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That is to say, the materials that are needed for production being nearer to the native, the better.
Sample Alternative is to use materials of high sustainability instead of those of low sustainability.
Materials commonly used in construction of general urban public facilities are no longer suitable for Yushu area.
The strong ultraviolet light in Yushu is more likely to shorten the life of materials like plastic.
Among the selected materials, the one that needs to be transported from outside is the lead and aluminum steel mesh.

Distribution Disciplines and Cause of Harmful Elements in Copper Tailing Sand Xuqing Liu 1,2,a ,Shibin Xia1,b ,Hao Yuan2,c ,Zhongli Cai3,D 1.School of Resources and Environment Engineering, Wuhan University of Technology, Wuhan, Hubei, 430073; 2.School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, 693 Xiongchu Avenue, Wuhan, 430073, China, 3.Hubei Environment Monitoring Central Station, Wuhan, 430072, China, alxqkyq1997@163.com,bxiashibin@126.com,c610140719@qq.com, d491058439@qq.com Key words: Skarn type copper mine; Tailing sand; Arsenic, zinc, cadmium and lead elements; FeAsS (arsenopyrite); Migration and distribution disciplines Abstract.
Technical parameters: Power,3kW; Reoccurrence of angular instrument: 0.0001°; Controlled minimum step-by-step: 0.0001°; Operating conditions: Target drone materials,Cu; Tube voltage: 40kV; Tube current: 40mA; Scanning scope: 2θ=0～90o; Step-by-step: 2θ=0.0170o; Step scanning period: 33.9150s Tailing Sand Eluviation Test.
Tab.6 Main minerals of tailing sand and relative content /% Mineral name Relative content Mineral name Relative content Chalcopyrite, bornite and chalcocite, etc 9 Quartz 18.8 Galena - Wollastonite 3.2 Blende 0.2 Chlorite and sericite, etc 2.3 Pyrite, pyrrhotite, marcasite, etc 11 Tremolite, actinolite and pyroxene 2.8 Electrum, molybdenite - Fluorite 0.5 Arsenopyrite 1 Gypsum 2.0 Cassiterite, etc 0.1 Garnet 5 Hematite, magnet and ore limonite, etc 8.5 Clay and carbon materials, etc 0.7 Dolomite and calcite 35 Others 0.9 Note: - Undetected Influence to Eluviation and Leaching Migration of Harmful Elements in Tailing Sand under Acidification Conditions.
[2] Li Xiangrong, Chen Yongxin and Ma Lifang, etc; Synchronous Measurement of Many Sundry Elements in Copper Materials by Inductive Coupling Plasma Atom Emission Spectrum Method [J].
Non-ferrous Metal Science and Engineering, 2012，3(2): 87—90 [6] Zhou Yuanxiang, Yue Shucang, Zhou Taofa; Migration Disciplines of Heavy Metal Elements in Anhui Tongling Yangshanchong Tailing Sand [J].

Prioritizing Factors Influencing Online Donation Intention Using the Fuzzy Analytic Hierarchy Process DUTHO Suh Utomo1,a, NARAPHORN Paoprasert2,b * and RAMIDAYU Yousuk3,c 1Department of Industrial Engineering, Universitas Mulawarman, Kampus Gunung Kelua Jl Sambaliung no.9, Samarinda ,Indonesia 2,3Department of Industrial Engineering, Kasetsart University, 50 Ngamwongwan Road, Lat Yao, Chatuchak, Bangkok 10900, Thailand adutho@ft.unmul.ac.id, bfengnpp@ku.ac.th, cramidayu.y@ku.th *corresponding author Keywords: Fuzzy AHP, Donation Intention, Prioritizing factors, Multi-criteria Decision Analysis.
Acknowledgment This study was funded by the Faculty of Engineering, Kasetsart University, Thailand.
Yousuk, Determinants of Donation Behaviour on Flood Disasters in Indonesia, IOP Conference Series: Materials Science and Engineering 847(1) (2020) 012068, doi: https://doi.org/10.1088/1757-899X/847/1/012068
Yogi, Evaluation of purchase intention of customers in two wheeler automobile segment: AHP and TOPSIS, IOP Conference Series: Materials Science and Engineering 330(1) (2018) 012065, doi: http://dx.doi.org/10.1088/1757-899X/330/1/012065
Ye, The Influencing Factors of Innovation and Entrepreneurship Intention of College Students Based on AHP, Mathematical Problems in Engineering (2022), doi: https://doi.org/10.1155/2022/7861631

Effects of sustained pre-load on residual strength and stiffness of concrete-filled steel tube after exposure to high temperatures Jing-Si Huo1,a, Guo-Wang Huang2,b and Yan Xiao3,c 1 Center for Integrated Protection Research of Engineering Structures, Key Laboratory of Building Safety and Energy Efficiency of China Ministry of Education, Hunan University, Changsha, China 2 Depart. of Civil Engineering, University of Southern California, Los Angeles, CA 90089-2531, USA a jingsihuo@gmail.com, bhuangguowang29@126.com, cyanxiao@usc.edu Keywords: Concrete-filled steel tube, pre-load, high temperature, residual strength, residual stiffness Abstract This paper experimentally investigated the effects of axial load level on the residual strength and stiffness of concrete-filled steel tubular (CFT) stub columns which were heated and cooled down to room temperature under sustained axial load.
L.Cheng: Advances in Structural Engineering-An International Journal, Vol.5 (2002), p. 123-134 [10] L.
Huo: Journal of Structural Engineering, ASCE Vol.129 (2003), p. 68-78 [12] L.
Wang: Journal of Structural Engineering, ASCE, Vol.133(2007), p. 800-814 [14] L.H.
K Lin: Journal of Structural Engineering, ASCE Vol.130 (2004), p. 1807-1819 [15] J.

