This document provides an overview of the finite element analysis software ABAQUS. It describes ABAQUS's capabilities including static, dynamic, heat transfer and other analysis types. It also outlines the basic components of an ABAQUS model including elements, materials and procedures. Examples of element types, analysis procedures and example applications are also presented to illustrate ABAQUS's usage and capabilities.
This document provides an introduction to using the finite element method to analyze beam structures. It discusses the basic theory behind discretizing beams into finite elements, including defining the element geometry, determining the shape functions, and assembling the element stiffness matrix. It then provides examples of using the method to calculate deflections and rotations of beams under different loading conditions. Tutorial problems are included to have students apply the concepts by modeling beam problems in Abaqus finite element software.
Finite Element Analysis of Truss StructuresMahdi Damghani
The document discusses the finite element method (FEM) for analyzing truss structures. It begins with objectives of becoming familiar with FEM concepts for truss elements like stiffness matrices and assembling the global stiffness matrix. It then covers derivation of the element stiffness matrix in local coordinates, transforming it to global coordinates, and assembling the global stiffness matrix of the overall structure from the element matrices. Strain and stress calculations are also briefly discussed. Finally, an example problem is presented to demonstrate the FEM process for a simple truss structure.
The document provides an introduction to the Finite Element Method (FEM). It discusses the history and development of FEM from the 1950s to the present. It outlines the basic concepts of FEM including discretization of the domain into finite elements connected at nodes, and the approximation of displacements within each element. The document also discusses minimum potential energy theory, which is the variational principle that FEM is based on. Example problems and a tutorial are mentioned. Advantages of FEM include its ability to model complex geometries and loading, while disadvantages include increased computational time and memory requirements compared to other methods.
The document discusses various numerical methods for analyzing mechanical components under applied loads, including the finite element method. It describes weighted residual methods like the Galerkin method and collocation method which approximate solutions by minimizing residuals. The variational or Rayleigh-Ritz method selects displacement fields to minimize total potential energy. The finite element method divides a structure into small elements and applies these methods to obtain approximate solutions for displacements and stresses at discrete points.
This document outlines the use of the finite element method to analyze beam problems. It discusses:
1) Discretizing beams into elements, representing distributed loads as equivalent nodal forces, and assembling the global stiffness matrix.
2) Solving for unknown displacements and rotations using the reduced stiffness matrix after applying boundary conditions.
3) Calculating the effective global nodal forces to determine support reactions and internal forces.
Several examples are provided to demonstrate solving beam problems with different loading conditions using this finite element process in 3 steps.
Non linear Contact analysis in Ansys analysis softwareShreyas Pandit
When there is contact in any part or couple of parts, while software analysis it is required to give some input details so that analysis can be carried in most appropriate manner, hence this journal paper gives an case for contact analysis of multi range load cell
Finite Element Analysis Lecture Notes Anna University 2013 Regulation NAVEEN UTHANDI
One of the most Simple and Interesting topics in Engineering is FEA. My work will guide average students to score good marks. I have given you full package which includes 2 Marks and Question Banks of previous year. All the Best
For Guidance : Comment Below Happy to Teach and Learn along with you guys
This document provides an overview of the finite element analysis software ABAQUS. It describes ABAQUS's capabilities including static, dynamic, heat transfer and other analysis types. It also outlines the basic components of an ABAQUS model including elements, materials and procedures. Examples of element types, analysis procedures and example applications are also presented to illustrate ABAQUS's usage and capabilities.
This document provides an introduction to using the finite element method to analyze beam structures. It discusses the basic theory behind discretizing beams into finite elements, including defining the element geometry, determining the shape functions, and assembling the element stiffness matrix. It then provides examples of using the method to calculate deflections and rotations of beams under different loading conditions. Tutorial problems are included to have students apply the concepts by modeling beam problems in Abaqus finite element software.
Finite Element Analysis of Truss StructuresMahdi Damghani
The document discusses the finite element method (FEM) for analyzing truss structures. It begins with objectives of becoming familiar with FEM concepts for truss elements like stiffness matrices and assembling the global stiffness matrix. It then covers derivation of the element stiffness matrix in local coordinates, transforming it to global coordinates, and assembling the global stiffness matrix of the overall structure from the element matrices. Strain and stress calculations are also briefly discussed. Finally, an example problem is presented to demonstrate the FEM process for a simple truss structure.
