首页> 外文期刊>Engineering Structures >Historical carpentry corner log joints-Numerical analysis within stochastic framework
【24h】

Historical carpentry corner log joints-Numerical analysis within stochastic framework

机译:历史木工角木原木接头-随机框架内的数值分析

获取原文
获取原文并翻译 | 示例

摘要

The paper presents the results of numerical analysis performed on historical, traditional carpentry corner log joints of two basic topologies: the short-corner dovetail connection and the saddle notch connection. These types of carpentry joints are commonly used in currently preserved objects of wooden architecture. All connections have been modelled in pinewood, which has been defined in the Finite Element software MSC.Marc/Mentat as an orthotropic material. The numerical calculations have been carried out for two types of connections with two different boundary conditions and load types. The contact phenomenon between the individual elements of the connections has been taken into account. The main purpose of the research is to select the most damage-resistant type of connection and to determine the stress distributions on the contact surfaces, which demines the damage areas. However, a lot of uncertainties appear in the studied models, e.g. due to the natural variability of the material properties of wood and the uncertainty of friction coefficient. Therefore the uncertainty quantification and global sensitivity analysis has been performed in order to include these uncertainties and study their effect on variation of the mechanical response of the connections. A regression-based non-intrusive polynomial chaos expansion method has been employed to complete the task.
机译:本文介绍了对具有两种基本拓扑结构的历史,传统木工角木对接节进行数值分析的结果:短角燕尾连接和鞍形缺口连接。这些类型的木工关节通常用于当前保存的木制建筑物体中。所有连接均已在松木中建模,这在有限元软件MSC.Marc / Mentat中已定义为正交异性材料。已经针对具有两种不同边界条件和载荷类型的两种类型的连接进行了数值计算。已经考虑到连接的各个元件之间的接触现象。该研究的主要目的是选择最耐损坏的连接类型,并确定接触表面上的应力分布,从而消除损坏区域。但是,在研究的模型中会出现很多不确定性,例如由于木材材料特性的自然可变性和摩擦系数的不确定性。因此,已经进行了不确定性量化和整体灵敏度分析,以包括这些不确定性并研究它们对连接机械响应变化的影响。基于回归的非侵入式多项式混沌扩展方法已被用来完成任务。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号