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Optimal Sensor Placement for Enhanced Efficiency in Structural Health Monitoring of Medium-Rise Buildings.
Saeed, Salman; Sajid, Sikandar H; Chouinard, Luc.
Affiliation
  • Saeed S; National Institute of Urban Infrastructure Planning, University of Engineering & Technology, Peshawar 25000, Pakistan.
  • Sajid SH; Civil Engineering, McGill University, Montreal, QC H3A 0C3, Canada.
  • Chouinard L; Civil Engineering, McGill University, Montreal, QC H3A 0C3, Canada.
Sensors (Basel) ; 24(17)2024 Aug 31.
Article in En | MEDLINE | ID: mdl-39275597
ABSTRACT
Output-only modal analysis using ambient vibration testing is ubiquitous for the monitoring of structural systems, especially for civil engineering structures such as buildings and bridges. Nonetheless, the instrumented nodes for large-scale structural systems need to cover a significant portion of the spatial volume of the test structure to obtain accurate global modal information. This requires considerable time and resources, which can be challenging in large-scale projects, such as the seismic vulnerability assessment over a large number of facilities. In many instances, a simple center-line (stairwell case) topology is generally used due to time, logistical, and economic constraints. The latter, though a fast technique, cannot provide complete modal information, especially for torsional modes. In this research, corner-line instrumented nodes layouts using only a reference and a roving sensor are proposed, which overcome this issue and can provide maximum modal information similar to that from 3D topologies for medium-rise buildings. Parametric studies are performed to identify the most appropriate locations for sensor placement at each floor of a medium-rise building. The results indicate that corner locations at each floor are optimal. The proposed procedure is validated through field experiments on two medium-rise buildings.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland