Methodology of the Design Automatic System of Structural Monitoring of the Technical Health of Buildings and Structures

Authors

  • A. V. Basko Prydniprovska State Academy of Civil Engineering and Architecture
  • O. A. Ponomarova Prydniprovska State Academy of Civil Engineering and Architecture

DOI:

https://doi.org/10.31649/1997-9266-2022-163-4-64-71

Keywords:

automatic monitoring system, sensor network, wireless sensor, damage identification

Abstract

The development of smart systems in various architectural structures leads to the fact that if earlier information about the structural condition was not always important, now when talking about the safety of the population, it is a very high-priority information and direction of research. In general, systems for monitoring the condition of structures allow identification, localization and assessment of damage. Such information about the object allows making appropriate decisions in advance to eliminate possible emergency situations. To solve the task of developing a methodology for the design of an automatic structural monitoring system for various architectural structures, a list of stages that allow designing the necessary system was proposed. So, the research is generally divided into three main stages. At the first stage, topologies of sensor networks are considered. Questions regarding the choice of topology for a wireless sensor network are discussed, and the main advantages and disadvantages of each topology are presented. This will allow to choose the right topology for the system. At the second stage, the levels of damage identification that must be performed, which approaches are based on the used algorithms for damage detection are considered. The most popular algorithms used for damage identification are also listed, their disadvantages and advantages were displayed. The third stage is devoted to the selection of the element base of the sensor node, the comparative characteristics of digital and analog accelerometers are highlighted. Also in this section, popular digital accelerometers are presented and an analysis of the characteristics of how and what is affected by each of them is performed. It was described what characteristics should be taken into account when choosing a microcontroller. When designing, it is necessary to take into account the location of sensor nodes and how this affects the distance of data transmission.

Author Biographies

A. V. Basko, Prydniprovska State Academy of Civil Engineering and Architecture

Post-Graduate Student of the Chair of Information Technology and Applied Mathematics

O. A. Ponomarova, Prydniprovska State Academy of Civil Engineering and Architecture

Cand. Sc. (Eng.), Associate Professor, Head of the Chair of Information Technology and Applied Mathematics

References

A. Araujo et al., “Wireless Measurement System for Structural Health Monitoring With High Time-Synchronization Accuracy,” IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 3, pp. 801-810, 2012. https://doi.org/10.1109/tim.2011.2170889 .

E. Sazonov, Li. Haodong, D. Curry, and P. Pillay, “Self-Powered Sensors for Monitoring of Highway Bridges,” IEEE Sensors Journal, vol. 9, no. 11, pp. 1422-1429, 2009. https://doi.org/10.1109/jsen.2009.2019333 .

J. A. Rice et al., “Flexible smart sensor framework for autonomous structural health monitoring,” Smart Structures and Systems, vol. 6, no. 5_6, pp. 423-438, 2010. https://doi.org/10.12989/sss.2010.6.5_6.423 .

H. Fu, Z. Sharif Khodaei, and M. H. F. Aliabadi, “An Event-Triggered Energy-Efficient Wireless Structural Health Monitoring System for Impact Detection in Composite Airframes,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1183-1192, 2019. https://doi.org/10.1109/jiot.2018.2867722 .

J. Pacheco, G. Oliveira, F. Magalhaes, C. Moutinho, and L. Cunha, “Evaluation of low cost vibration based damage detection systems,” Journal of Physics: Conference Series, vol. 1037, no. 052005, pp. 1-8, 2018.

https://doi.org/10.1088/1742-6596/1037/5/052005 .

S. W. Doebling, Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics. Los Alamos, United States: Los Alamos National Laboratory, 1996, 127 p.

G. D. Zhou, and T. H. Yi, “Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring,” Mathematical Problems in Engineering, pp. 1-33, 2013. https://doi.org/10.1155/2013/947867 .

B. F. Spencer, T. Nagayama, and J. A. Rice, “Decentralized structural health monitoring using smart sensors,” SPIE Proceedings, vol. 6932, pp. 1-14, 2008. https://doi.org/10.1117/12.791077 .

H. Sohn et al., A Review of Structural Health Review of Structural Health Monitoring Literature 1996–2001. Los Alamos, United States: Los Alamos National Laboratory, 2002, 301 p.

P. Cao, S. Qi, and J. Tang, “Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis,” Smart Materials and Structures, vol. 27, no. 3, pp. 1-33, 2018. https://doi.org/10.1088/1361-665x/aaacba .

A. Rytter, Vibrational Based Inspection of Civil Engineering Structures. Aalborg, Denmark: Aalborg university, 1993, 193 p.

P. Rizzo, M. Cammarata, D. Dutta, and H. Sohn, “An unsupervised learning algorithm for fatigue crack detection in waveguides,” Smart Materials and Structures, vol. 18, no. 2, pp. 1-11, 2009. https://doi.org/10.1088/0964-1726/18/2/025016 .

M. L. McHugh, “The Chi-square test of independence,” Biochemia Medica, vol. 23, no. 2, pp. 143-149, 2013. https://doi.org/10.11613/bm.2013.018 .

B. E. Rapp, Microfluidics: Modeling, Mechanics and Mathematics. Boston, United States: Elsevier, 2016, 766 p.

R. G. Brereton, “The Mahalanobis distance and its relationship to principal component scores,” Journal of Chemometrics, vol. 29, no. 3, pp. 143-145, 2015. https://doi.org/10.1002/cem.2692 .

Y. Li, and H. Wu, “A Clustering Method Based on K-Means Algorithm,” Physics Procedia, vol. 25, pp. 1104-1109, 2012. https://doi.org/10.1016/j.phpro.2012.03.206 .

N. A. Alqahtani, and Z. I. Kalantan, “Gaussian Mixture Models Based on Principal Components and Applications,” Mathematical Problems in Engineering, pp. 1-13, 2020. https://doi.org/10.1155/2020/1202307 .

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Published

2022-09-02

How to Cite

[1]
A. V. Basko and O. A. Ponomarova, “Methodology of the Design Automatic System of Structural Monitoring of the Technical Health of Buildings and Structures”, Вісник ВПІ, no. 4, pp. 64–71, Sep. 2022.

Issue

No. 4 (2022)

Section

Information technologies and computer sciences

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