The distributed long-gauge fiber Bragg grating sensing technology has been studied and developed in recent years for structural health monitoring of civil engineering structures. Also, the corresponding damage identification method is one of the research hotspots and still needs to be enhanced. In this article, a novel damage detection method based on the distributed long-gauge fiber Bragg grating sensing technique is proposed to detect and localize damages. The method is based on the advanced complete ensemble empirical mode decomposition adaptive noise algorithm. Measured macrostrain responses from the long-gauge fiber Bragg grating sensors are decomposed into intrinsic mode functions, and the quasi-static macrostrains are extrapolated and extracted. A damage indicator is therefore proposed and built based on the quasi-static macrostrain time history. The effectiveness of the proposed damage detection approach was validated by numerical simulations of a cantilever beam. The robustness of the method was further verified by considering the noise pollution contained within the measured macrostrain. Experiments with a practical cantilever steel beam with different damage scenarios were also conducted and studied. Results proved that the proposed method could not only detect but also locate the damages accurately, and therefore has the promising potential for structural damage detection in civil engineering.

中文翻译：

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基于准静态宏观应变的分布式长规光纤布拉格光栅传感结构损伤检测

分布式长规格光纤布拉格光栅传感技术近年来得到了研究和发展，用于土木工程结构的结构健康监测。同时，相应的损伤识别方法也是研究热点之一，仍有待加强。在本文中，提出了一种基于分布式长规格光纤布拉格光栅传感技术的新型损伤检测方法来检测和定位损伤。该方法基于先进的完全集成经验模态分解自适应噪声算法。来自长规格光纤布拉格光栅传感器的测量宏观应变响应被分解为固有模式函数，并外推和提取准静态宏观应变。因此，基于准静态宏观应变时间历史提出并建立了损伤指标。通过悬臂梁的数值模拟验证了所提出的损伤检测方法的有效性。通过考虑测量的宏观应变中包含的噪声污染，进一步验证了该方法的稳健性。还对具有不同损伤情况的实际悬臂钢梁进行了实验和研究。结果证明，所提出的方法不仅可以检测而且可以准确定位损坏，因此在土木工程中的结构损坏检测中具有广阔的前景。通过考虑测量的宏观应变中包含的噪声污染，进一步验证了该方法的稳健性。还对具有不同损伤情况的实际悬臂钢梁进行了实验和研究。结果证明，所提出的方法不仅可以检测而且可以准确定位损坏，因此在土木工程中的结构损坏检测中具有广阔的前景。通过考虑测量的宏观应变中包含的噪声污染，进一步验证了该方法的稳健性。还对具有不同损伤情况的实际悬臂钢梁进行了实验和研究。结果证明，所提出的方法不仅可以检测而且可以准确定位损坏，因此在土木工程中的结构损坏检测中具有广阔的前景。