System identification methods for dynamic structural models of electronic packages

Martinez, David; Red-Horse, John; Allen, James J.

doi:10.2514/6.1991-950

Cited by 19 publications

(7 citation statements)

References 7 publications

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“…Minimize: = 0.5 mv 2 (8) where KEij is the kinetic energy associated with the /th degree of freedom in the yth mode shape, and M/* is the term in the /th row and £th column of the mass matrix. The comparison of the kinetic energy matrix terms KE^ between the calculations using the analysis and test mode shapes provides information about the mass distribution and the modal amplitudes at each degree of freedom.…”

Section: Energy Checks For Location Of Modeling Errorsmentioning

confidence: 99%

Analysis and test correlation of spacecraft structures using dynamic parameter sensitivities

Kodiyalam

Kao

Wang³

1994

AIAA Journal

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A synergistic approach, using both test measurements and analytical model predictions, is outlined to accurately identify the dynamic characteristics of structural systems, more specifically, spacecraft systems. The test correlated dynamic model of the spacecraft structural system is in turn used for performing a detailed loads analysis of the coupled launch vehicle-spacecraft system, which verifies the integrity of spacecraft. A combination of error location procedure and parameter estimation method is used in correlating the finite element analytical model predictions with test measurements. Both frequency and mode shape correlations are imposed as direct requirements in the parameter estimation problem. The parameter estimation problem itself is solved using dynamic parameter sensitivities and mathematical programming methods. An interplanetary spacecraft design along with its test measurements is used in validating the proposed approach.

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Section: Energy Checks For Location Of Modeling Errorsmentioning

confidence: 99%

Analysis and test correlation of spacecraft structures using dynamic parameter sensitivities

Kodiyalam

Kao

Wang³

1994

AIAA Journal

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“…Sensitivity methods make use of sensitivity derivatives of modal parameters with respect to physical design variables [14][15][16] or with respect to matrix element variables [17]. The derivatives are then used in various formulations to update the physical parameters.…”

Section: Introductionmentioning

confidence: 99%

Statistical confidence using minimum rank perturbation theory

Zimmerman

2006

Mechanical Systems and Signal Processing

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“…Typical constraints may include satisfaction of the eigenproblem for all measured modes, definiteness of the updated property matrices, and preservation of the original sparsity pattern. Sensitivity methods for model refinement make use of sensitivity derivatives of modal parameters with respect to either physical design variables (Martinez et al, 1991) or matrix element variables (Matzen, 1987). When physical parameters are varied, the updated model is consistent within the original finite element method framework.…”

Section: Introductionmentioning

confidence: 99%

Model validation and verification of large and complex space structures

Zimmerman

2000

Inverse Problems in Engineering

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In this paper two case studies of model validation and verification of large and complex space structures are presented. The first case study focuses on experience gained in performing model validat~on and verification of the mated Russian Mir Space Station and United States Space Shuttle. This study makes use of dynamic test data taken during the STS-81 flight associated with the Mir Structural Dynamics Experiment. The second case study involves the International Space Station P6 truss segment tested in the launch configuration. In both cases, a newly developed capability within UAIINASTRAN is used to perform the model validation and verification. Key technical issues raised in these studies provide useful insight for future pretest planning and model validation and verification efforts.

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System identification methods for dynamic structural models of electronic packages

Cited by 19 publications

References 7 publications

Analysis and test correlation of spacecraft structures using dynamic parameter sensitivities

Analysis and test correlation of spacecraft structures using dynamic parameter sensitivities

Statistical confidence using minimum rank perturbation theory

Model validation and verification of large and complex space structures

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