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• W3208182145 abstract "Composites have substituted traditional materials in almost every engineering and structural application because of their extraordinary performance but still, they are not exempt from limitations and problems. Despite being a multiphase material, their mechanism of damage initiation and propagation leading to failure are well established and the problem is that these damages or failures are not visible always. So, even when the overall structure is still intact, it is essential to study their performance during operational conditions in real-time to avoid any catastrophic incident. Thus, in-situ structural health monitoring was developed in which structural data can be collected and analyzed in real-time to identify the presence of damage. The study conducted in this research is within the framework of development affective and robust sensor system which can monitor not only the deformation in composite structures in real-time but also can detect damage initiation and damage propagation under different loading conditions. In this study, three different sensor systems are developed using smart functional materials to study their effectiveness in monitoring deformation in composites in different directions and positions under different quasi-static loadings. An additional goal of this research was to study the detection behavior of each sensor system and demonstrate whether they can identify the type of deformation besides their detection in real-time. The results established that each sensor system exhibited good potential as a flexible strain sensor for in-situ monitoring of composites and their arrangement can provide detection over a large section and unapproachable locations. The comparison of their results assisted in the selection of better sensor systems which is then utilized to detect damage and final fracture in composites during overall mechanical behavior under quasi-static and dynamic loadings. This study provides a comprehensive understanding regarding the detection behavior of different sensor systems under different operational loads and also shows that the position and direction of the sensor within the sample plays a vital role in it. Based on this detailed comparison, the selected sensor system does not only monitor the deformation in real-time but also, detect damage initiation, identify the type of damage, quantifies them, and also sense damage propagation under both quasi-static and dynamic loadings. Moreover, numerical models are developed to verify the detection behavior of this sensor system to verify the experimental results. Numerical results not only validated the experimental mechanical behavior of the composite sample but also confirmed the detection signal of the sensor placed in different positions and directions within the composite sample. This research study has resulted in several publications in rank A journals (6 articles), 1 chapter in a book, 1 publication in SPIE digital library, and 5 oral presentations in different conferences." @default.
• W3208182145 created "2021-11-08" @default.
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• W3208182145 date "2020-07-10" @default.
• W3208182145 modified "2023-09-24" @default.
• W3208182145 title "Development of a new generation of fiber sensors for structural health monitoring in composites in real-time" @default.
• W3208182145 hasPublicationYear "2020" @default.
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