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Search results “Dynamic analysis frequency domain”

52:35
Structural Dynamics by Dr. P. Banerji, Department of Civil Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 9605 nptelhrd

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I'm writing a book on the fundamentals of control theory! Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future. I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching! Don't forget to subscribe! Follow me on Twitter @BrianBDouglas!
Views: 329506 Brian Douglas

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Views: 1297 SimScale GmbH

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Frequency response analysis is an extension of modal analysis in some way. If you want to know about modal analysis, the full article is here: http://feaforall.com/what-modal-analysis-fea-basics/ In short, modal analysis helps to determine the modes of vibrations and the frequencies at which those modes are triggered, BUT modal analysis doesn’t give you any info about the real deformation that an excitation of one of those modes will actually cause. When you have to do a dynamic analysis, modal analysis is only the beginning! Some modes will cause more « resonance » than others (and thus more damage)… so we want to know which ones and we want also to calculate the maximum deformation for each of the modes « triggered ». Go on the blog to read the full explanation: http://feaforall.com/frequency-response-analysis-fea/
Views: 23115 Cyprien Rusu

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Normal modes analysis example ( Demo) 13:23 Transient response - free undamped vibration (Demo) 23:24 Transient response - enforced damped vibration (Demo) 31:33 Frequency response - (Demo) 41:07 To check the next webinar events: http://www.midasnfx.com/Exprerience/ScheduleDemo.asp
Views: 1625 Cyprien Rusu

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COURSE WEBPAGE: Inferring Structure of Complex Systems https://faculty.washington.edu/kutz/am563/am563.html This lecture introduces the wavelet decomposition of a signal. The time-frequency decomposition is a generalization of the Gabor transform and allows for a intuitive decomposition of time series data at different frequencies.
Views: 4839 Nathan Kutz

57:06
Seismic Analysis of Structures by Dr. Ashok Gupta & Dr. T.K. Datta,Department of Civil Engineering,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Views: 3428 nptelhrd

57:22
Plantwide Control of Chemical Processes by Dr. Nitin Kaistha, Department of Chemical Engineering,IIT Kanpur.For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 1696 nptelhrd

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Views: 1957 iman

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Quick overview of how to set up measurement data visualization with IfTA Trend. During measurement visualization, can be modified on live data for flexible analysis. Axes automatically synchronize so if connected, so aligning plots by hand is a thing of the past. Cursors stay in sync in both time and frequency domain. The Data are artificial combustion dynamics signals form a gas turbine simulation.
Views: 70 IfTA GmbH

58:31
Seismic Analysis of Structures by Dr. Ashok Gupta & Dr. T.K. Datta,Department of Civil Engineering,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Views: 1042 nptelhrd

08:08
Explaining the basics of the frequency response and how to calculate the frequency response based on the transfer function.
Views: 66259 katkimshow

26:16
This video will explain the fundamental of steady state dynamics. Also it will demonstrated the step by step how to do steady state dynamics analysis in Abaqus standard.
Views: 9859 Abaqus Acumen

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Views: 12439 Keysight Labs

35:22
Introduction to frequency respnose analysis for fixed sine inputs to stable transfer functions
Views: 425 Ryan Krauss

05:45
Views: 556 MATLAB Helper ®

05:34
Femap Dynamic Frequency Respones Analysis - a short video showing how Femap with NX Nastran can perfom a frequency response of a design. http://www.plm.automation.siemens.com/en_us/products/velocity/femap/index.shtml
Views: 17174 Siemens PLM

