Damage Localization based on Modal Parameters using the Finite Element Method and Neural Networks

2010 ◽  
Author(s):  
A. Garcia-Gonzalez ◽  
A. Gonzalez-Herrera ◽  
A. Garcia-Cerezo
Keyword(s):  
Neural Networks ◽  
Finite Element Method ◽  
Finite Element ◽  
Modal Parameters ◽  
Damage Localization ◽  
The Finite Element Method ◽  
Element Method

A Design Methodology for Tracked Vehicles Using Experimentally Identified Modal Parameters and the Finite Element Method

1994 ◽  
Author(s):  
M. K. Sarwar ◽  
A. A. Shabana ◽  
Toshikazu Nakanishi
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Finite Element Model ◽  
Design Methodology ◽  
Element Model ◽  
Modal Parameters ◽  
The Finite Element Method ◽  
Tracked Vehicle ◽  
Made In ◽  
Element Method

Abstract The objective of this study is to develop a design procedure that integrates multibody techniques, the finite element method, and experimental modal analysis techniques. Multibody techniques and the finite element method are first used to develop and numerically test the performance of the proposed design. Based on this computer analysis, a prototype model can be built. The vibration modal parameters of this model can be determined experimentally and used with general purpose multibody computer programs to evaluate the performance of the design. The obtained numerical results can be compared with the results obtained previously using multibody techniques and the finite element method. Adjustments can then be made in the finite element description in order to obtain a more realistic model that compares well with the experimental data. Using the more realistic finite element model, design modifications can be made in order to improve the performance of the design model. The use of the design methodology proposed in this paper is demonstrated using a flexible tracked vehicle model that consists of fifty four interconnected bodies. In this model, the nonlinear contact forces that describe the interaction between the track links and the vehicle components and the ground are developed. The nonlinear dynamic equations of the vehicle are developed in terms of a coupled set of reference and chassis elastic modal coordinates. The flexibility of the chassis of the tracked vehicle is described using the finite element method and experimentally identified modal parameters. The results obtained using the finite element model are compared with the results obtained using experimentally identified modal parameters.

scholarly journals Modal identification of Bridge 44 of the Carajás Railroad and numerical modeling using the finite element method

2020 ◽  
Vol 13 (1) ◽  
pp. 39-68
Author(s):  
M. S. SILVA ◽  
F. A. NEVES
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Numerical Modeling ◽  
Dynamic Characteristics ◽  
Modal Identification ◽  
Mode Shapes ◽  
Modal Parameters ◽  
The Finite Element Method ◽  
Vibration Tests ◽  
Element Method

Abstract Regular use and the effects of time can affect the behavior of a structure. Over time, problems such as the occurrence of small fissures, oxidation of steel elements, and excessive displacements at some points may arise in a structure. In this context, the monitoring of structures through experimental tests has gained more importance, because it allows for the identification of the dynamic characteristics (natural frequencies, mode shapes, and damping rate) of structures. The dynamic characteristics can be obtained through forced vibration tests, which are based on measuring the response of a structure subjected to an excitation of known magnitude, or through tests in which only the structural response is measured, such as free vibration and ambient vibration tests. The present study aims to identify the modal parameters of bridge 44 of the Carajás Railroad, using experimental data obtained on site by monitoring the vibration caused by a group of people jumping, and it compares them with the results obtained through numerical modeling performed using the finite element method, developed in CSiBridge. The modal parameters were obtained using the commercial software ARTeMIS Modal, and stochastic subspace identification was used for modal identification.

Simulation of Grinding by Means of the Finite Element Method and Artificial Neural Networks

2012 ◽  
pp. 193-218
Author(s):  
A.P. Markopoulos
Keyword(s):  
Neural Networks ◽  
Finite Element Method ◽  
Finite Element ◽  
Artificial Neural Networks ◽  
Ann Model ◽  
The Finite Element Method ◽  
Ann Models ◽  
Artificial Neural ◽  
Complex Phenomena ◽  
Element Method

Simulation of grinding is a topic of great interest due to the wide application of the process in modern industry. Several modeling methods have been utilized in order to accurately describe the complex phenomena taking place during the process, the most common being the Finite Element Method (FEM) and the Artificial Neural Networks (ANN). In the present work, a FEM model and an ANN model for precision surface grinding, are presented. Furthermore, a new approach, a combination of the aforementioned methods, is proposed, and a hybrid model is presented. This model comprises the advantages of both FEM and ANN models. The three kinds of models described in this work are able to accurately predict several grinding features that define the outcome of the process and the quality of the final product.

Simulation of tuning graphene plasmonic behaviors by ferroelectric domains for self-driven infrared photodetector applications

Nanoscale ◽  
2019 ◽  
Vol 11 (43) ◽  
pp. 20868-20875 ◽  
Author(s):  
Junxiong Guo ◽  
Yu Liu ◽  
Yuan Lin ◽  
Yu Tian ◽  
Jinxing Zhang ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Interfacial Effect ◽  
Infrared Photodetector ◽  
The Finite Element Method ◽  
Ferroelectric Domains ◽  
Element Method

We propose a graphene plasmonic infrared photodetector tuned by ferroelectric domains and investigate the interfacial effect using the finite element method.

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