Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications. (15th February 2019)

• Record Type: Journal Article
• Authors: Yan, Wang-Ji; Zhao, Meng-Yun; Sun, Qian; Ren, Wei-Xin
• Is Part Of: Mechanical systems and signal processing. Volume 117(2019)
• Page Start: 453
• Page End: 482
• Publication Date: 2019-02-15
• Subjects: Transmissibility function -- Structural health monitoring -- Modal analysis -- Damage detection -- Model updating; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.06.053
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: First review paper focused on transmissibility-based system identification. Fundamental concepts of transmissibility and its basic properties are summarized. The literature review categorizes transmissibility functions as local and global. Application of transmissibility function in modal analysis, damage detection and model updating are reviewed. Gaps requiring additional work and possible future trends are highlighted. Abstract: The difficulty of achieving controlled input has led to the development of new output-only structural health monitoring (SHM) approaches. Without measuring the input or assuming a specific input model, a transmissibility function (TF) as a mathematical representation of the output-to-output relationship has proven to be an attractive tool in SHM. The state of the art and challenges to TF analysis that cast SHM in the context of a system identification (SI) paradigm are reviewed and discussed in this study. This review starts with an overview of the fundamentals of TFs by illustrating its categories, connections with frequency response functions (FRFs), and basic properties. By categorizing TFs as local and global, this literature review limits the practice of various methodologies to the following key aspects: modal analysis, damage detection, and model updating. A brief treatment of the basic ideas is presented while a comprehensive and critical explanation of their contents is not attempted. Based on the review, existing studies are discussed, highlighting gaps requiring additional work and possible future trends for TF-based system identification.