Prediction of crack pattern distribution in reinforced concrete by coupling a strong discontinuity model of concrete cracking and a bondslip of reinforcement model

• Published in: Engineering computations Vol. 22; no. 5/6; pp. 558 - 582
• Main Authors: Dominguez, Norberto, Brancherie, Delphine, Davenne, Luc, Ibrahimbegovi, Adnan
• Format: Journal Article
• Language: English
• Published: Emerald Group Publishing Limited 01.07.2005
• Subjects: Concretes; Modeling; Numerical analysis; Stress materials
• ISSN: 0264-4401; 1758-7077
• DOI: 10.1108/02644400510603014

Purpose To provide a reinforced concrete model including bonding coupled to a classical continuum damage model of concrete, capable of predicting numerically the crack pattern distribution in a RC structure, subjected to traction forces. Designmethodologyapproach A new coupling between bonding model and an alternative model for concrete cracking is proposed and analyzed. For concrete, proposes a damagelike material model capable of combining two types of dissipative mechanisms diffuse volume dissipation and localized surface dissipation. Findings One of the most important contributions is the capacity of predicting maximal and minimal spacing of macrocracks, even if the exact location of cracks remains undetermined. Another contribution is to reiterate on the insufficiency of the local damage model of concrete to handle this class of problems much in the same manner as for localization problem which accompany strainsoftening behavior. Practical implications Bonding becomes very important to evaluate both the integrity and durability of a RC structure, or in particular to a reliable prediction of crack spacing and opening, and it should be integrated in future analysis of RC. Originalityvalue Shows that introduction of the influence of concrete heterogeneities in numerical analysis can directly affect the configuration of the crack pattern distribution. Use of a strong discontinuity approach provides additional cracking information like opening of macrocracks.