Ductile damage and fracture prediction in real size structures subjected to complex loading
conditions has been of utmost interest in the scientific and engineering community in the …

An extended Kalman filter (EKF) approach is adopted in this paper for structural systems
subject to dynamic loadings to simultaneously estimate the state and calibrate constitutive …

Joint estimation of unknown model parameters and unobserved state components for
stochastic, nonlinear dynamic systems is customarily pursued via the extended Kalman filter …

In this work, we present a model parameter calibration procedure for a physics-based crystal
plasticity model. The calibration process utilizes a powerful statistics-based Bayesian …

The Kalman filter (KF) methodology is apt to solve parameter identification (inverse)
problems in a statistical context, through a sequence of estimations, which starts from an a …

The present study investigates the effect of stress triaxiality on mechanical behavior and
fracture of Ti-5Al-2.5 Sn alloy in a practical relevant strain rate range from 0.1 to 1000 s− 1 …

The use of novel multi-scale correlative methods, which involve the coordinated
characterisation of matter across a range of length scales, are becoming of increasing value …

This part of study is devoted to the numerical simulation of axisymmetric notched specimens
in order to study the phenomenon of nucleation by Gurson–Tvergaard–Needleman model …

A new approach was put forward to identify the damage parameters of the shear modified
GTN damage model proposed by Nahshon and Hutchinson (Eur J Mech Solid 27: 10–17 …

A computational homogenization study of three-dimensional cubic cells is presented to
estimate the overall yield surface of random porous media covering a wide range of stress …