Publications

  1. SAFETY ASSESSMENT OF FLARE SYSTEMS BY FAULT TREE ANALYSIS

Mohammed Taleb Berrouane, Zoubida Lounis

Journal of Chemical Technology and Metallurgy, 51, 2, 229-234; 2016.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Influence of the particle size of Cu-ZSM-5

for the heterogeneous oxidation of bulky hydrocarbons

H. Belarbi, Z. Lounis, A. Bengueddach, and P. Trens

Eur. Phys. J. Special Topics 224, 1967–1980 (2015)

© EDP Sciences, Springer-Verlag 2015

 

 

 

 

 

 

 

 

 

 

 

  1. Oxidation of phenoliques products in liquid phase over Fe and Cu-ZSM5 in presence of peroxides

Atallah Dehbi, Zoubida Lounis, Aek.Bengueddach

ChemXpress 8(3), 145-151, (2015)

 

 

 

 

 

 

 

 

 

 

  1. Fatigue strength prediction in composite materials of wind turbine blades under dry-wet conditions: An artificial neural network approach

K. Ziane, S. Zebirate and A. Zaitri

Journal:Wind Engineering (Sage Publications), Volume 40 Issue 3, pp.189-198 (June 2016)

 

 

 

 

 

 

 

  1. Particle swarm optimization-based neural network for predicting fatigue strength in composite laminates of wind turbine blades.

K. Ziane, S. Zebirate and A. Zaitri

Composites: Mechanics, Computations, Applications: An international journal 6(4), 321–338 (2015).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Composite materials derived from biodegradable starch polymer and Atriplex halimus fibers.

hayet Latifa Boudjema and Hayet Bendaikha, 

.e-Polymers 2015; 15(6): 419–426. DOI 10.1515/epoly-2015-0118. 

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  1. Studies on the Properties of Cellulose Fibers-Reinforced Thermoplastic Starch Composites.

Hayet Latifa Boudjema and Hayet Bendaikha,

Journal of Chemistry and Materials Research Vol. 3, 2015, 21–25.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Monitoring and identification of marine oil spills using advanced synthetic aperture radar image

Zakarya Mihoub, Abdelatif Hassini

Optica Applicata 2014(Vol.44), No.3, pp. 433-449

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. From Centralized Modelling to Distributed Design in Risk Assessment and Industrial Safety: Survey and Proposition,  Service Orientation in Holonic and Multi-agent Manufacturing, 2015, 125 137, ISSN 1860-949X

http://link.springer.com

AISSANI Nassima, GUETARNI Islam Hadj Mohamed

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Realization of an Inexpensive Embedded Mini-Datalogger for Measuring and Controlling Photovoltaic System, Journal of Solar Energy Engineering-Transactions of the ASME, ASME,  Volume 137, Issue2, 024502 (5 pages), Paper No: SOL-14-1185; doi: 10.1115/1.4029232, Date: April 01, 2015.

Naim Houcine, Hassini Abdelatif, Benabadji Noureddine, Falil Fatima Zohra, Bouadi Abed

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Thermal method of remote sensing for prediction and monitoring earthquake

Hassini Abdelatif,  belbachir  ahmed hafid

Information and Communication Technologies for Disaster Management (ICT-DM), 2014 1st International Conference on  March 2014, Print ISBN:978-1-4799-4768-3; DOI: 10.1109/ICT-DM.2014.6917790,publisher IEEE

 

 

 

 

 

 

 

 

 

  

 

 

 

 

 

 

  1. A Simple Remote Sensing Ground Receiving System for Interest Creation in Systems Engineering and Geophysics Research

Research Article - Systems Engineering, Arabian Journal for Science and EngineeringJune 2015, Volume 40, Issue 6, pp 1793-1808.

