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논문 기본 정보

자료유형
학술저널
저자정보
Ni, Y.Q. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) Xia, Y. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) Lin, W. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) Chen, W.H. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) Ko, J.M. (Department of Civil and Structural Engineering, The Hong Kong Polytechnic University)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제10권 제4호
발행연도
2012.1
수록면
411 - 426 (16page)

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The Canton Tower (formerly named Guangzhou New TV Tower) of 610 m high has been instrumented with a long-term structural health monitoring (SHM) system consisting of over 700 sensors of sixteen types. Under the auspices of the Asian-Pacific Network of Centers for Research in Smart Structures Technology (ANCRiSST), an SHM benchmark problem for high-rise structures has been developed by taking the instrumented Canton Tower as a host structure. This benchmark problem aims to provide an international platform for direct comparison of various SHM-related methodologies and algorithms with the use of real-world monitoring data from a large-scale structure, and to narrow the gap that currently exists between the research and the practice of SHM. This paper first briefs the SHM system deployed on the Canton Tower, and the development of an elaborate three-dimensional (3D) full-scale finite element model (FEM) and the validation of the model using the measured modal data of the structure. In succession comes the formulation of an equivalent reduced-order FEM which is developed specifically for the benchmark study. The reduced-order FEM, which comprises 37 beam elements and a total of 185 degrees-of-freedom (DOFs), has been elaborately tuned to coincide well with the full-scale FEM in terms of both modal frequencies and mode shapes. The field measurement data (including those obtained from 20 accelerometers, one anemometer and one temperature sensor) from the Canton Tower, which are available for the benchmark study, are subsequently presented together with a description of the sensor deployment locations and the sensor specifications.

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