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Rapid and Robust Dynamics-Based Nondestructive Method for Aerospace Structural Health Monitoring

机译：基于快速鲁棒动力学的航空航天结构健康监测无损检测方法

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摘要

Report developed under STTR contract for Topic F045-016-0125 addresses dynamic-based damage identification techniques for structural health monitoring (SHM) of aerospace structures. Two systems (i.e., the scanning laser vibrometer (SLV) and PVDF sensor) are used to acquire the dynamic information, and effective damage detection algorithms (e.g., the gapped smoothing method (GSM) and generalized fractal dimension (GFD) and schemes (e.g., the uniform load surface (ULS) and combined static/dynamic techniques) are developed to evaluate the damage. It is demonstrated that both the GSM and GFD methods are capable of identifying damage without baseline information of healthy structure. Application of the static/dynamic approach improves the performance of the damage identification, and the ULS increases the effectiveness of the detection at low modes. In general, the PVDF sensor system is good for acquiring several low curvature mode shapes; while the SLV system can generate higher displacement modes. Utilizing the advantages of each measurement system, the proposed identification algorithms have great potential for viable SHM products, e.g., the PVDF sensor system for on-board and the SLV system for portable on-site monitoring. The proposed sensor systems and developed identification techniques pave the foundation for further refinement of the dynamics-based method, field implementation and commercial development.

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