声-超声技术评价兴安落叶松规格材的抗弯性质

doi:10.11707/j.1001-7488.20141013

林业科学 ›› 2014, Vol. 50 ›› Issue (10): 94-98.doi: 10.11707/j.1001-7488.20141013

声-超声技术评价兴安落叶松规格材的抗弯性质

张训亚, 姜笑梅, 吕斌, 殷亚方

中国林业科学研究院木材工业研究所北京 100091

收稿日期:2013-11-21 修回日期:2014-08-31 出版日期:2014-10-25 发布日期:2014-11-12
通讯作者: 殷亚方
基金资助:
"十一五"国家科技支撑计划课题(2006BAD18B07)。

Evaluation of Bending Properties of Larch Dimension Lumber with Acousto-Ultrasonic Technique

Zhang Xunya, Jiang Xiaomei, Lü Bin, Yin Yafang

Research Institute of Wood Industry, CAF Beijing 100091

Received:2013-11-21 Revised:2014-08-31 Online:2014-10-25 Published:2014-11-12

摘要/Abstract

摘要：

测量落叶松规格材的波速、峰值电压、时间形心和频率形心等声-超声参数,以及气干密度、抗弯弹性模量和抗弯强度等物理力学性质, 研究声-超声参数、气干密度、动态弹性模量等与抗弯性质之间的相关性。为了探索利用声-超声技术预测落叶松抗弯性质的可行性,分别以动态弹性模量和声-超声参数及气干密度为自变量,建立预测其规格材抗弯性质的回归模型。结果表明: 所有的声-超声参数、气干密度与抗弯弹性模量均在0.01水平显著相关,峰值电压、频率形心、气干密度与抗弯强度在0.01水平显著相关。利用气干密度、峰值电压和波速3个参数为自变量建立的抗弯弹性模量和抗弯强度的预测模型的相关性(决定系数r²分别为0.83和0.66)与传统的超声波方法(以动态弹性模量为自变量建立的抗弯弹性模量和抗弯强度预测模型,r²分别为0.80和0.34)相比,模型的预测能力显著提高。利用声-超声技术能够较好地预测落叶松规格材的抗弯力学性质,特别是抗弯强度。

关键词: 落叶松, 声-超声参数, 气干密度, 动态弹性模量, 抗弯弹性模量, 抗弯强度

Abstract:

Acousto-ultrasonic(AU)technology was used to evaluate bending properties of air-dried dimension lumber of Chinese larch(Larix gmelinii). Some AU parameters including wave velocity, peak voltage, time -centroid and frequency-centroid were measured. The air-dried density and bending properties of static modulus of elasticity(MOE)and modulus of rupture(MOR)were also measured. The relationships between AU parameters and density and MOE, MOR were analyzed and the prediction regression equations of bending properties based on AU parameters and air-dried density were built. The results showed that the relationships between all the AU parameters and air-dried density and MOE, as well as the relationships between peak voltage, frequency-centroid and air-dried density and MOR were significant at 0.01 level. Better regression results for MOE and MOR prediction can be achieved with air-dried density, peak voltage and wave velocity as independent variables with r²=0.83 and r²=0.66 respectively, compared with traditional ultrasonic technique with dynamic modulus of elasticity(DMOE)as independent variable with r²=0.80 and r²=0.34 respectively. The study indicated that acousto-ultrasonic technology can be used to predict the bending mechanical properties of larch dimension lumber better than ultrasonic wave technology especially modulus of rupture.

Key words: Chinese larch(Larix gmelinii), acousto-ultrasonic(AU) parameters, air-dried density, dynamic modulus of elasticity, bending modulus of elasticity, bending modulus of rupture

中图分类号:

S781

张训亚, 姜笑梅, 吕斌, 殷亚方. 声-超声技术评价兴安落叶松规格材的抗弯性质[J]. 林业科学, 2014, 50(10): 94-98.

