Experimental Validation of Normalized Uniform Load Surface Curvature Method for Damage Localization

Sensors

Seung-Hoon Sung¹  Ho-Yeon Jung²  Hyung-Jo Jung² 

[1] Agency for Defense Development, Yusong P.O.Box 35, DaeJeon 305-600, Korea;Department of Civil and Environmental Engineering, Korea Advanced Institute ofScience and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea;

关键词: modal flexibility;    ULS;    ULS curvature;    NULS;    normalization;    damage localization;   

DOI  :  10.3390/s151026315

来源: DOAJ

【 摘 要 】

In this study, we experimentally validated the normalized uniform load surface (NULS) curvature method, which has been developed recently to assess damage localization in beam-type structures. The normalization technique allows for the accurate assessment of damage localization with greater sensitivity irrespective of the damage location. In this study, damage to a simply supported beam was numerically and experimentally investigated on the basis of the changes in the NULS curvatures, which were estimated from the modal flexibility matrices obtained from the acceleration responses under an ambient excitation. Two damage scenarios were considered for the single damage case as well as the multiple damages case by reducing the bending stiffness (EI) of the affected element(s). Numerical simulations were performed using MATLAB as a preliminary step. During the validation experiments, a series of tests were performed. It was found that the damage locations could be identified successfully without anyfalse-positive or false-negative detections using the proposed method. For comparison, the damage detection performances were compared with those of two other well-known methods based on the modal flexibility matrix, namely, the uniform load surface (ULS) method and the ULS curvature method. It was confirmed that the proposed method is more effective for investigating the damage locations of simply supported beams than the two conventional methods in terms of sensitivity to damage under measurement noise.

【 授权许可】

Unknown