Statistical prediction of fracture parameters of concrete and implications for choice of testing standard

被引:371
作者
Bazant, ZP [1 ]
Becq-Giraudon, E [1 ]
机构
[1] Northwestern Univ, Dept Civil Engn & Mat Sci, Evanston, IL 60208 USA
基金
美国国家科学基金会;
关键词
concrete; fracture; fracture energy; testing; statistics; scatter; randomness; uncertainty; prediction; standards; size effect;
D O I
10.1016/S0008-8846(01)00723-2
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This article shows how the fracture energy of concrete, as well as other fracture parameters such as the effective length of the fracture process zone, critical crack-tip opening displacement and the fracture toughness, can be approximately predicted from the standard compression strength, maximum aggregate size, water-cement ratio, and aggregate type (river or crushed). A database, consisting of 238 test data, is extracted from the literature and tabulated, and approximate mean prediction formulae calibrated by this very large data set are developed. A distinction is made between (a) the fracture energy, G(f), corresponding to the area under the initial tangent of the softening stress-separation curve of cohesive crack model, which governs the maximum loads of structures and is obtained by the size effect method {SEM) or related methods (Jenq-Shah two-parameter method and Karihaloo's effective crack model, ECM) and (b) the fracture energy, G(F), corresponding to the area under the complete stress-separation curve, which governs large postpeak deflections of structures and is obtained by the work-of-fracture method (WFM) proposed for concrete by Hillerborg. The coefficients of variation of the errors in the prediction formulae compared to the test data are calculated; they are 17.8% for Gf and 29.9% for G(F), the latter being 1.67 times higher than the former. Although the errors of the prediction formulae taking into account the differences among different concretes doubtless contribute significantly to the high values of these coefficients of variation, there is no reason for a bias of the statistics in favor of G(f) or G(F). Thus, the statistics indicate that the fracture energy based on the measurements in the maximum load region is much less uncertain than that based on the measurement of the tail of the postpeak load-deflection curve. While both G(f) and G(F) are needed for accurate structural analysis, it follows that if the testing standard should measure, for the sake of simplicity, only one of these two fracture energies, then G(f) is preferable. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:529 / 556
页数:28
相关论文
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