基于数字散斑相关法的荻草胶合界面应变分布分析

doi:10.3969/j.issn.1000-2006.2015.02.024

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南京林业大学学报（自然科学版） ›› 2015, Vol. 58 ›› Issue (02): 137-142.doi: 10.3969/j.issn.1000-2006.2015.02.024

基于数字散斑相关法的荻草胶合界面应变分布分析

王新洲¹,廖承斌¹,邓玉和^1*,王向歌¹,杨莹¹,董葛平¹,范祥林^1,2,陈明及^1,3

1.南京林业大学材料科学与工程学院,江苏南京 210037;
2.Vietnam Forestry University, Hanoi 156204, Vietnam;
3. Vietnam Northeast Agricultural University, Lang Son 209999, Vietnam

出版日期:2015-03-31 发布日期:2015-03-31
基金资助:
收稿日期:2014-01-26 修回日期:2014-09-08
基金项目:江苏高校优势学科建设工程资助项目(PAPD); 江苏省普通高校研究生科研创新计划项目(CXLX13_527); 国家自然科学基金项目(30871973)
第一作者:王新洲,博士生。*通信作者:邓玉和,教授。E-mail:dengyuhe@hotmail.com。
引文格式:王新洲,廖承斌,邓玉和,等. 基于数字散斑相关法的荻草胶合界面应变分布分析[J]. 南京林业大学学报:自然科学版,2015,39(2):137-142.

The strain distribution analysis of silvergrass adhesives interface using digital speckle correlation method

WANG Xinzhou¹, LIAO Chengbin¹, DENG Yuhe^1*, WANG Xiangge¹, YANG Ying¹, DONG Geping¹, PHAM TUONG LAM^1,2, TRAN MINH TOI^1,3

1. College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China;
2. Vietnam Forestry University, Hanoi 156204, Vietnam;
3. Vietnam Northeast Agricultural University, Lang Son 209999, Vietnam

Online:2015-03-31 Published:2015-03-31

摘要/Abstract

摘要： 荻草(Miscanthus sacchariflorus)作为一种天然的生物质材料在复合材料的应用方面具有很大潜力。笔者采用数字散斑相关技术(DSCM),提取三聚氰胺改性脲醛树脂胶黏剂(MUF)、酚醛树脂胶黏剂(PF)、脲醛树脂胶黏剂(UF)与荻草形成的3种胶合界面在拉伸剪切过程中的位移场信息,分析不同变形阶段试件的应变分布,以揭示荻草胶合界面的破坏机制。结果表明:加载过程中荻草与胶黏剂的界面两端产生应变集中,应变沿拉伸方向向界面中心扩展,并在界面两端首先出现破坏现象; PF-荻草胶合界面应变集中现象最明显,而MUF-荻草胶合界面剪切应变分布均匀,具有最优的胶合强度。

Abstract: Silvergrass is a natural biomass and has great potential as reinforced material in composites. To investigate the interface failure mechanism of silvergrass composites, the displacement field information of the interfaces of melamine-urea-formaldehyde resin(MUF)-silvergrass, phenol-formaldehyde resin(PF)-silvergrass and urea-formaldehyde resin(UF)-silvergrass in the process of tensile shearing were abstracted with digital speckle correlation method(DSCM). Results indicated that strain concentration occurred in the two ends of interface and extended to interface center along the tensile direction. The interface fracture also occurred first in the two ends. The PF-silvergrass interface showed the most obvious strain concentration during the tensile process, while the MUF-silvergrass interface presented the highest bond strength with better strain distribution.

中图分类号:

S781

王新洲,廖承斌,邓玉和,等. 基于数字散斑相关法的荻草胶合界面应变分布分析[J]. 南京林业大学学报（自然科学版）, 2015, 58(02): 137-142.

WANG Xinzhou, LIAO Chengbin, DENG Yuhe, WANG Xiangge, YANG Ying, DONG Geping, PHAM TUONG LAM, TRAN MINH TOI. The strain distribution analysis of silvergrass adhesives interface using digital speckle correlation method[J].Journal of Nanjing Forestry University (Natural Science Edition), 2015, 58(02): 137-142.DOI: 10.3969/j.issn.1000-2006.2015.02.024.

