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Experimental section The tests were carried out in the adiabatic test equipment of Scientific Research Laboratory of building constructions and materials "Politekh-SKiM-Test".
Sievert, Use of alternative raw materials for cement clinker production, Cement International. 1 (2006) 54-63
Makarova, The analysis of fire-resistant composites, Contemporary Engineering Science. 8 (2015) 667-671
Research, nanosystems and resource-saving technologies in the construction materials industry, Belgorod. (2010) 102-106
Modern technologies in the industry of building materials and construction industry, Belgorod. (2005) 96-98

Identification of environmental risks of enterprises processing and utilizing the imported scrap metals The enterprises processing and utilizing imported scrap metals face environmental risks mainly in the storage of raw materials and products, their transportation, processing and utilizing as well as pollution treatment.
The rainwater may corrode the surface of metals, producing metal ion and further polluting surface runoff when the metals are exposed to rain. 2) The plastic fragments left after disassembly are inflammable materials with poor thermostability.
Raw material hazard index is used to describe the environmental hazard that may arise from the raw materials of imported metal and electrical appliance scraps, scrap wires, cables and motors, the assessment of which will be made mainly based on the rate of dangerous wastes contained in the raw materials and the proportion of unrecyclable wastes.
The environmental pollution caused by the enterprises processing and utilizing scrap metals mainly include the sewage coming from the water-separated copper wire crusher, the dust from loading and unloading as well as processing and utilizing of raw materials, waste gas from pyrogenic decomposition and gas cutting and the unrecyclable and dangerous wastes contained therein.
[5] H.LIN, X.G.DING, Identification of major source of dangerous chemicals and construction of index system for risk assessment, Chemical Engineering & Equipment, 4(2010) 167-169.

Liu1,2,d 1College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao, 266061, P.R.
China 2Shandong Provincial Key Laboratory of Polymer Material Advanced Manufacturing Technology, Qingdao University of Science & Technology, Qingdao, 266061, P.R.
China 4School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, P.R.
The digital signals receive a multiple-step processing by which the digital levels are converted to measured variables described in the following section in engineering units.
Duan, Development of a two-dimensional force model and data analysis for the tire uniformity testing machine, Advanced Materials Research. 221 (2011) 343-349.

It is believed that events occurring at the bone-implant interfaces are influenced by the following material-related factors: implant surface composition, surface energy, surface roughness, and surface topography [4].
Materials and Methods Implant Design.
A key reason for the enhanced osseointegration and osseoconductivity is most likely to be rooted in the surface chemistry of the fluorinated titanium oxide nanotubes, eg, F-TiO2, TiOF2, and F-Ti-O, which exhibit strong chemical reactivity.
Pilliar, in: Bone engineering, EM Spuared Incorporated, Toronto (2000)
Spencer, in: Bone Engineering, edited by J.E.

Substructural Damage Identification of Stone Arch Bridge Based on Probabilistic Neural Network Guo Fengqi1, a, Yu Zhiwu1, b 1School of Civil Engineering, Central South University, Changsha, Hunan, 410075, China ahngfq@126.com, bzhiwuyu@csu.edu.cn Keywords: Stone arch bridge; Probabilistic neural network; Substructure; Damage identification Abstract.
If the parts with similar materials, consistent function and dynamic characteristics of system are divided into sub-structures, damage identification should be firstly used to judge which structural damage occour in, and then the other neural network methods, respectively, are used for damage location and damage degree identification of the substructure.
The required data for combination parameters are easily obtained from the measurement of actual engineering structures.
The measured accuracy is more high, which will contribute to the method for practical damage identification of engineering structures
References [1] YUAN Xudong, ZHOU Jing, HUANG Mei: Journal of Harbin Institute of Technology Vol. 37 (2005), p. 488-490(In Chinese) [2] Li Zhongxian,Yang Xiaoming: Earthquake Engineering and Engineering Vibration Vol. 23 (2003), p. 92-99(In Chinese)

