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Z X Y Fig.1 Size of double bottom structure Governing equations In the simulation there are four materials such as air, water, explosive and steel, they equations of state and material model are showed below.
D and p are material constants by experiment.
The material of structures is steel.
Ship Science and Technology. 29(1) (2007) 91-94
Journal of Harbin Engineering University. 29(4) 2008. 326-331

The material for development of the sector chosen was austenitic stainless steel type 304L even though the material of construction of the inner vessel in the reactor is SS316LN, because of its tensile & forming behaviour being similar to that of SS316 LN.
The modelling details, friction factor, surface to surface contact details, size of mesh, material properties were used same as given in the published work carried out by Utpal Bohra et al. [7].
Material is assumed an isotropic and its properties are taken from RCC-MR 2012, Appendix A3.4S [9].
[4] www.autoform.com [5] https://nationalvetcontent.edu.au [6] Nader Asnafi, “ Springback and fracture in v-die air bending of thick stainless steel sheets“ , Materials and Design, 21 (2000), 217-236 [7] Utpal Borah, Shreedhar Venugopal, R.
Venugopal, Baldev Raj, “Estimation of springback in double-curvature forming of plates: Experimental evaluation and process modelling” International Journal of Mechanical Sciences 50 (2008) 704–718

Addemirc Istanbul Technical University, Department of Metallurgical and Materials Engineering, 34469, Maslak, Istanbul, Turkey a ertugb@itu.edu.tr, bboyraz@itu.edu.tr, caddemir@itu.edu.tr Keywords: Hexagonal boron nitride, hot-pressing, fracture toughness, fracture characteristics Abstract.
The strength tests were carried out on Instron universal materials testing machine.
Rangel: Brazilian Journal of Physics Vol. 32 (2002), p. 372-375 [4] M.
Kübler: Ceramic Engineering and Science Proceedings Vol. 18 (1997), p. 155-162 [7] I.
Liu: Diamond and Related Materials Vol. 9 (2000), p. 1734-1738

The resistance of concrete with cement replaced by zeolite to crack propagation was studied with respect to the life cycle of these materials [3].
Material, test specimens, and fracture tests Test specimens with nominal dimensions of 40 × 40 × 160 mm of fine-grained concrete, whose composition was based on the standard EN 196-1 Determination of cement strengths, were manufactured to determine the values of mechanical fracture parameters.
Table 5 also lists the relative values of the parameters compared to the reference material, with 100 % taken as the value of the parameter obtained for Ref.
Acknowledgement This outcome has been achieved with the financial support of the Czech Science Foundation, Project No.
Advanced Materials Research Journal, (2014).

Development of an Equipment Failure Identification Expert System with Multiple Reasoning Approaches Yeong-Ho Ho1,a, Huei-Sen Wang2,b, Hei-Chia Wang3,c 1Department of Leisure and Information Management, Taiwan Shoufu University 2Department of Materials Science and Engineering, I-Shou University 3Institute of Information Management, National Cheng Kung University ahyh@tsu.edu.tw, bhuei@mail.isu.edu.tw, chcwang@mail.ncku.edu.tw Keywords: Equipment Failure Analysis Expert System, RBR, CBR, Knowledge acquisition, inference Abstract.
This reminder of this paper is organized from the viewpoint of knowledge engineer (materials scientists with essential AI knowledge) and described as two sections.
Table 2 List of factors and some examples of attribute value used for failure identification. 1st level factors 2nd level factors Attribute values Totals Materials Ferrous Un-ferrous e.g.
Thermal stress, Repeated stress 4 Mechanical properties Analysis Strength Hardness Ductility Toughness Quantitative Express Figure2 RBR knowledge acquisition interface, here demonstrated how a rule is to be established from this For the CBR system, the knowledge is mainly acquired with document processing approach from various resources such as CSC technical reports, handbook (e.g. corrosion atlas), journal or failure cases from the other companies.
Steel Handbook，Material Research Society Taiwan (Taiwan，Hsinchu, 1998) p. 603.

