Title: Sensor placement optimisation for Dalian international trade mansion focusing on application demands

Authors: Ting-Hua Yi; Hong-Nan Li; Ming Gu

Addresses: School of Civil Engineering, Dalian University of Technology, Dalian 116023, China ' School of Civil Engineering, Dalian University of Technology, Dalian 116023, China ' State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China

Abstract: The research on optimal locating sensors was carried on the Dalian International Trade Mansion (DITM), the tallest building in the north of China, with the aim of maximising the data information so that structural dynamic behaviour may be fully characterised. Since the sensors can only be arranged in the translational degrees of freedom (DOF) of the structure in the state-of-the-practice, a method based on the simplified finite element (FE) model which is able to avoid distinguishing the translational and rotational DOFs is presented. To demonstrate the effectiveness of the proposed approach and compare the different sensor placement techniques, the effective independence (EfI) method, EfI-DPR (the driving-point residue, DPR) and Uniform methods were employed. The calculation results show that the presented approach is easy in understanding and could be used practically by civil engineers. EfI method provides a more effective method for optimal sensor placement than other ones to identify the vibration characteristics of the studied building.

Keywords: OSP; optimal sensor placement; SHM; structural health monitoring; DITM; Dalian International Trade Mansion; effective independence; sensor location; China; finite element method; FEM; modelling; civil engineering; building monitoring.

DOI: 10.1504/IJSNET.2014.063885

International Journal of Sensor Networks, 2014 Vol.15 No.3, pp.157 - 162

Received: 20 Jan 2014
Accepted: 21 Jan 2014
Published online: 24 Jul 2014 *

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