单层柱面网壳结构极限承载力参数分析及预测  

Analysis and Prediction of Ultimate Bearing Capacity Parameters for Single-layer Cylindrical Reticulated Shell Structures

作　　者：方益敏 乔栋[2] 李颖 FANG Yi-min;QIAO Dong;LI Ying(Hebei Institute of Architecture and Civil Engineering,Zhangjiakou,Hebei 075000;College of Architecture and Geomatics Engineering,Shanxi Datong University,Datong,Shanxi 037003)

机构地区：[1]河北建筑工程学院,河北张家口075000 [2]山西大同大学,山西大同037003

出　　处：《河北建筑工程学院学报》2022年第2期17-23,共7页Journal of Hebei Institute of Architecture and Civil Engineering

摘　　要：采用ANSYS有限元软件对比分析了单斜杆型、双斜杆型、三向网格和联方型四种单层柱面网壳结构在不同矢跨比情况下,长跨比与初始几何缺陷对结构极限承载力影响规律,分析结果表明:长跨比对不同矢跨比的联方型与三向网格型网壳极限承载力的影响成规律性变化,即矢跨比越大,长跨比的影响越显著,这一影响趋势对于单斜杆及双斜杆网壳并不明显,同时,初始几何缺陷对矢跨比越小的网壳影响越显著。最后,提出一种基于BP神经网络的考虑初始几何缺陷的柱面网壳极限承载力预测方法,通过测试验证,该方法预测结果误差最大不超过6%,可较为理想的预测结构的极限承载力。ANSYS finite element software is used to analyze the change rule of the ultimate bearing capacity of four kinds of single-layer cylindrical reticulated shell,namely,the single diagonal type,double diagonal,three-way grid type and union square type,under the influence of length-span ratio and initial geometric defects.The analysis results showed that the influence of length-span ratio on the ultimate bearing capacity of square and three-direction grid shells with different span ratio varies regularly,that is,the larger the span ratio is,the more significant the influence of length-span ratio is.This influence trend is not obvious for single and double inclined lattice shells.At the same time,the initial geometric defect has a more significant effect on the reticulated shells with smaller rise-span ratios.Finally,a new method is proposed.Based on the BP neural network,a method for predicting the ultimate bearing capacity of cylindrical reticulated shells considering initial geometric defects has been verified by tests.

关 键 词：单层柱面网壳结构 极限承载力 参数化分析 BP神经网络 

分 类 号：TU391[建筑科学—结构工程]