Parametric Identification and Sensitivity Analysis Combined with a Damage Model for Reinforced Concrete Structures

• Published in: Arabian journal for science and engineering (2011) 2023-04, Vol.48 (4), p.4751-4767
• Main Authors: Pereira Junior, W. M., Borges, R. A., Araújo, D. L., Fernandes, G. R., Pituba, J. J. C.
• Format: Article
• Language: English
• Subjects: Algorithms; Concrete; Concrete structures; Constitutive models; Damage assessment; Engineering; Humanities and Social Sciences; Inverse problems; Mathematical models; Mechanical properties; multidisciplinary; Optimization; Optimization techniques; Parameter identification; Parameter sensitivity; Reinforced concrete; Research Article-Civil Engineering; Robustness (mathematics); Science; Sensitivity analysis; Structural engineering
• ISSN: 2193-567X; 1319-8025; 2191-4281
• DOI: 10.1007/s13369-022-07132-6

The present work proposes a methodology to analyze the identification of constitutive model parameters for concrete. This procedure is an important step to develop reliable constitutive models for materials with complex mechanical behavior, as concrete. A parametric sensitivity analysis has been developed using a damage model applied to concrete performing numerical analyses in uniaxial states and plain concrete plate. To solve the identification problem, an inverse optimization technique based on bio-inspired computational algorithm has been applied. To validate the inverse problem results, reinforced concrete beams found in the literature have been used. Thus, a comparison between experimental results and the ones obtained from the proposed technique has been made observing an adherence index about 95%. Finally, it is possible to note that the proposed methodology is robust and efficient concerning to the automatization of the parametric identification problem discussed on this paper when compared to traditional techniques used in Structural Engineering in the context of damage constitutive models.