The document provides an introduction to the Finite Element Method (FEM). It discusses the history and development of FEM from the 1950s to the present. It outlines the basic concepts of FEM including discretization of the domain into finite elements connected at nodes, and the approximation of displacements within each element. The document also discusses minimum potential energy theory, which is the variational principle that FEM is based on. Example problems and a tutorial are mentioned. Advantages of FEM include its ability to model complex geometries and loading, while disadvantages include increased computational time and memory requirements compared to other methods.
The document discusses various numerical methods for analyzing mechanical components under applied loads, including the finite element method. It describes weighted residual methods like the Galerkin method and collocation method which approximate solutions by minimizing residuals. The variational or Rayleigh-Ritz method selects displacement fields to minimize total potential energy. The finite element method divides a structure into small elements and applies these methods to obtain approximate solutions for displacements and stresses at discrete points.
This document outlines the use of the finite element method to analyze beam problems. It discusses:
1) Discretizing beams into elements, representing distributed loads as equivalent nodal forces, and assembling the global stiffness matrix.
2) Solving for unknown displacements and rotations using the reduced stiffness matrix after applying boundary conditions.
3) Calculating the effective global nodal forces to determine support reactions and internal forces.
Several examples are provided to demonstrate solving beam problems with different loading conditions using this finite element process in 3 steps.
Non linear Contact analysis in Ansys analysis softwareShreyas Pandit
When there is contact in any part or couple of parts, while software analysis it is required to give some input details so that analysis can be carried in most appropriate manner, hence this journal paper gives an case for contact analysis of multi range load cell
Finite Element Analysis Lecture Notes Anna University 2013 Regulation NAVEEN UTHANDI
One of the most Simple and Interesting topics in Engineering is FEA. My work will guide average students to score good marks. I have given you full package which includes 2 Marks and Question Banks of previous year. All the Best
For Guidance : Comment Below Happy to Teach and Learn along with you guys
Finite Element Method (FEM) is a numerical method to obtain an approximate solution for the problems related to engineering and mathematical physics. Copy the link given below and paste it in new browser window to get more information on Finite Element Method (FEM):- http://www.transtutors.com/homework-help/mechanical-engineering/finite-element-method.aspx
A short introduction presentation about the Basics of Finite Element Analysis. This presentation mainly represents the applications of FEA in the real time world.
This document provides an introduction to finite element analysis and stiffness matrices. It discusses modeling a linear spring and elastic bar as finite elements. The key points are:
1. The stiffness matrix contains information about an element's resistance to deformation from applied loads. It relates nodal displacements and forces for the element.
2. A linear spring and elastic bar can each be modeled as a finite element with a 2x2 stiffness matrix. Their matrices are derived from relating nodal displacements to forces based on Hooke's law and the element's geometry.
3. A system of multiple elements is modeled by assembling the individual element stiffness matrices into a global system stiffness matrix, relating total nodal displacements and forces
Overview of Direct Analysis Method of Design forRyan Brotherson
The document provides an overview of the direct analysis method for structural stability design according to the AISC 360 specification. It discusses changes in the specification's requirements, limitations of previous methods like the effective length method, and how direct analysis addresses stability factors more directly. Direct analysis requires determining required member strengths from a second-order analysis with notional loads and reduced stiffnesses, and checking these against available strengths calculated without effective length factors. The document explains how software tools like STAAD and RAM can implement aspects of direct analysis, though some use approximate methods rather than full second-order analysis.
