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Evaluation and Improvement of the Existing Methods for Output Measurement of Structures Using Image Processing Applicable for Dynamic Parameter Identification Strategies

Azimbeik, Kimiya | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53973 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Rahimzadeh Rofooei, Fayaz; Mahdavi, Hossein
  7. Abstract:
  8. Damage and collapse of structural systems due to externally applied loadings, are inevitable, which cause financial and human losses. Therefore, the application of structural health monitoring (SHM) strategies has attracted a lot of attention in order to estimate structural damages, optimal maintenance and preventing structural collapse. Hence, in recent decades, the development of research activities in the field of structural health monitoring and its application in civil engineering, has led to the invention of various techniques and methods in assessing the safety of structures. These methods not only should be accurate enough for confidently identifying diverse severity of damages, but also should be economical and cost effective (in terms of the required instrumentation to be utilized). Generally, most of researches in this field have focused on the use of mechanical sensors, including accelerometers and strain gauges. Despite the very high cost and limitations in the possibility of using a large number of sensors as well as the necessity for the use of other relevant equipment, one of the main disadvantages of these tools is the lack of access to many points of the structure to achieve a full field sensor configuration in the overall scale of the structure. Nowadays, vision-based structural health monitoring strategies have been investigated due to easy access to digital cameras with high-resolution, their ease of use, lower cost than other available methods and the ability to harvest the behavior of the structure in numerous points. In addition to the advantages of each of these methods, there are also drawbacks that eliminating these defects and the enhancement of existing methods will increase their accuracy, improves performance and increases their applicability in the face of large-scale real-world structures. Therefore, the main purpose of this study is evaluation and improvement of the existing methods for output measurement of structures using image processing applicable for dynamic parameter identification strategies. In addition to the proposed goals, the use of practical methods to expand the number of pixels of images, the ability to use free markers and improve the camera calibration method will be also followed. All methods investigated and developed in this study have been evaluated by comparison with laboratory structures and real-scaled structures (i.e., railway bridges). It was observed that the proposed methods are independent of installing artificial markers on the structure with the ability to calibrate with free markers and while having acceptable accuracy, reasonable computational efficiency and sufficient applicability in real-world structures
  9. Keywords:
  10. Structural Health Monitoring ; Camera Calibration ; Digital Image Correlation ; Template Matching ; Image Processing ; Real Scale Structures ; Image Frequency Increase the level

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