“…By using the Bayesian inference technique suggested by and assuming that θ can be modelled as a log-normally distributed random variable, a mean μ θ = 1.07 and a coefficient of variation V θ = 0.09 was found. This can be regarded as being within the requirements suggested in the literature Schlune, Plos, and Gylltoft, 2012). Engen et al (2017) analysed the same set of benchmark experiments with the same solution strategy as used herein, however using modified Newton-Raphson, a force-based convergence criterion, ||R res ||/||R ext || < 0.01, and not continuously monitoring the fracture criterion during the stress update algorithm for uncracked integration points as mentioned in Section 2.1.2.…”