Département génie civil et travaux publics

Permanent URI for this collectionhttps://dspacee.univ-temouchent.edu.dz/handle/123456789/698

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Formulation and evaluation a finite element model for free vibration and buckling behaviours of functionally graded porous (FGP) beams
(Structural Engineering and Mechanics, 2023) Mesbah, Abdelhak; Belabed, Zakaria; Amara, Khaled; Tounsi, Abdelouahed; Bousahla, Abdelmoumen A; Bourada, Fouad
This paper addresses the finite element modeling of functionally graded porous (FGP) beams for free vibration and buckling behaviour cases. The formulated finite element is based on simple and efficient higher order shear deformation theory. The key feature of this formulation is that it deals with Euler-Bernoulli beam theory with only three unknowns without requiring any shear correction factor. In fact, the presented two-noded beam element has three degrees of freedom per node, and the discrete model guarantees the interelement continuity by using both C0 and C1 continuities for the displacement field and its first derivative shape functions, respectively. The weak form of the governing equations is obtained from the Hamilton principle of FGP beams to generate the elementary stiffness, geometric, and mass matrices. By deploying the isoparametric coordinate system, the derived elementary matrices are computed using the Gauss quadrature rule. To overcome the shear-locking phenomenon, the reduced integration technique is used for the shear strain energy. Furthermore, the effect of porosity distribution patterns on the free vibration and buckling behaviours of porous functionally graded beams in various parameters is investigated. The obtained results extend and improve those predicted previously by alternative existing theories, in which significant parameters such as material distribution, geometrical configuration, boundary conditions, and porosity distributions are considered and discussed in detailed numerical comparisons. Determining the impacts of these parameters on natural frequencies and critical buckling loads play an essential role in the manufacturing process of such materials and their related mechanical modeling in aerospace, nuclear, civil, and other structures
Application of the IRAP Method Combined with GIS to Improve Road Safety on New Highway Projects in Algeria
(Periodica Polytechnica Transportation Engineering, 2022) Derras, Abdelhak; Amara, Khaled; Oulha, Ramdane
This article aims to proactively predict high-risk accident areas in a new highway project in terms of its technical and geometric characteristics. The purpose of this study is to provide road project managers with better road safety assessment tools for the vehicle occupant category. The methodology used combines the International Road Assessment Program (IRAP) methodology and the Geographic Information System (GIS). The IRAP program enables the calculation and classification of risks for each 100-meter segment besides their categorization using a star rating; whereas, the GIS is used to map the risks and identify high-risk accident segments. This method was applied to a new highway project of 110 hectometres located in GHAZAOUET in Algeria. The results of the study revealed that this combined method is innovative in more than one way as it is an effective decision-making aid tool for road safety experts. It, therefore, makes it possible to target accident-prone sections in a faster way before carrying out on site road safety inspections. Technically speaking, this study shows that the existence of closely curved radii mixed at traffic speeds exceeding 80 km/h and the presence of road exits are the main factors affecting the safety of vehicle occupants. Speed control; thus, remains one among the cheapest measures to improve safety
Simulation of Spatially Variable Artificial Earthquake: A Case Study of Different Site Conditions
(Modelling in Civil Environmental Engineering, 2022) Derbal, Rachid; Benmansour, Nassima; Djafour, Mustapha
Effect of Tempering Temperature on Hydrogen Desorption of AISI4140: Neural Networks Analysis
(IIETA, 2023) Ourrad, Soumia; Houmadi, Youcef; Aissa Mamoune, Sidi Mohammed; Ziadi, Abdelkader
Over the past ten years, Cr-Mo is used for the manufacture of hydro treating reactors, in order to meet the demand of the refining industry, steelmakers have had to develop CrMo steel, which until then was widely used for the manufacture of devices operating at high temperatures under hydrogen pressure The purpose of this work is to study the susceptibility of steel 42CrMo4 (AISI4041) to hydrogen this steel is a martensitic, that is widely use especially in the hydrogen storage industry, this one is tempered at different temperatures (500, 550, 600, 650 and 700℃), the application of artificial neural networks is proposed to predict the optimum tempering temperature to have a minimal quantity of hydrogen by analyzing the hydrogen concentration parameter that escapes through the desorption phenomenon through time at room temperature the Mathematical model proposed by the neural network method has proved this and this has been validated once more by comparing it with a global statistical study following a coupling between the variables “time / concentration”, “Tempering Temperature / concentration”. In addition, the data used in the model were taken from real experimental data and are arranged in a format of two input parameters: time and tempering temperature, and output parameter is hydrogen concentration. The model was arbitrated using Mean Absolute Error (MAE) and average quadratic error (MSE) and correlation coefficient and model performance values found as 0.0686 and 0.0071, 98.87%, 0.0071 for the training part and 0.0916 and 0.0112, 99.10%, 0.0112 for the test. Finally, the major conclusions of this research show that ANN as powerful computational techniques in modeling of nonlinear systems, can be reliably used in the prediction and correlation to obtain tempering temperature to get lower hydrogen concentration lesser.
