大规格角钢靴板节点特征分析与减孔数计算方法  

Feature Analysis and Section Reduction Factor Calculation Method of Foot Joint for Large-size Angles

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作  者:杨隆宇 林恺 YANG Longyu;LIN Kai(North China Power Engineering Co.Ltd.of China Power Engineering Consulting Group,Beijing 100120,China;Hubei Subsurface Multi-scale Imaging Key Laboratory,School of Geophysics and Geomatics,China University of Geosciences,Wuhan 430074,China)

机构地区:[1]中国电力工程顾问集团华北电力设计院有限公司,北京100120 [2]中国地质大学(武汉)地球物理与空间信息学院地球内部多尺度成像湖北省重点实验室,武汉430074

出  处:《科技和产业》2025年第2期57-63,共7页Science Technology and Industry

摘  要:采用单肢布置2排以上高强螺栓的L320、L360高强角钢是特高压工程的发展趋势。现行计算方法没有明确其破裂面的形式,由于螺栓准线数多,计算时需对每个螺栓节点计算多次,不便于工程应用。通过多排孔板件试验、大角钢有限元计算建立训练集,构造随机森林回归模型对大角钢构件减孔数进行特征分析,结果表明,当单肢螺栓准线数增加后现行计算方法中相邻准距的权重过高、壁厚的偏低,在模型几何尺寸变化时计算结果容易产生较大波动;通过调参后的随机森林模型、特征选择后简化了螺栓减孔数计算方法,其计算结果稳定,与有限元模型更相符,泛化能力较好,也可用于两排螺栓减孔数计算。It is a trend to apply L320 and L360 high-strength angle members in±800kV ultra high voltage(UHV)transmission lines.The current calculation method does not clarify the failure mode of tension member.Due to the quantities of bolts in the connection,each joint needs to be calculated multiple times,which is inconvenient in engineering.The training sets were established through the tests of multi alignment lines plate members and finite element analysis of large-size angles,and a random forest regression(RFR)model was constructed to perform feature analysis on the section reduction factor.The results show that the weight of adjacent alignment line(Δg 1)is too high and for the thickness(t)is low in the current calculation method,which may easily cause significant fluctuations in the results while geometric dimensions of models are changed.The calculation method for section reduction factor is simplified through the optimization of RFR model feature analysis,and the results are stable and more consistent with the FEA models.The predictive model has good generalization ability and could be used in angles with 2 alignment lines in one leg.

关 键 词:大规格钢 减孔数 随机森林 特征选择 板件试验 有限元分析 

分 类 号:TU392.6[建筑科学—结构工程]

 

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