http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/5 2026-10-20T16:09:50Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/112/8600 ENVIRONMENT AND SUSTAINABLE DEVELOPMENT ZAITRI, Mokhtar Foreword This course handout is intended for third-year students in Mechanical Construction and Industrial Maintenance programs. It will enable them to acquire the fundamental concepts related to the environment and sustainable development. The first chapter introduces the concept of the environment, followed by a second chapter devoted to the concept of sustainable development. The third chapter deals with the environment and resources, while the fourth addresses the issue of substances. Finally, the fifth and final chapter is dedicated to environmental protection. 2026-09-06T00:00:00Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/112/8585 Electromagnetic Compatibility (EMC) Course Notes HAMEURLAINE, Abdelhadi Learning objectives The main target for this subject is to provide to the students a global vision of all aspects of the electromagnetic compatibility The objectives of an Electromagnetic Compatibility (EMC) course are to train engineers and technicians capable of designing electronic systems that function correctly in their environment without interfering with other equipment. This electromagnetic compatibility (EMC) course is intended for first-year Master's students in electrical engineering and embedded systems electronics. The course notes are structured into four chapters. Currently, the study of electromagnetic compatibility (EMC) in electrical and electronic systems has become of paramount importance. Indeed, all electrical and electronic systems are subject to disturbances originating from stray energy that unintentionally crosses their boundaries; this stray energy is called electromagnetic interference. Electromagnetic interference is becoming increasingly problematic for electrical and/or electronic systems. This interference can also be a source of disruption for neighboring systems or other users of the same system. This gives rise to a discipline called electromagnetic compatibility (EMC), that is, the art of making sensitive electrical systems work in a disturbed electromagnetic environment, but also of reducing the disturbances generated by electrical systems from their design stage. The objective of this course is to explain the basics of electromagnetic compatibility (EMC), and its importance for businesses. An electronic system that functions compatibly with other electronic systems without producing or being susceptible to electromagnetic interference is said to be electromagnetically compatible with its environment. The objective of this course is to recognize and understand Electromagnetic Compatibility (EMC) challenges. EMC challenges occur across numerous critical application areas. Examples of non-compliance include mobile telephones interfering with pacemakers or aircraft avionics, broadcast stations disrupting automotive engine management systems, or switching noise in power converters affecting sensitive control circuits. Key application domains where EMC is essential include Power Electronics, Electrical Transportation (automotive, aviation and maritime), Telecommunication and integrated circuit design. Knowledge of unwanted electromagnetic phenomena, interferences, understand unwanted coupling and to be able to find possible interference mitigation measures. Where understanding the connection between fundamental EM phenomena and real physical situation is the main objective. In this course, you will learn to recognize non-ideal behaviors in electronic components and explore phenomena, shielding strategies, and methods to control conducted EMI. Additionally, you'll gain insights into minimizing crosstalk effects, reducing radiated EMI emissions, and enhancing system immunity. CM and DM EMI issues, along with the role of Transfer Impedance in EMC design, will also be covered. This course provides a comprehensive foundation for navigating the intricacies of EMC in electronic design. Electromagnetic compatibility (EMC) is a discipline that aims to study the problems of electromagnetic coexistence. Its purpose is to:  To study unintentional energy transfers between electrical and/or electronic systems,  To develop processes to limit the electromagnetic interference emitted and thereby comply with current regulations,  To develop processes to increase the immunity of systems to parasites. Electromagnetic compatibility (EMC) is the science that enables the correct functioning of an electrical or electronic system in the presence of other systems in its environment. The work was therefore carried out in two parts:  The first part defines the principle of EMC and its legal framework. A brief review of electronics then helps to understand the difference between electric, magnetic, and electromagnetic fields. We will then be able to understand what electromagnetic interference is and see some methods for verifying the performance of equipment in terms of EMC.  The last part briefly presents the techniques that can be implemented to protect the equipment. 