Lattice Discrete Particle Model (LDPM) for Failure Behavior of Concrete. 1: Theory (PREPRINT)

Abstract

This paper deals with the formulation, calibration, and validation of the Lattice Discrete Particle Model (LDPM) suitable for the simulation of the failure behavior of concrete. LDPM simulates concrete at the meso-scale considered to be the length scale of coarse aggregate pieces. LDPM is formulated in the framework of discrete models for which the unknown displacement field is not continuous but only defined at discrete points representing the center of discrete particles. The size and distribution of the particles is obtained by idealizing the geometry of the concrete's internal structure. Discrete compatibility and equilibrium equations are used to formulate the governing equations of the LDPM computational framework. Particle contact behavior represents the mechanical interaction among adjacent aggregate particles through the embedding mortar. Such interaction is governed by meso-scale constitutive equations simulating meso-scale tensile fracturing with strain-softening,cohesive and frictional shearing, and nonlinear compressive behavior with strain-hardening. The present, Part I of this two-part study deals with model formulation leaving model calibration and validation to the subsequent.

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Document Details

Document Type
Technical Report
Publication Date
Dec 18, 2010
Accession Number
ADA538722

Entities

People

  • Andrea Mencarelli
  • Daniele Pelessone
  • Gianluca Cusatic

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Calibration
  • Composite Materials
  • Concrete
  • Constitutive Equations
  • Engineering
  • Equations
  • Geometry
  • Hardening
  • Materials
  • Mechanics
  • Modulus Of Elasticity
  • Particles
  • Simulations
  • Softening
  • Strain Hardening
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Astronomy and Astrophysics.
  • Computational Modeling and Simulation
  • Structural Dynamics.