Materials and Methods Quantities of 100kg of EAFD and 100kg of pig iron (hot metal at room temperature) were collected in industries in Espírito Santo state as follows: EAFD; ArcelorMittal/Cariacica and pig iron; Ucrânia Foundry located in the municipality of Serra.
In possession of raw materials, the next step was the chemical and physical characterization of the main raw materials through various characterization techniques.
Ullmann: Applied Clay Science Vol. 11 (1996), p. 237
Ruiz et al: Journal of Hazardous Material Vol. 141 (2007), p. 33

Thermal conductivities of materials used in combustion chamber design are shown in Table 2.
Thermal conductivities of materials used in the construction of combustion chamber Material thermal conductivity λ [W/(mK)] Steel pipe 40 Heater 50 Ceramics 27 Insulator 0.03 Conditions of numerical modeling Boundary conditions of CFD modeling Two cases of pulverized coal combustion inside the furnace were investigated.
References [1] Bryers R.W., Fireside slagging, fouling and high temperature corrosion of heat-transfer surface due to impurities in steam-raising fuels, Progress in Energy and Combustion Science 22 (1996) 29-120 [2] Zhang D., Ash fouling, deposition and slagging in ultra-supercritical coal power plants, Ultra-Supercritical Coal Power Plants, Materials, Technologies and Optimization, Woodhead Publishing Series in Energy2013, 133–183 [3] Tran K.
E., The Prediction of Laminarization with a Two-Equation Model of Turbulence, International Journal of Heat and Mass Transfer, vol. 15, (1972), pp. 301-314

Volume Meshing and Material Property Assignment.
Aimed to the biomaterial β-TCP, material property assignment for elastic mode is 46.267 MPa, and the poison ratio is 0.26 [5,6].
Considering the β-TCP is a brittle material, it would make the scaffold sensitive with the strain increased, so the 36%~41% interval is abandoned.
Acknowledgement This work was supported by the National Natural Science Foundation of China (50905123 and 50905124) References [1] A.A.
Yan: Journal of functional materials contents Vol. 35 (2004), p. 2391 [7] J.K.

Research on Diagenetic Facies Based on Diagenetic Effect in the Low Permeability Sandstone Reservoir—A Case from C81 Reservoir in Huanjiang Region, Ordos Basin Chun Wang1,a, Zhiguo Jin2, Chengzhi Liu1 1 Faculty of Earth Sciences, Northeast Petroleum University, Daqing 163318, China 2 School of Energy Resources ,China University of Geosciences (Beijing), Beijing 100083，China awangchun0322@sina.com Keywords: Diagenetic facies, Diagenetic effects, Low permeability sandstone reservoirs, Ordos Basin Abstract.
The diagenetic effects on reservoir properties maybe come from all kinds of diagenesis processes, but it is mainly characterized by pore and interstitial material.
The characteristics of interstitial material.
Huanjiang Region C81 reservoir is mainly composed of dark-gray, gray and gray-white lithic feldspathic sandstone with low compositional maturity, the quartz content is 29.72~34.75%, feldspar content is 26.08~32.74%, detritus content is 19.94~27.57%.The average content of interstitial material reservoir is 13.44%, ferroan calcite is 3.66% and the hydromica content is 3.67%, they are the two main interstitial materials, followed by chlorite coating, siliceous, kaolinite and other interstitial material (Figure 1).
Journal of petroleum exploration and development, Vol.35 (2008), p. 526-540.

The involved probability distribution patterns included normal distribution, lognormal distribution, weibull distribution and gamma distribution, which are suitable for FRP composite materials [13,14].
Lai, Effects of elevated water temperatures on interfacial delaminations, failure modes and shear strength in externally-bonded CFRP-concrete beams using infrared thermography, gray-scale images and direct shear test, Construction and Building Materials, 23 (2009) 3152-3160
Al-Sa’di, Effect of sulfates on bond behavior between carbon fiber reinforced polymer sheets and concrete, Materials and Design, 43 (2013) 237-248
[13] Yibin Wu, Guofang Jin, Probability distribution of mechanical property of fiber reinforced polymer, Journal of Central South University (Science and Technology), 42 (2011) 3851-3857
[15] G.F Zhao, J.Y Cao, K.Q Zhang, Reliability of Engineering Structure, Science Press, Beijing, China, 2011.