Print ISSN: 1814-6120

Online ISSN: 2311-8385

Volume 10, Issue 2

Volume 10, Issue 2, Autumn 2010, Page 1-162


STRESS ANALYSIS OF REINFORCED CONCRETE ANCHOR BLOCKS FOR UNDERGROUND PIPELINES USING FINITE ELEMENT METHOD

Adi Adnan Abdu-Alrazaq; Nabeel A.Jasim

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 1-15

This paper deals with the behavior of reinforced concrete anchor blocks for underground steel pipelines under the effect of loads caused by internal pressure and temperature variation due to transportation of hydrocarbon products. The finite element method is used to carry out the analysis using ANSYS 5.4 program. To study the effect of soil, it is represented by springs with different values for modulus of subgrade reaction in normal and tangential reactions. It is concluded that increasing the values of the modulus of subgrade reactions, k and k, of the soil surrounding the reinforced concrete anchor block causes an increase in the failure loads of the block. But at high values of these modules, the rate of this increase in the failure load will decrease. The area of the passive face of the concrete anchor block is found to have the main effect on the failure load as compared to the length of that block. The failure load of the concrete anchor blocks that have square cross sections is 1.33 times larger compared to that of rectangular section. It is also concluded that locating the steel flange at middle of the block leads to larger resistance of anchor blocks as compared to any other position.

Prediction of Ultimate Strength of Steel-Concrete Composite Beams with Metal Deck Slab using Artificial Neural Network

Rana Auda Mtasher

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 23-35

This paper explores the potential of using artificial neural networks to predict the ultimate moment capacity of steel-concrete composite beam with metal deck slab. Basic information on artificial neural networks and parameters suitable for analysis. of experimental results are given. A multilayer Back propagation neural network is used for training and testing the experimental data. A comparison study between the experimental values and two models (neural network and AISC models) is also carried out. It was found that the neural network model provides better results. The proposed neural network is also used to explore the effect of the various parameters on the behavior of beams.

Mathematical Model of Groundwater flow in Safwan Al-Zubair Area , South of Iraq

Majeed A. Al Tai; Ahmad M. Al Kadhimi; Ali H. Al Aboodi

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 36-54

A two — dimensional mathematical model has been constructed by using finite difference method for representation the groundwater flow in both steady and unsteady states at the upper aquifer of Dibdibba formation. The hydraulic characteristics of this aquifer have been redistributed based on observed data for the period (1988-1989). A verification test is added to check the model correctness by matching the calculated levels with the ones observed for the year 2000.A model was set to predict the groundwater levels up to the year 2010. Results of prediction show a reduction in groundwater level about (1m) in the central parts of the study area compared to the level of this groundwater in the year 2000.On the other hand, this decrease is reaches (O.5m) in the western parts of this area.

A two-step optical modified signed-digit adder for large-scale 2D data array using digit-decomposition-plane representation

Alaa A.Al-Saffar; Mohammed A.Alebadi; Sabah S.Alsheraidah

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 55-65

In this paper, parallel optical array adder for large-scale 2D Modified Sign-Digit (MSD) data array is proposed and implemented to limit the carry propagation to constant steps. The digit- decomposition-plane (DDP) representation technique is expanded to code the 2D array of the MSD number system. The design is based on the logical formulas which are newly derived according to the fundamental parallel addition algorithm for MSD number system using the features of the DDP coding technique. The optical implementations scheme is based on classical optical elements such as spatial light modulators, beam combiners, beam splitters, mirrors, light source arrays, and light detector arrays. The proposed algorithm and its optical architecture have useful intrinsic characteristics such as ultra-high speed, constant processing time, and parallel computation on large-scale data arrays. The simulation results insure that the proposed arithmetic unit is worked successfully.

Genctic Algorithm Based Handwritten Numeric Strings Recognition

Maytham A.Shahed

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 66-75

This paper presents an approach for the recognition of off-line handwritten numeric strings using genetic algorithm. The proposed scheme is divided in two parts. The first part is remove the image noise, then the vertical projection is used to segment the numeric strings at isolated digits and every digit will be presented separately to the second part. The second part using improved genetic algorithm to recognize isolated handwritten digit. The result of the recognition of the numeric strings will display at the exit of the global system.

