z-logo
open-access-imgOpen Access
Research on Optimal Sensor Placement Based on Reverberation Matrix for Structural Health Monitoring
Author(s) -
Haifeng Yang,
Ziyan Wu,
Shukui Liu,
Hongbin Sun
Publication year - 2012
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2012/454530
Subject(s) - computer science , structural health monitoring , benchmark (surveying) , reverberation , wireless sensor network , bridge (graph theory) , matrix (chemical analysis) , independence (probability theory) , real time computing , algorithm , acoustics , structural engineering , mathematics , medicine , computer network , statistics , physics , materials science , engineering , composite material , geography , geodesy
Adequate sensor placement plays a key role in such fields as system identification, structural control, damage detection, and structural health monitoring (SHM) of large-scale civil infrastructures. Many optimal sensor placement (OSP) methods have been developed for general optimized solution searches. Due to the limitations of equipment facilities and cost, the number of sensors to be installed in a structure is relatively few. It is very important to determine the necessary number of sensors to be installed and where to deploy these sensors. Taking into account energy attenuate during the signal propagation, combined with classic reverberation matrix method, a two-step method is proposed to determine the sensors arrangement using the scattering matrix in this paper. First, calculate the utmost distance of wave propagation on a special structure by the principle of elastic wave propagation and determine the preliminary number of sensors; second, the utmost distance and number of sensors are applied to a sensor optimization algorithm named Effective Independence Driving-Point Residue method. In the bridge benchmark model case study, it shows the validity of proposed method under a special detection system. © 2012 Hai-feng Yang et al.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom