• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Ni, Y. Q. (Ni, Y. Q..) [1] | Xia, Y. (Xia, Y..) [2] | Lin, W. (Lin, W..) [3] (Scholars:林伟) | Chen, W. H. (Chen, W. H..) [4] | Ko, J. M. (Ko, J. M..) [5]

Indexed by:

Scopus SCIE

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 real-world monitoring data from a large-scale structure, and to narrow the gap that currently exists between the research and the practice of SHIM. 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.

Keyword:

benchmark problem field monitoring data finite element model high-rise structure structural health monitoring

Community:

  • [ 1 ] [Ni, Y. Q.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
  • [ 2 ] [Xia, Y.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
  • [ 3 ] [Lin, W.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
  • [ 4 ] [Chen, W. H.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
  • [ 5 ] [Ko, J. M.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
  • [ 6 ] [Lin, W.]Fuzhou Univ, Coll Civil Engn, Fuzhou 350002, Peoples R China
  • [ 7 ] [Chen, W. H.]Sun Yat Sen Univ, Dept Appl Mech & Engn, Guangzhou 510275, Guangdong, Peoples R China

Reprint 's Address:

  • [Ni, Y. Q.]Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China

Show more details

Related Keywords:

Related Article:

Source :

SMART STRUCTURES AND SYSTEMS

ISSN: 1738-1584

Year: 2012

Issue: 4-5

Volume: 10

Page: 411-426

1 . 4 3

JCR@2012

2 . 1 0 0

JCR@2023

ESI Discipline: ENGINEERING;

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 107

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:85/10041416
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1