01:03:26
A static Finite Element Analysis is sufficient if you are only interested in the long-term response of a structure to applied loads. However, if the duration of the applied load is short - such as in an earthquake - or if the loading is dynamic in nature - such as that from rotating machinery - you need to perform a dynamic analysis. In this webinar we will present the linear dynamic analysis process in Abaqus/Standard. You will learn: - What options are available for linear dynamic analysis in Abaqus - How to build an effective finite element model for linear dynamic analysis utilising the built-in feature set available in Abaqus Standard and Abaqus CAE - The limits of the available methods and how to choose which is applicable to your application. What data is required to produce a useful analysis. - Analysis solutions discussed will include, natural frequency extraction (modal analysis,) and steady state dynamics (frequency response.) This webinar is intended for finite element analysis beginners wanting to learn how to effectively use the capability of Abaqus for linear dynamic analysis; and for engineering managers who wish to understand how dynamic analysis in Abaqus may improve the understanding of their products and improve their design processes.
Views: 2510 Intrinsys

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This session gives a clear overview of different methods that DIANA offers to perform the dynamic analysis of civil engineering structures. In the first part the dynamic specific modelling aspects such as mass, damping, acceleration loading and waves, are explained. The second part will cover the details of Fluid-Structure Interaction (FSI), e.g. added mass and damping. The final part will demonstrate the available analysis types for dynamic analysis in DIANA; Free vibration eigenvalue analysis, response spectrum analysis (RSA), modal and direct frequency response analysis, transient dynamic (time history) analysis, and Hybrid Frequency-Time Domain (HFTD) analysis with associated and their specific dynamic output results.
Views: 331 DIANA FEA BV

11:53
Frequency Measurement LabVIEW
Views: 29208 David Wisbey

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Views: 5770 The Audiopedia

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Implicit Dynamic analysis of the time domain and frequency domain response (with filtering) of a two span viaduct crossed by a High speed train (Eurocode 1 HSLM-A8 ) using VIFEM Project (www.vifem.co.uk)
Views: 17 Ricardo Teixeira

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See more videos- http://bit.ly/aMdhSC Add a low-pass filter and frequency domain analysis to measurement data, while it's continuously being streamed from a USB data acquisition device.
Views: 113614 niglobal

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This video will explain the fundamental of lower natural frequencies and mode shapes.Also it will demonstrated the step by step how to do steady state dynamics analysis in Abaqus standard.
Views: 5939 Abaqus Acumen

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View more FEA and Nastran webinars: https://structures.aero/webinar/ Get a 45 Day Free Trial of Femap with NX Nastran with Dynamic Response: http://partnertrack.plm.automation.siemens.com/z/196/4099115/ Subscribe to our channel: https://www.youtube.com/channel/UCT_qHckHnPO85O0cEpGxveQ?sub_confirmation=1 Structural Design and Analysis (Structures.Aero) is a structural analysis company that specializes in aircraft and spacecraft structures using composites. We utilize Femap, NX Nastran, Fibersim, Simcenter 3D, and HyperSizer in our analysis work and provide these programs, training, and support as a Value-Added Reseller for Siemens PLM and HyperSizer. CONNECT WITH US Join the Femap/NX Nastran User Group: https://www.facebook.com/groups/23262... Facebook: https://www.facebook.com/StructuralDe... Twitter: https://twitter.com/StructuresAero LinkedIn: https://www.linkedin.com/company/stru... Website: https://structures.aero

09:12
Frequency domain simple introduction on Abaqus. This allows you to extract natural vibration frequencies of a solid body. More on http://www.ramifications.de/ It does not take into effect damping and does not include complex modes, that will be in the next video.
Views: 1392 Rami Rouhana

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in this video lecture time domain analysis in control systems concept explained - impulse and step response of first order systems concept explained Please Like, share and subscribe: https://www.youtube.com/channel/UCKS34cSMNaXaySe2xgXH-3A for more related videos
Views: 2439 Education 4u

55:33
Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 296 nptelhrd

49:48
Machinery fault diagnosis and signal processing by Prof. A.R. Mohanty,Department of Mechanical Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
Views: 5968 nptelhrd

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Cantilever Beam represented by a wire with a box section. 1: Viewing the mode shapes 2: Investigate the effects of applying an impulse to the end of the beam 3: Investigate the frequency response to a load at the end of the beam
Views: 79670 landoflemon

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Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 421 nptelhrd

