Towards Improved Understanding of Damage and Fracture of High-Performance Cementitious Materials by Development of Mesoscale Analysis Capabilities: 3-D Microstructure Reconstruction and FE Simulations

Abstract

Starting from a set of images obtained from micro-computer tomography of a sample of concrete, several numerical tools were developed in order to implement the following steps in image processing: denoising, smoothing and segmentation, in order to obtain a 3D segmentation with separated phases, i.e. to distinguish between matrix, aggregated and voids. This segmented information was then used to generate geometrically accurate finite elements (FE) meshes of the whole domain and of some preselected representative volume elements (RVE) to be used in the numerical simulations of concrete loading tests. A new constitutive and damage coupled model is proposed and implemented in a finite element solver and, with an initial set of constitutive and damage parameters identified based on literature data, RVEs were used to run numerical simulations of well-known tests (HC, UXC, TXC) commonly used to characterize cementious materials.

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Document Details

Document Type
Technical Report
Publication Date
Nov 25, 2019
Accession Number
AD1096457

Entities

People

  • Jose L. Alves

Organizations

  • University of Minho

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Bulk Modulus
  • Compression
  • Concrete
  • Data Processing
  • Elastic Properties
  • Equations
  • Gray Scale
  • Hydrostatic Pressure
  • Image Processing
  • Image Segmentation
  • Materials
  • Mechanical Properties
  • Plastic Properties
  • Simulations
  • Three Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Mechanical Engineering/Mechanics of Materials.