Identification of boundary conditions as a part of model correction

Pabst, Ulrich; Hagedorn, Peter

doi:10.1006/jsvi.1995.0217

Cited by 26 publications

(13 citation statements)

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“…Hagedorn [16] proposed a method that uses measured modal data to identify the properties of the boundary conditions of a structure. A boundary identification method using neural networks was proposed by Takahashi and Chishaki [17].…”

Section: Identification Of the Boundary Conditionsmentioning

confidence: 99%

Optimisation of the structural modes of automotive-type panels using line stiffeners and point masses to achieve weak acoustic radiation

et al. 2015

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Section: Identification Of the Boundary Conditionsmentioning

confidence: 99%

Optimisation of the structural modes of automotive-type panels using line stiffeners and point masses to achieve weak acoustic radiation

et al. 2015

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“…In equation (13), one is required to calculate the derivatives of the determinant of a N K ;N K matrix with respect to each of the sti!ness unknowns. As detailed in Appendix A, they can be directly obtained from…”

Section: A New Formulation For Identification Of Joint Stiffnessesmentioning

confidence: 99%

A New Method for Structural Model Updating and Joint Stiffness Identification

Li¹

2002

Mechanical Systems and Signal Processing

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“…Identification of the boundary conditions from experimental data is an effective solution to improve the modeling accuracy. Pabst and Hagedorn [6] proposed an inverse method to identify the boundary stiffness and damping parameters of a visco-elastically clamped beam by using modal data. Yang et al [7] constructed a numerical model to solve multi-variables inverse problems for a beam with elastic boundary support.…”

Section: Introductionmentioning

confidence: 99%

Stiffness identification of boundary conditions by using thin-layer element for parameterization

Jiang¹,

Tian²,

Yimeng³

et al. 2019

Vib. proced.

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The stiffness of boundary conditions in mechanical structures is difficult to represent. A method is proposed to model the mechanical performance of the clamped boundary condition based on thin-layer element. Firstly, the contact surface of clamped boundary condition is parameterized by using isotropic thin-layer element to model the normal and tangential contact stiffness. Secondly, material parameter of thin-layer element is identified by using experimental modal data, parameter identification is transformed as an optimization problem. Experimental investigation is undertaken to verify the proposed method by employing an aluminum honeycomb panel, the numerical model of which is constructed by using the equivalent theory. Thin-layer elements with different properties are used to simulate the mechanical properties in different area of the boundary conditions, and the experimental modal data is adopted to identify the material parameters. Results show that the width to thickness ratio of the thin layer element has a great influence on the identification results.

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Identification of boundary conditions as a part of model correction

Cited by 26 publications

References 0 publications

Optimisation of the structural modes of automotive-type panels using line stiffeners and point masses to achieve weak acoustic radiation

Optimisation of the structural modes of automotive-type panels using line stiffeners and point masses to achieve weak acoustic radiation

A New Method for Structural Model Updating and Joint Stiffness Identification

Stiffness identification of boundary conditions by using thin-layer element for parameterization

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