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Defining terms used to describe systems time responses to a step function input, specifically, time constant, rise time, and settling time.
Views: 87055 katkimshow

01:21:52
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
Views: 109248 MIT OpenCourseWare

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Dynamic loading is a common contributor to fatigue failure of structures, yet the life calculations traditionally relied on stress and strain history from quasi-static time domain simulations, which can be time consuming and resource intensive while accounting for random loading on the structures. You are invited to attend this webinar to learn about the new technical advances in the area of frequency domain random response and fatigue life estimations. This webinar will demonstrate new technology from CAEfatigue VIBRATION (CFV) that is now available in MSC Nastran as NEVF (MSC Nastran Embedded Vibration Fatigue) represents a breakthrough in dynamic analysis, making the frequency domain practical for both random and fatigue analysis. This new technology will be demonstrated with two examples to help you understand the methodology.
Views: 641 MSC Software

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Most structural analyses are performed using a static solution or solving a system of equation for energy equilibrium. In short, the sum of the internal and external potential energy is equal to zero. This works well if the forces on the structure are constant or varying slowly as not to excite the dynamics of the structure. If loads do vary at a high rate with respect to time and cause dynamic excitation, one must analyze that the structure in time domain or by transient analysis.
Views: 1689 Saratech

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Learn more: https://www.simscale.com/drone-design-workshop/ The growing community of private DIY Drone designers and manufacturers has inspired us to create a workshop series focusing on the simulation of a drone design. The series is directed to makers and drone enthusiasts, who want to learn how to modify and optimize their own drone design. This session is dedicated to the simulation of a drop crash. Simulating the impact of the drone for several velocities will help you understand the critical falling velocity of your design. (0:56) Agenda (1:43) Fundamentals (1:44) Dynamic Analysis (8:29) Dynamic Analysis - Static vs. Dynamics (12:17) Solving the Equation (13:01) Dynamic Responses (14:58) Damping (17:10) Time Domain vs. Frequency Domain (18:34) Live Demo (30:09) Homework and Q&A Session 1: Aerodynamics & Propeller Design: https://youtu.be/ejfCnQs6HD4 Session 2: Structural Design: https://youtu.be/IJXbX5QRiQo Session 3: Drop Analysis: https://youtu.be/fO5Kme_XgGc Participants will receive a hands-on, interactive introduction to the application of engineering simulation in DIY Drone Design, and will learn from top experts how to leverage the free, cloud-based SimScale platform for their own projects and designs. There is no prior knowledge or software required to join this webinar series. All participants will get free access to SimScale with all the required simulation features. SimScale is a 100% cloud-based simulation platform. Try CFD, FEA or Thermal Analysis by creating a free account: https://goo.gl/d5PUIj
Views: 809 SimScale GmbH

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Views: 432 Frewer Engineering

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COURSE WEBPAGE: Inferring Structure of Complex Systems https://faculty.washington.edu/kutz/am563/am563.html This lecture gives a formal introduction into multi-resolution analysis (MRA) which can be accomplished with a wavelet basis. The method is able to decompose signals into different time-space scale features in a principled way.
Views: 937 Nathan Kutz