Structural engineering iii- Dr. Iftekhar Anam
Joint Displacements and Forces,Assembly of Stiffness Matrix and Load Vector of a Truss,Stiffness Matrix for 2-Dimensional Frame Members in the Local Axes System,Transformation of Stiffness Matrix from Local to Global Axes,Stiffness Method for 2-D Frame neglecting Axial Deformations,Problems on Stiffness Method for Beams/Frames,Assembly of Stiffness Matrix and Load Vector of a Three-Dimensional Truss,Calculation of Degree of Kinematic Indeterminacy (Doki)
Determine the doki (i.e., size of the stiffness matrix) for the structures shown below,Material Nonlinearity and Plastic Moment,
http://www.uap-bd.edu/ce/anam/
The document provides an introduction to finite element analysis. It discusses the need for computational methods to solve problems involving complex geometries and boundary conditions that cannot be solved through closed-form analytical methods. The finite element method is introduced as a numerical technique that involves discretizing a continuous domain into discrete subdomains called elements, and approximating variations in dependent variables within each element. This allows setting up algebraic equations that can be solved to approximate the continuous solution. Advantages of the finite element method include its ability to model complex shapes and behaviors, and refine solutions through mesh refinement. Basic concepts such as element types, discretization, and derivation of element equations are described.
Truss Analysis using Finite Element method pptanujajape
This document discusses the finite element analysis of trusses. It explains that truss elements can be determinate or indeterminate, and that joint displacements are unknown variables. It presents the formulation of the stiffness matrix for a truss element, including the nodal displacement vector and elemental stiffness matrix. It also discusses the transformation matrix used to relate local and global coordinate systems for truss elements, and how to assemble the global stiffness matrix for a truss from the elemental stiffness matrices.
The document discusses various planar finite elements for structural analysis. It begins by describing the constant strain triangle (CST) element, which assumes constant strain within the element. The document then discusses the linear strain triangle (LST) element and bilinear quadratic (Q4) element, noting issues with modeling bending. An improved bilinear quadratic (Q6) element is presented to better model bending. The document also discusses applying loads via equivalent nodal loads and evaluating stresses in different coordinate systems.
The document provides an introduction to the finite element method (FEM). It discusses how FEM can be used to obtain approximate solutions to boundary value problems in engineering. It outlines the general steps involved, including preprocessing (defining the model), solution/processing (computing unknown values), and postprocessing (analyzing results). Examples of FEM applications include structural analysis, fluid flow, heat transfer, and more. The key aspects of FEM include discretizing the domain into simple elements, choosing shape functions to approximate variations within each element, and assembling the element equations into a global system of equations to solve.
This document provides an overview of a course on the finite element method. The course objectives are for students to learn how to write simple programs to solve problems using FEM. Assessment includes assignments, quizzes, a course project, midterm exam, and final exam. Fundamental agreements include electronic homework submission and using MATLAB or Mathematica. References on FEM are also provided. The document outlines numerical methods for solving boundary value problems and introduces weighted residual methods like the collocation method, subdomain method, and Galerkin method.
This presentation discusses the shape function of axisymmetric elements used in finite element analysis. Axisymmetric elements are 2D elements that can model objects that are symmetric about an axis, like pressure vessels. They have advantages over full 3D modeling like smaller model size, faster computation, and easier post-processing. The presentation covers how axisymmetric elements are defined based on the radial, circumferential and longitudinal directions. It also derives the element stiffness matrix which relates displacements to forces and describes the shape functions which define element deformation based on node positions. Examples of applying axisymmetric elements to problems like pressure vessels and engine parts are provided.
1. A truss is a rigid structure composed of straight members connected at joints that is statically determinate.
2. Trusses can be perfect, deficient, or redundant depending on the number of members compared to the number of joints. Perfect trusses have just enough members, deficient trusses have too few, and redundant trusses have excess members.
3. The document discusses the definition of a truss, different types of trusses, assumptions made in truss analysis, analysis methods including the method of joints and method of sections, and includes examples of solving for member forces using these methods.
This document outlines the contents and concepts of a course on finite element analysis. It covers fundamental concepts like discretization, matrix algebra, and weighted residual methods. It also covers one-dimensional problems involving bars, beams, and trusses. Shape functions, stiffness matrices, and finite element equations are derived for one-dimensional elements. Two-dimensional problems involving plane stress, strain, and heat transfer are also introduced. Numerical integration techniques are discussed. A variety of finite element applications are listed including structural and non-structural problems.
The document provides an introduction to the finite element method (FEM). It discusses that FEM is a numerical technique used to approximate solutions to boundary value problems defined by partial differential equations. It can handle complex geometries, loadings, and material properties that have no analytical solution. The document outlines the historical development of FEM and describes different numerical methods like the finite difference method, variational method, and weighted residual methods that FEM evolved from. It also discusses key concepts in FEM like discretization into elements, node points, and interpolation functions.