Abdelatif Hassini; Ahmed Hafid Belbachir

 

 

 

 

 

 

 

 

 

 

 

 

  

 

 

 

  

 

 

 

 

  1. ecological changes detection in southern algeria using remote sensing techniques, for example oasis of brezina

L. Taouaf and A. Hassini

Ecology, Environment and Conservation Paper

             Vol 21, Issue 3, 2015; Page No.(1199-1206)

http://www.envirobiotechjournals.com/journal_details.php?jid=3

 

 

 

 

 

 

 

 

 

 

  1. Prototyping a Dedicated Photovoltaic System Datalogger

Benabed Khadidja, Boudghene Stambouli Amine, Benabadji Noureddine

TELKOMNIKA Indonesian Journal of Electrical Engineering and computer science

Vol. 16, No. 3, December 2015, pp. 488 ~ 494

DOI: 10.11591/telkomnika.v16i3.9421

Abstract :  Flaring is a combustion process of waste gases from the oil and gas industry. The escape of these gases from the flare stack without been burned is known as Flameout. These released gases can present human and environment toxicity as well as they can lead to a vapor cloud explosion (V.C.E), if conditions are provided. The flameout events which can occur by environmental, equipment and human factors have not received significant attention compared to other types of flare incidents, most probably due to the fact that they may stay unnoticed if detected and successfully reignited in the early hours. In this work we define some performance indicators extrapolated from a prepared fault tree. They are subsequently assessed through probabilistic methods to evaluate our system safety. The investigation

carried out is aimed at better understanding of flameout occurrence mechanisms.

Keywords: flare system, flameout, modeling, fault tree analysis

 

 

Abstract. Diffusion limitations inducing pores blocking is a key parameter When using heterogeneous catalysts. The aim of this work is to study the influence of the particle size and therefore, the external surface extent, on catalytic properties of ZSM-5 crystals. Nanocrystals or microcrystals of Cu-ZSM-5 were prepared and characterized. The key difference between these catalysts is the extent of external active surface, favouring the nanocrystal form of ZSM-5. Both materials were

further employed for the catalytic oxidation of various substrates differing by their size. Oxidation of indane, tetralin, propyl and octylbenzene was successfully performed when using both catalysts. However, a clear enhancement was observed when the nanocrystal form of Cu-ZSM-5

was used. The different efficiency of both catalysts was discussed in terms of external active surface and diffusion limitations.

 

 

Abstract : Iron and copper exchanged ZSM-5 has been prepared following several strategies of synthesis. The oxidative properties of exchanged zeolites (CuE-ZSM-5; FeE-ZSM-5) towards the liquid phase oxidation of phenols and P-cresols using peroxides (H 2O2 35%, SPC AND SBP) undermild reactions conditions (reflux of solvents and at atmospheric pressure) have been evaluated. Stoichiometric amount of peroxides was used for good oxidation efficiency.The catalytic performance was moni tored by the nature of active exchanged cations zeolites and the nature of used peroxide. In most cases, high yields of ketones have been obtained. The formed products were identified by gas-phase chromatography-

 

 

ABSTRACT /In this article, the fatigue strength in composite materials of wind turbine blades under dry-wet conditions is predicted using artificial neuralnetworks. Compression–compression constant amplitude fatigue tests were performed on thermoset polymer resins including polyesters and vinyl esters. Coupons were tested under an air temperature of 20°C and 50°C in both “dry” and “wet” conditions. The results show that artificial neural network can provide accurate fatigue strength prediction for different resin matrices under different values of temperature.

KeywordsPrediction, fatigue strength, environmental effects, wind turbine blade, composite materials

 

Abstract:

In this paper, the fatigue strength in multidirectional (MD)/unidirectional (UD) composite laminates of wind turbine blades is predicted by using particle swarm optimization-based artificial neural networks (PSO-ANN). In PSO-ANN approach used in this work the objective function was assessed using the mean square error (MSE) computed as the squared difference between the predicted valuesand the target values for a number of training set samples. Different materials based on different reinforcing fabrics and resins are compared in terms of the maximum tensile fatigue stress. Tension-tension constant amplitude fatigue loads were performed on thermoset materials including glass-fiber/epoxy, polyester and vinyl esters. All materials were treated in closed molds with resin infusion process, which were molded into their final dogbone shape without machining. The results show that PSO-ANN can provide accurate fatigue strength prediction for different MD/UD composite laminates under different values of fiber orientation.

KeywordsPrediction; Composite materials; Fatigue strength; Artificial neural networks; Particle swarm optimization; Wind turbine blades

 

 

Abstract:  Biocomposites from starch and cellulose fibers have gained renewed interest as environmentally friendly materials and as biodegradable renewable resources for a sustainable development. In this study, natural fibers were extracted from a Mediterranean saltbush (Atriplex halimus) plant found abundantly in North Africa. The composites were prepared by a solution casting method from corn starch using 0–15 wt.% of micro-cellulose fibers as a filler. The structure of the composites was investigated by Fourier transform infrared spectroscopy. The physical properties of the composites were determined by mechanical tensile tests, thermogravimetric analysis and water absorption. The results showed that higher fiber content raised the elastic modulus by 92% and the temperature of degradation by up to 355°C. Optical microscopy revealed a good adhesion between the matrix and the fibers owing to their chemical similarities. Water uptake measurements showed that the composites had a much better water resistance and a more hydrophobic character than pure thermoplastic starch films. Biodegradability tests confirmed that the prepared composites are an environmentally safe material suited for different applications.

Mots clés:  biodegradability; cellulose fibers; mechanical properties; thermal properties; thermoplastic starch.



Abstract: Green composites have gained renewed interest as environmental friendly materials and as biodegradable renewable resources for a sustainable development; in this study, cellulosic fibers are obtained from raw plant material such as Atriplex Halimus plant (found in Oran, Algeria). These fibers have been used as reinforcement for thermoplastic starch in order to improve its different properties. The composites were prepared by solution casting method from corn starch plasticized with glycerol as matrix which was reinforced with micro-cellulosic fibers with fiber content ranging from 0 to 15% (wt/wt of fibers to matrix). Physical properties of composites were determined by mechanical tensile tests and thermogravimetric analysis. The results showed that higher fibers content raised the elastic modulus and the temperature of degradation when compared to the non-reinforced thermoplastic starch. Optical microscopy revealed a good adhesion between matrix and fibers. The prepared composites present an environmentally safe material for different applications and can be one of the strongest drivers for sustainable products.

Mots clés: thermoplastic starch; Cellulose fibers; Mechanical properties; Thermal properties.

 

 

 

Abstract The aim of this study is to propose and test a new methodology for detection of oil spills in the world oceans from advanced synthetic aperture radar imagery embedded in ENVISAT satellite (ENVISAT-ASAR). The proposed and applied methodology includes four levels: data acquisition, dark spots detection, features extraction and dark spots classification for discrimination between oil spills and look-alikes. Level 1 contains the ENVISAT-ASAR wide swath mode data acquisition. Level 2 begins with a visual interpretation based on experience and a priori information concerning location, external information about weather conditions, differences in shape, and contrast to surroundings between oil spills and look-alikes, then filtering and segmentation. Level 3 contains extraction of features from the detected dark spots. Level 4 aim is to discriminate oil spills from look-alikes using the features extracted by means of object-based fuzzy classification. As a result, oil slicks are discriminated from look-alikes with an overall accuracy classification of 91% for oil slicks and 86% for look-alikes. Finally, to validate our results, the method has been tested by comparing the areas of the automatically detected oil spills (object-based fuzzy classification) with the areas of the manually detected

 

 

Abstract

Safety is seen as a key factor for successful business and an inherent element of business performance. As a result, industrial safety performance has progressively and measurably improved in terms of reduction of reportable accidents at work, occupational diseases, environmental incidents and accident-related production losses. It is expected that an “incident elimination” and “learning from failures” culture will develop where safety is embedded in design, maintenance, operation at all levels in enterprises. Today’s safety analyses and proofs for certification purposes are still performed predominantly manual. However, the quantitative analysis, by its complex nature, introduced automation in the management of risk and industrial safety: statistics analysis, Bayesian methods and Bayesian networks. In this paper, a state of the art of computing in risk assessment and industrial safety will be presented: static, dynamic, centralized and distributed applications. Then, a proposal will be made to design a “Dynamic safety system” which aims at detecting and evaluating risks, then establishing prevention actions.

