Finite element method | Numerical differential equations | Numerical linear algebra
The goal of modal analysis in structural mechanics is to determine the natural mode shapes and frequencies of an object or structure during free vibration. It is common to use the finite element method (FEM) to perform this analysis because, like other calculations using the FEM, the object being analyzed can have arbitrary shape and the results of thecalculations are acceptable. The types of equations which arise from modal analysis are those seen in eigensystems. The physical interpretation of the eigenvalues and eigenvectors which come from solving the system are thatthey represent the frequencies and corresponding mode shapes. Sometimes, the only desired modes are the lowest frequencies because they can be the most prominent modes at which the object will vibrate, dominating all the higher frequencymodes. It is also possible to test a physical object to determine its natural frequencies and mode shapes. This is called an Experimental Modal Analysis. The results of the physical test can be used to calibrate a finite element model to determine if the underlying assumptions made were correct (for example, correct material properties and boundary conditions were used). (Wikipedia).
HSC Chemistry Applying Chemical Ideas Gravimetric Analysis
From playlist Y12 Chem Mod 8 Applying Chemical Ideas
Understanding Wavelets, Part 2: Types of Wavelet Transforms
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From playlist Understanding Wavelets
StatGeoChem session 5 Factor Analysis
PCA and Factor analysis with applications in Geosciences
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Now that you understand the Fourier transform, it's time to start learning about time-frequency analyses. Convolution is one of the best ways to extract time-frequency dynamics from a time series. Convolution can be conceptualized and implemented in the time domain or in the frequency doma
From playlist OLD ANTS #3) Time-frequency analysis via Morlet wavelet convolution
Bas Spitters: Modal Dependent Type Theory and the Cubical Model
The lecture was held within the framework of the Hausdorff Trimester Program: Types, Sets and Constructions. Abstract: In recent years we have seen several new models of dependent type theory extended with some form of modal necessity operator, including nominal type theory, guarded and c
From playlist Workshop: "Types, Homotopy, Type theory, and Verification"
Introduction to Bivariate Data (1 of 2: Dependent & independent variables)
More resources available at www.misterwootube.com
From playlist Descriptive Statistics & Bivariate Data Analysis
FEM@LLNL | Efficient Techniques for Fluid Structure Interaction
Sponsored by the MFEM project, the FEM@LLNL Seminar Series focuses on finite element research and applications talks of interest to the MFEM community. On July 26, 2022, Jeffrey Banks of Rensselaer Polytechnic Institute presented "Efficient Techniques for Fluid Structure Interaction: Comp
From playlist FEM@LLNL Seminar Series
Wavelets: a mathematical microscope
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutionary method allows us to uncover structures, which are present in the signal but are hidden behind the noise. The key feature of w
From playlist Fourier
contact between a floating manipulator and a satellite model
The Multibody Kane formulation is adopted to obtain the equation of motion. The code is developed and compiled in Matlab. Reference frame (of the animation) relative to the satellite reference frame. The flexibility model of the solar panels are modelled by using the modal decomposition te
From playlist MATLAB and Simulink Student Challenge 2014 Entries
FEM@LLNL | Unifying the Analysis of Geometric Decomposition in FEEC
Sponsored by the MFEM project, the FEM@LLNL Seminar Series focuses on finite element research and applications talks of interest to the MFEM community. On March 22, 2022, Tobin Isaac of Georgia Tech presented "Unifying the Analysis of Geometric Decomposition in FEEC." Two operations take
From playlist FEM@LLNL Seminar Series
Gwenaelle Douaud, University of Oxford - Stanford Big Data 2015
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
From playlist Big Data in Biomedicine Conference 2015
FEM@LLNL | An Efficient and Effective FEM Solver for Diffusion Equation with Strong Anisotropy
Sponsored by the MFEM project, the FEM@LLNL Seminar Series focuses on finite element research and applications talks of interest to the MFEM community. On December 13, 2022, Lin Mu of the University of Georgia presented "An Efficient and Effective FEM Solver for Diffusion Equation with St
From playlist FEM@LLNL Seminar Series
FEM@LLNL | Modeling and Controlling Turbulent Flows through Deep Learning
Sponsored by the MFEM project, the FEM@LLNL Seminar Series focuses on finite element research and applications talks of interest to the MFEM community. On August 23, 2022, Ricardo Vinuesa of KTH Royal Institute of Technology presented "Modeling and Controlling Turbulent Flows through Deep
From playlist FEM@LLNL Seminar Series
Confirmatory factor analysis in AMOS | Part 1
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Jaafar El-Awady - dislocation in high thermomechanical condition in Additive Manufacturing of Alloys
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From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
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Andrew Wiles: Fermat's Last theorem: abelian and non-abelian approaches
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Electrical Engineering: Ch 3: Circuit Analysis (2 of 37) Nodal Analysis w/ Current Sources
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MIT 2.003SC Engineering Dynamics, Fall 2011 View the complete course: http://ocw.mit.edu/2-003SCF11 Instructor: J. Kim Vandiver License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 2.003SC Engineering Dynamics, Fall 2011