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    题名: A Displacement Frequency Response Function-Based Approach for Locating Damage to Building Structures
    作者: Kao, Ching-Yun
    Chen, Xuan-Zhi
    Hung, Shih-Lin
    贡献者: Chia Nan Univ Pharm & Sci, Dept Appl Geoinformat
    Natl Chiao Tung Univ, Dept Civil Engn
    日期: 2020
    上传时间: 2022-11-18 11:21:56 (UTC+8)
    出版者: Hindawi Ltd
    摘要: Frequency response function (FRF) data can provide considerably more information on damage in the desired frequency range as compared to modal data extracted from a very limited range around resonances. Among structural health monitoring techniques, FRF-based methods have the potential to locate structural damage. Conventional structural damage detection technology collects structural response data using contact systems, such as displacement or acceleration transducers. However, installing these contact systems can be costly in terms of labor, cost, and time. Several noncontact measurement technologies, such as optical, laser, radar, and GPS, have been developed to overcome these obstacles. Given the rapid advances in optical imaging hardware technology, the use of digital photography in structural monitoring systems has attracted considerable attention. This study develops a displacement FRF-based approach to locate damage to building structures. The proposed damage location index, CurveFRFDI, improves the sensitivity of SubFRFDI, which is a substructure FRF-based damage location index proposed by Lin et al. (2012). Moreover, the feasibility of applying the proposed approach to locate damage to building structures using displacement measured by a digital camera combined with digital image correlation techniques is also investigated in this study. A numerical example and an experimental example are presented to demonstrate the feasibility of using the proposed approach to locate damage to building structures for single and multiple nonadjacent damage locations.
    關聯: Advances In Civil Engineering, v.2020, pp.23
    显示于类别:[Dept. of Applied Geoinformatics] Periodical Articles

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