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Jul 11, 2012
Automatic Parameter Identification of Discrete Mesoscale Models with Application to the Coarse-Grained Simulation of Reinforced Concrete Structures
Authors: Mohammed Alnaggar [email protected] and Gianluca Cusatis [email protected]Author Affiliations
Publication: 20th Analysis and Computation Specialty Conference
Abstract
In this study, the analysis of reinforced concrete structures is performed by adopting a coarse-grained approximation of a recently developed meso-scale model for concrete, the Lattice Discrete Particle Model (LDPM). The coarse-grained system is obtained by scaling the particle size with a "coarsening factor" .. > 1. The coarse system cannot reproduce all aspects of the mechanics of the fine system, consequently, the coarse-scale model parameters need to be calibrated from the behavior of the fine-scale system by matching some aspects, e.g. the macroscopic stress-strain/load-displacement curves under different loading conditions, of the fine scale response. The coarse-scale parameters are optimized by the least-square minimization procedure. The effectiveness of the procedure is verified by comparing full fine-scale solutions and coarse-grained solutions for cases of interest in which the full meso-scale problem can be actually solved.
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© 2012 American Society of Civil Engineers.
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Published online: Jul 11, 2012
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Ph.D. Graduate student, Department of Civil and Environmental Engineering, Northwestern University, Evanston (IL), 60208, USA. E-mail: [email protected]
Associate Professor, Department of Civil and Environmental Engineering, Northwestern University, Evanston (IL), 60208, USA. E-mail: [email protected]
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