| Calibration, quantification and optimization are necessary but challenging tasks to be performed for any structural health monitoring system before implementation. In this investigation, a new model-based impact detection technique with ease of calibration is first proposed for composite structures subjected to non-penetration low-velocity foreign object impact. A quantification method and validation procedures based on the probability of detection were then proposed for quantifying the accuracy and for validating the test results of the proposed passive sensing system. Finally, an optimization method based on a genetic algorithm was proposed to determine the optimal sensor layout and the number of sensors to achieve the highest probability of detection. |
