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Enhancing the Dynamic Characterization of a Wharf Structure Through Optimal Impact Load Direction: A Stochastic Subspace Identification Approach for Re-vealing Dominant Modes(ISAV2024)

Publish Year: 1403
Type: Conference paper
Language: English
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ISAV14_035

Index date: 2 February 2025

Enhancing the Dynamic Characterization of a Wharf Structure Through Optimal Impact Load Direction: A Stochastic Subspace Identification Approach for Re-vealing Dominant Modes(ISAV2024) abstract

This study investigates the effectiveness of impact load application in revealing the dynamic characteristics of a wharf structure. Finite element analysis was conducted to simulate impact loads time history analysis in the x, y, and z directions, both individually and simultaneously. Accelerations were extracted at nine points on the structure and processed using stochastic subspace identification (SSI) to determine mode shapes and vibration frequencies. The results were compared to those obtained from modal analysis to assess the success of stimulation in different directions. It was found that simultaneous application of impact loads in all three di-rections effectively excites the structure in all directions, leading to the extraction of more frequencies and mode shapes. While this approach may not be universally applicable, it is recommended for structures where it is feasible such as wharf structures. These structures are subjected to the impact of mooring vessels. So, it enhances the extraction of dynamic characteristics.

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Enhancing the Dynamic Characterization of a Wharf Structure Through Optimal Impact Load Direction: A Stochastic Subspace Identification Approach for Re-vealing Dominant Modes(ISAV2024) authors

Ali Rahmanikhah

Ph.D. Student of the Department of Civil Engineering, Shahid Rajaee Teacher TrainingUniversity, Tehran, Iran.

Mussa Mahmoudi

Full Professor of Structural Engineering of the Department of Civil Engineering, ShahidRajaee Teacher Training University, Tehran, Iran.

Amir Zayeri Baghlani Nejad

Assistant Professor, Jundi-Shapur University of Technology, Dezful, Iran.