Structural system identification using multiple tests

Berman, Alex; Fuh, Jon-Shen

doi:10.2514/6.1990-1200

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…In Ref. 12, an approach which utilized a pseudoinverse solution to a multitest orthogonality condition was shown to provide a minimum-norm adjustment to the stiffness matrix. Finally, the multiboundary condition testing approach advanced in Ref.…”

Section: Introductionmentioning

confidence: 99%

Model correlation using multiple static load and vibration tests

Zimmerman

Simmermacher

1995

AIAA Journal

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In this paper, algorithmic approaches to enhance damage detection and model refinement capability are developed for cases in which experimental data from multiple tests are available. The tests may include both multiple vibration tests and multiple static load tests. The use of multitest measurements are shown to be one method to address a part of the incomplete measurement problem common to system health monitoring and model refinement, namely, the mismatch in the number of measured vibration modes in comparison to the number of modes included in the analytical finite element model. Key points made in the development will be highlighted using numerical experiments.

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Section: Introductionmentioning

confidence: 99%

Model correlation using multiple static load and vibration tests

Zimmerman

Simmermacher

1995

AIAA Journal

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Parametric Identification Based on Pseudo-Tests

Lallement¹,

Cogan²

1999

Modal Analysis and Testing

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A method for system identification using the optimality criteria optimization approach

Khot¹,

Berke

1994

Structural Optimization

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A b s t r a c tAn algorithm similar to the optimality criteria approach used in structural optimization is presented for identifying stiffnesses of structural members by using vibration test data. A set of equivalent static inertia forces are obtained from the vibration analysis using d'Alembert's principle and are used to solve the multiple displacement constraint problem. The displacement constraint values are specified based on the measured experimental modal displacement data at critical locations. The algorithm is used to find the changes needed in the stiffnesses of the elements and the distribution of nonstructural mass of the nominal analytical model to correlate the analytical and experimental data. The algorithm alternates between the vibration analysis and static analysis to find the equivalent load vector and modify the stiffnesses. The identified stiffness properties of the structural elements can be used to control and study the dynamic response of the structure.

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Structural system identification using multiple tests

Cited by 4 publications

References 8 publications

Model correlation using multiple static load and vibration tests

Model correlation using multiple static load and vibration tests

Parametric Identification Based on Pseudo-Tests

A method for system identification using the optimality criteria optimization approach

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