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Online since: July 2011
Authors: Fang Qin, Le Le Zhang
Material model and parameter are shown in table 2, and Fig.4 shows the FEM model.
Table 2 Material model and parameters Material model Density/ g/cm³ Modulus/ GPa Poisson's ratio Linear Isotropic 2.71 69 0.3 Fig. 4 Local FEM model of train body Modal calculation and analysis.
In this condition, Von mises stress is 35.3MPa and the maximum displacement is 30.2mm, and the displacement is a bit large which shows the stiffness of sidewall performs to be a bit weak while the stress is acceptable and much lower than yield stress of material.
Acknowledgements Key Projects in the National Science & Technology Pillar Program during the 11th Five-Year Plan Period (009BAG12A07-C02) Hongguoyuan personnel training plan (151032522) References [1] Jing Zhao, RenXian, Li Jianliang Li; High-speed train through the tunnel flow field numerical simulation; Subgrade Engineering; Vol.142(2009),P54, In Chinese [2]Yuangui Mei, Zhaohui Zhou; Numerical Analysis of Transient Pressures inside High Speed Passenger Trains through Tunnels; Journal of the China Railway Society, Vol.27,2005, In Chinese [3] Rui Cao; Numerical Simulation of the Aerodynamic Behaviors of High Speed Train; Beijing Jiaotong University; 2010, In Chinese [4]Guangpeng Zhang, Bo Lei, Qiong Li; Influence of Maglev Train Sealing Characters on the Tunnel Cross-section Area; Journal of the China Railway Society, Vol.27,2005, In Chinese [5] Yuan Gao; Research on structure strength of EMU first-class carbody; Beijing Jiaotong University; 2007, In Chinese
Table 2 Material model and parameters Material model Density/ g/cm³ Modulus/ GPa Poisson's ratio Linear Isotropic 2.71 69 0.3 Fig. 4 Local FEM model of train body Modal calculation and analysis.
In this condition, Von mises stress is 35.3MPa and the maximum displacement is 30.2mm, and the displacement is a bit large which shows the stiffness of sidewall performs to be a bit weak while the stress is acceptable and much lower than yield stress of material.
Acknowledgements Key Projects in the National Science & Technology Pillar Program during the 11th Five-Year Plan Period (009BAG12A07-C02) Hongguoyuan personnel training plan (151032522) References [1] Jing Zhao, RenXian, Li Jianliang Li; High-speed train through the tunnel flow field numerical simulation; Subgrade Engineering; Vol.142(2009),P54, In Chinese [2]Yuangui Mei, Zhaohui Zhou; Numerical Analysis of Transient Pressures inside High Speed Passenger Trains through Tunnels; Journal of the China Railway Society, Vol.27,2005, In Chinese [3] Rui Cao; Numerical Simulation of the Aerodynamic Behaviors of High Speed Train; Beijing Jiaotong University; 2010, In Chinese [4]Guangpeng Zhang, Bo Lei, Qiong Li; Influence of Maglev Train Sealing Characters on the Tunnel Cross-section Area; Journal of the China Railway Society, Vol.27,2005, In Chinese [5] Yuan Gao; Research on structure strength of EMU first-class carbody; Beijing Jiaotong University; 2007, In Chinese
Online since: August 2013
Authors: Min Xi, Ju Hua Yang, Qing Lei Zhang
In addition to projects construction, flood prevention facilities management, flood warning and disaster commanding system, flood prevention planning material should all be implemented[7].
Acknowledgements This work was financially supported by the National Natural Science Foundation of China (No. 41101080), Shandong Natural Science Foundation (No.
And, thanks for the materials provided by local authorities of Shaanxi Province.
[2].Y.D.Guo,Y.He,W.Zheng and J.H.Pan: Wetland Science, Analysis of Hydrological Vulnerability Characteristics and Influence Factors of Zhalong Riparian Wetlands.
[6].S.Z.Zhao and F.Z.Zhang: Journal of Northwestern Institute of Architectural Engineering.
Acknowledgements This work was financially supported by the National Natural Science Foundation of China (No. 41101080), Shandong Natural Science Foundation (No.
And, thanks for the materials provided by local authorities of Shaanxi Province.
[2].Y.D.Guo,Y.He,W.Zheng and J.H.Pan: Wetland Science, Analysis of Hydrological Vulnerability Characteristics and Influence Factors of Zhalong Riparian Wetlands.
[6].S.Z.Zhao and F.Z.Zhang: Journal of Northwestern Institute of Architectural Engineering.
Online since: May 2012
Authors: Hao Wu, Guan Ling Song, Yuan Gao
Materials and methods
Plant Materials, and treatment
Hydrocharis dubia was collected from the region of Shandong province in China.
