Pinned Repositories
PeriPy
Code base for PeriPy, a lightweight, open-source and high-performance package for peridynamic simulations written in Python - a collaboration between Exeter, Cambridge & Turing
rse-course
Materials for The Alan Turing Institute's Research Software Engineering course
bayesian-inference-tutorial
A tutorial on Bayesian inference to identify material parameters in solid mechanics
BB_PD
BB_PD is a three-dimensional bond-based peridynamics code developed in MATLAB and C
ga-demo
Genetic algorithm demonstration
PeriPy
Code base for PeriPy, a collaboration between Exeter, Cambridge & Turing
PhD
Mark Hobbs PhD Thesis - Three-dimensional peridynamic modelling of quasi-brittle structural elements
PyPD
A bond-based peridynamics code written in pure Python
rse-course
Materials for Turing's Research Software Engineering course
mark-hobbs's Repositories
mark-hobbs/BB_PD
BB_PD is a three-dimensional bond-based peridynamics code developed in MATLAB and C
mark-hobbs/PyPD
A bond-based peridynamics code written in pure Python
mark-hobbs/bayesian-inference-tutorial
A tutorial on Bayesian inference to identify material parameters in solid mechanics
mark-hobbs/PhD
Mark Hobbs PhD Thesis - Three-dimensional peridynamic modelling of quasi-brittle structural elements
mark-hobbs/ga-demo
Genetic algorithm demonstration
mark-hobbs/PeriPy
Code base for PeriPy, a collaboration between Exeter, Cambridge & Turing
mark-hobbs/rse-course
Materials for Turing's Research Software Engineering course