Using Artificial Neural Networks Approach to Estimate Compressive Strength for Rubberized Concrete
(Periodica Polytechnica Civil Engineering, 2018) Bachir, Rahali; Sidi Mohammed, Aissa Mamoune; Habib, Trouzine
Artificial neural network (ANN) is a soft computing technique that has been used to predict with accuracy compressive strength known for its high variability of values. ANN is used to develop a model that can predict compressive strength of rubberized concrete where natural aggregate such as fine and coarse aggregate are replaced by crumb rubber and tire chips. The main idea in this study is to build a model using ANN with three parameters that are: water/cement ratio, Superplasticizer, granular squeleton. Furthermore, the data used in the model has been taken from various literatures and are arranged in a format of three input parameters: water/ cement ratio, superplasticizer, granular squeleton that gathers fine aggregates, coarse aggregates, crumb rubber, tire chips and output parameter which is compressive strength. The performance of the model has been judged by using correlation coefficient, mean square error, mean absolute error and adopted as the comparative measures against the experimental results obtained from literature. The results indicate that artificial neural network has the ability to predict compressive strength of rubberized concrete with an acceptable degree of accuracy using new parameters.
Treated Soil by Cement to Produce Non-Fired Roof
(Algerian Journal of Research and Technology, 2022) Sadek, Deboucha; Sidi Mohammed, Aissa Mamoune; Ziani, Hocine
In demand to minimize the environmental impacts produced by building materials, the opportunity of using cement stabilized soil tiles has been evaluated. Fired clay roofing tiles are one of the most widely used materials in Algerian constructions, whichare produced by firing methods with vast energy consumption and environmental pollution, which can be solved effectively by developing non-firing materials. In this study, non-fired tiles were prepared by mixing soil with different percentages of cement. Laboratory experiments including density, water absorption, porosity, compressive strength, flexural strength and linear shrinkage were conducted on stabilized soil tiles made with three contents of cement (5%, 10% and 15%).The strength values have exceeded the minimum standard requirement for roof tiles (800-1250 kPa) with low water absorption, porosity and lower shrinkage in most samples compared to fired clay tiles.The results obtained made it possible to conclude the possibility of producing non-fired tiles.
The Impact of Mineral Salts and Milk of Lime on Physicochemical Parameters and Swelling :( Case of Clays of Tlemcen Algeria)
(Journal of Civil Engineering Research, 2012) Zeyneb, Belabbaci; Sidi Mohamed, Aissa Mamoune; Abdelmalek, Bekkouche
Clay soil is the foundation for many buildings. Some families have the characteristic to be swelling or shrink. However, construction on this type of soil requires a good companion for the recognition of identification and characterization of their swelling potential. In this work we are interested by two aspects: -The first is on the tests recommended for the identification of four expansive soils in the region of Tlemcen (Algeria); -The second is to assess the influence of the addition of milk of lime and mineral salts (KCl Potassium Chloride, Magnesium Chloride MgCl2) at different percentages on the physico-chemical parameters, the swelling potential of these soils from correlations approximate estimates. The results obtained show that stabilization by the addition of milk of lime modifies the physico-chemical characteristics of soil and the results are quite satisfactory in significantly reducing the phenomena of swelling, as regards stabiliztion with milk of lime we notethat the salt concentration has little influence on the potential of swelling and it differs from one another salt.
Stabilization of Expansive Soils with Milk of Lime: the Case of Clays of Tlemcen, Algeria
(2012) Zineb, Belabbaci; Sidi Mohamed, Aissa Mamoune; Abdelmalek, Bekkouche
Clay soil is the foundation for many buildings. Some families have the characteristic to be swelling or shrink. However, construction on this type of soil requires a good companion for the recognition of identification and characterization of their swelling potential. In this work the stabilization by the addition of milk of lime is used. This use is explained by the fact that this technique is that which provides the maximum benefit, particularly regarding the cost and methods of executions. In this work we are interested by two aspects: - The first is on the tests recommended for the identification of four expansive soils in the region of Tlemcen in the north western Algeria. - The second is to assess the influence of the addition of milk of lime has different percentages on the physico-chemical Compression shear strength, characteristics of compaction versus, swelling pressure and swelling potential of these soils. This study shows that the stabilization by the addition of lime milk modifies the physicochemical characteristics of the soil, Compression shear strength and the results are quite satisfactory in significantly reducing the phenomena of swelling.
