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Bio-inspired Network Dynamics and Geomechanics

2013 ~ Present | National Science Foundation (NSF); Georgia Department of Transportation (G-DOT); Center for Bio-inspired and Bio-mediated Geotechnics (CBBG)


To predict the influence of grain crushing and crack propagation on the mechanical and physical properties of soils, rocks and ceramics; recommend self-healing materials for geological storage of energy and waste; test crack reparation techniques in concrete; design infrastructure networks inspired by the growth and adaptation of living organisms.

Issues Involved or Addressed

Why do some granular materials get crushed upon cyclic loading and others do not? Why does some salt rock self-heal? Is it sustainable to repair cracks in geomaterials? Are biological networks more efficient and versatile than engineering systems? Specific research areas include: 1. Modeling particle crushing as a phase change ("crushing") Discrete Element simulation of particle crushing in a granular assembly Geometric description and modeling of microstructure changes during particle crushing Continuum-based prediction of energy dissipation by crushing with MATLAB. 2. Microstructure-enriched modeling of healing in salt rock ("healing") Temperature- and moisture- controlled creep tests on granular salt Microscope image analysis and statistical description of microstructure Mathematical modeling of damage and healing from microstructure descriptors MATLAB programming for damage and healing models at the sample scale Finite Element simulation of salt rock damage and healing around cavities. 3. Design of crack reparation techniques in concrete structures ("reparation") Simulation of crack propagation in steel-reinforced concrete beams Modeling and calibration of concrete/epoxy interfaces Design epoxy injection techniques to repair concrete structures Simulation of bridge decks supported by repaired steel-reinforced concrete beams. 4. Biologically inspired network optimization ("bionetworks") Experimental and numerical analysis of the mechanism driving slime mold growth. Code development for bio-inspired design of engineering systems and network algorithms, including water lines, road alignments, information cables, and any network subjected to several constraints and optimization criteria.

Methods and Technologies

  • Simulation of Granular Assemblies
  • Mechanical Tests on Granular Mixtures
  • Microstructure Observations
  • Image Analysis
  • Finite Element Simulations
  • MATLAB Programming
  • Slime Mold Growth Experiments
  • Network Dynamics Modeling

Academic Majors of Interest

  • Computer Science
  • Civil Engineering
  • Computer Engineering
  • Electrical Engineering
  • Environmental Engineering
  • Mechanical Engineering
  • Biology

Preferred Interests and Preparation

EE, CmpE, CS - Interest in programming, image analysis, and numerical simulation (MATLAB, ABAQUS, PFC3D). ME/CEE: background in solid mechanics required; geology, mechanics of materials and dynamics recommended. BIOL: Background or knowledge on biological systems, cultures growth and/or interest in growing them.

Meeting Schedule & Location

Meeting Location 
Van Leer 465
Meeting Day 

Team Advisors

Dr. Chloé Arson
  • Civil and Environmental Engineering

Partner(s) and Sponsor(s)

National Science Foundation (NSF); Georgia Department of Transportation (G-DOT); Center for Bio-inspired and Bio-mediated Geotechnics (CBBG)