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., BP 32, El-Alia, Bab-Ezzouar, DZ-16111 Algiers, Algeria. 2Microstructure Research Team, Laboratory of Built Environment, Faculty of Civil Engineering, U.S.T.H.B., BP 32, El-Alia, Bab-Ezzouar, DZ-16111 Algiers, Algeria.
M, Al-Swaidani, Use of micro and nano volcanic scoria in the concrete binder: Study of compressive strength, porosity and sulfate resistance, Case Studies in Construction Materials. 11 (2019) e00294

This limitation could be overcome by using a normal equation lower bound method (as shown by El-Dasher et al [4]) where equation (1) for FCC materials could be reduced to: αl = Alkρk, k = 1, 36 and l = 1, 9 (2) where the matrix A represents a component of the dislocation dyadic.
El-Dasher, B.L.

To compute the fundamental solution a fast numerical algorithm by Khutoryansky et al. [3] is applied using some few terms of fast converging Fourier series Gij(y,x)=a (0) ij ln r + ∞� k=1
a (k) ij cos 2kθ + b (k) ij sin 2kθ � , Tij(y,x)=1 r 2� l=1 nl(x) ∞� k=0
ˆa (k) ijl cos (2k +1)θ + ˆb (k) ijl sin (2k +1)θ � .
Using a few boundary-1 0 1 2 3 4 5 6 7 8 2 3 4 5 6 7 8 9 10Intensity factor KI [MN m -3/2] Crack length a [mm] mechan.load electric.load el.mech.load 0 0.0002 0.0004 0.0006 0.0008 0.001 0.0012 0.0014 0.0016 0.0018 2 3 4 5 6 7 8 9 10Intensity factor KIV [C m -3/2] Crack length a [mm] mechan.load electric.load el.mech.load Fig. 3: Intensity factors for mechanical, electrical and combined loading elements, it permits to achieve a good accuracy in computing the field quantities, especially around the crack tips.

Uhl3,c 1,2,3AGH University of Science and Technology in Krakow Al.
References [1] Doebling S W, Farrar C R and Prime M B, 1998, A summary review of vibration–based damage identification methods, The Shock and Vibration Digest, vol. 30, pp. 91–105, [2] Carden P., Fanning P., 2004, Vibration Based Condition Monitoring: A Review, Structural Health Monitoring, vol. 3, no. 4, pp. 355-377, [3] Mendrok K and Uhl T, 2004, Overview of modal model based damage detection methods, Proceedings of ISMA2004, pp. 561–75, [4] Slater G L and Shelley S J, 1993, Health monitoring of flexible structures using modal filter concepts, Proceeding of SPIE, vol. 1917, pp. 997–1008, [5] Gawronski W and Sawicki J, 2000, Structural Damage Detection Using Modal Norms, Journal of Sound and Vibration, vol. 229, pp. 194–8, [6] El–Ouafi Bahlous S, Abdelghani M, Smaoui H and El–Borgi S, 2007, Modal Filtering and Statistical Approach to Damage Detection and Diagnosis in Structures Using Ambient Vibrations Measurements, Journal of Vibration and Control, vol. 13, pp. 281–308,

El-Sharkawi,H. kirkham, and B.W.
Berndt, el al.

[6] Ayssar Nahlé, Ideisan Abu-Abdoun, Ibrahim Abdel-Rahman and Maysoon Al-Khayat: Int.
El-Shenawy and T.
El-Bitar: Int.

Chemisorption of lithium was carried out under the following conditions: T = 50 °C; AlCl3 solution concentration - 120 g/dm3; molar ratio Li/Al = 7; pH equal = 8.0-8.8; holding time with stirring 1 h.
The degree of lithium extraction from brine was 71%; lithium capacity of freshly precipitated Al(OH)3 was 5.9 mg/g.
In the paper [16], aluminum hydroxide was precipitated by adding an aluminum salt of AlCl3·6H2O and NaOH solution to lithium-containing solution in an amount ensuring the maintenance of the Al/Li molar ratio of 5–7.
Lithium extraction from brines using inorganic sorbents Inorganic sorbent The main phases of the sorbent Lithium recovery [%] Aluminum hydroxide Commercial Gibbsite Al(OH)3 21.8 Synthesized Gibbsite Al(OH)3, bayerite Al(OH)3 9.1 Manganese oxide Commercial Manganese oxide Mn2O3, manganese nsutite Mn1.60Mn0.32O3.10(OH)0.90, hydrated oxide 1.48MnO·0.15H2O and pyrochroite MnO·H2O 7.8 Synthesized pyrochroite MnO·H2O, hydrated oxide Mn7O13·5H2O 20.1 The rate of lithium sorption from brines using synthesized sorbents - aluminum hydroxide and hydrated manganese oxide made up 9.13% and 20.11 %, respectively.
El-Sayed, Amany A.

Similar work has been performed by Park et al.[5] where strip profile and coiler setting effects was neglected.
Jung et al.[1] included these effects when investigated coil cooling in cold rolling process.
The micromechanical model used in this work for predicting the incremental precipitation strengthening effect is based on work published by Militzer et al.[4].
To model the thermal properties of the gap zone i.e κgap and tgap work performed by Shridar et al. [6] has been used.
i = 1…n, n= number of el

Costanza et al. [2, 3] classified the global biosphere into 16 ecosystems and 17 service functions, and then estimated the ecosystem services value of each, but their results have been severely criticized by many researchers [4, 5, 6] due to the underestimation on ecosystem services value of farmland and the overestimation on ecosystem services value of wetland, and so on.
In China, Xie et al. [7] improved the valuation method of ecosystem services value mainly included the merging of some ecosystem service functions suggested by Costanza et al. [2, 3] and extraction the equivalent weighting factors for ecosystem services per hectare for terrestrial ecosystems in China.
The method has been widely used in the other areas, and it has high precision, for example: Li et al[9] calculated the VFC in Miyun by this method, the measured value and estimated value of the correlation coefficient of 99%.
Chen et al [11]has verified the method that it has higher accuracy
[4] Serafy, S.El., 1998.

[2] WE Mahmoud, AA Al-Ghamdia, FA Al-Agel, E Al-Arfaj, FS Shokr, SA Al-Gahtany, A Alshahrie, W Shirbeeny, L.M.
El-Desoky, A.
Al-Shahrani.