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Probabilistic Assessment of the Design of Steel Plate Girders
Subject area: Science,Engineering and Technology · Area of research: Civil Engineering
Abstract
Steel plate girders under uniformly distributed load (UDL) and point loads designs were compared with test results obtained from literature. The results showed a reasonable prediction of the capacity of the plate girder, although there are cases of under and over estimation of the capacity. Probabilistic technique was therefore employed to examine the consistencies of the design provisions. The results obtained showed that with all the basic variables assuming normal distribution, the implicit reliability levels, ?, decreases from 4.96 to 2.08 for span range of 11 to 14m in girders subjected to UDL in bending. For shear condition ? values ranged from 4.89 to 2.00 for span range of 14 to 23m. With girder subjected to point load, in bending, ? ranged from 4.90 to 2.15 for span varying from 12 to 19m while the shear condition showed a constant reliability level of about 4.69 for all the variables assuming normal distribution. The sensitivity analysis conducted to examine influence of the values of the basic design variables on the implied reliability levels showed that the most significant variables are the yield strength of the steel and the depth of the section of the plate girder. The implication of this is that these two design parameters need serious consideration.
Keywords
Plate Girder, Probabilistic Techniques, Reliability Levels, Sensitivity Analysis.
References
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[2] Brestler, B., Lin, T. Y. and Scalzi J. B. (1968): Design of Steel Stuctures, 2nd Edition, John Wiley and Sons, Inc. New York.
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[4] Blockley, D. I. (1980): The nature of Structural Design and Safety, Ellis Horwood, Ltd, England.
[5] Ang, A. H-S. and Tang, W. H. (1984): Probability Concept in Engineering and Design, Vol. II; Decision, Risk and Reliability, John Willey and Sons, New York.
[6] Ang, A. H-S. (1973): Structural Risk Analysis and Reliability Based Design, Journal of the Structural Division, ASCE, Vol. 99, No ST9, pp 1891-1910.
[7] Rice, P. F. and Hoffman, E. S. (1976): Structural Design Guide to AISC Specification for Buildings, Van Norstrand Reinhold Coy. New York.
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[9] Basler, K. (1961): Strength of Plate Girder in Shear: Journal of the Structural Division, ASCE, Vol 87, No ST7 pp 151-180.
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How to cite this paper
@article{1705057,
author = {Abdulkadir YUSUF},
title = {Probabilistic Assessment of the Design of Steel Plate Girders},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {3},
pages = {284-292},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705057.pdf},
abstract = {Steel plate girders under uniformly distributed load (UDL) and point loads designs were compared with test results obtained from literature. The results showed a reasonable prediction of the capacity of the plate girder, although there are cases of under and over estimation of the capacity. Probabilistic technique was therefore employed to examine the consistencies of the design provisions. The results obtained showed that with all the basic variables assuming normal distribution, the implicit reliability levels, ?, decreases from 4.96 to 2.08 for span range of 11 to 14m in girders subjected to UDL in bending. For shear condition ? values ranged from 4.89 to 2.00 for span range of 14 to 23m. With girder subjected to point load, in bending, ? ranged from 4.90 to 2.15 for span varying from 12 to 19m while the shear condition showed a constant reliability level of about 4.69 for all the variables assuming normal distribution. The sensitivity analysis conducted to examine influence of the values of the basic design variables on the implied reliability levels showed that the most significant variables are the yield strength of the steel and the depth of the section of the plate girder. The implication of this is that these two design parameters need serious consideration.},
keywords = {Plate Girder, Probabilistic Techniques, Reliability Levels, Sensitivity Analysis.},
month = {September},
}