Automatic parameter identification of discrete mesoscale models with application to the coarse-grained simulation of reinforced concrete structures

Mohammed Alnaggar*, Gianluca Cusatis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

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.

Original languageEnglish (US)
Title of host publication20th Analysis and Computation Specialty Conference - Proceedings of the Conference
Pages406-417
Number of pages12
DOIs
StatePublished - Sep 17 2012
Event20th Analysis and Computation Specialty Conference - Chicago, IL, United States
Duration: Mar 29 2012Mar 31 2012

Other

Other20th Analysis and Computation Specialty Conference
CountryUnited States
CityChicago, IL
Period3/29/123/31/12

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

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