FEM: Introduction and Weighted Residual MethodsMohammad Tawfik
What are weighted residual methods?
How to apply Galerkin Method to the finite element model?
#WikiCourses #Num001
https://wikicourses.wikispaces.com/TopicX+Approximate+Methods+-+Weighted+Residual+Methods
This document contains lecture notes on the finite element method from Dr. Atteshamuddin S. Sayyad. It covers the fundamentals of elasticity theory including assumptions, basic terms like stresses and strains, equilibrium equations, and strain-displacement relationships. The notes provide definitions and equations for normal and shear stresses and strains, the state of stress and strain at a point, and developing the governing equations of equilibrium in three dimensions from an infinitesimal element.
Application of Boundary Conditions to Obtain Better FEA ResultsKee H. Lee, P.Eng.
This document discusses applying proper boundary conditions in finite element analysis to obtain better results. It covers:
1) Typical boundary conditions like supports, connections, and structural symmetry to model structures accurately
2) Examples show boundary conditions significantly affect results like displacements and moments
3) Nonlinear behaviors from large deformations, materials, and contact require special boundary conditions in analysis
The document outlines a 16-week course on the finite element method (FEM). It introduces FEM and its applications in heat transfer, fluid mechanics, and solid mechanics. Over the course, students will learn how to formulate the finite element equation, create elements to model problems, and solve problems using FEM software. Assessment includes homework, programming tests, a midterm, and a final exam.
The document contains data and results from a finite element analysis case study involving two cases. MATLAB software was used to solve the cases. The summary includes:
1) Tables of node coordinate and element connectivity data are provided for Cases 1 and 2, along with the results of the finite element analysis showing displacements and stresses.
2) Questions are posed about how renumbering the nodes would affect the structural stiffness matrix and computational efficiency.
3) The algorithm used by the skyline function to calculate half bandwidths is described.
FINITE ELEMENT METHOD (FEM) coding using C PROGRAMMING Akash Gupta
FINITE ELEMENT METHOD ANALYSIS OF A BICYCLE STRUCTURE (WHICH IS CONSIDER AS A FRAME ELEMENT) USING C PROGRAMMING AND VALIDATING OF RESULT WITH ANSYS APDL
Finite Element Method (FEM) is a numerical method to obtain an approximate solution for the problems related to engineering and mathematical physics. Copy the link given below and paste it in new browser window to get more information on Finite Element Method (FEM):- http://www.transtutors.com/homework-help/mechanical-engineering/finite-element-method.aspx
A short introduction presentation about the Basics of Finite Element Analysis. This presentation mainly represents the applications of FEA in the real time world.
This document provides an introduction to finite element analysis and stiffness matrices. It discusses modeling a linear spring and elastic bar as finite elements. The key points are:
1. The stiffness matrix contains information about an element's resistance to deformation from applied loads. It relates nodal displacements and forces for the element.
2. A linear spring and elastic bar can each be modeled as a finite element with a 2x2 stiffness matrix. Their matrices are derived from relating nodal displacements to forces based on Hooke's law and the element's geometry.
3. A system of multiple elements is modeled by assembling the individual element stiffness matrices into a global system stiffness matrix, relating total nodal displacements and forces
Overview of Direct Analysis Method of Design forRyan Brotherson
The document provides an overview of the direct analysis method for structural stability design according to the AISC 360 specification. It discusses changes in the specification's requirements, limitations of previous methods like the effective length method, and how direct analysis addresses stability factors more directly. Direct analysis requires determining required member strengths from a second-order analysis with notional loads and reduced stiffnesses, and checking these against available strengths calculated without effective length factors. The document explains how software tools like STAAD and RAM can implement aspects of direct analysis, though some use approximate methods rather than full second-order analysis.
