Journal of Civil Engineering and Materials Application
Volume:1 Issue: 3, Summer 2017

Use of neural network approaches in order to estimate mechanical and characteristics of concrete are common, in this regard, after making concrete samples in a laboratory the results of the laboratory are estimated by neural network. A drop impact test is used in order to evaluate impact strength of concrete samples; data obtained from the test usually has high dispersion. Various researches have been conducted to evaluate impact strength of concrete samples but no effort has made yet to predict impact strength of concrete by compressive, flexural strength. In the research, using neural network approach of ANN the impact strength of concrete is predicted from mixture design, compressive and flexural strength. In this regard, a numerical relation and range between compressive, flexural and impact strength have been predicted by collecting laboratory data from previous researches. Results for using neural network to estimate the compressive and flexural strength of concrete has shown that using this tool for estimating compressive and flexural strength of concrete is appropriate because the correlation coefficient between the estimated data and the laboratory data is near to 1.

Reinforced concrete column-to-steel beam (RCS) composite connections have been introduced as a structural system since a couple of years ago. Optimally combining metallic and concrete-made structural elements, this system takes advantages of both systems. There are two types of these connections, including through-beam and through-column connections. In the present research, once finished with verifying a finite-element model, a parametric study (considering a cross-braced frame) was performed and the results were compared in terms of strength, cracking, failure stages of the model, and ductility. Results of the present research were indicative of higher strength and force corresponding to the first crack in braced composite frame. Furthermore, the use of bracing resulted in enhanced ductility of the system.

Dams and Power Plants of Siah Bisheh are the first projects of the dams and Storage Pump Power Plant in Iran. The project is located 125 kilometers north of Tehran, Mazandaran province, which due to its proximity to the Siah Bisheh village it's called the same name. The purposes of this project are to create a balance in the consumable power grid of the country at high and low consumption hours, reduce the cost of thermal power of amortization, create a recreational and tourism environment in the region, and create job creation during the implementation and operation. This project has been found of two upper and lower dam and a Power Plant which is used of two channels due to the water transformation between the upper and lower dam. according to the relatively large distance between dams from each other and the complex topography of the Siah Bishe project, the design and implementation of channel tunnels have complexity and special importance, which its more important factors are being long route of the channel, passing the channel from the earthquake-prone and fault areas, high water pressure, the presence of tunnels and geological complexity of the area. According to the above subjects, the Siah Bishe projects had been one of the most complex and difficult parts of the project for design and implementation. In this article has been proceeded to the description of the important points of the value engineering application in the design and implementation of the channels, which its results and achievements will be very useful in designing and constructing of other countrys projects.

Spur dike is a structure that extends transversely from the river bank toward its thalweg and deflects the flows away from the bank toward the center. One common type of this structure is the T-shaped spur dike, and the wings present in this dike can have major effects on the proximate flow pattern. In this study, the turbulent flow around three attracting T-shaped spur dikes placed in series was simulated using the FLUENT, the finite volume method and the k-? turbulence model. The results of numerical modeling show that increasing the dike length and the spacing between dikes both alter the flow pattern around the structure, but flow pattern is more affected by the increase in the dike length than by the increase in the dike spacing.

In this research, the finite element modeling method as well as retrofitting of the masonry materials panel under the out-of- plane load was investigated by FRP composite using Abaqus software. In this study, a 1800-mm x 1800-mm wall was placed under an out-of-plane load and then reinforced using FRP sheets. The fibers were placed on the wall in two groups of CFRP and GFRP in four different ways. The wall was placed under a 60 kN out-of-plate load and the modeling results in Abaqus software showed that the wall reinforced with GFRP in Y-shape has 67% maximum performance improvement relative to other layouts, followed by the wall reinforced with CFRP sheet in X-shape with 66%. It is recommended to use these two layouts and fibers in construction.