Polynomial Interpolated Taylor Series Method for Parameter Identification of Nonlinear Dynamic SystemSource: Journal of Computational and Nonlinear Dynamics:;2006:;volume( 001 ):;issue: 003::page 248DOI: 10.1115/1.2209647Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This research work is in the area of structural health monitoring and structural damage mitigation. It addresses and advances the technique in parameter identification of structures with significant nonlinear response dynamics. The method integrates a nonlinear hybrid parameter multibody dynamic system (HPMBS) modeling technique with a parameter identification scheme based on a polynomial interpolated Taylor series methodology. This work advances the model based structural health monitoring technique, by providing a tool to accurately estimate damaged structure parameters through significant nonlinear damage. The significant nonlinear damage implied includes effects from loose bolted joints, dry frictional damping, large articulated motions, etc. Note that currently most damage detection algorithms in structures are based on finding changed stiffness parameters and generally do not address other parameters such as mass, length, damping, and joint gaps. This work is the extension of damage detection practice from linear structure to nonlinear structures in civil and aerospace applications. To experimentally validate the developed methodology, we have built a nonlinear HPMBS structure. This structure is used as a test bed to fine-tune the modeling and parameter identification algorithms. It can be used to simulate bolted joints in aircraft wings, expansion joints of bridges, or the interlocking structures in a space frame also. The developed technique has the ability to identify unique damages, such as systematic isolated and noise-induced damage in group members and isolated elements. Using this approach, not just the damage parameters, such as Young’s modulus, are identified, but other structural parameters, such as distributed mass, damping, and friction coefficients, can also be identified.
keyword(s): Motion , Simulation , Algorithms , Damping , Modeling , Polynomials , Stiffness , Nonlinear dynamical systems , Errors , Friction , Dynamics (Mechanics) , Elasticity AND Equations ,
|
Collections
Show full item record
contributor author | Simon C. Wong | |
contributor author | Alan A. Barhorst | |
date accessioned | 2017-05-09T00:19:06Z | |
date available | 2017-05-09T00:19:06Z | |
date copyright | July, 2006 | |
date issued | 2006 | |
identifier issn | 1555-1415 | |
identifier other | JCNDDM-25542#248_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/133271 | |
description abstract | This research work is in the area of structural health monitoring and structural damage mitigation. It addresses and advances the technique in parameter identification of structures with significant nonlinear response dynamics. The method integrates a nonlinear hybrid parameter multibody dynamic system (HPMBS) modeling technique with a parameter identification scheme based on a polynomial interpolated Taylor series methodology. This work advances the model based structural health monitoring technique, by providing a tool to accurately estimate damaged structure parameters through significant nonlinear damage. The significant nonlinear damage implied includes effects from loose bolted joints, dry frictional damping, large articulated motions, etc. Note that currently most damage detection algorithms in structures are based on finding changed stiffness parameters and generally do not address other parameters such as mass, length, damping, and joint gaps. This work is the extension of damage detection practice from linear structure to nonlinear structures in civil and aerospace applications. To experimentally validate the developed methodology, we have built a nonlinear HPMBS structure. This structure is used as a test bed to fine-tune the modeling and parameter identification algorithms. It can be used to simulate bolted joints in aircraft wings, expansion joints of bridges, or the interlocking structures in a space frame also. The developed technique has the ability to identify unique damages, such as systematic isolated and noise-induced damage in group members and isolated elements. Using this approach, not just the damage parameters, such as Young’s modulus, are identified, but other structural parameters, such as distributed mass, damping, and friction coefficients, can also be identified. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Polynomial Interpolated Taylor Series Method for Parameter Identification of Nonlinear Dynamic System | |
type | Journal Paper | |
journal volume | 1 | |
journal issue | 3 | |
journal title | Journal of Computational and Nonlinear Dynamics | |
identifier doi | 10.1115/1.2209647 | |
journal fristpage | 248 | |
journal lastpage | 256 | |
identifier eissn | 1555-1423 | |
keywords | Motion | |
keywords | Simulation | |
keywords | Algorithms | |
keywords | Damping | |
keywords | Modeling | |
keywords | Polynomials | |
keywords | Stiffness | |
keywords | Nonlinear dynamical systems | |
keywords | Errors | |
keywords | Friction | |
keywords | Dynamics (Mechanics) | |
keywords | Elasticity AND Equations | |
tree | Journal of Computational and Nonlinear Dynamics:;2006:;volume( 001 ):;issue: 003 | |
contenttype | Fulltext |