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This introductory video covers what wavelets are and how you can use them to explore your data in MATLAB®. •Try Wavelet Toolbox: https://goo.gl/m0ms9d •Ready to Buy: https://goo.gl/sMfoDr The video focuses on two important wavelet transform concepts: scaling and shifting. The concepts can be applied to 2D data such as images. Video Transcript: Hello, everyone. In this introductory session, I will cover some basic wavelet concepts. I will be primarily using a 1-D example, but the same concepts can be applied to images, as well. First, let's review what a wavelet is. Real world data or signals frequently exhibit slowly changing trends or oscillations punctuated with transients. On the other hand, images have smooth regions interrupted by edges or abrupt changes in contrast. These abrupt changes are often the most interesting parts of the data, both perceptually and in terms of the information they provide. The Fourier transform is a powerful tool for data analysis. However, it does not represent abrupt changes efficiently. The reason for this is that the Fourier transform represents data as sum of sine waves, which are not localized in time or space. These sine waves oscillate forever. Therefore, to accurately analyze signals and images that have abrupt changes, we need to use a new class of functions that are well localized in time and frequency: This brings us to the topic of Wavelets. A wavelet is a rapidly decaying, wave-like oscillation that has zero mean. Unlike sinusoids, which extend to infinity, a wavelet exists for a finite duration. Wavelets come in different sizes and shapes. Here are some of the well-known ones. The availability of a wide range of wavelets is a key strength of wavelet analysis. To choose the right wavelet, you'll need to consider the application you'll use it for. We will discuss this in more detail in a subsequent session. For now, let's focus on two important wavelet transform concepts: scaling and shifting. Let' start with scaling. Say you have a signal PSI(t). Scaling refers to the process of stretching or shrinking the signal in time, which can be expressed using this equation [on screen]. S is the scaling factor, which is a positive value and corresponds to how much a signal is scaled in time. The scale factor is inversely proportional to frequency. For example, scaling a sine wave by 2 results in reducing its original frequency by half or by an octave. For a wavelet, there is a reciprocal relationship between scale and frequency with a constant of proportionality. This constant of proportionality is called the "center frequency" of the wavelet. This is because, unlike the sinewave, the wavelet has a band pass characteristic in the frequency domain. Mathematically, the equivalent frequency is defined using this equation [on screen], where Cf is center frequency of the wavelet, s is the wavelet scale, and delta t is the sampling interval. Therefore when you scale a wavelet by a factor of 2, it results in reducing the equivalent frequency by an octave. For instance, here is how a sym4 wavelet with center frequency 0.71 Hz corresponds to a sine wave of same frequency. A larger scale factor results in a stretched wavelet, which corresponds to a lower frequency. A smaller scale factor results in a shrunken wavelet, which corresponds to a high frequency. A stretched wavelet helps in capturing the slowly varying changes in a signal while a compressed wavelet helps in capturing abrupt changes. You can construct different scales that inversely correspond the equivalent frequencies, as mentioned earlier. Next, we'll discuss shifting. Shifting a wavelet simply means delaying or advancing the onset of the wavelet along the length of the signal. A shifted wavelet represented using this notation [on screen] means that the wavelet is shifted and centered at k. We need to shift the wavelet to align with the feature we are looking for in a signal.The two major transforms in wavelet analysis are Continuous and Discrete Wavelet Transforms. These transforms differ based on how the wavelets are scaled and shifted. More on this in the next session. But for now, you've got the basic concepts behind wavelets.
Views: 143719 MATLAB

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Visit us at http://www.BetaMachinery.com Learn about pulsations (or pressure waves) and other forces, including resonance, unbalanced forces and other factors impacting reciprocating compressors; along with ways to mitigate these forces, where they can occur, frequency vs. time domain analysis, what operating conditions need to be tested, and more. This training video runs about 14 minutes and is the third in a series from Beta Machinery Analysis. For more information about compression equipment see http://www.BetaMachinery.com.

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Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 2075 nptelhrd

43:26
This is lesson no. 2 of 15 from the online course Basic Modal Analysis taught by Dr. Peter Avitabile. It is an excellent introduction without getting bogged down by complex mathematics. More sound & vibration courses at http://www.learnsv.com.
Views: 10429 LearnSV.com

29:08
Method of quasi-static analysis has been explained in this video tutorial. It discuss about the load application in time domain in Abaqus explicit dynamic solving method. Frequency value used to calculate the end time and set up quasi-static FE model
Views: 4030 Abaqus Acumen

14:04
Simulated Round Trip of Operating Modal Analysis (OMA) using Vibrant Technology, Inc.'s (www.vibetech.com) ME'scopeVES.

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Illustration of a dynamic 2D Fresnel wave field produced with a Matlab script. Polychromatic Fresnel wave fields provide a building block for SAR analysis performed in frequency-space domain.
Views: 134 Chris Barnes

29:34
Lecture 02: In this lecture Prof Aditya K. Jagannatham of IIT Kanpur explains the following concepts in Principles of Communication Systems-I 1. Frequency domain representation of signals 2. Concept of discrete Fourier series representation of signals.

