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基于可拓识别法的生态复合墙体破坏模式判别

Failure mode recognition of ecological composite wall based on the extension identification method

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【作者】 黄炜李斌张巍杨增科

【Author】 Huang Wei;Li Bin;Zhang Wei;Yang Zengke;College of Civil Engineering,Xi’an University of Architecture and Technology;Shandong Liaojian Group;

【机构】 西安建筑科技大学土木工程学院山东聊建集团

【摘要】 对不同类型1/2比例模型的生态复合墙体水平低周反复加载试验进行分析,总结不同类型生态复合墙体的破坏模式,对比分析内填砌块材料、肋柱数量、高宽比、轴压比等因素对于墙体破坏模式的影响规律.在对墙体进行非线性数值扩展分析的基础上,进一步归纳关键因素指标对生态复合墙体破坏模式的影响规律.将可拓识别方法引入到生态复合墙体破坏模式定量识别中,确定生态复合墙体破坏模式可拓识别方法的实现步骤,并对试验墙体的实际破坏模式与实例计算结果进行对比分析.试验研究与理论分析表明:可拓识别方法能较真实地反映复合墙体在水平荷载作用下的破坏模式类型,具有较强的识别评判能力,为生态复合墙结构的设计理论提供了一种关键构件破坏模式的快速识别方法.

【Abstract】 Through the analysis of four groups in 1/2scale of different types of ecological composite wall model on horizontal low cyclic loading test,the different types of ecological composite wall failure modes were summarized.The factors of the fill block materials,numbers of rib column,height to width ratio,axial compression ratio which influence the law of failure modes were analyzed in comparative.On the basis of the wall body analysis with nonlinear numerical extended,the key factors which influence the law of ecological composite wall failure modes were inductived further.The extension identification method was introduced into the quantitative recognition of ecological composite wall failure modes to determine the implementation steps of ecological composite wall failure modes in extension identification method.The actual failure modes of test wall and the calculated results were compared and analyzed.Test research and theoretical analysis show that the extension identification method can reflect the types of failure modes on composite wall under horizontal loads with strong recognition ability to provide a key component failure mode of rapid identification method for the evaluation of ecological composite wall structure design theory.

【基金】 国家十二五科技支撑计划资助项目(2012BAJ16B02);国家自然科学基金资助项目(51378416);长江学者和创新团队发展计划资助项目(IRT13089)
  • 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology(Natural Science Edition) , 编辑部邮箱 ,2015年01期
  • 【分类号】TU312.3
  • 【网络出版时间】2015-01-15 17:12
  • 【被引频次】2
  • 【下载频次】101
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