摘要
结合Bouc-Wen-Baber-Noori(BWBN)模型和微分进化(DE)算法,提出了一种能够有效考虑强度退化、刚度退化和捏拢效应等典型滞回特性的钢筋混凝土(RC)柱的非弹性恢复力模型及其参数识别方法,并讨论了破坏模式对RC柱非弹性恢复力模型参数的影响规律。分析结果表明,该模型能够较好地描述弯曲、弯剪和剪切破坏模式下RC柱的典型滞回特性;基于DE算法能够较好地识别RC柱的非弹性恢复力模型参数,具有收敛速度快、识别精度高和全局优化性强等优点;RC柱的非弹性恢复力模型参数与破坏模式密切相关,随着RC柱的破坏模式从弯曲破坏到弯剪破坏和剪切破坏的变化,强度退化、刚度退化、捏拢总滑移量、捏拢斜率等参数均逐渐增大,说明剪切破坏型RC柱的退化效应和捏拢效应更加明显。
The inelastic restoring force model and its parameter identification for reinforced concrete （RC）columns were studied by combining the differential evolution （DE ）algorithm with Bouc-Wen-Baber-Noori （BWBN ）model considering the typical hysteretic behaviors,such as,strength degradation,stiffness deterioration and pinching effect.The influences of failure modes on the model parameters of inelastic restoring force of RC columns were also discussed.The analysis results indicated that the hysteretic behaviors of restoring force of RC columns can be described rationally with the proposed inelastic restoring force model;the proposed method for the parameter identification of the inelastic restoring force model has a rapid convergence speed,a high identification accuracy and the strong capability of global optimization;the failure mode has a significant effect on the model parameters of inelastic restoring force of RC columns;the model parameters including strength degradation,stiffness deterioration,total slip of pinching and pinching slop increase gradually when the failure mode changes from flexure failure to flexure-shear failure and shear failure,so the deterioration and pinching effects of the shear failure type of RC columns are more obvious.
出处
《振动与冲击》
EI
CSCD
北大核心
2016年第21期229-235,共7页
Journal of Vibration and Shock
基金
国家自然科学基金(51368006)
广西自然科学基金重大项目(2012GXNSFEA053002)
广西自然科学青年基金项目(2013GXNSFBA019237)
广西高校科学技术研究项目(2013YB009)
关键词
钢筋混凝土柱
非弹性
恢复力
破坏模式
参数识别
reinforced concrete column
inelastic
restoring force
failure mode
parameter identification
