低周往复荷载作用下钢网架结构荷载与位移的变化较为稳定;在低周往复荷载作用下的塑性阶段时,结构的纵向系杆对混凝土存在约束效果,构件间距越小该结构的延性就越好,纵向系杆能够提高实例钢网架结构的受力性;不同地震波作用下钢网架结构楼层节点位移随着楼层的增高而加大,证明了所设计模型的抗震模拟结果准确性较高。

Numerical Simulation of Seismic Performance of Steel Grid Structures Based on a Revit Platform Design Model

Research into numerical simulation methods of the seismic performance of steel grid structures based on a Revit platform design building model has important applicative value for improving the seismic performance and safety of steel grid structures. Based on the location of elevation and axle net, this method designs the steel grid structure components, then determines the general framework of the building model of an actual steel grid structure through the Revit software platform. It realizes the constraint between the members and the beams of the building model through binding restraint, and the constraint between concrete and steel section through contact restraint. It adopts the displacement-controlled loading method to carry out the axial and reciprocating loads on the pole top of the building model and along the beam and axis directions, and uses TurnTool virtual simulation software to simulate the seismic behavior of the steel grid structure. Results of an application of this method showed that the change of load and displacement of the steel grid structure under low cyclic reciprocating load was relatively stable. In the plastic stage, under low cyclic reciprocating load, the longitudinal tie bar of the structure had a restraining effect on the concrete. The smaller the spacing was between members, the better was the ductility of the structure. The longitudinal tie bar improved the force behavior of the sample steel grid structure. The seismic simulation results of the designed model were highly accurate.