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主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

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引用本文:陈铸斌,孟宪杰,姚梦飞,李铁英,王小龙.联合无损检测技术的木材密度和抗压强度预测[J].哈尔滨工业大学学报,2023,55(10):141.DOI:10.11918/202205075
CHEN Zhubin,MENG Xianjie,YAO Mengfei,LI Tieying,WANG Xiaolong.Prediction of wood density and compressive strength based on combined nondestructive testing technology[J].Journal of Harbin Institute of Technology,2023,55(10):141.DOI:10.11918/202205075
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联合无损检测技术的木材密度和抗压强度预测
陈铸斌1,孟宪杰1,2,姚梦飞1,李铁英1,王小龙3
(1.太原理工大学 土木工程学院,太原 030024;2.山西建设投资集团有限公司博士后科研工作站,太原 030032; 3.山西省古建筑与彩塑壁画保护研究院,太原 030012)
摘要:
为实现古建筑木构件的无损检测,提出基于无损检测技术的木材密度和抗压强度的线性预测公式。运用超声波-针阻仪联合检测技术测量了12种木材不同纹理方向的超声波波速和抗压强度以及径向和斜向的阻抗比,拟合得到了预测公式中的回归系数,再将预测公式应用于对2种新木材和1种古木的密度和抗压强度的预测中。结果表明:木材超声波波速和阻抗比与其密度和抗压强度均呈正相关线性关系,而采用超声波-针阻仪联合检测技术时,通过多元回归方法得到线性关系的拟合优度有显著提升。对新、古木材密度进行预测时,仅采用针阻仪技术即可实现精确预测,其中对新木材的预测误差小于5%,对古木的预测误差小于1%;对新、古木材抗压强度进行预测时,采用单一的检测技术预测误差较大,而采用联合检测方法的预测效果较好,对新木材的预测误差小于5%,对古木的预测误差小于9%。试验验证了采用超声波-针阻仪联合检测技术对木材密度和抗压强度进行精确预测的可行性,成果可为古建筑木构件的健康监测提供重要技术支持。
关键词:  联合无损检测  超声波波速  阻抗比  密度  抗压强度
DOI:10.11918/202205075
分类号:TJ765.4
文献标识码:A
基金项目:国家自然科学基金(52108465)
Prediction of wood density and compressive strength based on combined nondestructive testing technology
CHEN Zhubin1,MENG Xianjie1,2,YAO Mengfei1,LI Tieying1,WANG Xiaolong3
(1.College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Postdoctoral Research Station of Shanxi Construction Investment Group Co. Ltd., Taiyuan 030032, China; 3.Shanxi Ancient Architecture and Painted Murals Protection Research Institute, Taiyuan 030012, China)
Abstract:
To realize nondestructive testing of ancient wood components, we proposed linear prediction formulas for wood density and compressive strength based on combined testing technology. The ultrasonic wave velocity and compressive strength of 12 kinds of wood in different grain directions, as well as the impedance ratio in radial and oblique directions, were measured using the ultrasonic-needle resistance instrument combined detection technology. The regression coefficients in the prediction formulas were fitted, and then the prediction formulas were applied to the prediction of the density and compressive strength of two kinds of new wood and a kind of ancient wood. Results show that the ultrasonic wave velocity and impedance ratio of wood were positively correlated with wood density and compressive strength, and the goodness of fit of the linear relationship obtained by multiple regression method was significantly improved when the ultrasonic-needle resistance instrument combined detection technology was adopted. When predicting the density of new and ancient wood, only needle resistance instrument technology achieved accurate prediction. The prediction error of new wood was less than 5%, and that of ancient wood was less than 1%. When predicting the compressive strength of new and ancient wood, the prediction error of single detection technology was large, while the prediction effect of combined detection method was better. The prediction error of new wood was less than 5%, and that of ancient wood was less than 9%. The tests verify the feasibility of using ultrasonic needle resistance instrument combined detection technology to predict wood density and compressive strength. The results can provide important technical support for the health monitoring of ancient building wood components.
Key words:  combined nondestructive testing  ultrasonic wave velocity  impedance ratio  density  compressive strength

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