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Online since: July 2015
Authors: Agus Suprianto, Agus Subekti, Wiwit Suryanto, Wahyudi Wahyudi
Modeling of seismic wave propagation at Tiris Geothermal Area using 2D Spectral Element Method (SEM) Agus Suprianto1,2,a, Wahyudi2,b, Wiwit Suryanto2,c and Agus Subekti1,d 1Department of Physics, Faculty of Mathematics and Natural Sciences, Jember University, Jember, Indonesia 2Department of Physics, Faculty of Mathematics and Natural Sciences, Gadjah Mada University, Yogyakarta, Indonesia asuprianto.fisikaunej@gmail.com, bwahyudi_mipa@ugm.ac.id, cws@ugm.ac.id, dsubekti@unej.ac.id Keywords: Spectral-element method (SEM), Seismic wave propagation, Tiris geothermal area.
Table.1 Elastic properties of models used in wave propagation modeling Material Density, ρ (kg/m3) P-wave velocity, Vp (m/s) S-wave velocity, Vs (m/s) Overburden 1.9 2500 2000 Tuff 2.3 3000 2500 Basalt 3.0 5000 3000 Andecitic Magma 2.5 4500 2150 Result and Discussion Wave source is located at 12.5 km offset and 1km depth as the scenario of local earthquake phenomenon in geothermal reservoir.
University Science Books, Sausalito (2002)
Michea, High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster, Journal of Computation Physics, 229 (2010) 7692-7714
Liang, Toward real-time regional earthquake simulation II: Real-time Online earthquake Simulation (ROS) of Taiwan earthquakes, Journal of Asian Earth Sciences 87 (2014) 56-68
Online since: August 2017
Authors: Juana Coello, Valentín Miguel, María Carmen Manjabacas, Alberto Martínez-Martínez, Nuria Medina
For that, turning processes were carried out on two different materials since their physical and mechanical properties have a relevant influence on the chip formation.
High-speed video cameras are frequently used in certain science and engineering fields [6-9].
Test strategy design The different tests were defined for two materials that presented very distinct physical and mechanical properties.
The selected materials were an EN AW-2014 aluminium alloy and EN F-1110 low carbon steel.
International Journal of Heat and Mass Transfer, 93, 839-852
Online since: February 2014
Authors: Jian Luo
(2) In the formula, is the density of the material, is the temperature, is the specific heat capacity, is the time.
IEEE Journal of Lightwave Teehnology, 2011,24(9): 3303-3310
Journal of refrigeration, 2012, 25 (3): 22-32
Journal of software, 2010, 10 (1): 1096-1102
Xi'an: Xi'an Electronic and Science University, 2010: 56-60.
Online since: May 2012
Authors: Zhe Jiang, Hai Jun Kou
The material characteristics of the ribs is the same as the case.
References [1] Jun Zhang, Wenzhong Zhao: Journal of DaLian Railway Institute Vol. 26 (2005), p. 12-15.
Vibration eJ Acoustics Vol. 114 (1992), p. 178-186 [3] Yuanguo Qing, Zhe Jiang: Journal of Vibration and Shock Vol. 28 (2009), p. 109-112.
Am Vol. 98 (1995), p. 1570-1580 [7] Zhe Jiang: Journal of Jiangsu University of Science and Technolgy Vol. 26 (2005), p. 537-541.
Online since: February 2014
Authors: Ze Sheng Zhu, Ling Sun
Optimal Sampling Schemes for Monitoring Large-area Crop Rotation Ling Sun1, a, Zesheng Zhu2, b 1 JiangSu Academy of Agricultural Sciences, Nanjing, 210014, China 2 Naval Command College, Nanjing, 210016, China aemail: lingsun60@gmail.com, bemail: zesheng.zhu@gmail.com Keywords: Optimal sampling; Monitoring Large-area crop rotation; Integer programming Abstract.
Material and Methods This study was undertaken in Xinghua City, Jiangsu Province, China during 2001-2002.
Journal of Applied Ecology, 2011, 48(3): 768-776
Journal of the American Statistical Association, 1990, 85, 1050–1059
Journal of Anhui Agricultural University, 2009, 36(1): 160-162.
Online since: March 2010
Authors: Bin Liu, Man Hua Peng, Yan Hong Feng, Fu Zhen Wang
The Materials for Fused Deposition Modeling The types and properties of materials directly affect the applicability of the fused deposition modeling process[4,5,8].