Zhang Xunya, Jiang Xiaomei, Lü Bin, Yin Yafang. Evaluation of Bending Properties of Larch Dimension Lumber with Acousto-Ultrasonic Technique[J]. Scientia Silvae Sinicae, 2014, 50(10): 94-98.

参考文献

艾春安,刘瑜,蔡堃. 2009. 固体火箭发动机壳体/绝热层界面缺陷的声-超声检测.固体火箭技术,32(1):114-118.
(Ai C A, Liu Y, Cai K. 2009. Acousto-ultrasonic detection for interface defect between case and insulation of SRM. Journal of Solid Rocket Technology,32(1):114-118. [in Chinese] )
车飞,彭伟. 2007. 薄板声-超声检测信号的时频分析研究.南昌航空大学学报,21(3): 36-40.
(Che F, Peng W. 2007. Study on time-frequency analysis for acousto-ultrasonic testing signal in thin plates. Journal of Nanchang Hang Kong University: Natural Science,21(3): 36-40. [in Chinese] )
邓明晰.2005. 复合结构界面粘接强度的声-超声评价研究.应用声学,24(5): 292-299.
(Deng M X. 2005. Nondestructive evaluation of adhesive strength of composite structures using an acousto-ultrasonic approach. Applied Acoustics,24(5): 292-299. [in Chinese] )
嵇伟兵,马灵飞. 2006. 利用超声波检测杉木抗弯弹性模量.浙江林业科技,26(3): 21-24.
(Ji W B, Ma L F. 2006. Study on modulus of elasticity in static bending of Cunninghamia lanceolata by ultrasonic. Journal of Zhejiang Forestry Science and Technology,26(3): 21-24. [in Chinese] )
林兰英,傅峰. 2007. 三种无损检测方法预测四种桉树木材弹性模量的对比研究.木材加工机械,(3):24-29.
(Lin L Y, Fu F. 2007. Comparative study of MOE on three methods of nondestructive test forecasting four kinds of lumber. Wood Processing Machinery,(3):24-29. [in Chinese] )
宁志威,孙良新.2001. 声-超声技术在碳-碳复合材料薄板损伤检测中的应用. 振动、测试与诊断,21(1): 15-20.
(Ning Z W, Sun L X. 2001. Application of acousto-ultrasonic technique to damage detection of carbon-carbon composite thin plate. Journal of Vibration,Measurement & Diagnosis,21(1): 15-20. [in Chinese] )
张训亚,殷亚方,姜笑梅. 2010a.两种无损检测方法评估人工林杉木抗弯性质. 建筑材料学报,13(6): 836-840.
(Zhang X Y, Yin Y F, Jiang X M. 2010a. Evaluation of bending properties of Chinese fir plantation by two nondestructive testing methods. Journal of Building Materials,13(6): 836-840. [in Chinese] )
张训亚,殷亚方,罗彬. 2010b. 超声波预测落叶松规格材的抗弯性能. 木材工业,24(3): 1-3.
(Zhang X Y, Yin Y F, Luo B. 2010b. Predicting bending performance of larch dimensional lumber by an ultrasonic technique. China Wood Industry,24(3): 1-3. [in Chinese] )
Ilic J. 2001. Relationship among the dynamic and dtatic elastic properties of air-dry Eucalyptus delegatensis R. Baker. European Journal of Wood and Wood Products, 59(3): 169-175.
Kawamoto S, Kiguchi M, Kataoka Y, et al. 2010. Propagation of acoustic emission and acousto-ultrasonic waves in wood materials. EWGAE 2010 Vienna, 8th to 10th September.
Kawamoto S, William S. 2002. Acoustic emission and acousto-ultrasonic techniques for wood and wood-based composites: a review. US Department of Agriculture, Forest Service, Forest Products Laboratory.
Liu Z Q, Huang R. 2000. Experimental analysis of acousto-ultrasonic wave propagation mode in thin plate.Chinese Journal of Acoustics, 19(3): 277-284.
Oliveira F G R, Campos J A O, Sales A. 2002. Ultrasonic measurements in Brazilian hardwood. Materials Reasearch, 5(1): 51-55.
Romer J. 2013. Predicting mechanical properties of southern pine lumber with nondestructive measurements. State University of New York, Master Thesis.
Saadat-Nia M, Brancheriau L, Gallet P, et al. 2011. Ultrasonic wave parameter changes during propagation through poplar and spruce reaction wood. BioResources, 6(2): 1172-1185.
Sandoz J, Benoit Y, Demay L. 2000. Wood testing using acousto-ultrasonic. Proceedings of the 12th International Symposium on Nondestructive Testing of Wood, Sopron, Hungary,97-104.