 

 

Abstract

This article describes the design and the realization of an automatic recording device for measurements and controls of multiple physical parameters, in order to manage and monitor a mini central photovoltaic (PV) electricity. It is based on an 8-bit microcontroller, a PIC16F716, which is the lowest cost in the midrange portfolio from Microchip. The automatic recording device (or datalogger) measures the following parameters: the current sourced by a set of PV panels to solar batteries, the voltage across these batteries, the internal and the external temperatures, through a 4 channel multiplexed 8-bit analog–digital converter (ADC) integrated module. This datalogger is clocked with a real time clock and calendar (RTCC), which controls also the periodic measurements. These are stored in an external 8 kB flash electrically erasable/programable read-only memory (EEPROM), a 24LC64, using the I2C protocol, which allows us to easily increase the storage capacity by adding, if necessary, in parallel, up to eight external flash EEPROM.

 

 

Abstract

Analyzing past earthquakes and their characteristics, perhaps a better understanding about the earthquake phenomena can be made. Pressure built-up due to tectonic activities and also associated subsurface degassing might create changes in thermal regime and if by any technique this change is detected, it can provide very important clues about future earthquake activities. Passive thermal satellite remote sensing which can sense the earth's surface emissivity at regular interval introduces a new way of analyzing this phenomenon. A method using MSG-SEVIRI (METEOSAT Second Generation-Spinning in Visible and InfraRed Imager) thermal infrared time series datasets is developed and applied in this research, AEPA (Active Earthquake Prediction Algorithm) method can depict some anomalous increases in surface temperature that occur before an earthquake. One past earthquakes in Oran (Algeria) from June, 06 2008 was analyzed for studying the thermal changes before and after the earthquakes. The study was successful in detecting pre-earthquake thermal anomalies prior to all these earthquakes. Significant thermal anomalies with a rise in temperature of about 4-6°K in the vicinity of the epicenters have been observed. The anomalies disappeared along with the events.

 

 

Abstract:

The METEOSAT Second Generation (MSG3) geostationary satellite main payload is the optical imaging radiometer, the so-called Spinning Enhanced Visible and InfraRed Imager (SEVIRI). With its 12 spectral channels and its high temporal resolution, SEVIRI can offer improved geophysics thematic products measurements. So, the development of a system that can exploit the temporal behavior of the terrestrial disk observations is crucial for these near-real-time applications. Advanced Very High Resolution Radiometer (AVHRR) data from polar-orbiting NOAA19 satellite are acquired and processed here. A ground station is required to collect and follow the temporal, spectral, and space evolution of the treated topic of interest. The main objective of this research is to give the most important directives for developing a simple remote sensing ground station. The system consists of hardware and software parts and gives meaningful results using received daily data from either SEVIRI-MSG3 or AVHRR-NOAA19. Satellite multi-sensor database is created and enriched everyday.  A realized autotracker capable of automatic tracking satellites is mounted in our ground station. Based on received images, some acquisition and MSGViewer software processing results such as brightness temperature, Albedo conversions from the raw data, and different red–green–blue combinations between visible and infrared windows are illustrated and discussed. The system can be easily applied for operational research uses.

Keywords:

Satellite Sensors Acquisition Images Realization RGB combination

 

 

 

Abstract

Oasis in the Sahara Desert are undergoing rapid physical and socio-economic changes. High spatial resolution remote sensing data from the Landsat Thematic Mapper have been used in an attempt to monitor these changes. For studies of these changes we chose the Oasis of Brezina in southwest Algeria as an example of this phenomenon, the variations of Average Difference Vegetation Index (NDVI) every Autumn in the last 20 years record a degradation since 2001 (the beginning of the dam Brezina) where data indicate the retreating number of palm trees from 28 000 to 18 000 between 2001 and 2013. Several hypotheses are tested to find the cause, the pollution of water and increased salinity are tested, but the analysis and treatment were negative, with going back to data processing and area study shows that the main factor is the dam and the piece down the groundwater level, which was fed by the oasis which is due mainly to the geological nature of the area. We proposed a New irrigation system to raise the groundwater level and in order to avoid such mistakes in the future development projects without a comprehensive study taking into account the characteristics of each region.