参考文献

[1] 连海兰.生物质复合材料的表界面[M]. 北京:中国林业出版社,2012.
[2] Groom L H, Zink A G. Techniques in experimental mechanics applicable to forest products research[C]//Proceedings of the Experimental Mechanics Plenary Session at the Forest Products Research Society Annual Meeting, Portland, 1994.
[3] 徐曼琼,金观昌,鹿振友.数字散斑面内相关法测量木材抗压弹性模量[J].林业科学,2003,39(2):174-176.Xu M Q, Jin G C, Lu Z Y. Digital spackle correlation method(DSCM)for measurement of wood compression elastic modulus[J]. Scientia Silvae Sinicae, 2003, 39(2): 174-176.
[4] 江泽慧,费本华,张东升,等.数字散斑相关方法在木材科学中的应用及展望[J].中国工程科学,2003,5(11): 1-7.Jiang Z H, Fei B H, Zhang D S, et al.Application and prospect of the digital speckle correlation method on wood science [J]. Engineering Science, 2003, 5(11): 1-7.
[5] 孔艳玲,赵东,高继河.数字散斑相关方法在木材断裂力学上的应用分析[J].北京林业大学学报,2009,31(1):206-209.Kong Y L, Zhao D, Gao J H.Application of digital speckle correlation method in wood fracture mechanic [J]. Journal of Beijing Forestry University, 2009, 31(1): 206-209.
[6] Valla A, Konnerth J, Keunecke D, et al. Comparison of two optical methods for contactless, full field and highly sensitive in-plane deformation measurements using the example of plywood [J]. Wood Sci Technol, 2011,,45(4):755-765.
[7] 李霞镇,任海青,马少鹏.基于DSCM的竹材顺纹抗拉弹性模量测定[J].南京林业大学学报:自然科学版,2011,35(6):107-110.Li X Z, Ren H Q, Ma S P.Modulus of elasticity in tension parallel to grain of bamboo based on DSCM [J]. Journal of Nanjing Forestry University:Natrual Sciences Edition,2011, 35(6): 107-110.
[8] Konnerth J, Valla A, Gindl W, et al. Measurement of strain distribution in timber finger joints[J]. Wood Science and Technology, 2006, 40(8): 631-636.
[9] Jeong G Y, Zink-Sharp A, Hindman D P. Tensile properties of earlywood and latewood from loblolly pine(Pinus taeda)using digital image correlation[J]. Wood Fiber Sci, 2009, 41(1): 51-63.
[10] Serrano E, Enquist B. Contact-free measurement and non-linear finite element analyses of strain distribution along wood adhesive bonds [J]. Holzforschung, 2005, 59(6): 641-646.
[11] Liao C B, Deng Y H, Wang S Q, et al. Microstructure and mechanical properties of silvergrass fiber cell walls evaluated by nanoindentation [J]. Wood and Fiber Science, 2012, 44(1): 63-70.
[12] Liao C B, Deng Y H, Wang W, et al. Characteristic of silvergrass and feasibility of silica used as waterproof agent of silvergrass particleboard [J]. Wood and Fiber Science, 2013, 45(2): 178-186.
[13] 王宁生,邓玉和,廖承斌,等.荻草茎秆的硅含量及其对刨花板防水性能的影响[J].林产工业,2012,39(6):7-10.Wang N S, Deng Y H, Liao C B, et al.Study on silicon content in silvergrass stem and its effect on waterproofness of particleboard[J]. China Forestry Products Industry, 2012, 39(6): 7-10.
[14] 芮嘉白,金观昌,徐秉业.一种新的数字散班相关方法[J].力学学报,1994,26(5):599-607.Rui J B, Jin G C, Xu B Y. A new digital speckle correlation method and its application[J]. Acta Mechanica Sinica, 1994, 26(5): 599-607.
[15] Peter W H, Ranson W F. Digital imaging technique in experimental mechanics [J]. Opt Eng, 1982, 21(3): 427-431.
[16] Müller U, Sretenovic A, Vincenti A, et al. Direct measurement of strain distribution along a wood bond line. Part 1: Shear strain concentration in a lap joint specimen by means of electronic speckle pattern interferometry[J]. Holzforschung, 2005,59(3): 300-306.
[17] 刘鸿文.材料力学[M].4版.北京:高等教育出版社,2004:33-35.
[18] Gindl W, Müller U. Shear strain distribution in PRF and PUR bonded 3-plywood sheets by means of electronic laser speckle interferometry[J]. Wood Science and Technology, 2006, 40(5):351-357.
[19] 顾继友.胶黏剂与涂料[M].北京:中国林业出版社,1999.
[20] Wang L, Guan M J. Influence of veneers’ lathe checks on strain distribution at wood adhesive interphase measured by electronic speckle pattern interferometry(ESPI)[C]//55th SWST International Convention, Beijing, 2012.

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基于数字散斑相关法的荻草胶合界面应变分布分析

The strain distribution analysis of silvergrass adhesives interface using digital speckle correlation method

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