2026-09-06T00:00:00Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/112/8582 Handout of Elasticity GUESMI, Mohamed Context and Motivation The mechanical behavior of solid bodies under external loading constitutes one of the most fundamental and practically significant areas of engineering science. From the analysis of civil infrastructure to the design of aerospace structures, the ability to predict how materials deform, develop internal stresses, and ultimately reach their limits of safe operation is central to the work of structural and mechanical engineers. Elasticity theory provides the rigorous mathematical and physical framework that underpins all such analyses, offering tools to describe reversible deformation, stress distributions, and the recovery of shape upon removal of loads. The present course handout is designed for first-year Master's students in Civil Engineering, specializing in Structures, at Ziane Achour University of Djelfa. It responds to the need for a unified, self-contained, and pedagogically accessible treatment of elasticity theory at an advanced undergraduate and early graduate level. The course spans two theoretical pillars: the mathematical formalism necessary to express field equations in compact and invariant form, and the physical insight required to interpret solutions in terms of real engineering phenomena. Scope and Objectives The primary objective of this course is to equip students with both the analytical and conceptual tools needed to study the mechanical behavior of elastic bodies and structural elements. Students are expected to gain a deep understanding of the interrelated concepts of stress, strain, and constitutive laws, and to develop the capacity to formulate and solve elasticity problems in two and three dimensions. The course also prepares students for the study of advanced structural analysis techniques, in particular the finite element method, which is now indispensable in professional engineering practice. Beyond the acquisition of analytical skills, this course aims to cultivate a rational and critical approach to structural modeling. By working through the derivation of governing equations from first principles, students learn to distinguish between exact solutions and engineering approximations, to recognize the limitations of classical theories, and to apply simplifying assumptions judiciously in practical contexts. This capacity for theoretical rigor combined with engineering judgment is the hallmark of a well-trained structural engineer. Structure of the Course The course is organized into eight chapters, each addressing a distinct but interconnected aspect of elasticity theory. The first chapter introduces the foundational concepts of continuum mechanics, including the classification of elastic materials, Hooke's Law in its elementary form, and the mathematical tools of index notation and tensor algebra. These tools are essential for the compact and invariant expression of field equations throughout the course. Chapters Two and Three are devoted to the theory of stress and strain states, respectively. In Chapter Two, the Cauchy stress tensor is introduced, including its physical interpretation, principal stresses, stress invariants, the differential equations of equilibrium, and Mohr's circle for graphical representation. Chapter Three treats the kinematics of deformation, covering the Green–Lagrange and linearized strain tensors, the small perturbation hypothesis, strain–displacement relations in multiple coordinate systems, principal strains, compatibility equations, and experimental measurement techniques. Chapter Four presents the constitutive laws governing the elastic response of materials, including the generalized Hooke's law in one, two, and three dimensions, the role of Lamé and engineering elastic constants, orthotropy and anisotropy, thermoelastic effects, and the strain energy concept. Chapter Five consolidates these developments into the general equations of linear elasticity, specifically the Navier–Cauchy displacement equations and the Beltrami–Michell stress compatibility equations, together with Saint-Venant's principle. The remaining three chapters shift the focus toward structural applications. Chapter Six develops the theory of plane elasticity, including plane stress and plane strain formulations and the Airy stress function approach for solving two-dimensional problems analytically. Chapter Seven addresses beam bending through both the Euler–Bernoulli and Timoshenko beam theories, comparing their assumptions, governing equations, and ranges of applicability. Chapter Eight introduces the study of thin plates using the Kirchhoff–Love model, covering plate kinematics, constitutive behavior, equilibrium equations, the governing biharmonic equation, and strain energy formulations. Prerequisites and Learning Outcomes This course assumes a solid background in mathematics, particularly in linear algebra, differential equations, and vector calculus, as well as a working knowledge of Strength of Materials at the undergraduate level. Upon successful completion of the course, students will be able to apply index notation and tensor calculus to formulate elasticity problems; analyze stress and strain states including principal values, invariants, and graphical representations; use constitutive laws to relate stress and strain for isotropic, orthotropic, and anisotropic materials; derive and apply the Navier–Cauchy and Beltrami–Michell equations; solve plane elasticity problems using Airy stress functions; analyze beam bending using Euler–Bernoulli and Timoshenko theories; and study the bending behavior of thin elastic plates. Together, these competencies form a comprehensive foundation for graduate-level work in structural mechanics, numerical methods, and advanced material design, positioning students to contribute meaningfully to research and professional practice in civil and structural engineering. 2026-09-06T00:00:00Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/112/8581 Numerical Methods course and solved exercies GUESMI, Mohamed Numerical methods constitute one of the fundamental pillars of modern scientific and engineering computation. In many practical situations, engineering and physical problems cannot be solved using exact analytical methods because of the complexity of the governing equations, irregular geometries, nonlinear behavior, or large amounts of data involved. As a result, numerical techniques provide approximate but highly accurate solutions that enable engineers and scientists to analyze, simulate, and optimize real-world systems efficiently. These methods transform mathematical problems into computational procedures that can be implemented using calculators or computer algorithms, making them indispensable in modern engineering practice. In civil engineering, numerical methods play a critical role in solving problems related to