Reversed Cyclic Tests of 1/13 Scale Cylindrical Concrete Containment Structures

Wu, Chiun-Lin; Hsu, Thomas T. C.; Chang, Chiung Chih; Lu, Hu-Jhong; Yang, Hui; Chang, Chang-Ching; Chen, Yu‐Chih; Yang, Yuan–Sen

doi:10.1007/978-981-13-3278-4_9

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The proposed image-based shear and flexural damage indices were tested using two RC structural experiments [22]. The specimens were reduced-scale RC containment vessels (RCCVs), i.e., relatively short and wide tubular structures.…”

Section: Methodsmentioning

confidence: 99%

“…The hysteresis loops of these specimens (see Figure 10c,d) show that the tangential stiffness did not significantly change until the cyclic displacements reached +/−3 mm. Details of the experimental results and explanations can be found in [22].…”

Section: Methodsmentioning

confidence: 99%

“…This work develops an image analysis-based damage indexing method following a previously developed image-based crack measurement method. This method is tested using two cyclic tests of RC containment vessels [22]. The vessels are shear critical with a large number of shear cracks induced by only a small displacement.…”

Section: Introductionmentioning

confidence: 99%

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Damage Indexing Method for Shear Critical Tubular Reinforced Concrete Structures Based on Crack Image Analysis

Yang

Chang

2019

Sensors

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Image analysis techniques have been applied to measure the displacements, strain field, and crack distribution of structures in the laboratory environment, and present strong potential for use in structural health monitoring applications. Compared with accelerometers, image analysis is good at monitoring area-based responses, such as crack patterns at critical regions of reinforced concrete (RC) structures. While the quantitative relationship between cracks and structural damage depends on many factors, cracks need to be detected and quantified in an automatic manner for further investigation into structural health monitoring. This work proposes a damage-indexing method by integrating an image-based crack measurement method and a crack quantification method. The image-based crack measurement method identifies cracks locations, opening widths, and orientations. Fractal dimension analysis gives the flexural cracks and shear cracks an overall damage index ranging between 0 and 1. According to the orientations of the cracks analyzed by image analysis, the cracks can be classified as either shear or flexural, and the overall damage index can be separated into shear and flexural damage indices. These damage indices not only quantify the damage of an RC structure, but also the contents of shear and flexural failures. While the engineering significance of the damage indices is structure dependent, when the damage indexing method is used for structural health monitoring, the damage indices safety thresholds can further be defined based on the structure type under consideration. Finally, this paper demonstrates this method by using the results of two experiments on RC tubular containment vessel structures.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%