Analysis and modelling of the cohesion strength of concrete at high strain-rates

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

卷:51

Article

Erzar, B.¹  Forquin, P.² 

[1] CEA, GRAMAT, DAM, F-46500 Gramat, France

[2] Univ Grenoble Alpes, Lab Sols Solides Struct Risques, F-38041 Grenoble, France

关键词: Hopkinson bars;    Dynamic fracture;    Spalling test;    Cohesion strength;    Damage model;   

DOI  :  10.1016/j.ijsolstr.2014.01.023

来源: Elsevier

【 摘 要 】

With the exponential increase of computational power, numerical simulations are more and more used to model the response of concrete structures subjected to dynamic loadings such as detonation near a concrete structural element or projectile-impact. Such loadings lead to intense damage modes resulting from high strain-rate tensile loadings in the concrete structure. However, the modelling of the post-peak tensile response of concrete still remains difficult due to the lack of experimental data at high strain-rates. This work aims at improving the modelling of the softening behaviour of concrete based on the following statement: despite the propagation of unstable cracks in the tested specimen cohesion strength exists in the vicinity of triggered cracks and is driving the whole softening behaviour of concrete. This statement is justified in the present work by means of experiments and Monte-Carlo calculations: firstly, concrete samples have been subjected to a dynamic tensile loading by means of spalling experiments. Several specimens have been recovered in a damaged but unbroken state and have been subsequently loaded in quasi-static tensile experiments to characterise the residual strength and damage level in the sample. In addition, Monte-Carlo simulations have been conducted to clarify the possible influence of cohesion strength in the vicinity of cracks. Finally, the DFH (Denoual-Forquin-Hild) anisotropic damage model has been adapted to take into account the cohesion strength in the damaged zone and to describe the softening behaviour of concrete. Numerical simulations of experiments conducted on dry and saturated samples at different levels of loading-rate illustrate the new capability of the model. (C) 2014 Elsevier Ltd. All rights reserved.

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