Structural engineering iii- Dr. Iftekhar Anam
Joint Displacements and Forces,Assembly of Stiffness Matrix and Load Vector of a Truss,Stiffness Matrix for 2-Dimensional Frame Members in the Local Axes System,Transformation of Stiffness Matrix from Local to Global Axes,Stiffness Method for 2-D Frame neglecting Axial Deformations,Problems on Stiffness Method for Beams/Frames,Assembly of Stiffness Matrix and Load Vector of a Three-Dimensional Truss,Calculation of Degree of Kinematic Indeterminacy (Doki)
Determine the doki (i.e., size of the stiffness matrix) for the structures shown below,Material Nonlinearity and Plastic Moment,
http://www.uap-bd.edu/ce/anam/
The document provides an introduction to finite element analysis. It discusses the need for computational methods to solve problems involving complex geometries and boundary conditions that cannot be solved through closed-form analytical methods. The finite element method is introduced as a numerical technique that involves discretizing a continuous domain into discrete subdomains called elements, and approximating variations in dependent variables within each element. This allows setting up algebraic equations that can be solved to approximate the continuous solution. Advantages of the finite element method include its ability to model complex shapes and behaviors, and refine solutions through mesh refinement. Basic concepts such as element types, discretization, and derivation of element equations are described.
Truss Analysis using Finite Element method pptanujajape
This document discusses the finite element analysis of trusses. It explains that truss elements can be determinate or indeterminate, and that joint displacements are unknown variables. It presents the formulation of the stiffness matrix for a truss element, including the nodal displacement vector and elemental stiffness matrix. It also discusses the transformation matrix used to relate local and global coordinate systems for truss elements, and how to assemble the global stiffness matrix for a truss from the elemental stiffness matrices.
The document discusses various planar finite elements for structural analysis. It begins by describing the constant strain triangle (CST) element, which assumes constant strain within the element. The document then discusses the linear strain triangle (LST) element and bilinear quadratic (Q4) element, noting issues with modeling bending. An improved bilinear quadratic (Q6) element is presented to better model bending. The document also discusses applying loads via equivalent nodal loads and evaluating stresses in different coordinate systems.
The document provides an introduction to the finite element method (FEM). It discusses how FEM can be used to obtain approximate solutions to boundary value problems in engineering. It outlines the general steps involved, including preprocessing (defining the model), solution/processing (computing unknown values), and postprocessing (analyzing results). Examples of FEM applications include structural analysis, fluid flow, heat transfer, and more. The key aspects of FEM include discretizing the domain into simple elements, choosing shape functions to approximate variations within each element, and assembling the element equations into a global system of equations to solve.
This document provides an overview of a course on the finite element method. The course objectives are for students to learn how to write simple programs to solve problems using FEM. Assessment includes assignments, quizzes, a course project, midterm exam, and final exam. Fundamental agreements include electronic homework submission and using MATLAB or Mathematica. References on FEM are also provided. The document outlines numerical methods for solving boundary value problems and introduces weighted residual methods like the collocation method, subdomain method, and Galerkin method.
This presentation discusses the shape function of axisymmetric elements used in finite element analysis. Axisymmetric elements are 2D elements that can model objects that are symmetric about an axis, like pressure vessels. They have advantages over full 3D modeling like smaller model size, faster computation, and easier post-processing. The presentation covers how axisymmetric elements are defined based on the radial, circumferential and longitudinal directions. It also derives the element stiffness matrix which relates displacements to forces and describes the shape functions which define element deformation based on node positions. Examples of applying axisymmetric elements to problems like pressure vessels and engine parts are provided.
1. A truss is a rigid structure composed of straight members connected at joints that is statically determinate.
2. Trusses can be perfect, deficient, or redundant depending on the number of members compared to the number of joints. Perfect trusses have just enough members, deficient trusses have too few, and redundant trusses have excess members.
3. The document discusses the definition of a truss, different types of trusses, assumptions made in truss analysis, analysis methods including the method of joints and method of sections, and includes examples of solving for member forces using these methods.
This document outlines the contents and concepts of a course on finite element analysis. It covers fundamental concepts like discretization, matrix algebra, and weighted residual methods. It also covers one-dimensional problems involving bars, beams, and trusses. Shape functions, stiffness matrices, and finite element equations are derived for one-dimensional elements. Two-dimensional problems involving plane stress, strain, and heat transfer are also introduced. Numerical integration techniques are discussed. A variety of finite element applications are listed including structural and non-structural problems.