 

 

Abstract : Solar power is a renewable energy seen as one of the primary sources for electricity production in

order to meet our daily needs. The conversion operation is sensitive and non-fault tolerant that can occur

during operation of the system that affects its overall performance. We propose in this present paper a

compact, low power and low-cost datalogger for the control and the monitoring based on a survey

measure of five important physical parameters in the management and monitoring of the functioning of an

electric system based on solar panels. These measures will be carried out at regular intervals, configurable

through a PIC18F4520 microcontroller and stored in a large capacity memory type SD card.

Keywords: photovoltaic panels, datalogger, microcontroller 8-bit, SD card memory, micropower LDO

Communication

  1. « Safety Performances Assessment of a LNG Flare System;

Taleb berouane Mohamed, Lounis Zoubida ; Colloque International sur l’Environnement et le Développement Durable» IHSI-UHLB  (université de blida) ; 2-3 juin 2015.

  1. les Systèmes d'Informations Géographiques pour cartographie les Risques liés au  Transport des Hydrocarbures par Pipelines :   oléoduc ELR1

Chacha djillali, Lounis Zoubida, Hassini Abedelatif

Colloque National Maintenance - Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Transport Routier de Matière Dangereuses

Benomar Fatima, Lounis Zoubida, Brachemi Badra Nadia

Colloque National Maintenance - Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Étude de dangers et simulation d’emballement thermique sur un réacteur de synthèse d’ammoniac

Brachemi Badra Nadia, Lounis Zoubida ; Benomar Fatima

Colloque National Maintenance - Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Etude de danger   des bacs de stockage de gaz souterrain par la méthode MAD’S MOZAR

Zoubida lounis, Fatima Benomar, Mohamed Taleb Berouane; Colloque National Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Relation de l’ergonomie de conception avec l’exploitation et la maintenance des nouvelles unités pétrolières et gazières

Auteurs : MATIB Miloud, LOUNIS Zoubida ; Colloque National Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Risk Assessment Indicators of process systems  by using bwo-tie method

Mohamed Taleb Berouane ; Zoubida lounis,; Colloque National Maintenance - Qualité CNMQ-16 ;  IMSI : 16-17 mars 2016, univ oran2

  1. Using fault tree analysis in probabilistic safety assessment;

Mohamed Taleb Berouane ; Zoubida lounis

  1. Sixièmes Journées de Chimie , mars 2015 à EMP-Alger

Allylic oxidation of alcohol over MFI  Zeolites : aniom study,

DEHBI ATALLAH; LOUNIS ZOUBIDA

Premier congrés de physique et chimie quantique CPCQ2015, univ de tizi-ouzou.

  1.  Etude de danger des totchéres de GNL par la méthode HAZOP et ALOHA

Auteurs : Rarbi Omar, Lounis Zoubida

International conference on industrial  safety and environment ICISE 26-27th janvier 2014 at university of Oran.http://www.univ-oran.dz/rencontres/icise13/

  1. Identification des facteurs de risques liés à l’exploitation d’un gazoduc exple : gazoduc ain defla

Auteurs :  Gueddabna chawki , Allouache mohamed , Lounis Zoubida

 International conference on industrial  safety and environment ICISE 26-27th janvier 2014 at university of Oran  http://www.univ-oran.dz/rencontres/icise13/ 

  1. suivi et gestion des déchets industriels au niveau du complexe GL2/Z

Auteurs : Iraten Zakia , Lounis Zoubida

International conference on industrial safety and environment ICISE 26-27th janvier 2014 at university of Oran http://www.univ-oran.dz/rencontres/icise13/

  13.  Le développement durable dans le contexte de la mondialisation conférence internationale

N.Benatia

imsi Université Oran (ICISE 14) 26-27 février 2014 ORANhttp://www.univ-oran.dz/rencontres/icise13/.

