Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Development of a model updating technique for nonlinear systems
Download
index.pdf
Date
2015
Author
Canbaloğlu, Güvenç
Metadata
Show full item record
Item Usage Stats
212
views
139
downloads
Cite This
In structural dynamics, obtaining an accurate numerical model is very crucial. However there are usually discrepancies between calculated dynamic behavior from numerical models and the ones obtained experimentally, and therefore it will be necessary to update the numerical models. In real life applications, structures usually have nonlinearity, and for nonlinear structures, in order to update the numerical model, firstly nonlinearity in the structure can be identified, and then updating procedure may be applied to the linear part of the model. Application of such an approach may not be straightforward, especially for nonlinear systems having multiple nonlinearities including friction type of nonlinearity. In this thesis, a new model updating technique for nonlinear structures that have multiple nonlinearities including friction type of nonlinearity is developed. The method identifies multiple nonlinearities in the structure and simultaneously extracts the FRFs of the underlying linear system. The accuracy of the method developed is first verified by using nonlinear lumped SDOF and MDOF systems, as well as with nonlinear structure using simulated experimental data. Then, as experimental studies,method developed is applied to a real test system and finally to an engineering system (nonlinear gun barrel of a battle tank). It is shown that, the method developed can be successfully applied both to a test system and to a complex engineering problem for obtaining an accurate nonlinear model. In conclusion, the validation and application of the model updating method developed for nonlinear structures are demonstrated successfully with both simulated case studies and experimental real life applications.
Subject Keywords
Nonlinear systems.
,
Nonlinear theories.
,
Structural Dynamics.
,
System theory.
URI
http://etd.lib.metu.edu.tr/upload/12619072/index.pdf
https://hdl.handle.net/11511/24822
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Investigation of decoupling techniques for linear and nonlinear systems
Kalaycıoğlu, Taner; Özgüven, Hasan Nevzat; Department of Mechanical Engineering (2018)
Structural coupling methods are widely used in predicting dynamics of coupled systems. In this study, the reverse problem, i.e. predicting the dynamic behavior of a particular subsystem from the knowledge of the dynamics of the overall system and of all the other subsystems, is studied. This problem arises when a substructure cannot be measured separately, but only when coupled to neighboring substructures. The dynamic decoupling problem of coupled linear structures is well investigated in literature. Howev...
Stochastic and deterministic analysis of nonlinear missile engagement scenarios using 5-dof 6-dof and adjoint models
Sezer, Emrah; Kutay, Ali Türker; Department of Aerospace Engineering (2015)
In this study, pseudo five degree of freedom and a linear time varying adjoint models are considered in terms of their fidelity for conceptual design phase of a missile. The models are developed and compared for two analysis types such as, deterministic and stochastic. For the first analysis, pseudo five degree of freedom and adjoint models, which are developed, are compared with fully nonlinear six degree of freedom model for various performance analyses that are essential for conceptual design phases. Adj...
Comparison of iterative algorithms for parameter estimation in nonlinear regression
Musluoğlu, Gamze; Akkaya, Ayşen; Department of Statistics (2018)
Nonlinear regression models are more common as compared to linear ones for real life cases e.g. climatology, biology, earthquake engineering, economics etc. However, nonlinear regression models are much more complex to fit and to interpret. Classical parameter estimation methods such as least squares and maximum likelihood can also be adopted to fit the model in nonlinear regression as well, but explicit solutions can not be achieved unlike linear models. At this point, iterative algorithms are utilized to ...
Digital controller design for sampled-data nonlinear systems
Üstüntürk, Ahmet; Kocaoğlan, Erol; Department of Electrical and Electronics Engineering (2012)
In this thesis, digital controller design methods for sampled-data nonlinear systems are considered. Although sampled-data nonlinear control has attracted much attention in recent years, the controller design methods for sampled-data nonlinear systems are still limited. Therefore, a range of controller design methods for sampled-data nonlinear systems are developed such as backstepping, adaptive and robust backstepping, reduced-order observer-based output feedback controller design methods based on the Eule...
Structural coupling of two nonlinear structures
Tepe, Çağrı; Ciğeroğlu, Ender; Department of Mechanical Engineering (2018)
In mechanical design, modelling and analysis of a complex structure can be simplified with dividing the structure into substructures; therefore, any change in the structure can be addressed easily which is referred as “structural coupling”. Utilization of proper coupling techniques, it is possible to understand the behavior of the whole structure by considering the behavior of its substructures. For linear structures, coupling is a common technique; however, in most of the engineering structures, nonlineari...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Canbaloğlu, “Development of a model updating technique for nonlinear systems,” Ph.D. - Doctoral Program, Middle East Technical University, 2015.