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Natural Frequency analysis of steel beam using Abaqus CAE
Views: 11996 An Nguyen

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Zum Verkauf wird angeboten: Agilent/HP 3561A 100 kHz Dynamic Signal Analyzer Bandbreite 25 µHz bis 100 kHz Kostenloser Versand innerhalb Deutschland √ Funktionstest durchgeführt √ Zustand und Zubehör siehe original Fotos und Videos. Herkunft ist die Deutsche Bundeswehr. The Agilent/HP 3561A is a low frequency, high performance dual channel dynamic signal analyzer. Displays include a three-dimensional spectral map and time waveforms. The 3561A incorporates a 40K sample time buffer for later measurements and allows for acoustic measurements with its FFT-synthesized 1/3 and 1/2 octave measurements, together with the built-in analog A-weighted filter.The analyzer also has a built-in tracking generator for stimulus-response measurements . With built-in waveform math, magnitude and phase measurements are possible. Digital processing is used to provide ultra-narrow resolution bandwidths down to 640 µHz. Digital processing also speeds up measurements; a measurement with 1 Hz resolution requires only a 1.5 second sweep.In addition to spectrum measurements, the 3561A displays time waveforms similar to oscilloscope displays. A 40 K sample time buffer captures transients for examination in the time domain or analysis in the frequency domain. The 3561A is also an excellent analyzer for acoustic testing. Features 25 µHz to 100 kHz Measurement Frequency Range 80 dB dynamic range Single channel Built-in pseudo-random, random and impulse source Performs spectrum analysis, FFT-synthesized 1/3 and 1/1 octave analysis GPIB Interface is built in High accuracy of ±0.15 dB, 80 dB dynamic range and full alias protection Band selectable zoom analysis for 640 µHz resolution Incorporates internal nonvolatile memory, which will store 2 traces and 6 states Mein Shop-Logo Sehen Sie sich auch unsere anderen Artikel an Weitere Infos via [email protected] oder 0171-7407307.
Views: 773 Manig Döring

02:39
What is VIBRATION FATIGUE? What does VIBRATION FATIGUE mean? VIBRATION FATIGUE meaning - VIBRATION FATIGUE definition - VIBRATION FATIGUE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Vibration fatigue is a mechanical engineering term describing material fatigue, caused by forced vibration of random nature. An excited structure responds according to its natural-dynamics modes, which results in a dynamic stress load in the material points. The process of material fatigue is thus governed largely by the shape of the excitation profile and the response it produces. As the profiles of excitation and response are preferably analyzed in the frequency domain it is practical to use fatigue life evaluation methods, that can operate on the data in frequency-domain, such as power spectral density (PSD). A crucial part of a vibration fatigue analysis is the modal analysis, that exposes the natural modes and frequencies of the vibrating structure and enables accurate prediction of the local stress responses for the given excitation. Only then, when the stress responses are known, can vibration fatigue be successfully characterized. The more classical approach of fatigue evaluation consists of cycle counting, using the rainflow algorithm and summation by means of the Palmgren-Miner linear damage hypothesis, that appropriately sums the damages of respective cycles. When the time history is not known, because the load is random (e.g. a car on a rough road or a wind driven turbine), those cycles can not be counted. Multiple time histories can be simulated for a given random process, but such procedure is cumbersome and computationally expensive. Vibration-fatigue methods offer a more effective approach, which estimates fatigue life based on moments of the PSD. This way, a value is estimated, that would otherwise be calculated with the time-domain approach. When dealing with many material nodes, experiencing different responses (e.g. a model in a FEM package), time-histories need not be simulated. It then becomes viable, with the use of vibration-fatigue methods, to calculate fatigue life in many points on the structure and successfully predict where the failure will most probably occur.
Views: 440 The Audiopedia

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