Impulsive Noise Removal based on Neural Network Schemes

Sarah Behnam Aziz; Abdul-Kareem Younis; Turke Y.Abdalla

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 76-89

Interest in neural networks as an alternative to the conventional algorithmic techniques has grown rapidly in recent years. Noise removal or noise suppression is an important task in image processing. In general, the results of the noise removal have a strong influence on the quality of the following image processing techniques. In this paper, two feed forward NN schemes have been presented for impulsive noise removal. The computation is reduced by using an artificial image in training. Results of NN schemes show high performance especially when the ratio of impulsive noise in testing are the same or greater than that of training image. The presented schemes are used for grayscale and also for truecolor.

Restoration of Noisy Blurred Images

Fadhil A.Ali; Dunia S.Tahir; Jassim M

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 90-101

in this paper, image deblurring and denoising are presented. The used images were blurred either with Gaussian or motion blur and corrupted either by Gaussian noise or by salt & pepper noise. In our algorithm, a discrete wavelet transform is used to divide the image into two parts. This partition will help in increasing the manipulation speed of images that are of the big sizes. Therefore, the first part represents the approximation coefficients, that a blur is reduced by using the modified fixed-phase iterative algorithm. While the second part represents the detail coefficients, that a noise is removed by using the BayesShrink wavelet thresholding method.

Secure Communications Based on Dual Synchronization of Cross-Coupled Different Chaotic Oscillators

Fadhil Rahma Tahir

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 102-110

The dual synchronization of two different pairs of chaotic oscillators: one pair of Duffing oscillators and one pair of Murali-Lakshmanan-Chua (ML-Chua) circuits, has been achieved by numerical simulations. The cross coupling method, where the difference in the voltage between the sum of the of the two master oscillators voltages and one of the slave oscillator voltage is injected to the other slave oscillator as an electrical current, for the dual synchronization has been used. The accuracy of synchronization of chaos is numerically obtained by calculating the root mean square error (RMSE). A communication scheme is presented, utilizing the chaotic masking (CMS) technique. Encoding and decoding of a message based on dual synchronization of chaos has been demonstrated.

Sidelobe Reduction in Linear and Planar Array Antenna Using the Genetic Algorithm

Ramzy S.Ali; Abdul Kareem S.Abdallah; Ali Abdulhadi Noaman

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 111-125

This paper describes the problem of minimizing the sidelobe levels in the radiation pattern of antenna arrays by using the genetic algorithm. Two types of genetic algorithms representation are used here: binary and continuous genetic algorithms depending on the nature of the problem at hand. Adaptive genetic algorithm which is a special type of genetic algorithm is used in this work. The obtained results explain the capability of this approach to obtain the desired sidelobe level.

Effect of biaxial Tensile Loading Ratio (Ox / Qy) on Stress Distribution Around Crack Tip

Ossama Abdul Aziz; A.K.F.Hassan

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 126-149

This paper deals with the computer simulation of stress distribution in a plane model of mild steel under biaxial tensile loading. The goal is to visualize the crack behavior under deferent ratios of biaxial loading through linear elastic fracture mechanics theory. A finite element method is considered in calculating the mixed mode of stress intensity factor that governing the influence of stresses distribution around the crack. Aspects of crack propagation are considered. It is found that the maximum circumference stress is not of the plane of crack but that inclined by an angle (68) from it.

Alumina-to-Alumina Actively Brazed Using Cu-Ti, Cu-Zr, and Eutectic Ag-Cu-Ti Filleer - Metal Alloys

R.H.Yousif; M.J.Kadhim; F.A.Hashim

Basrah Journal for Engineering Science, Volume 10, Issue 2, Pages 150-162

In the current study, a new simulator is designed to manipulate what is known as hybrid grid global system for oil reservoir simulation. The global system composed of two subsystems, one covering the regions around the well which is called radial (r-e) model while the second is linear (x-y) which covers the rest of reservoir regions. The constructed simulator is able to deal linear and radial two phase flow compressible oil water with the consideration of the rock compressibility. The two subsystems are solved simultaneously within the global system of the reservoir. The outer and inner boundary conditions between the two systems are treated and improved interactively during each time step depending on the relative positions of the two subsystems in reservoir. The method of formulation and system solving also are introduced with the main characteristics of the new simulator.