A Weibull distribution-based method for the analysis of concrete fracture

被引:46
作者
Li, Lielie [1 ]
Guan, Junfeng [1 ,2 ]
Yuan, Peng [1 ]
Yin, Yanan [1 ]
Li, Yue [1 ]
机构
[1] North China Univ Water Resources & Elect Power, Civil Engn & Commun, Zhengzhou 450045, Henan, Peoples R China
[2] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Design relation; Concrete; Weibull distribution; Tensile strength; Fracture toughness; STATISTICAL-ANALYSIS; IMPACT RESISTANCE; TENSILE-STRENGTH; TOUGHNESS; TESTS; FRACTOGRAPHY; RELIABILITY; PERFORMANCE; FAILURE;
D O I
10.1016/j.engfracmech.2021.107964
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Based on the design relation value of the variation dispersion coefficient beta at the notch tip in concrete specimens at the peak load P-max, a Weibull distribution method was employed to analyze the experimental data for different loading methods (3 PB, 4 PB, WS). The dispersion coefficient beta, which complies with the Weibull distribution for notched specimens, leads to a Weibull distribution of the tensile strength f(t) and fracture toughness K-IC. Furthermore, when the characteristic crack of concrete is alpha(ch)* = 1.0d(max) (or 1.5d(max)), the coefficient of variation for the Weibull distribution is the smallest in most cases. By adopting the simple relation alpha(ch)* = 1.0d(max) (or 1.5d(max)) and the fictitious crack growth, Delta alpha(f) = beta d(max), the fracture properties of concrete specimens with W/d(max) = 4-50 under different loading conditions (3 PB, 4 PB, WS) were investigated. Because of the scatter in the peak load P-max of the notched specimens and the variation in the fictitious crack growth Delta alpha(fici), a new statistical approach using the solution of the boundary effect model (BEM) was employed. The curves between the peak load P-max and specimen height W were predicted. The critical values of the peak load P-max and specimen height W were obtained, in which the notched specimen failure was controlled by the fracture toughness K-IC.
引用
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页数:32
相关论文
共 37 条
[1]   Statistical Analysis of Rock Fracture Toughness Data Obtained from Different Chevron Notched and Straight Cracked Mode I Specimens [J].
Aliha, M. R. M. ;
Mahdavi, E. ;
Ayatollahi, M. R. .
ROCK MECHANICS AND ROCK ENGINEERING, 2018, 51 (07) :2095-2114
[2]   Fracture toughness prediction using Weibull statistical method for asphalt mixtures containing different air void contents [J].
Aliha, M. R. M. ;
Amirdehi, H. R. Fattahi .
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2017, 40 (01) :55-68
[3]   Rock fracture toughness study using cracked chevron notched Brazilian disc specimen under pure modes I and II loading - A statistical approach [J].
Aliha, M. R. M. ;
Ayatollahi, M. R. .
THEORETICAL AND APPLIED FRACTURE MECHANICS, 2014, 69 :17-25
[4]   Geometry effects and statistical analysis of mode I fracture in guiting limestone [J].
Aliha, M. R. M. ;
Sistaninia, M. ;
Smith, D. J. ;
Pavier, M. J. ;
Ayatollahi, M. R. .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2012, 51 :128-135
[5]   Weibull statistical analysis of granite bending strength [J].
Amaral, P. M. ;
Fernandes, J. Cruz ;
Rosa, L. Guerra .
ROCK MECHANICS AND ROCK ENGINEERING, 2008, 41 (06) :917-928
[6]   Analysis of flexural fatigue failure of concrete made with 100% Coarse Recycled Concrete Aggregates [J].
Arora, Sumit ;
Singh, S. P. .
CONSTRUCTION AND BUILDING MATERIALS, 2016, 102 :782-791
[7]   Scaling of quasibrittle fracture: Hypotheses of invasive and lacunar fractality, their critique and Weibull connection [J].
Bazant, ZP .
INTERNATIONAL JOURNAL OF FRACTURE, 1997, 83 (01) :41-65
[8]   Strength distributions in polycrystalline silicon MEMS [J].
Boyce, Brad L. ;
Grazier, J. Mark ;
Buchheit, Thomas E. ;
Shaw, Michael J. .
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2007, 16 (02) :179-190
[9]  
Çaglar Y, 2016, ENG FRACT MECH, V157, P43, DOI [10.1016/j.engfracmech.2016.02.28, 10.1016/j.engfracmech.2016.02.028]
[10]   Comparative study on three-dimensional statistical damage constitutive modified model of rock based on power function and Weibull distribution [J].
Chen, Song ;
Qiao, Chunsheng ;
Ye, Qing ;
Khan, Muhib Ullah .
ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (03)