The document provides an introduction to the finite element method (FEM). It discusses that FEM is a numerical technique used to approximate solutions to boundary value problems defined by partial differential equations. It can handle complex geometries, loadings, and material properties that have no analytical solution. The document outlines the historical development of FEM and describes different numerical methods like the finite difference method, variational method, and weighted residual methods that FEM evolved from. It also discusses key concepts in FEM like discretization into elements, node points, and interpolation functions.
FEM: Introduction and Weighted Residual MethodsMohammad Tawfik
What are weighted residual methods?
How to apply Galerkin Method to the finite element model?
#WikiCourses #Num001
https://wikicourses.wikispaces.com/TopicX+Approximate+Methods+-+Weighted+Residual+Methods
This document contains lecture notes on the finite element method from Dr. Atteshamuddin S. Sayyad. It covers the fundamentals of elasticity theory including assumptions, basic terms like stresses and strains, equilibrium equations, and strain-displacement relationships. The notes provide definitions and equations for normal and shear stresses and strains, the state of stress and strain at a point, and developing the governing equations of equilibrium in three dimensions from an infinitesimal element.
Application of Boundary Conditions to Obtain Better FEA ResultsKee H. Lee, P.Eng.
This document discusses applying proper boundary conditions in finite element analysis to obtain better results. It covers:
1) Typical boundary conditions like supports, connections, and structural symmetry to model structures accurately
2) Examples show boundary conditions significantly affect results like displacements and moments
3) Nonlinear behaviors from large deformations, materials, and contact require special boundary conditions in analysis
The document outlines a 16-week course on the finite element method (FEM). It introduces FEM and its applications in heat transfer, fluid mechanics, and solid mechanics. Over the course, students will learn how to formulate the finite element equation, create elements to model problems, and solve problems using FEM software. Assessment includes homework, programming tests, a midterm, and a final exam.
The document contains data and results from a finite element analysis case study involving two cases. MATLAB software was used to solve the cases. The summary includes:
1) Tables of node coordinate and element connectivity data are provided for Cases 1 and 2, along with the results of the finite element analysis showing displacements and stresses.
2) Questions are posed about how renumbering the nodes would affect the structural stiffness matrix and computational efficiency.
3) The algorithm used by the skyline function to calculate half bandwidths is described.
FINITE ELEMENT METHOD (FEM) coding using C PROGRAMMING Akash Gupta
FINITE ELEMENT METHOD ANALYSIS OF A BICYCLE STRUCTURE (WHICH IS CONSIDER AS A FRAME ELEMENT) USING C PROGRAMMING AND VALIDATING OF RESULT WITH ANSYS APDL
constant strain triangular which is used in analysis of triangular in finite element method with the help of shape function and natural coordinate system.
This document contains two-mark questions and answers related to finite element analysis (FEA). It covers topics such as:
- The basic concepts of finite elements, nodes, discretization, and boundary conditions.
- The three phases of FEA: preprocessing, analysis, and post-processing.
- 1D and 2D elements, shape functions, and stiffness matrices.
- Solution methods like the stiffness/displacement method and minimum potential energy principles.
- Classifications of coordinates and loading types including body forces, tractions, and point loads.
It provides concise definitions and explanations of key FEA concepts in a question-answer format.
This document contains formulas and equations related to finite element analysis (FEA) for one-dimensional structural and heat transfer problems. It includes formulas for weighted residual methods, Ritz method, beam deflection and stress, springs, one-dimensional bars and frames, and one-dimensional heat transfer through walls and fins. Displacement functions, stiffness matrices, thermal loads, and conduction/convection equations are provided for linear and quadratic elements undergoing static structural and thermal analysis.