They are the typical combinatorial optimization problems with the characteristic of strong constraint in engineering practice.
Dini: Proceedings of the 2nd CIRP Intelligent Computation in Manufacturing Engineering, (2000), p. 227 [6] J.
Dash, in: IEEE International Conference on Automation Science and Engineering, Arlington, USA (2008), 894
Yu: Applied Mechanics and Materials Vol. 16-19 (2009), p. 130 [14] T.
Zhang: Journal of Mechanical Engineering Vol. 46 (2010), p. 149

Mechanism Research of Bus Dynamic Information Impact on the Commuter Travel Behavior LIU Er-Hui1,a, TIAN Sheng2,b*, CHEN Qian3,c 1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 2*School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 3School of Transportation, Southeast University, Nanjing, China alehscut@qq.com, bshitian1@scut.edu.cn, cseu_chq@163.com Keywords: Intelligent Transportation, Dynamic Bus Information, Binary Logit Model, Commuter, Travel Route Selection Abstract.
Applied Mechanics and Materials, 2013, 368: 1876-1880
Journal of Wuhan University of Technology(Transportation Science & Engineering), 2010, 34(4): 738-741
Journal of Wuhan University of Technology(Transportation Science & Engineering), 2012, 36(3): 034
Journal of Jilin University(Engineering and Technology Edition), 2013 ,43(2): 304-309

The rib adopted the same material and thickness with the tube and its width was 20mm.
According to the Chinese National standard, Metallic materials-tensile testing at ambient temperature (GB/T 228-2002), mechanical properties of the steel plate and reinforcement bars were tested.
The material properties are collected in Table 2.
In the study, the key factor for reinforcement stiffeners is embedment depth.
Chen: Research on Static Behaviors of New Type Concrete-filled Thin-walled Steel Tubular Columns”, Dissertation for the Doctoral Degree in Engineering (2006), Harbin Institute of Technology.

China, 215007 2School of Environment Science and Engineer, Suzhou University of Sciences and Technology, Suzhou, Jiangsu, P.
In the same way, the hard resin workshop, raw materials, etc in the original Suzhou resin places were attributed to organic toluene, dimethylbenzene pollution sections.
This pollution is mainly located at two sections of the original sesin and material workshops, and the largest pollution depth is up to -6m.
Chinese Journal of Environmental Engineering (in Chinese), 2011, Vol.5, No.7: 1441-1453
Hazardous Waster & Hazardous Materials, 1990, 7(2):117~149

Vibration Analysis Based Feature Extraction for Bearing Fault Detection Jie Liu1, a, Chunsheng Yang2,b, Qingfeng Lou1,c 1Dept. of Mechanical & Aerospace Engineering, Carleton University, Ottawa, Canada K1S 5B6 2National Research Council of Canada, Ottawa, Canada K1A 0R6 ajliu@mae.carleton.ca, bchunsheng.yang@nrc.gc.ca, cqlou@connect.carleton.ca Keywords: bearing; fault detection; signal processing; feature extraction; health condition monitoring; vibration.
An effective acoustic-based bearing health monitoring is acoustic emission, which is a phenomenon of transient elastic wave generation due to a rapid release of strain energy caused by a structural alteration in a solid material under mechanical and/or thermal stresses.
The method has found sound applications in a wide range of science, medical, and engineering fields, including physiology, geophysics, finance, cardiac dynamics, bioinformatics, ecology, and many more [18], but none in machine fault detection.
Nakagawa, “Fault diagnosis system for hydraulic turbine generator,” Transactions of the Institute of Electrical Engineers of Japan, Part B, vol. 122, pp. 492-497, 2002
Lee, “A comparative study on damage detection in speed-up and coast-down process of grinding spindle-typed rotor-bearing system,” Journal of Materials Processing Technology, vol. 187, pp. 30-36, 2007