基于网格多密度的建筑空间尺寸偏差辨识仿真  

Simulation of Building Space Dimension Deviation Identification Based on Grid Multi Density

作　　者：王迪[1] 张哲[1] WANG Di;ZHANG Zhe(Jilin Jianzhu University,Changchun Jilin 130118,China)

机构地区：[1]吉林建筑大学,吉林长春130118

出　　处：《计算机仿真》2022年第2期447-451,共5页Computer Simulation

基　　金：吉林省教育厅“十三五”社会科学规划课题(JJKH20180624SK)。

摘　　要：建筑空间结构对几何缺陷较为敏感,如果存在偏差容易造成结构承载力性能下降,可提出一种基于网格多密度的建筑空间尺寸偏差辨识方法。分析建筑空间辨识原理以组建建筑数据空间,并将数据空间进行一维分化处理,得到空间网格单元,依靠单元中数据点描述网格密度,利用单元内相邻边界与相邻点构建邻接单元。计算建筑空间中心坐标与核网格得到建筑空间的基类,凭借刚体运动学理论获得目标坐标向量数积,将该数据以矩阵的形式计算,得到建筑空间内某一轴转动与沿着某一轴移动的尺寸。最后通过莱茵达准则的基础理念,拟定不同的建筑空间坐标测量点,得到坐标的空间偏差,实现对建筑空间尺寸偏差的辨识。仿真结果证明,所提方法有着辨识精确度高与计算速度快的优点。Building spatial structures are vulnerable to geometric defects. In this paper, an identification method of building spatial size deviation based on grid multi-density is proposed. The principle of building space identification was analyzed to form building data space. The data space was differentiated in one dimension for obtaining spatial grid elements. According to the data points in the cell, the grid density was described. Adjacent boundaries and adjacent points within the cell were used to construct adjacent cells. The central coordinates of building space and core grid were calculated to obtain the base class of building space. Based on the rigid body kinematics theory, the target coordinate vector product was obtained, and then the data was calculated in the form of a matrix in order to obtain the size of rotation and movement along a certain axis in the building space. Reinda criterion was introduced to formulate different building spatial coordinate measurement points, obtaining the spatial deviation of coordinates. Lastly, the identification of building spatial dimension deviation was completed. The simulation results show that this method has high identification accuracy and short calculation time.

关 键 词：网格多密度 建筑空间 尺寸偏差 刚体运动学 坐标向量 

分 类 号：TU92[建筑科学—建筑设计及理论]