摘要
人工边界子结构地震波动输入方法理论明晰,但需要对大量节点时程数据进行读写,研究人员直接在通用有限元软件中使用可能会存在一些问题。本文简单介绍相关理论方法,给出在ABAQUS中实现黏弹性人工边界单元的设置与人工边界子结构地震波动输入方法的详细思路和实施步骤。对于黏弹性人工边界单元,介绍了在视图界面对等效物理参数和边界单元尺寸进行统一操作的方法;对于人工边界子结构地震波动输入方法,介绍了利用自编Python程序读写INP文件,自动读取和写入大批量节点时程数据的方法。本方法便捷高效,可快速完成自由场节点位移数据读取、人工边界子结构节点位移数据加载、节点反力数据读取、土-结构动力相互作用模型等效地震荷载输入等工作,大幅提高了地震波动输入的前处理效率,可在实际工程计算过程中推广应用。
The seismic wave input method based on artificial boundary substructure is clear in theory,but a large number of time history data on nodes need to be read and write,so there may exist some problems for researchers to use it directly in finite element software.The related theoretical methods are briefly introduced,the detailed ideas and implementation steps of the seismic wave input method based on artificial boundary substructures and the setting of viscoelastic artificial boundary elements in ABAQUS are presented.For viscoelastic artificial boundary elements,a method for uniform operation of equivalent physical parameters and boundary element sizes in the view interface is introduced,which is convenient and efficient.For the seismic wave input method of the artificial boundary substructure,a method of rewriting the INP files with self-written Python programs,and automatically reading and writing a large number of time history data on nodes is also introduced.Method in this paper is easy to operate and rare to make mistakes.It can quickly read the field displacement data,which is loaded on the nodes of artificial boundary substructure,also quickly read the reaction force data,which is loaded on the soil-structure dynamic interaction model as the equivalent seismic load input.The method in this paper greatly improves the pre-processing efficiency of seismic wave input,it can be widely used in the actual calculation process.
作者
李述涛
刘晶波
宝鑫
贾艺凡
陈一村
肖兰
LI Shutao;LIU Jingbo;BAO Xin;JIA Yifan;CHEN Yicun;XIAO Lan(Department of Civil Engineering,Tsinghua University,Beijing 100084,China;Research Institute for National Defense Engineering of PLA AMS,Beijing 100036,China)
出处
《自然灾害学报》
CSCD
北大核心
2020年第4期133-141,共9页
Journal of Natural Disasters
基金
国家自然科学基金项目(51878384,U1839201)
国家重点研发计划(2018YFC1504305)。