Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building

Abstract:

Article Preview

This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This methodology can assist professionals in the inspection of mechanical and civil structures, to identify and characterize flaws, in order to perform preventative maintenance to ensure the integrity of the structure and decision-making. In order to evaluate the methodology was made modeling a two-story building and several situations were simulated (base-line condition and improper conditions), yielding a database of signs, which were used as input data for the negative selection algorithm. The results obtained by the present method efficiency, robustness and accuracy.

Info:

Periodical:

Edited by:

Yandong Wang

Pages:

544-549

Citation:

F. Parra dos Anjos Lima et al., "Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building", Applied Mechanics and Materials, Vol. 472, pp. 544-549, 2014

Online since:

January 2014

Export:

Price:

$41.00

[1] A. A. Almusallam. Effect of degree of corrosion on the properties of reinforcing steel bars. Construction and Building Materials. Vol. 15. pp.361-368, (2001).

DOI: https://doi.org/10.1016/s0950-0618(01)00009-5

[2] D. W. Bradley and A. M. Tyrrell. Immunotronics - Novel Finite-State-Machine Architectures with Built-In Self-Test Using Self-Nonself Differentiation. IEEE Transactions on Evolutionary Computation. Vol. 6, p.227–238 (2002).

DOI: https://doi.org/10.1109/tevc.2002.1011538

[3] M. Chandrashekhar; R. Ganguli. Structural damage detection using modal curvature and fuzzy logic. Structural Health Monitoring, USA, v. 8, n. 4, pp.267-282, (2009).

DOI: https://doi.org/10.1177/1475921708102088

[4] F. R. Chavarette and A. L. Toniati. Dinâmica e Controle de um Sistema Estrutural sob Excitação Sísmica. CONEN – Congresso Nacional de Engenharia Mecânica, p.1–11, (2012).

[5] D. Dasgupta. Artficial Immune Systems and Their Applications,. Springer-Verlag New York, Inc., Secaucus, NJ, USA, (1998).

[6] L. N. de Castro and J. TIMMIS. Artificial Immune Systems: A New Computational Intelligence Approach, Springer. 1st edition, (2002).

[7] S. Forrest; A. Perelson; L. Allen and R. Cherukuri. Self-Nonself Discrimination in a computer, Proc. do IEEE Symposium on Research in Security and Privacy, pp.202-212 (1994).

DOI: https://doi.org/10.1109/risp.1994.296580

[8] F. P. A. Lima. Analysis of Voltage Disturbances in Distribution Electrical Systems Based on Artificial Immune Systems, Dissertation, University Estadual Paulista - UNESP, Ilha Solteira, March-2013, 169 p.

[9] Matlab (2011). 7. 8 Version, Mathworks Company.

[10] L. Palaia. Strutural Failure Analysis of timber floors and roofs in ancient buildings at Valencia (Spain). International Conference on Mechanical Behaviour and Failures of the Timber Structures, Florence, p.1–11, (2007).

[11] B. I. Song; H. Seze and K. A. Giriunas. Collapse Performance Evaluation of Steel Building After Loss of Columns. Structures Congress 2012 – ASCE (American Society of Civil Engineers). p.213–224, (2012).

DOI: https://doi.org/10.1061/9780784412367.020

[12] C. Xiang-Jun; G. Zhan-Feng; G. Qiang. Application of wavelet analysis in vibration signal processing of bridge structure. International Conference on Measuring Technology and Mechatronics Automation. p.671–674, (2010).

DOI: https://doi.org/10.1109/icmtma.2010.95

[13] F. L. Wang; T. H. T. Chan; D. P. Thambiratnam and A. C. C. Tan. Damage Diagnosis for Complex Steel Truss Bridges Using Multi-Layer Genetic Algorithm. Journal of Civil structural Health Monitoring, Springer-Verlag, p.117–217, (2013).

DOI: https://doi.org/10.1007/s13349-013-0041-8