摘要
木结构无损检测技术对既有建筑安全性评估具有重要作用。对木结构无损检测中的常用技术手段进行归纳总结,并给出检测技术发展趋势。已有研究成果表明,针对木材内部缺陷检测方法的研究已取得明显进展,结合图像识别技术可确定木材内部缺陷位置和大小;现有检测指标与木材力学性能参数间具有一定相关性,但单一指标不能合理表征力学性能参数的变化规律,在后续研究中需解决预测公式的显式表达问题。多种检测技术的联合使用是未来木结构检测技术的发展趋势,人工神经网络技术已逐渐应用于木结构无损检测中。
Nondestructive testing technologies of timber structures play an important role in the safety assessment of existing buildings.This paper summarizes the recent development of commonly used nondestructive testing technologies,and presents the testing technology development trend.Previous research results indicated that the studies on the testing methods of wood internal defects had achieved certain results,combined with image recognition technology to determine the location and size of defects inside the wood.There was a correlation between the testing indicators and the mechanical property parameters of wood,but only one single index may not be able to reasonably characterize the variation of mechanical properties.The explicit expression problem of predictive formulas should be solved in the future research.The combination use of multiple testing technologies is the development trend of future technology.Artificial neural network technology has been gradually adopted in the nondestructive testing of timber structures.
作者
王明谦
王昆
许清风
WANG Mingqian;WANG Kun;XU Qingfeng(Shanghai Research Institute of Building Sciences,Shanghai 200032,China;Shanghai Key Laboratory of Engineering Structure Safety,Shanghai 200032,China;Shanghai Supervision Institute of Housing Safety,Shanghai 200002,China)
出处
《施工技术》
CAS
2019年第21期85-90,共6页
Construction Technology
基金
上海市青年科技英才扬帆计划项目(19YF1441800)
关键词
木结构
无损检测
内部缺陷
力学性能
研究
timber structures
nondestructive testing
internal defects
mechanical properties
research
作者简介
王明谦,博士,工程师,E-mail:1wangmingqian@tongji.edu.cn;通讯作者:许清风,博士,教授级高级工程师,E-mail:xuqingfeng73@163.com。
