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Initiation and Propagation of Impact-Induced Damage in CFRP Laminates Seung-Min JANG1, a, Tadaharu ADACHI2,b and Akihiko YAMAJI 3,c 1 Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo, Japan a SJang2@fuchinobe.oilfield.slb.com, badachi@mech.titech.ac.jp, cyamaji@mech.titech.ac.jp Keywords: CFRP laminates, Impact-induced damage, Low-velocity Impact Abstract.
Sun: Journal of Composite Materials Vol. 27 (1993), p. 684 [5] W.J.
Thomas: Journal of Reinforced Plastics and Composites Vol. 12 (1993), p. 584 [7] S.M.
Yamaji: Key Engineering Materials Vols. 326-328 (2006), p. 1833

Secondly, the materials can come from industrial waste, which otherwise will be difficult to get recycled.
Two types of bricks (with same materials and different shape) were used.
Acknowledgements This work was financially supported by the Project in Science Research of Department of Education of Liaoning Province(L2013231); The scientific research foundation of Shenyang Jianzhu University (2013127) References [1] XU Chunyi, LIU Ming, ZHANG Jisong: Experinental Study on Shear Behavior of Autoclaved Fly Ash Brisk Masonry.
Journal of Shenyang Jianzhu University.
(in Chinese) [4] Bryan D Ewing and Mervyn J Kowalsky, Compressive Behavior of Unconfined and Confined Clay Brick Masonry, Journal of Structural Engineering, Forum Vol. 130 (2004), p. 650-661

Fig. 2 Soil-water characteristic curve of subcrust Table 1 Calculation condition of geomembrance defect Condition geomembrance defect Condition geomembrance defect position size(cm2) position size(cm2) C-2-1 0.5×0.5 C-3-3 2.0×2.0 C-2-2 1.0×1.0 C-3-4 5.0×5.0 C-2-3 2.0×2.0 C-4-1 0.5×0.5 C-2-4 5.0×5.0 C-4-2 1.0×1.0 C-3-1 0.5×0.5 C-4-3 2.0×2.0 C-3-2 1.0×1.0 C-4-4 5.0×5.0 Table 2 Seepage coefficient of overburden layers and dam materials overburden layers seepage coefficient(cm/s) dam materials seepage coefficient(cm/s) 1# 9.21×10-4 geomembrance 1.00×10-9 2# 5.89×10-5 sand gravel 2.00×10-2 3# 1.14×10-3 filter layer 2.00×10-3 4# 1.70×10-4 drainage 1.00×10-1 5# 4.72×10-5 cut-off wall 2.00×10-8 Seepage Analysis of Geomembrane Defect Leakage for an Earth-rock Dam Seepage field has the greatest change in condition C-4-4 for the largest geomembrane defect size and lowest position comparing with the condition C-1, the geomembrane of which has no defect.
Acknowledgements This work was supported by the Key Projects of National Natural Science Foundation of China (Grant NO. 40930635, 51179062).
Journal of Geotechnical and Geoenvironmental Engineering, Vol. 139(3) (2013) , pp. 357-366 [3] F.
Chen: Leakage flux calculation of impermeable layer of geomenbranes, Chinese Journal of Geotechnical Engineering, Vol. 17(2) (1995), pp. 93-99 [5] J.

Acknowledgements This work is supported by the National Natural Science Foundation of China (Grant No. 51105313).
Geng etal: Advanced Materials Research Vol. 655-657 (2013), p. 2299 [2] J.H.
Tian: Advanced Materials Research Vol. 97 (2010),p. 3299 [3] J.H.
Pai: International Journal Of Production Research Vol. 47(2009),p. 25 [6] H.
Blochinger:Future Generation Computer Systems-the International Journal Of Grid Computing Vol. 25 (2009), p. 638

Test Profile Test Material.This test used BJ30HJ basalt fiber cloth producted by Hai Ning Anjie composite limited company, the material properties shown in Table 1.
Other test material were: Deng Ta PO 32.5R ordinary portland cement, medium sand, gravel with the grain size of 30 mm.
China Civil Engineering Journal, 2005, 38(12): 32-37.
Journal of Building Structure, 2004, 25(3): 99-106.
Sichuan Building Science, 2006, 32(5): 45~49（In Chinese） [4] Yang Yongxin, Yue Qingrui.

