A study on modal parameter identification of a cable-stayed bridge using acceleration measurement data

다국어 초록 (Multilingual Abstract)

In this study, dynamic characteristics of a real cable stayed bridge by using vibration data is presented. The following approaches are performed to obtain the objective. Firstly, experimental modal identification methods are selected to extract dynamic characteristics of cable-stayed bridge. Secondly, the target cable-stayed bridge ‘Ting Kau Bridge’ and its dynamic measurement records during normal wind and typhoon-induced heavy wind conditions describe. Thirdly, dynamic characteristics of the target bridge are identified by the eigenvalue analysis on a three dimensional FE model and extracting modal parameters by the selected modal parameter identification techiques. Finally, modal identifiability was assessed by comparison between the numerical and the experimental modal parameters. From the result, the modal characteristics of the cable stayed bridge under ambient vibration conditions were successfully extracted by using the selected experimental modal identification techiques with ambient vibration test.

목차 (Table of Contents)

• TABLE OF CONTENTS i
• LIST OF FIGURES iii
• LIST OF TABLES vi
• ABSTRACT vii
• CHAPTER 1 INTRODUCTION 1
• 1.1 Background 1
• 1.2 Objective and scope 4
• CHAPTER 2 EXPERIEMNTAL MODAL IDENTIFICATION TECHIQUES 5
• 2.1 Selection of modal identification techniques 5
• 2.2 Frequency domain decomposition method 7
• 2.3 Stochastic subspace identification method 10
• CHAPTER 3 TAGET STRUCTURE: TING KAU BRIDGE 16
• 3.1 Description of Ting Kau Bridge 16
• 3.2 Monitoring system of Ting Kau Bridge 18
• 3.3 Acceleration data acquisition 21
• 3.4 Data analysis result 26
• CHAPTER 4 MODAL CHARACTERISTIC IDENTIFICATION 36
• 4.1 FE model and modal analysis 36
• 4.2 Modal identification using FDD method 42
• 4.3 Modal identification using SSI method 51
• 4.4 Discussion 60
• CHAPTER 5 CONCLUSIONS 72
• ABSTRACT IN KOREAN 74
• REFERENCES 75
• APPENDICES 77
• A. Mode shape using FDD method 77
• B. Mode shape using SSI method 120