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机译:基于模糊聚类和主成分投影减少的实测FRF数据的桁架桥模型结构损伤检测
MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou 510632, China,Department of Mechanics and Civil Engineering, Jinan University, Guangzhou 510632, China;
MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou 510632, China,The 5th Electronics Research Institute of the Ministry of Industry and Information Technology, Guangzhou 510610, China;
MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou 510632, China,School of Materials Science and Engineering, Hebei University of Technology, Tianjin 300130, China;
structural health monitoring; truss bridge; structural damage detection; eigenspace projections; fuzzy clustering;
机译:使用人工神经网络进行结构损伤检测,并通过主成分保护降低实测FRF数据
机译:结合了神经网络和简化的FRF技术,使用测得的响应数据进行轻微损伤检测
机译:基于主成分分析和多元控制图的桁架结构损伤识别
机译:基于主成分分析的减少FRF数据的38层建筑模型地震损伤评估
机译:用于设计,损伤检测和结构优化的结构动力学参数化降阶模型。
机译:基于CEEMDAN Hilbert变换神经网络方法的结构损伤定位和量化:钢桁架桥模型案例研究
机译:使用通过主成分分析减少的实测FRF数据评估38层建筑模型的地震破坏