Parametric Sensitivity Analysis of a Mathematical Model of Two Interacting Po...IOSR Journals
Experts in the mathematical modeling for two interacting technologies have observed the different contributions between the intraspecific and the interspecific coefficients in conjunction with the starting population sizes and the trading period. In this complex multi-parameter system of competing technologies which evolve over time, we have used the numerical method of mathematical norms to measure the sensitivity values of the intraspecific coefficients b and e, the starting population sizes of the two interacting technologies and the duration of trading. We have observed that the two intraspecific coefficients can be considered as most sensitive parameter while the starting populations are called least sensitive. We will expect these contributions to provide useful insights in the determination of the important parameters which drive the dynamics of the technological substitution model in the context of one-at-a-timesensitivity analysis
Design of Non-Uniform Linear Antenna Arrays Using Dolph- Chebyshev and Binomi...IJERA Editor
This paper explores the analytical methods of synthesizing linear antenna arrays. The synthesis employed is
based on non-uniform methods. In particular, the Dolph-Chebyshev and binomial methods are used, so as to
improve the directivity of the array and to reduce the level of the secondary lobes by adjusting the geometrical
and electric parameters of the array. The radiation patterns, the directivity, and the array factors of the uniform
and the non-uniform methods are presented. It is shown that the Chebyshev arrays have better directivity than
binomial arrays for the same number of elements and separation distance, while binomial arrays have very low
side lobes compared with Chebyshev and uniform excitation arrays. Finally, numerical results of both methods
are analyzed and compared.
This document discusses using neuro-fuzzy networks to identify parameters for mathematical models of geofields. It proposes a new technique using fuzzy neural networks that can be applied even when data is limited and uncertain in the early stages of modeling. A numerical example is provided to demonstrate the identification of parameters for a regression equation model of a geofield using a fuzzy neural network structure. The network is trained on experimental fuzzy statistical data to determine values for the regression coefficients that satisfy the data. The technique is concluded to have advantages over traditional statistical methods as it can be applied regardless of the parameter distribution and is well-suited for cases with insufficient data in early modeling stages.
Evaluation of 6 noded quareter point element for crack analysis by analytical...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can have mental and physical health benefits over time by helping people feel more relaxed and better able to handle life's stresses.
Course: Intro to Computer Science (Malmö Högskola)
Some classic data structures within computer science modeling: stacks, queues, vectors, linked-lists, graphs
This document provides an introduction to finite element modeling and analysis. It discusses how the finite element method (FEM) can be used to approximate solutions to complex differential equations that describe mechanical systems. The FEM subdivides a system into simple elements that are connected at nodes, allowing the behavior of the overall system to be approximated by the behavior of the discrete elements. The document outlines the basic steps of a finite element analysis and discusses various element types that can be used to model different features.
This document discusses various methods for modeling shallow water flows and waves using numerical techniques. It covers topics like wave theories, wave modeling approaches, meshfree Lagrangian methods, smoothed particle hydrodynamics (SPH), and the use of graphics processing units (GPUs) for real-time simulations. SPH is presented as a meshfree Lagrangian technique for modeling wave breaking processes. The document outlines the governing SPH equations, kernel approximations, time stepping approaches, and submodels for viscosity and turbulence. Validation examples are shown comparing SPH simulations to experimental data.
The document discusses estimation of multi-Granger network causal models from time series data. It proposes a joint modeling approach to estimate vector autoregressive (VAR) models for multiple time series datasets simultaneously. The key steps are:
1. Estimate the inverse covariance matrices for each dataset using a factor model approach.
2. Use the estimated inverse covariance matrices in a generalized fused lasso optimization to jointly estimate the VAR coefficient matrices for each dataset.
Simulation results show the joint modeling approach improves estimation of the VAR coefficients and reduces forecasting error compared to estimating the models separately, especially when the number of time points is small. The factor modeling approach also provides a better estimate of the inverse covariance than using the empirical estimate.
The document discusses concepts related to 1D finite element analysis including shape functions, natural coordinates, strain-displacement matrices, and stiffness matrices. It covers defining linear shape functions and interpolation functions within an element using natural coordinates. It also derives the strain-displacement matrix and expresses the normal strain relation in matrix form using this. Finally, it discusses properties of the global stiffness matrix, including it being symmetric, singular, and banded for 1D structural problems.
Principal component analysis (PCA) is a technique used to reduce the dimensionality of large data sets by transforming correlated variables into a smaller number of uncorrelated variables called principal components. PCA identifies patterns in data and expresses the data in such a way as to highlight their similarities and differences. The main goals of PCA are data reduction and interpretation. It works by identifying the directions (principal components) along which the variation in the data is maximized.
