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Edward Estid Ruiz Galeano, “Modelacion por el método de elementos finitos (MEF), mediante el software ANSYS del elemnto de olaca.,” Univ.
Zúñiga-Torres et al., “Innovative materials for sustainable construction,” Mater.
Salkind, “El papel y la importancia de la investigación,” no.

Numerical analyses are included to calculate the responses of the structures subjected to magnified El Centro earthquakes to show the structural dynamic responses even the material goes into yielded as severe earthquakes are applied.
The full scale damper performance and quality control test is done by Lee et al. [4].
There are two examples of a simple portal frame installed with damper system subjected to El Centro earthquake as shown in Fig. 14.
Fig. 14 El Centro excitation 3m 3m 4.5m Floor thickness(concrete)：0.2m Beam(Steel)：H 200*150*6*9 column(Steel)：H 150*100*5*7 Fig. 15 Structural configuration of a simple portal frame Fig. 16 Bi-linearly stress-strain properties Fig. 17 Displacement responses Fig. 18 Velocity responses Fig. 19 Acceleration responses 3m 5m 5m Floor thickness(concrete)：0.05m Beam & column (Steel)：HW 100*100 Steel properties：E=2*1011 Pa ν=0.3 Fig. 20 Configuration of structure analyzed in the second example Fig. 21 Nonlinear material stress-strain assumptions Fig. 22 Differences of the maximum combined stresses with and without damper installed Fig. 23 Floor displacement responses Fig. 24 Floor velocity responses Fig. 25 Floor acceleration responses Conclusions Damper applied for aseismatic civil structural control purposes is developed locally in Taiwan.

El-Kady1,e 1Faculty of Science, Chemistry Department, Al-Azhar University, Nasr City, Cairo Egypt  2Central Metallurgical Research & Development Institute, P.O.
Bhaskar et al: Prog.
Liu et al.: J.
Sha et al.: Mater.
El-Kady, and M.

The β'' phase (Mg5Si6) and Al-Mn-Si particles are dispersed in the base metal. .
El-Rayes, Ehab A.
El-Danaf.
The crystal structure of the β''phase in Al-Mg-Si alloy.
Crystal structure of the orthorhombic U2-Al 4 Mg 4 Si 4 precipitate in the Al–Mg–Si alloy system and its relation to theβ''andβ' phases.

Atsuo, et al. : J.
Sakka, et al. : J.
El-kheshen: Ceram.
EL-Shennawi, M.M.
Khater, et al. : J.

(3) Table 1: Relations for oil, bio and el boilers.
Location: Tromsø Oslo El Oil Bio El Oil Bio Building 1 165 370 200 440 Building 2 340 630 400 740 Building 3 635 750 Table 4: Relative heat losses for boilers.
Wigenstad et al.
Verma et al.
Persson et al.

Bender et al. made a conclusion that fuzz comprehensive approach could support group decisions through fuzzy sets designed to reflect collective opinions and conflicting judgments by comparing it with the ELECTRE method [5].Butler et al. tested the effectiveness of the fuzzy comprehensive on the Humber sub-region in the UK and the result shows the overall suitability evaluation is mostly influenced by the choice of site attributes taken into account and to a lesser degree by analytical processes [6].Faye et al. applied fuzzy technique to the short-term and long-term of WRCC and founded the means can be adaptive to water resources management [7, 8].El-Baroudy et al. explored the utility of fuzzy theory in the field of water resource systems reliability analysis and proposed three new fuzzy reliability measures: (1) a combined reliability-vulnerability index, (2) a robustness index, and (3) a resiliency index [9].
Before applications of it, the manager must know how it works and of particular important is to select initial structuring of the decision problem which includes: (a) selection of criteria, (b) selection of decision options, (c) weighting the criteria.De Lange et al. explored it for sustainable long-term water resource management in semi-arid region and proposed a long-term water resource management in semi-arid areas with regard to spatial, time and geographical dimensions of the methodology are developed[11].Sensitivity analysis were used in these regions having many uncertain combined with MCA by Hyde et al. and results indicated that simultaneous consideration of the uncertainty in the criteria weights should be an integral part of the decision making process[12].
It is very useful to assess WRCC due to WRCC influenced by a lot of systems such as economic, social, water resources and et.al.
Zhang et al. developed a Tianjin-SD model to the integrate and scientific management of the water resources of Tianjin, which contains information feedback that governs interactions in the system and is capable of synthesizing component-level knowledge into system behavior simulation at an integrated level and finally presented reasonable predictive results for policy-making on water resources allocation and management[15].SD method was employed in western China and made results that demand volumes of fresh water resource can be reduced if reclaimed water is used, however, it is necessity to increase the investment of wastewater secondary and tertiary treatment projects in order to prompt municipal wastewater reuse [17].
El-Baroudy and S.

Krishnamurthy, The National Institute of Engineering, India Mounir Gaidi,University of Sharjah, United Arab Emirates Mohamed Haneef, Ghousia College of Engineering, India Boumerzoug Zakaria, University of Biskra, Algeria Malachy Sumaila, Nigerian Defence Academy, Nigeria Meng-Ting Tsai, National Taiwan University of Science and Technology, Taiwan Vorrada Loryuenyong, Silpakorn University, Thailand Jun Wang, Shandong University of Technology, China Taha Tabaza, Al-Zaytoonah University of Jordan, Jordan Thidarat Wangkham, King Mongkut's University of Technology North Bangkok, Thailand Omar Suliman Zaroog, Universiti Tenaga Nasional, Malaysia Lei Wang, Northeastern University, China Teik-Cheng Lim, Singapore University of Social Sciences, Singapore Sutharsini Ubenthiran, University of Jaffna, Sri Lanka Zhenkun Lei, Dalian University of Technology, China Mohammad Arif Kamal, Aligarh Muslim University, India Najib Saliba, University of Balamand, Lebanon Monowar Hussain, NIT,
Cigarroa-Mayorga, UPIITA-Instituto Politécnico Nacional, Mexico Yoon Soo Han, Daegu Catholic University, South Korea Takashi Saito, Mahidol University, Thailand Tae Hyun Kim, Soonchunhyang University, South Korea Fulin Shang, Xi'an Jiaotong University, China Ting-Jen Hsueh, National Kaohsiung University of Science and Technology, Taiwan Mei-Chi Chang, Chang Gung University of Science and Technology, Taiwan Hyun-Suk Kim, Chungnam National University, South Korea Khaled Abou-El-Hossein, Nelson Mandela University, South Africa Hogyoung Kim, Seoul National University of Science and Technology, South Korea Ming-Chung Wu, Chang Gung University, Taiwan Rein Terje Thorstensen, University of Agder, Norway Wegdan Wagdy El-Nadoury, Pharos University, Egypt Binod Khadka, Tongji University, China

It seems clear that increasing Al content increases the ferrite-austenite transformation temperatures AC1 and AC3 as well as the martensite transformation temperatures Ms and Mf.
The optical microstructure of hot forged alloy steel 1 (1wt%Al) show bainitic matrix containing traces of ferrite embedded in pearlite islands as shown in Fig.4.
On the other hand, alloy steel 2 (2wt%Al) shows pearlitic matrix with 40% ferrite with the absence of bainite, see Fig.5.
A fully pearlitic matrix with continuous network of ferrite islands revealed in Fig.7 for alloy steel 2 (2wt%Al).
UTS=1981MPa PS=1816.9MPa El%=6.97% Fig.19 Engineering stress strain of partitioned steel 1 after tempering at 400ºC X-ray Diffraction The effect of different regimes (A&B) on the volume fraction of retained austenite is demonstrated in Fig.20.

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