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作 者:张俊峰[1] 张江川 韩东光 任立群 ZHANG Junfeng;ZHANG Jiangchuan;HAN Dongguang;REN Liqun(School of Water Conservancy and Transportation,Zhengzhou University,Zhengzhou 450001,Henan,China;School of Civil Engineering,Zhengzhou University,Zhengzhou 450001,Henan,China;The Second Construction Co.,Ltd.of China Construction First Group,Beijing 102600,China)
机构地区:[1]郑州大学水利与交通学院,河南郑州450001 [2]郑州大学土木工程学院,河南郑州450001 [3]中建一局集团第二建筑有限公司,北京102600
出 处:《建筑科学与工程学报》2025年第2期1-15,共15页Journal of Architecture and Civil Engineering
基 金:河南省科技攻关计划项目(212102310283)。
摘 要:为完善冷弯型钢(CFS)构件设计体系中的几何缺陷部分,通过缺陷分类、测量技术、模拟理论等方法对各国的相关试验与理论成果进行分析。结果表明:目前中国规范缺乏畸变缺陷的相关规定,需要进一步完善;在测量技术方面,接触式测量法和非接触式测量法在成本、测量精度和数据后处理等多个方面存在不同的优势和缺点;在数值模拟方法中,有限条法在分解屈曲模态、求解半波长等方面具有独特优势;在目前的几何缺陷模拟理论中,一致缺陷模态法最为简便,但理论依据不足,预测结果不够准确;传统组合模态法对整体缺陷的模拟不够准确,对于中长柱和长柱的预测结果偏于安全;一维频谱模态法将几何缺陷由时域变换至频域,缺陷幅值表现出一定周期性,预测结果较为准确;二维频谱法理论复杂,对畸变缺陷和整体缺陷的模拟存在局限性;机器学习为随机概率法提供了一个新的研究方向,但需要大量的实测几何缺陷数据用以训练模型。In order to improve the geometric imperfections in the design system of cold-formed steel(CFS)members,the relevant experimental and theoretical achievements in different countries were analyzed through the classification of imperfections,measurement techniques,simulation theories and other aspects.The results show that at present,there is a lack of relevant provisions on distortional imperfections in Chinese standards,which needs to be further improved.In terms of measurement techniques,contact measurement techniques and non-contact measurement techniques have their own advantages and disadvantages in aspects such as cost,measurement accuracy and data post-processing.Among the numerical modeling methods,the finite strip method has a unique advantage in the decomposition of buckling modes and the solution of half-wavelength.The theories of simulation on geometric imperfections are related to buckling modes,among which the first buckling mode approach is the simplest,but its theoretical basis is insufficient and predicted results are not accurate.The traditional combined mode approach is not accurate enough to simulate the global imperfections,and the predicted results of middle long columns and long columns tend to be conservative.The one-dimensional modal spectral approach transforms geometric imperfections from time domain to frequency domain,and the magnitudes of imperfections show a certain periodicity,and the predicted results are more accurate.In addition,the two-dimensional spectral approach is complicated,and the simulation of distortional imperfections and global imperfections is limited.Machine learning provides a new research direction for stochastic probabilistic method,but it requires a lot of measured data about geometric imperfections to train the model.
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