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基于应变能的不锈钢复合钢材低周疲劳性能研究 被引量:1

Strain energy-based low-cycle fatigue behaviour analyses of stainless-clad bimetallic steel
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摘要 为了研究不锈钢复合钢的低周疲劳性能,在已有试验的基础上,从应变能的角度对不锈钢复合钢(复层钢材为S31603、基层钢材为Q355B)和基层低合金钢Q355B的疲劳性能进行分析,基于应变能引出标准滞回环的概念,分析循环应变能和材料的Masing特性,并提出一种基于能量的疲劳寿命预测模型。研究结果表明:应变幅是影响不锈钢复合钢和基层低合金钢应变能和低周疲劳寿命的主要因素;两种材料的循环硬化特征主要发生在前几次循环内,而后呈现循环软化特征;在整个加载过程中,两种钢材表现出循环稳定性,且稳态过程占据大部分循环周期;提出的基于应变能的低周疲劳寿命预测模型可以有效拟合不锈钢复合钢和基层低合金钢的低周疲劳寿命曲线,其可以作为应变-疲劳寿命预测的替代方案。 In order to study the low-cycle fatigue behaviour of stainless-clad(SC)bimetallic steel,research on the SC bimetallic steel S31603+Q355B and its corresponding substrate conventional mild(CM)steel Q355B was further expanded in this study from an energy-based perspective on the basis of existing test data.The concept of standard hysteresis loop was clarified,the cyclic strain energy and Masing properties of the metals were analyzed,and a new energy-based fatigue life prediction model was proposed.The results show that the strain amplitude is the main factor affecting the strain energy and low-cycle fatigue life of the SC bimetallic steel and the substrate CM steel.Cyclic hardening was observed in both the SC bimetallic steel and the corresponding CM steel,but it mainly occurred within the first several cycles,followed by visible cyclic softening features.The two steels exhibited cyclic stability during the entire cyclic loading process,and the steady-state process accounted for most of the cycling period.The proposed energy-based low-cycle fatigue life prediction model can effectively fit the fatigue life curves of both the SC bimetallic steel and the substrate CM steel,which can be used as an alternative to strain-fatigue life analyses.
作者 班慧勇 杨晓峰 石永久 BAN Huiyong;YANG Xiaofeng;SHI Yongjiu(Department of Civil Engineering,Tsinghua University,Beijing 100084,China)
出处 《建筑结构学报》 EI CAS CSCD 北大核心 2023年第12期216-224,共9页 Journal of Building Structures
基金 国家自然科学基金项目(52061160485)。
关键词 不锈钢复合钢 应变能 低周疲劳性能 预测模型 疲劳寿命 stainless-clad bimetallic steel strain energy low-cycle fatigue behaviour prediction model fatigue life
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