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Sunday, July 26, 2020 | History

1 edition of Finite Element Model Updating and Damage Detection Using Artificial Boundary Conditions found in the catalog.

Finite Element Model Updating and Damage Detection Using Artificial Boundary Conditions

Finite Element Model Updating and Damage Detection Using Artificial Boundary Conditions

  • 184 Want to read
  • 2 Currently reading

Published by Storming Media .
Written in English

    Subjects:
  • MAT000000

  • The Physical Object
    FormatSpiral-bound
    ID Numbers
    Open LibraryOL11848924M
    ISBN 10142354563X
    ISBN 109781423545637

    Mats G. Larson, Fredrik Bengzon The Finite Element Method: Theory, Implementation, and Practice November 9, Springer.   Finite element model (FEM) is a broadly used numerical tool in structural damage detection. In such applications, damage parameters in FEM are estimated by minimizing the differences between experimental modal analysis data and the corresponding FEM model prediction.

    A 3-D finite element model with local absorbing boundary conditions is established for the local site. The time histories of seismic ground motion are converted into equivalent loads on the artificial boundary, to obtain the seismic input at the bridge supports.   Study and Application of Bridge Structure Finite Element Model Updating Based on Static-Load Testing 1 February | Advanced Materials Research, Vol. Closed-form solutions for crack detection problem of Timoshenko beams with various boundary conditions.

    Minimum condition number by orthogonal projection row selection of artificial boundary conditions for finite element model update and damage detectio Journal of Sound and Vibration - Volume Title: Associate Professor of .   The finite element method is a numerical technique to solve physical problems to predict their response. Now in order to solve the problem numerically we need to have a mathematical model of the problem. This is done by obtaining the Governing equ.


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Finite Element Model Updating and Damage Detection Using Artificial Boundary Conditions Download PDF EPUB FB2

The method of Artificial Boundary Conditions in model update and damage identification is used. To update the finite element model, identified stiffness changes are typically applied at each element of the model.

This research introduces and demonstrates a new method using the mean stiffness correction at every element, to produce improved. Gordis J.H. () Optimal Selection of Artificial Boundary Conditions for Model Update and Damage Detection – Part 2: Experiment.

In: Allemang R., De Clerck J., Niezrecki C., Wicks A. (eds) Topics in Modal Analysis, Volume 7. Conference Proceedings of the Society for Experimental Mechanics : Joshua H. Gordis. Using a single set of FRF data collected from a modal test, the artificial boundary conditions (ABC) method identifies experimentally the natural frequencies of a structure under test for a variety of different boundary conditions, without having to physically apply the boundary conditions, hence the term “artificial”.Cited by: 4.

A sensitivity-based finite element (FE) model updating is carried out for damage detection in this paper. The objective function consisting of the modal flexibility residual is formulated and its. Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection Finite element model updating and damage detection using artificial boundary conditions.

Using a single set of FRF data collected from a modal test, the artificial boundary conditions (ABC) method identifies experimentally the natural frequencies of a structure under test for a variety of different boundary conditions, without having to physically apply the boundary conditions, hence the term "artificial".

Tu and Lu () developed a method to update the FEM model of the structure using artificial boundary conditions, and used a GA for model updating. Meruane and.

1. Introduction. In the establishment of a representative FE model for an actual structure, a large number (order of 10 2 ∼ 10 3) of physical parameters may be required in order to define the model determination of these parameters constitutes a typical model updating process in which the FE parameters are adjusted until the predicted data of the structure by the FE model.

Fernandez C () Artificial boundary conditions in sensitivity based finite element model updating and structural damage detection. Master’s thesis, Naval. A spectral element model updating procedure is presented to identify damage in a structure using Guided wave propagation results.

Two damage spectral elements (DSE1 and DSE2) are developed to model the local (cracks in reinforcement bar) and global (debonding between reinforcement bar and concrete) damage in one-dimensional homogeneous and composite waveguide, respectively.

This book opens new research directions in the field of computational intelligence applied in mathematical models that use finite-element updating method. I would warmly recommend this book for the under-graduated and graduated students, researchers and all the people interested in the fields of computational intelligence and the finite element.

finite element models. NUMBER OF PAGES SUBJECT TERMS Artificial Boundary Conditions, Finite Element Model, Sensitivity Based FEM Updating, Damage Detection, Natural Frequencies, Diagonal Dominant PRICE CODE SECURITY CLASSIFICATION OF REPORT Unclassified SECURITY CLASSIFICATION OF THIS PAGE Unclassified SECURITY.

The ability of this technique to generate additional sensitivity data for use in model update and damage detection is explored and compared with the use of Artificial Boundary Conditions. Frequency response functions from a simulated damaged structure are used as well as measured frequency response functions from a lab-scale damaged structure.

Masoud Pedram, Akbar Esfandiari, Mohammad Reza Khedmati, Finite element model updating using strain‐based power spectral density for damage detection, Structural Control and Health Monitoring, /stc, 23, 11, (), (). Minimum condition number by orthogonal projection row selection of artificial boundary conditions for finite element model update and damage detection Joshua H.

The location and size of damage can be inferred by monitoring the reduction in stiffness properties of elements or substructures constituting the finite element model of the structure. The general problem of structural model updating involves the selection of the model from a parameterized class of models that provides the best fit to the.

This research entails a theoretical and numerical study on a new damage detection method for bridges, using response sensitivity in time domain. This method, referred to as “adjoint variable method,” is a finite element model updating sensitivity based method.

Governing equation of the bridge-vehicle system is established based on finite element formulation. Dynamic Finite Element Model Updating Using Neural Networks,” Structural Damage Detection Using Artificial Neural Networks and Measured Frf Data Reduced Via Principal Component Projection /jsvi Google Scholar.

Crossref. Search ADS Tsou, P., and. Shen, M.-H.,“ Structural Damage Detection and. Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems.

FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches.

Finite Element Model Update via Bayesian Estimation and Minimization of Dynamic Residuals,” - Alvin - 18 Neural networks trained by analytically simulated damage e states”, - Elkordy, Chang, et al.

-. The extended finite element method (XFEM) is a numerical technique based on the generalized finite element method (GFEM) and the partition of unity method (PUM). It extends the classical finite element method by enriching the solution space for solutions to differential equations with discontinuous functions.

The ability of the algorithm to identify damage was demonstrated analytically using a finite-element model of a hot-rolled steel grid structure.

The algorithm successfully located the structural damage under several damage cases, including damage resulting from local stiffness loss in members and damage resulting from changes in boundary.The book covers probabilistic finite element model updating, achieved using Bayesian statistics.

The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure.