Chang C.MChiang H.F.CHIA-MING CHANG2021-08-052021-08-052018https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064685637&partnerID=40&md5=5db539fe0952628b577db46f98f297c6https://scholars.lib.ntu.edu.tw/handle/123456789/575992Dynamics characteristics such as natural frequencies and mode shapes presents current performance of structures. Due to natural hazards or aging problems, structures may have degraded strength or reduced stiffness that can induce a critical safety issue. Thus, damage detection methods based on vibrational measurements of structures become important to diagnose integrity of structures. In this study, six mode shape-based damage detection methods are numerically investigated based on the first mode shape to evaluate effectiveness of determining damage existence and locations. These methods include the mode shape curvature method, bending energy damage index method, the modal assurance criterion method, strain energy damage index method, continuous wavelet transform method, and the method of changes in the first mode shape slopes. First, a bunch of mode shapes are obtained from the numerical model of a shear-type ten-story building with various damage patterns in terms of story stiffness. The finite difference method is exploited to compute the slopes and curvatures of mode shapes. In numerical examples, these six methods are explored to evaluate the capabilities of detecting a single and multiple damage locations. As seen in the results, the strain energy damage index, continuous wavelet transform, and first mode shape slopes methods exhibit high performance to determine damage existence and locations. ? APWSHM 2018. All rights reserved.Finite difference method; Location; Numerical methods; Stiffness; Strain energy; Structural health monitoring; Wavelet transforms; Continuous Wavelet Transform; Damage localization; Dynamics characteristic; Modal assurance criterion; Mode shape curvatures; Mode shapes; Natural frequencies and modes; Numerical investigations; Damage detectionconference paper2-s2.0-85064685637