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Computational Materials Science, 2010, 50(2), 308-318
Journal of Materials Processing Tech., 2012, 212(11), 2520-2528
Materials Science & Engineering A, 2017, 302-312
Materials Science & Engineering A, 2014, 592 [23] X.
Computational Materials Science, 2009, 47, 568–576

To aim at optimization design of minimum cost, looking on reliability indexes calculated by optimization algorithm in 2.1part as constrained condition, mathematic model is founded, which object is cost of materials and building, as follows: (4) , .
An Optimum Algorithm for Structural Reliability Analysis[J]; Journal of South China University of Technology(National Science Edition).2003, 33(4):82-88. in Chinese
Journal of Anhui Institute of Architecture. 2002, 10(1): 6-9. in Chinese
Chinese Journal of Computational Mechanics. 2004, 21(6):665-670
Science Press. 2006. in Chinese

Microelectronics Journal.
Journal of Microelectromechanical Systems.
Key Engineering Materials.
Journal of Semiconductors.
IEEE Sensors Journal.

These nano-structured silicon materials show a remarkable enhancement on absorptance at near-infrared wavelength.
In these processes, silicon materials are doped with chalcogen, resulting in multiple impurity levels and finally broadening a new impurity band, which can break the limitation of optical band gap of silicon.
Then the comparison of morphologies, light absorptance, minority carrier lifetime with/without SiNx passivation have been investigated on two different nano-structured silicon materials.
Advanced Materials, 2009, 21(6): 661-664
Journal of micromechanics and microengineering, 2006, 16(4): 699

Advanced Materials Research.
Applied Mechanics and Materials.
Key Engineering Materials.
Czech Journal of Food Sciences.
Journal of Applied Polymer Science. 2014 in press [11] M.A. 

The model can be coupled to a Monte Carlo scheme in order to introduce the scattering of the fatigue behaviour of materials in the volume element distribution along the crack path, when a material scatter parameter is known.
Among the analyzed materials, the AA6005 and AA6351 alloys present second phase particles with rounded shape, maximum sizes of 3 and 5 µm, respectively, which are constituted by α-(Fe, Mn)SiAl phase.
Defense Science and Technology Organization (2010)
Materials Science and Engineering A 545(2012), 68-77
Journal of the Mechanical Behavior of Materials.14 (2003), 73-85

Carbon nanotubes (CNTs) are the ultimate reinforcing materials for the development of an entirely new class of composites.
In this paper, nano-structure having hexagonal representative volume element (RVE), theory of elasticity of anisotropic materials and finite element method (FEM) are used to investigate the effect of helical CNT morphology on effective mechanical properties of nanocomposites.
Introduction Carbon nanotubes, discovered first by Iijima in 1991 [1], possess extremely high stiffness, strength and resilience, and may provide the ultimate reinforcing materials for the development of nanocomposites.
Investigation the effects of carbon nanotube morphology of such nanoscale materials is one of the necessary and significant tasks for the development of nanocomposites.
Modulus predictions using effective nanotube properties, Composites Science and Technology, 63 (11) 1689-1703 (2003)

integrated steel plant generates solid wastes in each process of production starting from receiving of raw materials to storage yards till the finished products leaving the steel plant.
International conference on advances in manufacturing and materials engineering, ICAMME, 5, 2468–2477
Journal of Cleaner Production, 18, 161-173
Journal of Materials Research and Technology, 6, 3, 289-296
Science of Sintering, 42, 269-281.

[4] D.W, Schwach, Y.B., Guo, Materials Science and Engineering A Vol. 395(2005), p. 116-123
[12] D.W., Schwach, Y.B., Guo, 2005, Materials Science and Engineering A Vol. 395 (2005), p. 116-123
[15] A.R.C., Sharman, J.I., Hughes, K., Ridg-way, Journal of Materials Processing Technology Vol. 173(2006), p. 359-367
[16] C.H., CheHaron, Journal of Materials Processing Technology Vol. 118 (2001), p. 231-237
[18] S., Kannan, H.A., Kishawy, Journal of Materials Processing Technology Vol. 198 (2008), p. 399-406

Materials Science and Engineering, 1999, A263: 1~7
Materials Science and Engineering, 2001, A319~321(12): 751~755
Materials Transaction, 2001, 42(10): 2144~2147
International Materials Reviews, 2004, 49(1): 13~30
Materials Science and Engineering, 1991, A106: 10~113