[1]	夏国威, 孙晓梅, 陈东升, 张守攻. 日本落叶松冠层光合特性的空间变化[J]. 林业科学, 2019, 55(6): 13-21.
[2]	吕振刚, 李文博, 黄选瑞, 张志东. 气候变化情景下河北省3个优势树种适宜分布区预测[J]. 林业科学, 2019, 55(3): 13-21.
[3]	Shahzad Muhammad, 韩斐斐, 姜立春. 不同抽样方法对兴安落叶松立木材积方程预测精度的影响[J]. 林业科学, 2018, 54(8): 99-105.
[4]	宋跃, 李淑娟, 张含国, 白晓明, 毕显禹, 董实伟, 董昊. 落叶松胚性愈伤组织悬浮培养体系的优化[J]. 林业科学, 2018, 54(7): 146-154.
[5]	马岩岩, 姜立春. 异速生长模型的误差结构和误差函数[J]. 林业科学, 2018, 54(2): 90-97.
[6]	王滋, 周贤武, 武国芳, 钟永, 任海青, 赵荣军. 国产落叶松平行弦轻型木桁架静力承载性能[J]. 林业科学, 2018, 54(2): 137-144.
[7]	姜礅, 薛羿, 徐智文, 王嘉冰, 孟昭军, 严善春. 喷施茉莉酸诱导长白落叶松抗性对舞毒蛾生长发育的影响[J]. 林业科学, 2018, 54(1): 162-167.
[8]	王立祥, 刘晓博, 任利利, 石娟, 骆有庆. 松树蜂入侵的混交林中针叶树种内生真菌多样性[J]. 林业科学, 2017, 53(9): 81-89.
[9]	王艳兵, 王彦辉, 熊伟, 姚依强, 张桐, 李振华. 六盘山半干旱区华北落叶松树干液流速率及主要影响因子的坡位差异[J]. 林业科学, 2017, 53(6): 10-20.
[10]	顾伟, 马玲, 孙虎, 王利东, 张子龙. 不同土壤环境下落叶松人工林昆虫群落结构及动态的差异[J]. 林业科学, 2017, 53(5): 97-106.
[11]	高慧淋, 董利虎, 李凤日. 基于混合效应的人工落叶松树冠轮廓模型[J]. 林业科学, 2017, 53(3): 84-93.
[12]	崔诗梦, 向玮. 间伐与气候对长白落叶松树轮宽度的影响[J]. 林业科学, 2017, 53(12): 1-11.
[13]	王滋, 王丽, 武国芳, 任海青, 赵荣军. 日本落叶松规格材齿板节点承载性能[J]. 林业科学, 2017, 53(11): 157-163.
[14]	马莉, 牟长城, 王彪, 张妍, 李娜. 排水造林对温带小兴安岭沼泽湿地碳源/汇的影响[J]. 林业科学, 2017, 53(10): 1-12.
[15]	高敏, 马香丽, 杨晋宇, 黄选瑞, 吴亚楠. 冀北山地华北落叶松人工林与白桦混交改造模式对土壤动物群落的影响[J]. 林业科学, 2017, 53(1): 70-81.

声-超声技术评价兴安落叶松规格材的抗弯性质

Evaluation of Bending Properties of Larch Dimension Lumber with Acousto-Ultrasonic Technique

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

作者中心

期刊获奖

引证指标

联系方式