摘要
尽管配筋钢管混凝土(R-CFST)构件因其优越的力学性能越来越引起工程界的重视,但其承载力计算方法仍存在不合理之处。为此,采用非线性数值模拟方法研究R-CFST短柱基于统一理论的承载力。首先基于既有模型修正得到适合R-CFST的混凝土本构模型和非线性数值模拟方法,并用试验数据验证模型的可靠性;然后基于统一理论修正得到R-CFST的套箍指标,再以套箍指标为参数分析了108个试件模型;最后给出基于统一理论的R-CFST短柱承载力公式。结果表明:R-CFST的承载力随套箍指标的变化规律与常规钢管混凝土(CFST)相似,呈二次抛物线关系,而其塑性变形能力优于常规CFST;所提出公式的形式与规范公式相匹配,计算结果安全、可靠,符合工程实际。
Although reinforced concrete-filled steel tube(R-CFST) elements have been recognized in engineering works with their excellent structural performance,their bearing capacity calculation method however still has uncertainties.Therefore,the bearing capacity of R-CFST stub column based on unify theory was studied by non-linear numerical simulation method.Firstly,the constitutive model of concrete and non-linear numerical simulation method for R-CFST was adopted,the reliability of the model was verified by using the experimental test data,and then confinement index for R-CFST was obtained based on the unified theory,afterward 108 model specimens were analyzed using this confinement index as parameter,and finally equation for predicting the bearing capacity of R-CFST stub column was proposed.The results show that the influencing rule of confinement index on strength of R-CFST is similar to that of conventional concrete-filled steel tube(CFST),which is a quadratic parabolic relationship,and the plastic deformability is better than the conventional CFST;proposed formula matches with formula of specification,the calculation results are safe and reliable,and they are in line with the actual engineering conditions.
作者
阿里甫江·夏木西
史露江
伊尔潘江·艾力
XIAMUXI Alifujiang;SHI Lujiang;AILI Yierpanjiang(College of Architecture and Civil Engineering,Xinjiang University,Urumqi 830047,China;International School of Economics and Trade,Xinjiang University of Finance and Economics,Urumqi 830012,China)
出处
《建筑结构》
北大核心
2023年第21期44-50,共7页
Building Structure
基金
国家自然科学基金资助项目(51968068)。
关键词
配筋钢管混凝土柱
统一理论
塑性变形
承载力
套箍指标
非线性分析
reinforced concrete-filled steel tube column
unify theory
plastic deformation
bearing capacity
confinement index
non-linear analysis
