不同使用年限木材弯曲破坏声发射特性研究

袁晓聪; 周占学; 江一博; 常宇; 吴凯

doi:10.13204/j.gyjzG21121307

不同使用年限木材弯曲破坏声发射特性研究

doi: 10.13204/j.gyjzG21121307

1. 河北建筑工程学院土木工程学院, 河北张家口 075000;
2. 河北省土木工程诊断、改造与抗灾重点实验室, 河北张家口 075000

基金项目:

国家自然科学基金项目（52078476）；国家住房和城乡建设部科学技术计划项目（2016-K5-007）；河北省高等学校青年拔尖人才计划（BJ2020010）。

详细信息

作者简介:
袁晓聪,男,1995年出生,硕士研究生。

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- 文章访问数: 168
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- 被引次数: 2
出版历程
- 收稿日期: 2021-12-13
- 网络出版日期: 2022-10-28

Research on Acoustic Emission Characteristics of Bending Failure of Timber with Different Service Life

1. College of Civil Engineering, the University of Architecture, Zhangjiakou 075000, China;
2. Hebei Key Laboratory of Civil Engineering Diagnosis, Transformation and Disaster Resistance, Zhangjiakou 075000, China

摘要

摘要: 为探究不同使用年限的木材受弯损伤过程中的声发射演化规律，制备了三组不同使用年限的木材进行三点弯曲声发射试验。研究各使用年限木材在承载过程中与声发射参数特征的关联性，并深入分析了木材失稳破坏前声发射主频演化及能量特征前兆。试验结果表明：木材的使用年限影响声发射活度，根据声发射参数变化可以反映木材内部的损伤变化，从而间接反映木材的使用状态；使用年限一定程度上影响主频分布，其主频主要分布在0~200 kHz，明显成段分布，使用年限较久的木材主频分布较为离散；各组试件在损伤过程中各频带能量的变化对应不同试件状态，中低频带占比较高时主要以弹性变形为主，高频带占比较高时以塑性变形为主，当两频带能量发生突变时预示试件发生断裂，对于预测木材断裂具有一定价值。
- 古建木材 /
- 使用年限 /
- 声发射特性 /
- 振铃计数 /
- 频谱分析 /
- 小波包变换
Abstract: In order to explore the evolution law of acoustic emission in the process of bending damage of timber with different service life, three groups of wood with different service life were prepared for three-point bending acoustic emission test. The paper studied the correlation between the bearing process of timber with the characteristics of acoustic emission parameters, and deeply analyzed the evolution of acoustic emission dominant frequency and energy characteristics precursors before timber instability and failure. The test results showed that the service life of timber affected the acoustic emission activity, and the change of acoustic emission parameters could reflect the internal damage of timber, so as to indirectly reflect the service state of timber; the service life affected the main frequency distribution to a certain extent. The main frequency was mainly distributed in 0-200 kHz, which was obviously distributed in segments. The main frequency distribution of timber with long service life was relatively discrete; the change of energy in each frequency band of each group of specimens in the damage process corresponded to different specimen states. When the proportion of medium and low frequency band was relatively high, it was mainly elastic deformation, and when the proportion of high frequency band was relatively high, it indicated the fracture of specimens, which had a certain value for predicting timber fracture.
- ancient timber /
- service life /
- acoustic emission characteristics /
- ring count /
- spectrum analysis /
- wavelet packet decomposition

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参考文献(18)

[1]	于帅帅.木构古建筑缺陷检测方法发展现状及其展望[J].林业机械与木工设备,2016,44(11):4-5 ,13.
[2]	RESCALVO F J.Monitoring of carbon fiber-reinforced old timber beams via strain and multiresonant acoustic emission sensors[J]. Sensors (Basel, Switzerland), 2018, 18(4):1224-1224.
[3]	MARIANNE P, IMEN Y, GONG X J, et al. Acoustic monitoring of timber structures:Influence of wood species under bending loading[J]. Construction and Building Materials, 2019, 208:125-134.
[4]	KOSEI A. Microscopic processes of shearing fracture of old wood, examined using the acoustic emission technique[J]. Journal of Wood Science, 2006, 52(6):483-489.
[5]	孙建平,王逢瑚,朱晓东,等.动态载荷下基于声发射技术的杨木破坏过程检测[J].林业科学,2006(9):89-92.
[6]	孙建平,王逢瑚,朱晓冬,等.基于声发射技术的木材损伤过程监测[J].福建林学院学报,2006(4):344-348.
[7]	谢启芳,张利朋,王龙,等.东北落叶松材单向顺纹受拉损伤模型[J].湖南大学学报(自然科版),2017,44(11):109-116.
[8]	JIAO J P. A new acoustic emission source location technique based on wavelet transform and mode analysis[J]. Frontiers of Mechanical Engineering in China, 2006, 1(3):341-345.
[9]	孙丽萍,刘德胜,曹军.基于小波包的木材含水率在线检测[J].计算机应用研究,2009,26(3):966-967.
[10]	刘嘉新,刘立伟,王克奇.基于小波包和RBF神经网络的木材空洞诊断研究[J].西南林业大学学报,2016,36(6):137-142.
[11]	曹旗.故宫古建筑木构件物理力学性质的变异性研究[D].北京:北京林业大学,2005.
[12]	中国国家标准化管理委员会.木材物理力学试材锯解及试样截取方法:GB/T 1929-2009[S].北京:中国标准出版社,2009.
[13]	蒙彦宇,赵国栋,高爽,等.基于全信息声发射技术的钢筋混凝土梁损伤过程监测[J].土木工程与管理学报,2018,35(5):55-59.
[14]	张志研,赵东.木材损伤的声发射模式研究[J].力学与实践,2009,31(2):74-77.
[15]	王创业,常新科,杜晓娅.不同尺寸砂岩破坏全过程声发射主频分析[J].矿冶工程,2019,39(6):10-14.
[16]	申珂楠,赵海龙,丁馨曾,等.木材损伤断裂过程声发射信号小波析取[J].河南科技大学学报,2015,36(3):33-37 ,6.
[17]	史慧扬,李海洋,王召巴,等.基于小波包能量谱的声发射信号处理技术[J].测试技术学报,2019,33(3):201-208.
[18]	齐巍,王立海.小波包分析在木材超声检测中的应用[J].森林工程,2005(3):24-25,39.

施引文献

期刊类型引用(2)

1.	何佳明，佘艳华，李猛. 不同含水率雪松木材损伤声发射参数特性. 东北林业大学学报. 2024(02): 91-96+105 . 百度学术
2.	何佳明，李猛，蔡高洁，胡彬，佘艳华. 不同含水率雪松木的裂纹演化规律试验研究. 科学技术与工程. 2023(05): 1888-1894 . 百度学术