The classical theories of strength developed at the early XX century for structurally heterogeneous materials (cast iron, hard rocks) are generally of little use for such materials as concrete.
A version of the Filonenko-Borodic failure criterion for structurally non-uniform materials.
In Bulletin of National technical university of Ukraine “Kiev polytechnic institute” for mechanical engineering series, Vol.63, 2011. p. 288-291.
Jornal Materials Civil Engineering, Vol.17(2), 2005. p. 219-218
Materials and Structures, Vol.42, 2009. p. 241-249

Graph-Based Process Planning for Rotational Part Machined with Tolerancing Kuo-Ming Chenga and Jhy-Cherng Tsaib * Department of Mechanical Engineering, National Chung-Hsing University, 250 Kou-Kuang Road, Taichung, Taiwan 40227 aguoming.jeng@msa.hinet.net, bjctsai@mail.nchu.edu.tw *corresponding author Keywords: tolerancing, process planning, graph, dimensional chain, tolerance stack-up.
Among them, the process engineer plays a pivot position as he/she conducts process plans to fabricate the product according to blueprint specification after the design engineer decides the specifications.
For example, a grinding process can be employed only if turning or milling is completed beforehand to remove most of the material.
References [1] Alting, L. and Zhang, H.: Computers and Industrial Engineering, 27(4), pp.553-585 (1989)
[6] Wade, O.R.: In: Tool and Manufacturing Engineers Handbook, Vol.1, Machining, SME (1983)

Numerical Study on the Heat Transfer Characteristics of Supercritical Water in Enhanced Sub-channels in Reactors Weishu Wang 1, 2,a, Hongsheng Zhang 1,b , Qincheng Bi 2,c and Jun Liu 1,d 1School of Electric Power, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou, 450011, China 2 State Key Laboratory of MultiPhase Flow in Power Engineering, Xi’an Jiaotong University, Shanxi, Xi’an, 710049, China awangweishu@ncwu.edu.cn, bxiyun302@163.com, ccqcbi@mail.xjtu.edu.cn, dljbaihe@163.com Keywords: Reactor, Supercritical fluid, Enhanced sub-channel, Surface heat transfer coefficient, Numerical calculation Abstract.
In the computational domain, the physical parameters of supercritical water provided by the Wagner and Kruse’s computer programs [10], the material parameters of Zirconium alloy provided from the literature [11].
Nuclear Power Engineering.Vol.27 (2006), p. 1 [2] Bishop, A.A.
Yang: Nuclear Engineering and Design.Vol.237 (2007), p.240 [13] Guo Z Y: Chinese Science Bulletin.
[17] Pioro I L, Khartabil H F: Nuclear Engineering.

Microstructures, Simulations and Solidification Behaviors of A356 Semisolid Aluminium Alloy Prepared by Stirring Integrated Transfer-Heat Technology under Different Cooling Mediums Qiu Zhiyana, Zhou Bingb*, Lu Shuaic, Chen Kepingd, *Xu Chune, Wang Zhanyongf 1School of Materials Science and Engineering, Shanghai Institute of Technology, China a196081111@mail.sit.edu.cn, b*zb521a@sina.com, clushuai211@126.com, d206082118@mail.sit.edu.cn, exuchun1963@163.com, fzhanyong@sina.com Keywords: A356 aluminum alloy; semi-solid; cooling; simulation; solidification behavior Abstract.
Mechanical agitation is the most traditional processing method of semi-solid metal material.
In order to obtain fine grain structure, the key of the SIT process is the preparation of semi-solid slurry in the work.

The basic support subsystem includes monitoring and alarming system, geographic information system, the meteorological information system, forest resource information system, material resource information system and human resources information system.
(4) Emergency response is to synthetically dispatch the needed human and material resources for emergency disposal through comprehensive control system, based on the content of the digital plan, to provide timely and efficient emergency safeguard for the emergency disposal.
Material resource system store the reserves of the supplies, equipment and logistics for forest fire prevention such as fire control equipment, protective equipment, communications facilities, transportation, logistics supply and so on , and do the equipment configuration according to the actual need and financial capacity, strengthen management and maintenance, prepared for battle need.
In this paper, the knowledge organization is based on the field ontology and the category theory, and we appear and deduce the prediction digital plan, according to the key element and realistic way in the template, through introducing the reveal template of the emergency preplan.
[5] Wenjun Wang, Xinpeng Liu, Yingwei Luo, Xiaolin Wang, Zhuoqun Xu : Computer Engineering.

3D dynamic simulation for random-distributed aggregate model of plain concrete Jun Hong a , Li Guo, Ling Qiao, Xiaoming Guo Department of Engineering Mechanics, Southeast University-Nanjing, 210096, PRC a junhong@seu.edu.cn Keywords: concrete; aggregate; discrete element method; dynamic simulation Abstract: Since meso-structure of plain concrete can not be observed directly, numerical simulation is the main approach to obtain the model coincident with the real structure on statistics.
This is the key of computing efficiency
Table 2 Simulating parameters of aggregate Material Coarse aggregate Fine aggregate Density（kg/m3） 3000 2700 Young"s modulus(GPa） 80 70 Poisson ratio 0.3 0.3 friction 0.6 0.7 Time step(S) 10-7 10-7 （1） （2） （3） （4） Fig. 5 Results of random-distributed coarse aggregate model Random-distributed coarse and fine aggregate model of plain concrete.
Numerical simulation study of fracture of concrete materials using random aggregate model [J].