14.Mesures de prévention et de   protection d'un parc éolien contre le risque d'incendie,

Khaled Ziane, Soraya Zebirate, Abdelkader Chaker, Zoubida, Lounis ICISE’14, IMSI , Université d’Oran. http://www.univ-oran.dz/rencontres/icise13

15."Monitoring system for manufacturing process: Application to a cardboard factory",

NoriaTari;

Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on , pp 1 – 6, 25-27 May 2015,Tlemcen, Algeria, DOI: 10.1109/CEIT.2015.7233033 Publisher:IEEE

16 “Environmental effects on fatigue strength of composite materials of wind turbine blades”,

K. Ziane, S. Zebirate, A. Zaitri and Z. Lounis

 3rd Euro-Mediterranean Conference on Materials and Renewable Energies, 2-6 Nov 2015, Marrakech-Morocco

17. Predicting the fatigue strength of different composite laminates of wind turbine blades”,

 K. Ziane, S. Zebirate and A. Zaitri Third Euro-Mediterranean Meeting on Functionalized Materials EMM-FM 2015, 9-13 Sep 2015, Hammamet-Tunisia.

18. View Sensor images using colorimetric methods,

Zakarya MIHOUB, Abdelatif HASSINI, Zoubida LOUNIS, Detection of marine oil spills from Sea-viewing Wide Field-of Colloque International sur l’Environnement et le Développement Durable CIEDD 2015,  University Haj Lakhdar of Batna,  4-5 juin 2015.

19. Reception of MSG-SEVIRI Satellite Images,

Abdelatif Hassini, Noureddine Benabadji, Ahmed Hafid Belbachir ,  Conférence Internationale sur les Télécommunications et les TIC (ICTTélécom 2015), 16-17 May, ITO, Oran, Algeria, pp 290-295,  2015.

20.Advanced Very High Resolution Radiometer and Moderate Resolution Imaging Spectroradiometer data receiving and processing System,

Abdelatif Hassini; First International Conference on Advanced Communication Systems and Signal Processing (ICOSIP’2015), pp 699-704,  08-09 November, Tlemcen, Algeria,  2015

21 . About The Impact Of Earthquake For Industrial Safety Management By Remote Sensed Data,

Abdelatif Hassini,  International Conference on Engineering of Industrial Safety and Environment ICISE’14, 26-27 January, IMSI-University of Oran, Oran, 2014.

22. Oil Spill Monitoring And Classification Technique From Envisat-Asar Data,

Zakarya Mihoub, Abdelatif Hassini, International Conference on Engineering of Industrial Safety and Environment ICISE’14, 26-27 January, IMSI-University of Oran, Oran, 2014

http://www.univ-oran1.dz/index.php/24-international-conference-on-engineering-of-industrial-safety-and-environment-icise-13.html

23. Detection and classification of oil slicks using Envisat-ASAR images and MERIS images,

Zakarya Mihoub , Abdelatif Hassini, Internat ional Conference on Industrial Engineer ing and Manufactur ing ICIEM’ 2014,  Batna, Algeria, 11-13 May 2014. Adresse URL : http://iciem2014.univ-batna.dz/

24.  Active forest fires algorithm extraction with msg3-seviri sensor images,

Abdelatif Hassini,

International Conference on Mathematics for the Natural and Life Sciences (ICMNLS'2014) , 9-11 November,  University of Tlemcen, Algeria,  2014.

25., The 1st International Conference on Information and Communication Technologies for Disaster Management ICT-DM’2014. Hassini, Abdelatif, Belbachir, Ahmed Hafid

March, 24-25, Algiers, Page(s):89–92,2014
http://www.ict-dm.org/accepted.php

26 .Conception and realization of a datalogger with SD card for photovoltaique systems

Khadidja Benabed, N.Benabadji, A.S.Boudghene,4th Asia-Africa Sustainable Energy Forum jointly with 6th International Sahara Solar Breeder Workshop,Université des Sciences et de la Technologie d’oran USTO,  Mai 2014.

 

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