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The elemental analyses were performed on an Elementar (Germany) Vario EL III elemental analyzer.
Zhang , Y.R Peng, et al.

Mijoule 1,a , El Hocine Megchiche 2,b , E.
In order to estimate the temperature corresponding to ∆a/a0, we used the analytical form given by Suh et al. [15] for nickel.

Obaidi, “The Pavement Condition Index (PCI) Method for Evaluating Pavement Distresses of The Roads in Iraq- A Case Study in Al- Nasiriyah City,” Univ.
Elhadidy, El-Badawy S., Elbeltagi E., (2019).
[16] El-Raof, H.S., El-Hakim, R.T., El-Badawy, S.M., & Afify, H.A. (2019).

El Gamal, N.M.
Al-Musayeib, R.A.
Al-Rehaily, M.
Farag, Assaf M.H, El-Tahir K.
Al-Resayes, C.P.

Sousa et al. [20] observed that significant changes occurred in the gloss and colour of the exposed samples.
Similarly, Heinrick et al [22] noticed that after 9 months of exposure, the samples endured some physical changes involving discoloration, cloudy appearance within the resin matrix.
The reason according to Mourad et al.[28] is related to the possible swelling in the samples during the exposure that leads to increase in the modulus and lower in strain at failure.
[21] Almusallam TH, Al-Salloum YA, Alsayed SH, El-Gamal S, Aqel M.
[28] Mourad AHI, Beckry Mohamed AM, El-Maaddawy T.

References [1] Zhang Ruihong, El-Mashad H.
M., Hartman Karl, et al.
[2] El-Mashad H.
[6] Jin Hongguang, Hong Hui, Wang Baoqun, et.al.
[15] Kong Xiangqiang, Li Ying, Wang Ruzhu, et al.

Deja et al.[2] reported that the cement industry presents 7% of global CO2 emissions and that making one ton of clinker emits around 0.9 to 1 ton of CO2 into the atmosphere.
Wang et al.[12] showed that the basic slag mortar develops more strength than neutral and acidic slags; they also mentioned that the hydraulic activity of slag is related to its chemical composition.
The increase in NaOH dosage improves the dissolution of Si and Al in the slag; however, increasing the molarity of NaOH has a very limited impact on the compressive strength [14,15].
The blast furnace slag by-product comes from El-Hadjer steel factory (Annaba, Algeria).
El-Bakkari, Y.

El-Raghy: J.

Estimation of Physical Parameters using Learning Algorithm in Precision Positioning Control Seiji Hashimotoa, Hiroki Watanabeb and Kenji Nakajimac Department of Electronic Engineering, Gunma University 1-5-1 Tenjin, Kiyu, Gunma, 376-8515, Japan a seijiha@el.gunma-u.ac.jp, b t10801664@gunma-u.ac.jp, c Kenji_Nakajima_Z@mail.daihatsu.co.jp Keywords: neural network, feedback error-learning, precision positioning control, state estimation Abstract.
Egashira, et al.: Japanese Journal of Applied Physics, Vol.41, No.9 (2002), pp.5858-5863 [8] S.

., Chalid el Dsoki, Kaufmann H., A study of compatibility two classical fatigue curve models based on some selected structural materials, Inernational Journal of Fatigue, Vol. 39, June 2012, pp. 88-94
[10] Krysicki W. et al, Probability theory and mathematical statistics in problem, PWN, Warszawa 2000, pp. 184-188.