古建筑木构件残损特征及其内部空洞的应力波无损检测

发布时间：2018-06-06 00:49

本文选题：古建筑木构件 + 残损特征　；参考：《北京工业大学学报》2016年02期

【摘要】：为了更准确地掌握古建筑木构件内部残损状况,在大量现场调研的基础上分析木构件残损特征和主要残损部位,采用FAKOPP应力波对榆木试件采取逆向试验,研究在不同形状、大小的空洞下应力波对空洞面积、空洞形状、波速衰减的数字采集情况.研究结果显示:随着空洞的不断扩大,检测面积与实际面积之间的误差值逐渐减小,最小误差可达4%,此外两者之间存在显著线性关系.FAKOPP应力波对空洞形状的识别较弱,当空洞位置为中部时,将二维平面检测图与反映V_a、V_b、V_c、V_d、V_e波速线形图进行综合分析有利于对内部孔洞形状的判定以及空洞面积的参考.其中以V_c路径的波速最为稳定,当空洞达到截面面积1/2时,对比完整试件其波速衰减最高可达51.16%.研究成果有利于古建筑进行预防性保护以及将检测方法由定性转为量化分析,为实际工程的修缮加固方案提供有效数据支持.
[Abstract]:In order to get a more accurate understanding of the internal damage of wood members in ancient buildings, based on a large number of field investigations, the characteristics and main damaged parts of wood members were analyzed. The FAKOPP stress wave was used to reverse test the elm specimens, and the results were studied in different shapes. The size of the cavity under the stress wave on the cavity area, cavity shape, wave velocity attenuation digital acquisition situation. The results show that with the continuous expansion of voids, the error between the measured area and the actual area decreases gradually, and the minimum error can reach 4. In addition, there is a significant linear relationship between the two. The recognition of cavity shape by FAKOPP stress wave is weak. When the cavity position is in the middle, it is beneficial to judge the shape of the inner hole and the reference area of the cavity by synthetically analyzing the two-dimensional plane inspection map and the V _ AV _ B _ V _ V _ T _ V _ V _ V _ V _ V _ V _ V _ D _ V _ V _ V _ V _ V _ V _ V _ V _ V _ V _ V _ V _ D _ When the cavity reaches a cross-section area of 1 / 2, the maximum attenuation of the wave velocity of the whole specimen is 51.16. The research results are beneficial to the preventive protection of the ancient buildings and the transformation of the testing methods from qualitative to quantitative analysis, and provide effective data support for the repair and reinforcement schemes of practical projects.
【作者单位】：北京工业大学建筑与城市规划学院;北京市历史建筑保护工程技术研究中心;北京工业大学建筑工程学院;
【基金】：国家科技支撑计划资助项目(2013BAK01B03-01) 国家自然科学基金资助项目(51278003) 北京市自然科学基金资助项目(8132009) 北京工业大学研究生科技基金资助项目(ykj-2014-10666)
【分类号】：TU366.2

【参考文献】