Robust finite element model updating using Taguchi method

Kwon, Kye‐Si; Lin, Rongping

doi:10.1016/j.jsv.2003.12.013

Cited by 43 publications

(36 citation statements)

References 14 publications

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“…Aerodynamic calculation by panel method is first compared with complex variables based analytical solution (19) ; the pressure distributions of Van de Vooren airfoil are shown in Fig. 6.…”

Section: Resultsmentioning

confidence: 99%

“…A finite element based structural analysis has been performed using Hermitian beam elements, and the natural frequency is calculated via QR decomposition method using global mass matrix and global stiffness matrix (19) . In the airfoil design problem, an interdisciplinary design variable is t IDV , and disciplinary design variables in aerodynamics and structures subspaces are k 1 ,k 2 ,k 3 and t 1 ,t 2 , respectively.…”

Section: Structures Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Decomposition Based Design Method Coordinated by Disciplinary Subspace Optimization

Lee

Jeong

2006

JSME Int. J., Ser. C

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The paper describes the development of a decomposition based design (DBD) method using optimal sensitivity information with respect to coupled or interdisciplinary design variables. A multidisciplinary design system considered in the present study is decomposed into a number of subspaces based on their own design objectives and constraints associated with engineering physics. The coupled relations among subspaces are identified by interdisciplinary design variables. Subsystem level optimization is performed in parallel, and the system level coordination is determined by the first order optimal sensitivities of subsystem level objective functions with respect to interdisciplinary design variables. The central of the present work focuses on the formulation of system level coordination strategy and its capability in decomposition based design. A fluid-structure coupled design problem is explored as a test-bed to verify the proposed DBD method.

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“…Aerodynamic calculation by panel method is first compared with complex variables based analytical solution (19) ; the pressure distributions of Van de Vooren airfoil are shown in Fig. 6.…”

Section: Resultsmentioning

confidence: 99%

Section: Structures Optimizationmentioning

confidence: 99%

Decomposition Based Design Method Coordinated by Disciplinary Subspace Optimization

Lee

Jeong

2006

JSME Int. J., Ser. C

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“…Therefore, relative weights of natural frequencies and mode shapes should be chosen carefully. 23,47 Since natural frequencies are more accurately measured than mode shapes, the weighting value corresponding to natural frequencies W ω has been set higher than the weighting coefficient of mode shapes W M AC . These factors depend also on the number of measured modes taken for each analysed structure.…”

Section: Objective Functionmentioning

confidence: 99%

“…These factors depend also on the number of measured modes taken for each analysed structure. In this work, the weighting coefficients have been selected after several tests and several runs of the updating process, starting with weighting proposition given in, 47 and adjusting it in order to obtain the best value of the objective function.…”

Section: Objective Functionmentioning

confidence: 99%

Application of Improved Accelerated Random Search Algorithm for Structural Damage Detection

Boubakir¹,

Touat²,

Kharoubi³

et al. 2017

IJAV

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Finite element (FE) model updating technique belongs to the class of inverse problems in classical mechanics. According to the continuum damage mechanics, damage is represented by a reduction factor of the element stiffness and mass. The objective of the optimization problem is to minimize the difference between measured and numerical FE vibration data. In this study a new method is presented for structural damage detection called Improved Modified Accelerated Random Search algorithm (IMARS). The algorithm uses model updating procedure to detect damages in a decoupled fashion. First, detecting the location and the number of damaged elements is evaluated by multi-run process. Knowing damage number, the quantification step is then applied using simple computing procedure. The effectiveness of the algorithm is first tested on mathematical benchmark functions. The algorithm is then applied in damage detection of 2D beam structure and 2D truss structure. These two cases have different boundary conditions and different damage scenarios. The simulated experimental modal data have been taken as reference values. A real cantilever beam with experimental modal parameters is used to validate the proposed method for real single and double damages. Results show that the proposed method is accurate and robust in structural damage identification.

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“…Nowadays it is well understood that the effects of uncertainties have to be taken into account to update (or to indentify) a computational model and to optimize a design with a computational model. For instance, robust updating (or robust identification) has recently been proposed in the context of structural dynamics [34,41,42,45]. Similarly, robust design optimization has been proposed in different areas [16,33,37,46,47,49,51,65,67].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation

Soize

Capiez‐Lernout

Durand

et al. 2008

Computer Methods in Applied Mechanics and Engineering

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We present a methodology to perform the identification and validation of complex uncertain dynamical systems using experimental data, for which uncertainties are taken into account by using the nonparametric probabilistic approach. Such a probabilistic model of uncertainties allows both model uncertainties and parameter uncertainties to be addressed by using only a small number of unknown identification parameters. Consequently, the optimization problem which has to be solved in order to identify the unknown identification parameters from experiments is feasible. Two formulations are proposed. The first one is the mean-square method for which a usual differentiable objective function and an unusual non-differentiable objective function are proposed. The second one is the maximum likelihood method coupling with a statistical reduction which leads us to a considerable improvement of the method. Three applications with experimental validations are presented in the area of structural vibrations and vibroacoustics.

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Robust finite element model updating using Taguchi method

Cited by 43 publications

References 14 publications

Decomposition Based Design Method Coordinated by Disciplinary Subspace Optimization

Decomposition Based Design Method Coordinated by Disciplinary Subspace Optimization

Application of Improved Accelerated Random Search Algorithm for Structural Damage Detection

Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation

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