4.6 Article

Implementation of an elastic no-tension material model in a sequentially linear analysis framework

期刊

出版社

ELSEVIER
DOI: 10.1016/j.finel.2022.103891

关键词

Elastic no-tension material; Sequential linear analysis; Masonry; finite elements

向作者/读者索取更多资源

Sequential Linear Analysis (SLA) is a valid alternative for brittle material analysis compared to incremental-iterative finite element solutions. In SLA framework, the no-tension masonry-like material model is implemented in plane stress conditions, with sequential alignment of material axes and reduction of directional stiffness at critical points. It results in compressive stress fields with virtually no tensile stresses.
Sequential Linear Analysis (SLA) has been recognized by researchers as a valid alternative for the analysis of brittle materials compared to incremental-iterative finite element solutions. The elastic no-tension masonry-like material model, with infinite strength in compression and negligible tensile strength, has been implemented in plane stress conditions within the SLA framework.The isotropic no-tension masonry-like material is replaced with an orthotropic one, which exhibits a negligible response along material axis where the principal stress reads positive. In the SLA framework, a series of linear elastic analyses are carried out, sequentially aligning material axes with principal stress directions, and reducing directional stiffness at the critical material points where positive stresses are found. This process is carried out up to the point when the change in the total strain energy finds a plateau. The implementation follows a combined application of a user subroutine in Abaqus with Matlab and Python scripts.Several cases dealing with self-weight, settlements and horizontal loading are developed to demonstrate its applicability. The results demonstrate the possibility to generate compressive stress fields, with tensile stresses virtually vanishing at all material points.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据