structural analysis, hydraulics, transportation systems, soil mechanics, environmental engineering, and construction management. Engineers frequently encounter systems of equations, interpolation problems, differential equations, optimization tasks, and integration processes that cannot be solved manually or by closed-form mathematical formulas. Numerical methods provide practical techniques to obtain approximate solutions with acceptable accuracy while reducing computational time and effort. Consequently, the study of numerical methods has become essential for engineering students and professionals who aim to solve increasingly complex engineering problems. The development of computers has significantly increased the importance of numerical analysis in engineering and scientific research. Modern engineering software such as MATLAB, ANSYS, SAP2000, ETABS, and finite element analysis tools rely heavily on numerical algorithms to perform simulations and calculations. Numerical methods allow engineers to model the behavior of structures under different loading conditions, estimate fluid flow behavior, predict material performance, and evaluate system stability. Without numerical computation, many modern engineering achievements such as high-rise buildings, bridges, dams, transportation networks, and earthquake-resistant structures would be extremely difficult to design and analyze. One of the most important applications of numerical methods is solving nonlinear equations. Many engineering systems are governed by nonlinear mathematical models where exact analytical solutions do not exist. Techniques such as the Bisection Method, Fixed-Point Iteration Method, and Newton–Raphson Method provide systematic procedures to approximate the roots of nonlinear equations. Each method has its own characteristics in terms of convergence speed, stability, and computational efficiency. Understanding these methods enables engineers to select the most appropriate technique according to the nature of the problem and the desired accuracy. Another major field addressed by numerical methods is the solution of systems of linear equations. In civil engineering applications, systems of equations arise naturally in structural analysis, finite element methods, network analysis, and fluid mechanics. Direct methods such as Gaussian Elimination, Gauss–Jordan Elimination, and LU decomposition are commonly used to obtain exact numerical solutions, while iterative techniques such as Jacobi and Gauss–Seidel methods are suitable for large systems where computational efficiency is important. Matrix analysis also provides the mathematical framework necessary for organizing and solving these systems effectively. Numerical integration and interpolation are also essential topics in numerical analysis. Numerical integration techniques, including the Rectangle Rule, Trapezoidal Rule, Simpson’s Rules, and Gaussian Quadrature, allow engineers to approximate definite integrals when analytical integration is impossible or difficult. These methods are particularly important in applications involving area calculations, load distributions, probability analysis, and differential equations. Interpolation methods such as Lagrange and Newton interpolation provide efficient ways to estimate unknown values between known data points, which is especially useful in experimental analysis, data fitting, and engineering measurements. The numerical solution of differential equations represents another important application of numerical methods. Many physical and engineering phenomena such as heat transfer, fluid flow, structural vibration, and population growth are modeled using ordinary or partial differential equations. Methods such as Euler’s Method and the Runge–Kutta Method enable approximate solutions to these equations when exact solutions are difficult to obtain. These techniques form the basis of many advanced simulation tools used in engineering analysis and scientific research. In addition, numerical methods are widely used in approximation theory, eigenvalue problems, optimization, and computational modeling. Eigenvalues and eigenvectors are fundamental in vibration analysis, structural stability, seismic engineering, and finite element analysis. Approximation techniques such as Taylor series and least squares methods help engineers simplify complex functions and fit mathematical models to experimental data. These tools improve prediction accuracy and support decision-making in engineering design and analysis. The primary objective of studying numerical methods is not only to understand the mathematical procedures behind the algorithms but also to develop the ability to analyze errors, convergence conditions, stability, and computational efficiency. Since numerical methods produce approximate solutions, it is important to evaluate the precision and reliability of the obtained results. Concepts such as truncation error, round-off error, convergence rate, and stopping criteria are therefore essential components of numerical analysis. This course aims to provide students with a solid foundation in the principles and applications of numerical methods in engineering. Through theoretical explanations, solved examples, and practical exercises, students will learn how to formulate engineering problems mathematically and solve them using appropriate numerical techniques. The knowledge acquired from this course will help students develop analytical thinking, computational skills, and problem-solving abilities necessary for advanced engineering studies and professional practice. Overall, numerical methods bridge the gap between mathematical theory and engineering applications. They provide engineers with powerful tools to solve complex problems efficiently and accurately in situations where analytical solutions are not feasible. As engineering systems continue to become more sophisticated, the importance of numerical methods in scientific computation and technological development will continue to grow. 2026-09-06T00:00:00Z