Plant Science Vol. 164(2003), p.645-655 [13] Sh.
Journal of Ethnophamacology Vol. 85(2003), p. 227-230 [14] S.
Plant Science Vol. 166(2004), p.459-466 [15] J.
Plant science Vol. 161(2001), p.613-619
Plant Science Vol. 164(2003), p.645-655 [13] Sh.
Journal of Ethnophamacology Vol. 85(2003), p. 227-230 [14] S.
Plant Science Vol. 166(2004), p.459-466 [15] J.
Plant science Vol. 161(2001), p.613-619
Online since: April 2021
Authors: Viacheslav D. Lezin, L.V. Radionova, German S. Batalov, Alexander A. Lunev
Modern metallurgical industry consists of many of supporting and main plants, which require constant material investments.
The issue of saving material resources, raw materials, etc., as well as reducing the expenditure coefficient of the metal, optimization and flexibility of production, is an important part for metallurgical companies in the conditions of economic instability in the industrial sector.
Introduction Issues related to saving material resources, raw materials, etc., as well as reducing the expenditure coefficient of metal, optimization and flexibility of production, are important components for large metallurgical companies.
Pachurin, Assessment of the stress - strain state of metal tubular billets made by step moulding by mathematical modeling, Modern problems of science and education, 2 (2013) 1-9
Tricarico, Effect of forming and calibration operations on the final shape of large diameter welded pipes, Journal of Materials Processing Technology 164-165 (2005) 1089 – 1098
The issue of saving material resources, raw materials, etc., as well as reducing the expenditure coefficient of the metal, optimization and flexibility of production, is an important part for metallurgical companies in the conditions of economic instability in the industrial sector.
Introduction Issues related to saving material resources, raw materials, etc., as well as reducing the expenditure coefficient of metal, optimization and flexibility of production, are important components for large metallurgical companies.
Pachurin, Assessment of the stress - strain state of metal tubular billets made by step moulding by mathematical modeling, Modern problems of science and education, 2 (2013) 1-9
Tricarico, Effect of forming and calibration operations on the final shape of large diameter welded pipes, Journal of Materials Processing Technology 164-165 (2005) 1089 – 1098
Online since: May 2011
Authors: Shi Cai Chen, Wei Ming Yan, Xiao Ming Tian, Jie Gao
Material Modeling
Concrete02 model for the concrete fiber and Steel02 model for steel in Opensees is used.
Acknowledgements This work was financially supported by the Natural Science Foundation (50908006) and Science Foundation Project of China Academy of Building Research.
PCI Journal, V. 40, No. 4, 1995: pp. 44–61
PCI JOURNAL, V. 40, No. 5, 1995, pp. 68-80
PCI Journal, V. 50, No. 2, 2005: pp.56-75
Acknowledgements This work was financially supported by the Natural Science Foundation (50908006) and Science Foundation Project of China Academy of Building Research.
PCI Journal, V. 40, No. 4, 1995: pp. 44–61
PCI JOURNAL, V. 40, No. 5, 1995, pp. 68-80
PCI Journal, V. 50, No. 2, 2005: pp.56-75
Online since: September 2019
Authors: Dmitry A. Gerashchenkov, M.A. Markov, A.M. Makarov, A.D. Bykova, A.N. Belyakov, Sergey E. Aleksandrov, Elena Yu. Gerashchenkova
Inorganic Materials: Applied Research. 7_2016_855-862
[7] D.A.
Inorganic Materials: Applied Research. 8_(2017)_1-9
Mikhailov, Hybrid Aluminum Composite Materials Based on Carbon Nanostructures, Materials Science. 21_2015_187-193 [11] Popovich, V.
International Journal of Bioprinting. 2_2016_187-193 [12] G.
Vasilyev, Optimization of the coating process by gas dynamic cold spray applied to aluminum powder, Problems of Materials Science 90_2017_116-123 [15] M.A.
Inorganic Materials: Applied Research. 8_(2017)_1-9
Mikhailov, Hybrid Aluminum Composite Materials Based on Carbon Nanostructures, Materials Science. 21_2015_187-193 [11] Popovich, V.
International Journal of Bioprinting. 2_2016_187-193 [12] G.
Vasilyev, Optimization of the coating process by gas dynamic cold spray applied to aluminum powder, Problems of Materials Science 90_2017_116-123 [15] M.A.
Online since: April 2014
Authors: Xue Feng, Li Min Zhao, Xu Jun Mi, Yan Feng Li, Hao Feng Xie, Xiang Qian Yin
Such materials have great potential applications in the field of smart structures.