The general materials for FDM include paraffin, nylon, ABS, rubber and multi-phase mixtures such as the mixtures of metal powder, ceramic powder, staple fiber and thermoplastic resin, etc.
All the materials have been in melted state.
[8] Yongnian Yan, Shengjie Li, Renji Zhang, etc: Tsinghua Science & Technology, Vol. 14 (2009), pp. 1-12
[9] Dongsheng Yan, Zhiqing Cao and Gairong Kong: Journal of Beijing University of Chemical Technology, Vol. 30 (2003), pp. 71-73.
Online since: January 2011
Authors: Xing Xu, Yun Zhao, Yong He
Classification of Automobile Lubricant by Near-Infrared Spectroscopy Combined with Machine Classification Yun Zhao1,2,a, Xing Xu3,b, Yong He1,c,* 1College of Biosystems Engineering & Food Science, Zhejiang University, Hangzhou, China 2School of Information and Electronic Engineering, Zhejiang University of Science & Technology, Hangzhou, China 3School of Mechanical & Automotive Engineering, Zhejiang University of Science & Technology, Hangzhou, China azy_super0201@163.com, bxuxing3220@163.com, cyhe@zju.edu.cn *Corresponding author Keywords: near-infrared spectroscopy, automobile lubricant, partial least square, least squares-support vector machine, Gaussian processes classification Abstract.
Materials Sample Preparation and Spectral Measurement.
Acknowledgment This study was supported by the National Science and Technology Support Program of China (Project No. 2006BAD10A0711), Natural Science Foundation of Zhejiang Province, China (Project No.Y107379) and Natural Science Foundation of Zhejiang Province, China (Project No.Y6090718).
[2] Paradkar M M, Sivakesava S, Irudayaraj J: Rapid Determination of Swiss Cheese Composition by Fourier Transform Infrared/Attenuated Total Reflectance Spectroscopy, Journal of the science of food and agriculture, Vol. 82 (2002) p.497-504
[4] Liu Xian, Han Lu-Jia, Yang Zeng-Ling, Li Qiong-Fei: NIRS Method for Determination of Meat and Bone Meal Content in Ruminant Concentrates, Chinese Journal of Analytical Chemistry, Vol. 35 (2007) p.1285-1289
Online since: March 2010
Authors: Sha Sha Dang, Tao Lu, Kui Sheng Wang, Shi Xiong Ren
Introduction Figure 1 Sketch of an extruder Extruders are extensively used in the pelletizing of plastics, as well as other materials that are highly viscous in the fluid state.
Table 1 lists the properties of the materials used.
Tadmor: Polymer Engineering and Science Vol. 15 (1975), p. 515
Chen: Polymer Engineering and Science Vol. 32 (1992), p. 724
Koscher: International Journal of Heat and Mass Transfer Vol. 48 (2005), p. 5417.
Online since: October 2015
Authors: Zuzana Hutyrová, Andrej Czán, Miroslav Kormoš, Jozef Zajac, Ján Duplák, Bożena Kaczmarska
Panda et al., Accompanying phenomena in the cutting zone machinability during turning of stainless steels, International Journal of Machining and Machinability of Materials 5/4 (2009) 383-400
Black, R.A.Kohser, Degarmo's Materials & Processes In Manufacturing, Wiley India Private, 2007
Davis, Materials: ASM Specialty Handbook, ASM International, Ohio, 1998
Cep et al, Surface roughness after machining and influence of feed rate on process, Key Engineering Materials 581 (2014) 341-347
Valíček, Prediction of distribution relationship of titanium surface topography created by abrasive waterjet, International Journal of Surface Science and Engineering 5/2 (2011) 152–168
Online since: May 2005
Authors: Paul van Houtte, Albert Van Bael, S. He, Christophe Henrard, Anne Marie Habraken, Alexander Szekeres, Joost R. Duflou
This difference is probably due to the simplified FE model in which only part of the geometry is considered and the applied boundary condition does not represent the real interaction from neighboring materials.
For the bottom area, in the full model, constrained by the other parts of the materials that are not modeled in the partial model, the material at the central region is less easy to move down as the tool moves deeper from one contour to the next.
Acknowledgements The authors would like to acknowledge financial support from the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT).
Iseki, Journal of Materials Processing Technology 111 (2001), p.150 [4] J.J.
Kim, Journal of Materials Processing Technology 140 (2003), p.447 [5] J.