Effect of Sn Content on Structure and Piezoelectric Properties of Pb(Zr0.35Ti0.65)1-xSnxO3 HASEEB Haroon1,a*, ZAHID Sarfraz1,b, MUHAMMAD Shuaib2,c, MUHAMMAD Saleem2,d, ABDUL Rauf 2,e, NASIR Abbas2,f, MUHAMMAD Luqman2,g 1Department of Applied Physics, Federal Urdu University of Arts, Science and Technology, Islamabad, Pakistan 2Institute of Industrial Control Systems, Rawalpindi, Pakistan a*haseebharoon52@gmail.com, bzsarfraz@yahoo.com crayyans@hotmail.com, dengineer_msaleem@hotmail.com, eArauf@gmail.com, fnasirabbas1214@gmail.com, gluqman_ashraf@hotmail.com Keywords: Piezoelectric, PZST ceramics, ferroelectric, Domains, Dielectric Properties Abstract.
Xu, Ferroelectric Materials and their Applications, Los Angeles: North-Holland, 1991
Wei, “Effect of Sn content on dielectric, piezoelectric and ferroelectric properties for Pb(Zr0.35Ti0.65)1-xSnxO3 ceramics near morphotropic phase boundary” Journal of Alloys and Compounds 627 (2015) 238–243
Wei, “Effect of Sn Content on Structure and Properties Near the Morphotropic Phase Boundary in a PbSnO3-PbZrO3-PbTiO3 Ternary System”, Journal of Electronic Materials, 43 (2014) 7.

Materials and experiments It is on the basis of a single four-high reversing 2800mm mill at the hot plate factory Handan Steel Corporation.
Acknowledgements This work is financially supported by the Hebei Natural Science Fund (E2009000791) and Hebei Untied University Cultivation Fund (LDPY004).
Journal of Plasticity Engineering, 2007, 14(2): 30~34 [7] O N Shigen, K Amitsurur.
Materials technology steel research, 1993(4): 210~217 [11] P A Manohar, D P Dunne, T Chandra, et al.
Journal of Plasticity Engineering ,2004,11(6): 75~79 [14] J.

Introduction Spinning evenness and breaking strength are two important quality indexes of the yarn, which is not only with the facters of structure style of the drafting accessories, mechanical operating conditions, configuration of specifications in process of spinning, operation and so on, but also affacted by raw materials and the quality of semi-manufactures in yarn processing.
SVM method is a feasible and effective methods, the SVM model provides a new way for prediction of yarn quality .Yarn quality control is a systematic project, raw performance and quality in both the semi roving yarn impact yarn quality.When there are particularly large difference in the thickness of the yarn the model must consider the yarn quality that raw materials performance impact on .
[5] Li X., Peng ZH Q., Jin F G., et al., Comparing prediction models for worsted yarn performances based on neutral networks, Journal of Textile Research, 2011,32 (3):51-56
[6] Deng N Y., Tian Y J., A novel method in data mining :Support vector machines, Beijing : Science Press , 2004:20-150
[7] Lin ZH G., Fang W., Huang W ZH., Analysis of fabric drape evaluation based on support vector machine ., Journal of Textile Research, 2009, 30(1):51-54

The used material was the same one with Test 1.
Similar relationship and similar material.
Acknowledgements The authors acknowledge the financial support of the National Natural Science Foundation of China (41002105) References [1] Z.Q.
Wang: Journal of North China Institute of Water Conservancy and Hydroelectric Power Vol. 32 (2011), p. 1 (In Chinese) [2] Y.
Guo: Chinese Journal of Geotechnical Engineering Vol. 29 (2007), p. 531 (In Chinese)

Fig. 1 r=27mm Fig. 2 r=37mm The definition of material properties.
At first, it must be defined coefficient of thermal conductivity of material in the process of steady-state thermal analysis.
The material of model is set as aluminum alloy in the article, and the specific parameters are shown in the table 1.
Table 1 The material parameters of inner pot specific heat [J/Kg·k] 880 thermal conductivity [W/(m·k)] 218 coefficient of thermal expansion [k-1] 2.38×10-5 Poisson’s ratio 0.33 modulus of elasticity [Mpa] 72000 The control of specified and meshing.
References [1] Xiaowei Lian: Journal of Modern Appliances (2011) [2] Yi Zhang: Heat Transfer Theory (Southeast University Press, Nanjing 2004) [3] Yuanwang Deng, Maoqiang Yuan and Changqin Liu: Heat Transfer Theory (China WaterPower Press, Beijing 2010) [4] Wangjiao Yuan and Yunxin Wu: Journal of Central South University (Science and Technology) (2010) [5] A.B.M.Saifullah and S.