However, the use of epoxy SMP as functional materials remains rather rare, only sporadic examples have been mentioned in the literature [15–18].
Experimental Materials and preparation.
This series of materials were marked as EP-X, where X represented the C12-14 alcohols content of epoxy resin.
Lendlein, Shape-memory polymers, Materials Today. 10(2007) 20-28
However, the use of epoxy SMP as functional materials remains rather rare, only sporadic examples have been mentioned in the literature [15–18].
Experimental Materials and preparation.
This series of materials were marked as EP-X, where X represented the C12-14 alcohols content of epoxy resin.
Lendlein, Shape-memory polymers, Materials Today. 10(2007) 20-28
Online since: September 2013
Authors: Godwin Norense Osarumwense Asemota
A Prediction Model of Future Electricity Pricing in Namibia
Godwin NorenseOsarumwense Asemota
Electrical and Electronics Engineering Department,
Faculty of Engineering, Kigali Institute of Science and Technology,
Kigali, Rwanda
asemotaegno@gmail.com, a.osarumwense@kist.ac.rw
Keywords: Development, error, generation capacity, imports, logistic equation, planning period, sigmoid plot
Abstract.
The yielded survey data were subsequently subjected to statistical analyses using the Statistical Package for Social Sciences (SPSS version 11.5) to develop a sigmoid plot for predicting the future electricity pricing model for Namibia employing first order differential equations.
Materials and Methods Extensive literature search, review, and designed questionnaire were used to obtain data for this study.
Pegels, Systems Analysis for Production Operations, First ed., Gordon and Breach Science Publishers, New York, 1976
Walker, Namibia: Abundant Exploration Opportunities-Country Supplement, The Mining Journal Ltd, London, (1997) 1-16
The yielded survey data were subsequently subjected to statistical analyses using the Statistical Package for Social Sciences (SPSS version 11.5) to develop a sigmoid plot for predicting the future electricity pricing model for Namibia employing first order differential equations.
Materials and Methods Extensive literature search, review, and designed questionnaire were used to obtain data for this study.
Pegels, Systems Analysis for Production Operations, First ed., Gordon and Breach Science Publishers, New York, 1976
Walker, Namibia: Abundant Exploration Opportunities-Country Supplement, The Mining Journal Ltd, London, (1997) 1-16
Online since: August 2013
Authors: Guang Fu Liu, Yu Lin Wang, Kai Zhao, Hai Juan Hu, Fang Qiu Chen
But the raw materials need to be strictly pretreated before separating and the cleaning of the membranes is also very troublesome.
Chinese Journal of Rare Metals ,5(2004)947-950
China Engineering Science, 9(2009)29-32
[8] Jinhui Li, Song Gao, Huabo Duan, Lili Liu, Recovery of valuable materials from waste liquid crystal display panel, J.
Chinese Journal of Rare Metals, (2003)101-103
Chinese Journal of Rare Metals ,5(2004)947-950
China Engineering Science, 9(2009)29-32
[8] Jinhui Li, Song Gao, Huabo Duan, Lili Liu, Recovery of valuable materials from waste liquid crystal display panel, J.
Chinese Journal of Rare Metals, (2003)101-103
Online since: January 2011
Authors: Qing Ju Tang
Numerical Simulation of Infrared Nondestructive Testing to Metal Sample with Subsurface Defects
TANG Qing Ju1, a
1School of Mechanical Engineering, Hei Longjiang Institute of Science and Technology, 150027, China
atangqingju@126.com
Key words: PT, FEM, Defect detection, Quantitative study
Abstract.
(1) where is the time-dependent temperature, is the desity and is the specfic heat and is the thermal conductivity of the tested material, respectively.
Table 1 lists the thermal parameters of the base material(C30Steel) and hole defects(Air).
Table 1 Thermal properties[6] Materials C30Steel 47 469 7830 Air 0.02064 1005.7 1.1774 NUMERICAL RESULTS Suface temperature distribution.
IEEE SENSORS JOURNAL, 2009, 9(7):832-833 [3] Akbar Darabi, Xavier Maldague.Neural network based defect detection and depth estimation in TNDE.
(1) where is the time-dependent temperature, is the desity and is the specfic heat and is the thermal conductivity of the tested material, respectively.
Table 1 lists the thermal parameters of the base material(C30Steel) and hole defects(Air).
Table 1 Thermal properties[6] Materials C30Steel 47 469 7830 Air 0.02064 1005.7 1.1774 NUMERICAL RESULTS Suface temperature distribution.
IEEE SENSORS JOURNAL, 2009, 9(7):832-833 [3] Akbar Darabi, Xavier Maldague.Neural network based defect detection and depth estimation in TNDE.