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Abstract

This article examines the use of new methods to assess the safety of civil engineering systems. Currently, safety is very important in the design and construction of civil structures and systems and should be evaluated with appropriate methods. The new methods discussed in this article include the error and risk factor analysis method, code coverage analysis method, dangerous mode analysis method, neural network analysis method, and state space analysis method. The purpose of using these methods is to identify and find errors and risk factors in construction systems. The occurrence of failure in some civil engineering systems such as structures (such as trusses and frames), underground arterial networks (such as water and gas networks), etc., usually with a logical equation A complex or a combination of multiple failure events is expressed. Unlike the existing methods of reliability analysis, MSR and SCM methods are used in any type of system, including series, parallel and complex, and even can consider the dependence between parameters. don't Unlike old methods, new methods do this automatically and accurately using artificial intelligence and machine learning algorithms. These methods can identify small and large errors in construction systems and increase safety and reduce the risks associated with them. The sequential combination method can be used for systems with a large number of components, without adding to the cost and time of calculations. In general, using new methods to assess the safety of civil engineering systems improves performance and reduces risks in civil systems. Considering the potential of these methods, more research is needed in the field of their use in the operational industry. Also, the results show the high speed and accuracy of this method in calculating the reliability of structural systems, compared to other existing methods

Keywords

Reliability system safety evaluation new safety methods

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Saif safaa shaker, Zahraa Sabah Hasan, Amjaad Hameed, Maha hasan kareem, Shrf Al Deen Hussein, Albo Jasim Ahmed Hazzaa Ibrahim, AHMED SHAHADHA HUSSEIN, Anas Kareem Hussein, & RIYAM ALAA MARYOOSH. (2023). Using new methods to assess the safety of civil engineering systems. Texas Journal of Engineering and Technology, 22, 43–48. Retrieved from https://zienjournals.com/index.php/tjet/article/view/4270

References

  1. J. Song and W.-H. Kang, "Risk-quantification of complex systems by matrix-based system reliability method," Hospital, vol. 2, p. 2019.
  2. J. Song and W.-H. Kang, "System reliability and sensitivity under statistical dependence by matrix based system reliability method," Structural Safety, vol. 31, pp. 148-156, 2019.
  3. P. Cosentino, V. Ficarra, and D. Luzio, "Truncated exponential frequency- magnitude relationship in earthquake statistics," Bulletin of the Seismological Society of America, vol. 67, pp. 1615-1623, 2016.
  4. K. W. Campbell, "Empirical near-source attenuation relationships for horizontal and vertical components of peak ground acceleration, peak ground velocity, and pseudo-absolute acceleration response spectra," Seismological Research Letters, vol. 68, pp. 154-179, 2017.
  5. P. Gardoni, A. Der Kiureghian, and K. M. Mosalam, "Probabilistic capacity models and fragility estimates for reinforced concrete columns based on experimental observations," Journal of Engineering Mechanics, vol. 128, pp. 1024-1038, 2012.
  6. W.-H. Kang, J. Song, and P. Gardoni, "Matrixbased system reliability method and applications to bridge networks," Reliability Engineering & System Safety, vol. 93, pp. 1584-1593, 2018.
  7. L. Chang and J. Song, "Matrix-based system reliability analysis of urban infrastructure networks: A case study of MLGW natural gas network," Urbana, vol. 51, p. 61801, 2007.
  8. T. H. Nguyen, J. Song, and G. H. Paulino, "Single-loop system reliability- based design optimization using matrix-based system reliability method: theory and applications," Journal of Mechanical Design, vol. 132, p. 011005, 2010.
  9. T. H. Nguyen, J. Song, and G. H. Paulino, "Single-loop system reliability- based topology optimization considering statistical dependence between limit-states," Structural and Multidisciplinary Optimization, vol. 44, pp. 593 611, 2011.
  10. W.-H. Kang, Y.-J. Lee, J. Song, and B. Gencturk, "Further development of matrix-based system reliability method and applications to structural systems," Structure and Infrastructure Engineering, vol. 8, pp. 441-457, 2012.
  11. G.-h. Xie, J.-s. Zhang, and R.-g. Liu, "Application of matrix-based system reliability method in complex slopes," Journal of Central South University, vol. 20, pp. 812-820, 2013.
  12. J. Chun, J. Song, G. H. Paulino, and T. H. Nguyen, "system reliability- based topology optimization under stochastic load " 2013.
  13. W.-H. Kang and J. Song, "Evaluation of multivariate normal integrals for general systems by sequential compounding," Structural Safety, vol. 32, pp. 35-41, 2010.
  14. M. Hohenbichler and R. Rackwitz, "First-order concepts in system reliability," Structural safety, vol. 1, pp. 177-188, 1983.
  15. J. Chun, J. Song, and G. H. Paulino, "System reliability based topology optimization of Structures under stochastic excitations," Conference of the Engineering Mechanics Institute and the 11th ASCE, 2013.