Probability Model of the Compressive Strength of Bricks Based on the Bayesian Inference

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The compressive strength of bricks used in masonry structures is difficult to deterministically evaluate because of its uncertain nature. It is realistic to model the strength in a probability manner. Compressive tests for bricks were conducted, and then a probability model of the strength was proposed through the Bayesian inference and based on the test results. The model appropriately represented the uncertainty inherent in the brick strength, and can be used to draw characteristic strength values for structural design or assessment.

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261-264

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.H. Brown, J.C. Grogan, Statistical interpretation of strength tests of masonry units for structural applications [J]. Journal of Testing and Evaluation, 1976, 4(4): 272-274.

DOI: 10.1520/jte10214j

Google Scholar

[2] C. Smith, D. Kelly and H. Dezfuli, Probability-informed testing for reliability assurance through bayesian hypothesis methods [J]. Reliability Engineering and System Safety, 2010, 95(4): 361-368.

DOI: 10.1016/j.ress.2009.11.006

Google Scholar

[3] S.H. Cheung, J.L. Beck, Bayesian model updating using hybrid monte carlo simulation with application to structural dynamic models with many uncertain parameters [J]. Journal of Engineering Mechanics, 2009, 135(4): 243-255.

DOI: 10.1061/(asce)0733-9399(2009)135:4(243)

Google Scholar

[4] S.K. Au, J. Ching, J.L. Beck, Application of subset simulation methods to reliability benchmark problems [J]. Structural Safety, 2007, 29(3): 183-193.

DOI: 10.1016/j.strusafe.2006.07.008

Google Scholar

[5] J.L. Beck, S.K. Au, Bayesian updating of structural models and reliability using markov chain monte carlo simulation [J]. Journal of Engineering Mechanics, 2002, 128(4): 380-391.

DOI: 10.1061/(asce)0733-9399(2002)128:4(380)

Google Scholar

[6] W.J. Yi, Y. Zhou, H. Li, Damage assessementresearch on frame structure based on Bayesian statisticalinference [J]. Engineering Mechanics, 2009, 26(5): 121-129. (in Chinese).

Google Scholar