The document describes the formulation of a Linear-Strain Triangular (LST) finite element. The LST element has 6 nodes, 12 degrees of freedom, and a quadratic displacement function, offering advantages over the Constant Strain Triangular (CST) element. The procedure to derive the LST element stiffness equations is identical to that used for the CST element. Key steps include discretizing the element, selecting displacement functions, defining strain-displacement relationships, and deriving the element stiffness matrix using the total potential energy approach.
Multilayer Backpropagation Neural Networks for Implementation of Logic GatesIJCSES Journal
ANN is a computational model that is composed of several processing elements (neurons) that tries to solve a specific problem. Like the human brain, it provides the ability to learn
from experiences without being explicitly programmed. This article is based on the implementation of artificial neural networks for logic gates. At first, the 3 layers Artificial Neural Network is
designed with 2 input neurons, 2 hidden neurons & 1 output neuron. after that model is trained
by using a backpropagation algorithm until the model satisfies the predefined error criteria (e)
which set 0.01 in this experiment. The learning rate (α) used for this experiment was 0.01. The
NN model produces correct output at iteration (p)= 20000 for AND, NAND & NOR gate. For
OR & XOR the correct output is predicted at iteration (p)=15000 & 80000 respectively
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
Similar to Finite element analysis of space truss by abaqus (20)
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
1. FINITE ELEMENT METHODS
SARDAR VALLABHAI PATEL INSTITUTE OF TECHNOLOGY-SURAT
ROLL NO:
P16ST016-CHANDRASHEKHAR L
P16ST017-AKASH J K
P16ST018-SUNIL KUMAR BAIRWA
P16SM001-GAYATHRI NAIR G R
P16SM002-HRISHIKESH AGASHEY
2. Contents:
1. Problem statement
2. Manual calculations
3. Introduction of FEM-software (ABAQUS)
4. Inputs of the problem
5. Observation of results in different cases(meshing)
6. Conclusion
3. Problem statement
1.For the space truss shown in Figure below, determine the nodal
displacements and the stress in each elements. Let E = 210 GPa and A =
10 X 10-4 m2 for all elements. Verify force equilibrium at node 1. The
coordinates of each node, in meters, are shown in the figures. All
supports are ball-and-socket joints.
8. Introduction to FEM Software
• Abaqus FEA (formerly ABAQUS) is a software suite for finite element
analysis and computer-aided engineering
• The Abaqus products use the open-source scripting
language Python for scripting and customization
9. Introduction to FEM Software cont..
• Abaqus is used in the automotive, aerospace, and industrial products
industries. The product is popular with non-academic and research
institutions in engineering due to the wide material modelling
capability.
• The program's ability to be customized is its main feature
11. SEQUENCE OF MODULES IN ABAQUS
1.PART
2.PROPERTY
3.LOAD
4.MESH
5.JOB
6.VISUALIZATION
12. Inputs of the problem
BASIC FEATURES OF STRUCTURE:
NUMBER OF ELEMENTS =5
NUMBER OF NODES =5
D.O.F/Node =3
TOTAL NUMBER OF D.O.F =15
13.
14.
15.
16. Meshing(seeding the element=1 no):displacement of node1 in x-direction
Potential Energy function:
𝜋 = 0
𝑙
(
𝐴𝐸
2
(
𝑑𝑢
𝑑𝑥
)2AE-qu)dx
Order of the potential
function is 1
∴ 𝑛 − 1 = 0
𝑐0 𝑐𝑜𝑛𝑡𝑖𝑛𝑢𝑡𝑦 displaceme
nt continuity is followed
by truss element
20. Comparison of results with respect to meshing
Case 1: seeding the element=1no’s Case 2: seeding the element=2 no’s
Case3: seeding the element=10no’s Case 4seeding the element=100no’s
21. Primary Nodes: To connect member to member
Secondary Nodes: with in element
HIGHER ORDER ELEMENTS: D.O.F Increased for per element by
discretising into large no of simple elements
33. conclusion
• Manual calculations and software analysis values are matched.
• The number of elements are increased to particular no’s then
variations in results are too high.
• From the comparison it is found that “for analysis of truss one
element is sufficient for accuracy” further confirmed by potential
energy functional theory.