PREDICTION OF SWELLING PARAMETERS OF TWO CLAYEY SOILS FROM ALGERIA USING ARTIFICIAL NEURAL NETWORKS
(Mathematical Modelling in Civil Engineering, 2018) FATIMA ZOHRA, MEROUANE; SIDI MOHAMED, AISSA MAMOUNE
The phenomenon of swelling is one of the more complicated geotechnical problems that the engineer have to deal with. However, its quantification is essential for the design of structures and various methods can be applied to the identification of this phenomenon. Some, such as mineralogical identification and direct measurements of swelling, are more or less long and require very specific equipment. However, there are other methods that offer the advantage of being relatively fast and lesser expensive: they are based on soil mechanics parameters. Using these parameters, several authors have introduced soil swelling prediction models, mostly in the form of classifications and empirical formulas. This work concerns in the first part the identification and classification of the swelling potential of two clays located in north-western Algeria. Followed by a statistical analysis carried out to test the reliability of the observations for the estimation of the pressure and the swelling amplitude using a multiple linear regression. A second part is devoted to the development of a prediction method by artificial neural networks allowing the estimation of swelling parameters (pressure and amplitude) by minimizing the difference between the experimental measurements and the numerical results. Modeling by artificial neural networks is of great interest in the field of prediction. The application of two networks makes it possible to obtain good forecasts of the swelling parameters.
Prediction of Corrosion Potential by Generalized Artificial Neural Networks Method
(Canadian Journal of Civil Engineering, 2021-09-22) Wafa Nor el Houda, Cherifi; Houmadi, Youcef; Sidi Mohammed, Aissa Mamoune
Reinforcement corrosion is one of the main phenomena determining the life of the structure. It can be followed by methods based on several indicators of the probability of corrosion. Some of these measures are more or less long and require very specific equipment. In recent years, several non-destructive tests have been developed to be relatively fast and less costly based on the measurement of corrosion potential. In this study, a statistical analysis is performed using a multiple linear regression, to test the reliability of the data obtained by experimental measurement of the corrosion potential. Artificial neural networks (ANN) are then used to develop a model to predict the corrosion potential of reinforcement in a concrete or mortar. The results indicate that the artificial neural network can predict corrosion potential with an acceptable degree of accuracy.
Modeling of the Behavior of Expansive Soils
(Jordan Journal of Civil Engineering, 2011) S.M, Aissa Mamoune; Bekkouche, A
In the preliminary reconnaissance phase and once the swelling of soil is suspected, it is possible to obtain an estimation of swelling parameters (amplitude and pressure) using numerous rheological models proposed in the literature. These models relate the parameters of swelling to the geotechnical parameters determined from mechanical tests. The analysis of the behavior of clays is conducted by numerical simulation tests of compression and swelling by using the oedometer. This analysis is conducted using the software CASTEM2000 team from CEA-France. This simulation allows-among others-to develop a predictive procedure for estimating the parameters of swelling by the use of constitutive equations of Cam-Clay and Alonso. It should be noted that different simulations are performed; those using oedometer tests by the CamClay model, and Alonso and free swell tests by the Alonso model. The results of this work show that the compressibility has been correctly simulated by both models. The phase of swelling has been simulated by the model of Alonso as the Cam-Clay model can simulate it. It should be noted that the Alonso model underestimates very fluffy swelling soils.
