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Fig.1.
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Changing design procedures is particularly difficult because designers face many conflicting objectives, uncertainties, and a work environment demanding speed and cost effectiveness [1, 2].
Table 1 shows the results summary of the reliability analysis.
The first order confirmatory test with multiple factors result showed an adequate fit as shown in Figure 1 and Table 7.
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Y. (2007) “Materials selection and design for development of sustainable products” Materials & Design, 28(2), pp. 466-479 [8] Koyluoglu, M.

Introduction Research industries are now producing bio-asphalt either from biomass or bio-waste products [1-3].
Result and Discussion Acid value The acid value results were presented in Table 1.
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Table 1 The nominal composition of the oxygen-free copper (wt.%).
The temperature history of quasi in-situ experiment is presented in Fig. 1.
The main conclusions can be summarized as follows: 1.
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Schwarzkopf, J.K Tien, Creep-fatigue behavior of directionally solidified and single crystal intermetallic Ni3Al (B, Hf) at an intermediate temperature, Metall Trans A. 19 (1988) 479-486

Relevance of the restraint conditions fort the generation of welding residual stresses Figure 1: Schematical presentation about the interaction of residual stress generation and distortion [2].
The distortions are an evident proof fort he shrinkage and dilatation processes which are affected by the local heat input [1].
Figure 6: Influence of the constraint conditions on the shrinkage induced residual stresses [1].
References [1] Malisius,R.: Schrumpfungen, Spannungen und Risse beim Schweißen.
Uni.Magdeburg (2000) [10] Wohlfahrt,H.: Härterei-Technische-Mitteilungen 41(1986) Nr.5, S.248-257 [11] Th.Nitschke-Pagel; K.Dilger: Schweißen und Schneiden 58 (2006), Heft 9, S.466-479 [12] Christian,H.

Fig.1 An airway network Based on the above empirical foundation, it will establish a bi-level plan model.
In view of Figure 1 above, it can be seen that the initial network G=(N,A)，N=(R,1, 2,3,4,5,6,7,8,9, 10,S); where A can be obtained from the initial connectivity matrix δij as follows.
The input variables involved by the model are defined as follows, i.e.: δij, the initial connectivity matrix of airway network; Bij, the flight cost matrix between airway node pairs; Cij, the capacity matrix between airway node pairs; wij, the matrix for work load of controller between airway node pairs; tij0, the zero airplane flow flight time between airway node pairs. 0 1 0 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 0 1 0 1 0 1 0 ijδ                   =                     0 15 20 10 25 8 22 11 24 14 24 30 0 0 12 9 19 12 20 14 21 16 22 28 0 0 0 0 9 0 13 0 14 0 16 16 0 9 13 0 12 6 14 8 16 15 19 27 0 0 9 0 0 0 5 0 7 0 17 9 0 12 14 6 13 0 13 5 15 8 18 25 0 0 13 0 5 0 0 0 4
Fig. 2 Schematic Diagram for variance of mean value of iterative population based on the genetic algorithm Fig. 3 Schematic Diagram for variance of iterative solution based on the genetic algorithm Fig. 4 Schematic Diagram for total flight cost plan of airway The topological matrix for the optimized airway network, kij, i.e.: 0 1 3 0 1 4 0 8 0 1 6 0 1 1 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 9 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 2 0 0 1 8 0 0 0 0 0 0 0 0 0 0 0 0 ijk                   =                     Conclusions The airspace airway network plan has very importance on guaranteeing the airspace security and reducing flight cost.
Omega, 2002, 197-213 [2] Gao ZY, Wu JJ, Sun HJ.Solution algorithm for the bi-level discrete network design problem[J].Transportation Research Part B 39 (2005):479-495 [3] Chiou SW.An efficient algorithm for optimal design of area traffic control with network flows [J].Applied Mathematical Modelling. 2009,33 (6): 2710-2722 [4] Liu CZ, Fan YY, Ordonez F.A two-stage stochastic programming model for transportation network protection[J].Computers & Operations Research, Volume 36, Issue 5, May 2009, Pages 1582-1590 [5] International civil aviation organization, Manual for air traffic service plan[S], Doc9426-AN/924, 2001 [6] ZHANG Ming.

The third term in Eq. 1 is the sum of n-body interactions (n > 3) within the centrally symmetric approach.
Quality of fitting the universal equations of state for B2 and L12 model structures is illustrated in Figure 1.
The binding energy between two defects (A, B = solute, SIA or vacancy): E(A,B) b = EA(VN−1 + A) + EB(VN−1 + B) − EA+B(VN−2 + A + B) − E(VN), (2) where E(VN) is the energy of the perfect supercell with N vanadium atoms, EV ac(VN−1) is the energy of the supercell with monovacancy, EA(VN−1 + A) and EB(VN−1 + B) are energies of the supercell with A and B type defect, respectively, and finally EA+B(VN−2 + A + B) is energy of the supercell containing both A and BFigure 2: The considered nearest-neighboring (nn) atomic configurations: a) 1nn-3nn positions (black atoms) near the vacancy (white atom); b) 1nn-4nn positions near the ⟨111⟩ dumbbell highlighted with space diagonal defects.
That may elucidate nature of the swelling reduction of vanadium doped with titanium.References [1] D.
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Constr., vol. 50, no. 1, pp. 1–11, 2017, doi: 10.1617/s11527-016-0926-1
July, pp. 472–479, 2017, doi: 10.4028/www.scientific.net/KEM.747.472
[16] IS 3495:Parts 1-4 Methods of Tests of Burnt Clay building brick. 1992, pp. 1–7
Constr., vol. 52, no. 2, pp. 1–12, 2019, doi: 10.1617/s11527-019-1333-1.

For a set of alternatives X is represented by matrix A=[aij]ÌX×X, aij=[1/9, 9] and aij∙aji =1 for i,jÎ{1. …, n}.
The relative weights wi for all alternative i can be obtained by using Eq. 1: . (1) Previous studies [16] have given significant attention to fuzzy preference relations.
This study adopt linguistic terms are { AH (Absolutely highly important), VH (Very highly important), SH (Strongly highly important), WH (Weakly highly important), EQ (Equally important), WL (Weakly lowly important), SL (Strongly lowly important), VL (Very strongly lowly important), AL (Absolutely lowly important)} and the intensity of linguistic terms are {AH (9), VH (7), SH (5), WH (3), EQ (1), WL (1/3), SL (1/5), VL (1/7), AL (1/9)}.
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