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余热排出系统管道热疲劳分析模型及寿命预测 被引量:1
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作者 雷柏茂 高军 +4 位作者 胡湘洪 周羽 吴莘馨 万力 何觅 《原子能科学技术》 EI CAS CSCD 北大核心 2016年第1期137-142,共6页
余热排出系统管道发现的热疲劳裂纹问题关系到压水堆的安全。本文基于开源有限元软件Code_Aster,采用Lagoda-Macha-Sakane模型预测了余热排出系统管道材料304L不锈钢的疲劳寿命,并根据预测结果提出了改进的Lagoda-Macha-Sakane模型。采... 余热排出系统管道发现的热疲劳裂纹问题关系到压水堆的安全。本文基于开源有限元软件Code_Aster,采用Lagoda-Macha-Sakane模型预测了余热排出系统管道材料304L不锈钢的疲劳寿命,并根据预测结果提出了改进的Lagoda-Macha-Sakane模型。采用改进的Lagoda-Macha-Sakane模型对余热排出系统管道的热疲劳寿命进行了预测,结果表明预测热疲劳寿命与试验热疲劳寿命吻合。 展开更多
关键词 余热排出系统 304L不锈钢 疲劳分析模型 疲劳寿命预测
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Hybrid reliability model for fatigue reliability analysis of steel bridges 被引量:1
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作者 曹珊珊 雷俊卿 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第2期449-460,共12页
A kind of hybrid reliability model is presented to solve the fatigue reliability problems of steel bridges. The cumulative damage model is one kind of the models used in fatigue reliability analysis. The parameter cha... A kind of hybrid reliability model is presented to solve the fatigue reliability problems of steel bridges. The cumulative damage model is one kind of the models used in fatigue reliability analysis. The parameter characteristics of the model can be described as probabilistic and interval. The two-stage hybrid reliability model is given with a theoretical foundation and a solving algorithm to solve the hybrid reliability problems. The theoretical foundation is established by the consistency relationships of interval reliability model and probability reliability model with normally distributed variables in theory. The solving process is combined with the definition of interval reliability index and the probabilistic algorithm. With the consideration of the parameter characteristics of the S-N curve, the cumulative damage model with hybrid variables is given based on the standards from different countries. Lastly, a case of steel structure in the Neville Island Bridge is analyzed to verify the applicability of the hybrid reliability model in fatigue reliability analysis based on the AASHTO. 展开更多
关键词 hybrid reliability model (HRM) consistency relationships linear and bilinear S-N curve fatigue reliability normal distribution
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