Geotechnical Risks Map of Saïda City, Algeria
(2010) Sidi Mohammed, Aissa Mamoune; Youcef, Houmadi; Khalil, Bellakhdar
The urban expansion and the increase in population led the urbanization to use the spaces "called at risks". The integration and the treatment of ground’s movements constitute an important characteristic of the equilibrium established by nature. In the Saïda town (Algeria), many projects built on grounds with problems showed signs of degradations such as cracks in structures. These degradations led to the total destruction of the building. The principal causes of these disasters are: the nature of the expansive nature of soils and landslides, disaster phenomenon not considered in the first study of these constructions. The damage also touched road embankments, highways and foundations. In order to solve these problems, it was necessary to propose a geotechnical and risks map for the ZHUN EAST (ESSALAM city, Saïda), city which includes several yard of the soil with problems, using the geographical information systems (GIS/MapInfo). These tools enable us to express the perception of space and data processing, and consequently the cartography is carried out in an optimal way. These geotechnical and risks maps have a great part of importance in all levels of a study as information, working paper, alert, and especially is a tool for the decision-making aid, by expressing tendencies and orientations. They enabled us to give a field representing the active and potential movements with a hierarchy of risks to guide the developer and the engineer
ETUDE DE COMPORTEMENT PHYSIQUE ET MECANIQUE DES MORTIERS A BASE DE DECHET DE BRIQUE
(2020) S, Benamar; Z.A, Kameche; Z.A., Kameche; S.M, Aissa Mamoune
Ce travail de recherche vise à apporter une contribution à la valorisation des déchets de brique en tant qu’addition minérale dans la composition des mortiers ordinaires. Il s’agit d'étudier l’influence de la poudre de brique sur les caractéristiques physico-mécaniques et sur la durabilité du mortier à court et long terme. Dans ce but, un intérêt majeur a été donné à l'influence de différents dosages de déchets de brique sous forme de poudre (ajouté au ciment par substitution (10, 20 et 30 %)) avec deux rapports E/L (0.45 et 0.5 ) sur la maniabilité, la résistance à la compression, le coefficient d'absorption capillaire et la résistance aux attaques sulfuriques des mortiers. Pour les différents dosages en poudre de brique, des relations mathématiques ont pu être données dans ce travail de recherche entre la résistance à la compression du matériau et son coefficient de sorptivité.
ELABORATION OF THE GEOTECHNICAL MAP OF AIN TEMOUCHENT-CITY (ALGERIA)
(Mathematical Modelling in Civil Engineering, 2022) Bénamar, AMRAOUI; Youcef, HOUMADI; Sidi Mohammed, AISSA MAMOUNE
The region of Ain-Témouchent is a seismic zone; its land is predominately agricultural and shows complex structures, with many problems linked to the development of urbanized areas; these problems are directly or indirectly related to the geotechnical conditions of soil. The purpose of the present research is to build a database from the different measurements carried out in the region, and to conduct tests in places where information is not available in order to consider the entire perimeter of the study area. Once the database is completed, an analysis of all the data will be carried out using a numerical tool in order to establish the geotechnical map of the city. This map will certainly allow all decision-makers and designers to have clear and precise information when proposing or designing new structures. The geotechnical mapping of Ain-Temouchent soils based on 178 observations divided these soils into ten groups. Eight of them according to the Unified Soil Classification System (USCS): CH (High plasticity clay), CL (Low plasticity clay), MH (High plasticity silt), ML (Low plasticity silt), SC (clayey sand), SM (Silty sand), GM (Silty gravel with sand), OH (organic soil of high plasticity). The other two groups are rocky soils: basalts (hard volcanic rock with high resistance), and limestone turf (sedimentary rock)
Effects of Ceramic Waste, Marble Dust, and Cement in Pavement Sub-base Layer
(Springer Nature Switzerland, 2020) Sadek, Deboucha; Sidi mohammed, Aissa Mamoune; Yacine, Sail; Hocine, Ziani
In this work, the effects of ceramic waste (CW), marble dust (MD), and cement on the performance of road sub-base layer characteristics were investigated. Industries routinely produce CW and MD, and the disposal of these types of waste is a major environmental problem in Algeria and worldwide. Thus, the recycling of these waste materials requires the development of long-term solutions. The goal of the current work is to estimate the effects of CW, MD, and ordinary Portland cement (OPC) on the soil of the sub-base layer improving its engineering properties, such as dry density and bearing capacity as measured by the California Bearing Ration (CBR). We planned different admixtures of soil containing 5, 10, and 15% CW, and 2, 3, 4, and 5% MD, and 1.5, and 2% OPC by dry weight. The attainment of sub-base materials was investigated with soil–CW only, soil–MD only, soil– OPC only and soil–CW–OPC. The results showed that the CBR values of sub-base materials increase with the addition of recycled wastes and OPC. The CBR values of mixtures with OPC only and OPC with CW were greater than that of CW and MD only. This work offers the possibility of improving the sub-base layer by the addition of CW, MD, and OPC to obtain greater economic and environmental sustainability through better resource utilization.

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