Optimal Sensor Placement in Structures Using Improved Adaptive Genetic Algorithm with Modified Modal Assurance Criteria for SHM Systems

Authors

  • P. Kalima Benazir Department of Electronics & Communication Engineering, National College of Engineering, Tirunelveli-627151, Tamil Nadu, India
  • P. Suresh Department of Electronics & Communication Engineering, National College of Engineering, Tirunelveli-627151, Tamil Nadu, India

DOI:

https://doi.org/10.37591/jomtra.v3i1.682

Abstract

With the growth of advanced constructive engineering technology, more and more large-scale structures, such as buildings, towers, wharfs, and so many other structures have been built all over the world. Due to uncontrolled environment, these civil infrastructures may be damaged severely by the natural disasters and the man made changes around the environment. To avoid this, monitoring of structure is necessary and it is done with the help of structural health monitoring (SHM) systems. In this system, optimal sensor placement (OSP) is an important part of monitoring to increase the ability of ensuring data accuracy. However, some defects are present in the existing method, such as the initial sensor locations and the long computation time. A new OSP method named MSE-IAGA is presented in this paper to settle the issue. First, a modal strain energy (MSE) method is proposed to locate the initial number of sensors in the structural building. Then, an improved adaptive genetic algorithm (IAGA), which uses the root mean square of off-diagonal elements in the modified modal assurance criterion (MMAC) matrix as the fitness function, is proposed to place optimal number of sensors for enhanced computational efficiency. A study of sensor placement on a numerically simulated three storey building structure is provided to verify the effectiveness of the MSE-IAGA strategy.

Keywords: Optimal sensor placement, structural health monitoring, improved genetic algorithm, modified modal assurance criterion

 

Cite this Article
Kalima Benazir P, Suresh P. Optimal Sensor Placement in Structures Using Improved Adaptive Genetic Algorithm with Modified Modal Assurance Criteria for SHM Systems. Journal of Multimedia Technology & Recent Advancements. 2016; 3(1): 30–37p.

References

Bhattacharya B. Disaster Mitigation of Large Infrastructure Systems. In Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM’12), Bombay, India. Jan 2013; 477–482p.

Jang S, Jo H, Cho S, et al. Structural Health Monitoring of a Cable-Stayed Bridge Using Smart Sensor Technology: Deployment and Evaluation. Smart Struct Syst. 2010; 6(5–6): 439–459p.

Li B, Li D, Zhao X, et al. Optimal Sensor Placement in Health Monitoring of Suspension Bridge. Sci China Technol Sci. 2012; 55(7): 2039–2047p.

Friswell MI, Mottershead JE. Finite Element Modal Updating in Structural Dynamics. Netherlands: Kluwer Academic Publishers; 1995.

Boller C, Chang FK, Fujino Y. Encyclopedia of Structural Health Monitoring. New York, USA: John Wiley & Sons; 2009.

Carne TG, Dohmann CR. A Modal Test Design Strategy for Modal Correlation. In Proceedings of the 13th International Modal Analysis Conference, Schenectady, NY, USA. 1995; 927–933p.

Ting-Hua Yi, Hong-Nan Li. Methodology Developments in Sensor Placement for Health Monitoring of Civil Infrastructures. Int J Distrib Sens Netw. 2012.

Dong-Sheng Li, Hong-Nan Li, Claus-Peter Fritzen. A Note on Fast Computation of Effective Independence through QR Downdating for Sensor Placement. Mech Syst Signal Process. 2009; 23: 1160–1168p.

Kammer DC. Sensor Placement for On-Orbit Modal Identification and Correlation of Large Space Structures. J Guid Control Dyn. 1991; 14(2): 251–59p.

Chiu PL, Lin Frank YS. A Simulated Annealing Algorithm to Support the Sensor Placement for Target Location. CCECE 2004-CCGEI, Niagara Falls. 2004. 0-7803-8253-6/04.

Lin XK, Zhang LM, Guo QT, et al. Application of Co-Evolutionary Genetic Algorithm in Optimal Sensor Placement. Journal of Vibration and Shock. 2009; 28(3): 190–194p.

Gao H, Rose JL. Sensor Placement Optimization in Structural Health Monitoring Using Genetic and Evolutionary Algorithms. In Proceedings of SPIE, Smart Structures and Materials, San Diego, Calif, USA. 2006; 6174: 1687–1693p.

Petro SH, Chen SE, Ganga Rao HVS, et al. Damage Detection Using Vibration Measurements. In: IMAC XV-15th International Modal Analysis Conference. 1997.

Pickrel CR. Practical Approach to Modal Pretest Design. Mech Syst Signal Process. 1999; 13(2): 271–295p.

Shi ZY, Law SS, Zhang LM. Structural Damage Detection from Modal Strain Energy Change. J EngMech. 2001; 126(12): 1216–1223p.

Yan WJ, Huang TL, Ren WX. Damage Detection Method Based on Element Modal Strain Energy Sensitivity. Adv Struct Eng. 2010; 13(6): 1075–1088p.

Srinivas M, Patnaik LM. Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms. IEEE Trans Syst Man Cybern. 1994; 24(4): 656–667p.

Huang MS, Li J, Zhu HP. Optimal Sensor Layout for Bridge Health Monitoring Based on Dual Structure Coding Genetic Algorithm. In Proceedings of the 2nd International Conference on Computational Intelligence and Software Engineering, Wuhan, China. 2010; 1–4p.

Brehm M, Zabel V, Bucher C. An Automatic Mode Pairing Strategy Using an Enhanced Modal Assurance Criterion Based on Modal Strain Energies. J. of Sound and Vibration. 2010; 329: 5375–5392p.

Downloads

Published

2016-04-26

Issue

Vol. 3 No. 1 (2016)

Section

Review Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.