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UPDATING OF ANALYTICAL MODELS OF EXISTING LARGE STRUCTURES BASED ON MODAL TESTING

Reto Cantieni

Open publisher page 8 citations

Abstract

The state-of-the-art of experimental structural dynamic's investigations and of Finite Element model updating based on such experimental results as well as the purpose of such investigations are discussed and illustrated. The methods presented are Forced Vibration Testing and Ambient Vibration Testing. It is the goal of both methods to evaluate the structure's modal parameters which reflect the structure's actual static and dynamic boundary conditions and its stiffness and mass properties.

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What this paper is about

The state-of-the-art of experimental structural dynamic's investigations and of Finite Element model updating based on such experimental results as well as the purpose of such investigations are discussed and illustrated. The methods presented are Forced Vibration Testing and Ambient Vibration Testing. It is the goal of both methods to evaluate the structure's modal parameters which reflect the structure's actual static and dynamic boundary conditions and its stiffness and mass properties.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The state-of-the-art of experimental structural dynamic's investigations and of Finite Element model updating based on such experimental results as well as the purpose of such investigations are discussed and illustrated. The methods presented are Forced Vibration Testing and Ambient Vibration Testing. It is the goal of both methods to evaluate the structure's modal parameters which reflect the structure's actual static and dynamic boundary conditions and its stiffness and mass properties.

Key concepts: Modal, Modal testing, Finite element method, Vibration, Structural engineering, Stiffness, Dynamic testing, Modal analysis

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UPDATING OF ANALYTICAL MODELS OF EXISTING LARGE STRUCTURES BASED ON MODAL TESTING — Research Paper | ScholarLens