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Smart Structures and Systems Volume 10, Number 4, October - November 2012 , pages 411-426 DOI: https://doi.org/10.12989/sss.2012.10.4_5.411 |
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SHM benchmark for high-rise structures: a reduced-order finite element model and field measurement data |
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Y.Q. Ni, Y. Xia, W. Lin, W.H. Chen and J.M. Ko
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| Abstract | ||
| 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 realworld 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 reducedorder 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. | ||
| Key Words | ||
| structural health monitoring; benchmark problem; high-rise structure; finite element model; field monitoring data | ||
| Address | ||
| Y.Q. Ni, Y. Xia1, W. Lin, W.H. Chen and J.M. Ko : Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong W. Lin : College of Civil Engineering, Fuzhou University, Fuzhou, China W.H. Chen : Department of Applied Mechanics and Engineering, Sun Yat-sen University, Guangzhou, China | ||