国产高强度结构钢材材性参数统计与分析*
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（土木工程安全与耐久教育部重点实验室，清华大学土木工程系， 北京 100084）
［摘要］为了解国产高强度结构钢材的生产情况，获得国产高强度结构钢材的材性参数，对目前国内主要钢铁企业生产的Q500，Q550和Q690结构钢材进行了调研。调研的内容主要为材料的力学性能。同时开展了独立的材性试验，作为对调研收集数据的验证和补充。对收集到的数据分企业进行了统计分析，了解每一家企业的生产情况，从而对国产高强度结构钢材生产情况有一个全面的认识。在此基础上，采用数理统计的方法对独立试验的数据和调研收集的数据进行了综合分析，得到了不同钢材牌号不同厚度分组材料屈服强度的统计参数，得到的材性参数将作为下一步计算高强钢构件抗力分项系数的基础，为《高强钢结构设计规程》的编制提供研究依据。［关键词］高强钢; 力学性能; 屈服强度; 数理统计中图分类号：TU391 文献标识码：A 文章编号：1002-848X(2015)21-0009-07
Statistics and analysis of material properties of domestic high-strength structural steels in ChinaZhu Xi, Shi Gang(Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China)Abstract: In order to investigate the production status of domestic high-strength structural steels and obtain the parameters of material properties, Q500, Q550 and Q690 steels produced by major steel manufacturers in China have been studied. The main research content contains the data of mechanical properties. Meanwhile, the independent material test was carried out, which can be viewed as the verification and supplement of the collected data. The collected data which were firstly classified by different manufacturers were analyzed by statistical method to investigate the production status of each manufacturer, which help us to have a full picture of the production status of high-strength structural steels in China. On this basis, the collected and independent test data were classified by different grades and thicknesses. On this basis, the collected and independent test data were analyzed by the mathematical statistics method. The statistical parameters of yield strength which were classified by different grades and thicknesses were obtained, which would be used for calculating the partial factors for resistance of high-strength steels and give practical suggestions to Specification for design of high strength steel structures of China.Keywords: high-strength steel; mechanical property; yield strength; mathematical statistics
*北京高等学校青年英才计划项目(YETP0077)。作者简介：朱希，硕士，Email：xi_zhu@ecadi.com。
