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木构古建筑柱架层的加固抗震保护试验研究 被引量:2

Experimental Research on Seismic Protection of Frame Structure of Ancient Wooden Buildings
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摘要 以高寒冷风侵环境下的长春市木构建筑为研究方向,对加固后的古建筑柱架层进行地震模拟实验并分析其所具备力学特性。首先,针对未加固的木构古建筑模拟不同地震强度实行振动台实验,将木结构中各耗能构件受力性能及在不同地震强度下需要的耗散能量作为基础,构建木构古建筑耗能构件地震等级破坏测评模型,并可反映未加固的古建筑实际地震灾害等级;其次,对古建筑进行碳纤维加固同时进行振动台实验,根据加固后的木结构力学性能可获得古建筑在不同地震作用下的特殊受力性能及建筑柱架层的位移值和加速度响应值,并获知在以上两个参数增大过程中动力放大系数逐渐变小,表明加固后柱架层榫节点耗能起到明显减震作用。实验证明,对木构古建筑加固后实现了抗震保护目的。 The effective protection of historic timber buildings with high cold wooden building Changchun wind invasion environment as the research direction in this paper,the seismic simulation experiment for reinforcement of ancient buildings and analysis of column frame layer with its mechanical properties. First of all,according to the UN reinforced wooden ancient building simulation of different earthquake intensity implementation of shaking table test,the wooden structure in the energy component of stress performance and needs under different earthquake intensity energy dissipation as the basis,construction of ancient wooden building seismic energy component damage grade evaluation model,and can reflect the actual level of ancient buildings without earthquake disaster reinforcement; secondly,the ancient buildings and vibration experiments of carbon fiber reinforcement,according to the displacement of wood structure mechanical properties after reinforcement can be obtained in different ancient buildings under earthquake special force performance and building column frame layer value and acceleration response value,and that in the above two parameters increase the amplification coefficient of power in the process of gradually,show that after strengthened column frame layer tenon node energy has obvious damping effect.The experiment proves that the seismic protection aim of the wooden ancient building is strengthened.
作者 张雪
机构地区 长春建筑学院
出处 《科技通报》 2018年第2期192-195,201,共5页 Bulletin of Science and Technology
关键词 冷风环境 木构古建筑 加固抗震 耗能分析 cold wind environment ancient wooden buildings seismic protection energy analysis
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