Strength and Deflection Reliability Estimation of Girder Steel Portal Frames Using the Bayesian Updating Method

Authors

  • F. H. Fahmi Department of Civil Engineering, College of Engineering, University of Baghdad, Iraq
  • S. Al-Zaidee Department of Civil Engineering, College of Engineering, University of Baghdad, Iraq
Volume: 12 | Issue: 6 | Pages: 9584-9589 | December 2022 | https://doi.org/10.48084/etasr.5261

Abstract

Uncertainty is ubiquitous in any engineering system at any stage of product development and throughout a product's life cycle. As information and sensor technology develops, more and more data about engineering systems are gathered. A strong technique for calibrating models using new information and observations is Bayesian updating. The applied loads, yield strength, plastic section modulus, span, cross-section dimensions, and modulus of elasticity from the international literature have been updated through the local literature and a data survey for the interior girder portal frames to investigate the reliability index and the probability of failure of the system. First Order Reliability Method (FORM) and Monte Carlo (MC) simulations have been used to estimate the reliability and probability of failure of strength and serviceability limit state function. The results reveal that for shear force, the reliability index increased significantly from 9.03 to 16.01. At the same time, the reliability index of the bending moment and deflection increased from 4.34 to 5.30 and from 6.90 to 7.66 respectively.

Keywords:

Interior supporting frame, bayesian method, sample data, prior data, posterior data, FORM, MCs, reliability

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[1]
F. H. Fahmi and S. Al-Zaidee, “Strength and Deflection Reliability Estimation of Girder Steel Portal Frames Using the Bayesian Updating Method”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 6, pp. 9584–9589, Dec. 2022.

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