La région de Tinibaouine est située au Nord-est de l’Algérie, en bordure Septentrionale des Monts de Batna-Belezma, Elle est caractérisée par un climat de type semi-aride à aride avec une précipitation moyenne annuelle qui n’excède pas 465mm, et une température moyenne annuelle de l’ordre de 22°C. Cette région est caractérisée par la culture de l’abricot comme culture essentielle suivie des olives, dont les parcelles sont toutes irriguées à partir de la source. Il s’agit en effet de 450 Ha d’arbres destinés à l’abricotier et de 108 Ha aux olives. L’émergence naturelle des eaux qui ont pour le réservoir Dj. Refaa situé en contrefort Sud de la plaine de Tinibaouine où émerge la source. Son débit actuel est de l’ordre de 100 à 110 l/s (mesuré en Mars 2015) alors qu’il pouvait atteindre 200 l/s par le passé en 1971. L’objectif de ce travail est de cerner les contraintes naturelles et anthropiques ayant une incidence directe sur l’usage de la source et de chercher le mode de gestion approprié, qui tienne compte non seulement des solutions techniques qui s’inspire également des règles sociales qui régissent l’usage et les conflits qui leurs sont liés.

This paper presents a statistical analysis of reported accidents related to the Skikda’s Oil and Gas Refinery that led to a major explosion and loss of life. A historical review of fire, explosion and toxic release incidents that occurred during the period between 2002 and 2013 is presented. A brief description of each accident/incident is provided with the fatalities and personal injuries that resulted being described. These case studies have been analyzed with a view to understand the common causes including errors, which have led to catastrophic events. Accident frequency analysis has been applied to various types of primary accidental events such as fire, explosion and toxic gas releases to assess the potential damage of such events and the likelihood of such damage occurring. The basic principles of such analysis is to utilize the available information and use the most detailed elements to illustrate what the industry should learn from these accidents so that it can learn from them and hopefully prevent future major accidents.

Prediction of soil swelling characteristics and accurate quality estimation can be of a great consideration and contribution regarding the site stability. Any concerned investigation is correspondingly an advanced priority for the project realization. Related inquiries allow potential reduction concerning financial and technical charges damage prior to any urban development. The determination of soil characteristics lead for a better recognition, and allow to make the best choice of foundation type adopted for each site. Thus, in any urban case study, much gain can be made by team work recording and surveying the related data. In the considered city of El Kouif, located in Tebessa (Algeria), several buildings have been mainly built on expansive soils. Observations indicate different severe damages which were caused mostly in the nearby structures. These damages are characterized by deflection and failure of walls. Lateral and vertical displacements evidences support the presence of shear movements and subsidence. The scale up of these movements occurrence can reach millimetric shifting dimension. Ground and subsurface risk activity affecting El Kouif city site are also related to the presence of destructive chemical components such as sulfates. The sulfate occurrence is illustrated through generally gypsum minerals concentration present in the concerned soil. During building projects, these soils, in meeting concrete and in presence of water, are source of new mineral generation such as ettringite. It consists on the assemblage of water and sulfate in addition to calcium. Source for these chemical products expansion might be associated to historical event: the city of El Kouif was the field of phosphates mining area in addition to established phosphate extraction plant. Thus, determination of soil characteristics and involvement of chemical components turn out to be the main objectives in this investigation.

In machining operation, the quality of surface finish is an important requirement for many turned work pieces. cutting temperature is one of the most important parameters in determining the cutting performance and tool life. the objective for this work is to estimate the cutting temperature in 3D model on tool-chip interface and the interface temperature during turning process, using the digital simulation software COMSOL Multiphysics.The tool–chip interface temperature results obtained from experimental results by using C45 medium carbon steel work piece with natural contact tools, without the application of cooling and lubricating agents and a K type thermocouple technique was used for estimating cutting temperatures in a turning operation.This procedure facilitates the determination of the temperature at tool-chip interface in dry turning process, which is still a challenge for existing experimental and numerical methods.

This paper presents an intelligent control strategy that uses a feedforward artificial neural network in order to improve the performance of the MPPT (Maximum Power Point Tracker) MPPT photovoltaic (PV) power system based on a modified Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC technique for the studied PV system.