当前位置: X-MOL 学术Struct. Concr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Probabilistic modeling of reinforcing bar fatigue on the basis of surface topography data
Structural Concrete ( IF 3.0 ) Pub Date : 2020-08-07 , DOI: 10.1002/suco.202000121
Kai Osterminski 1
Affiliation  

The fatigue of reinforcing bars—as one example of reinforcements in general— is strongly influenced by their surface properties. A lot of research in the 1960s and 1970s has led to the formulation of an analytical model that connects notch stresses to the resulting load cycles in fatigue tests. This article presents the work undertaken in a DFG (German Research Foundation) research project, in which the procedure for assessing the surface properties of rebars with a high‐precision laser‐linescan system (LLS‐system) and subsequently performed fatigue tests were developed. An analytical model was taken as a basis in order to quantify the input parameters and derive the corresponding notch stress factors. The concluding modeling took the scatter into account and allowed for a safety‐based recommendation for the derived notch stress factors of reinforcing bars.

中文翻译:

基于表面形貌数据的钢筋疲劳概率模型

钢筋(通常是钢筋的一个示例)的疲劳强度受其表面性能的强烈影响。1960年代和1970年代的大量研究导致了解析模型的建立,该模型将缺口应力与疲劳测试中产生的载荷循环联系起来。本文介绍了在DFG(德国研究基金会)研究项目中进行的工作,在该项目中,开发了使用高精度激光线扫描系统(LLS-system)评估钢筋表面性能并随后进行疲劳测试的程序。以分析模型为基础,以量化输入参数并导出相应的缺口应力因子。
更新日期:2020-08-07
down
wechat
bug