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Developing User Material Subroutines in CALCULIX: 1 A Comprehensive Guide with UMAT Structure Examples in ABAQUS

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This blog initiates a series of post about creating user material subroutines, with illustrative examples. Finite element software, as ABAQUS or CALCULIX supports advanced material modeling through user-defined subroutines, specifically the User Material (UMAT). These subroutines allow for defining complex material behaviors not included in the material models library. In this article, we provide an overview of […]

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Numerical code corresponding to our publication titled: Bayesian analysis of fracture of polyamide 12 U-notched specimens. Part -2 Model selection based on Bayesian Statistics

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This blog is the second part of our series, where we share the Python code used in our paper titled: Bayesian Analysis of Fracture of Polyamide 12 U-Notched Specimens, developed in collaboration with the research group of Professor Jesús Rodríguez-Pérez (DIMME, Grupo de Durabilidad e Integridad Mecánica de Materiales Estructurales, Escuela Superior de Ciencias Experimentales

Numerical code corresponding to our publication titled: Bayesian analysis of fracture of polyamide 12 U-notched specimens. Part -2 Model selection based on Bayesian Statistics Leer más »

Numerical code corresponding to our publication titled: Bayesian analysis of fracture of polyamide 12 U-notched specimens. Part -1 Bayesian non-linear regression

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Recently, we have presented a paper titled: Bayesian analysis of fracture of polyamide 12 U-notched specimens, in collaboration with the group of Professor Jesús Rodríguez-Pérez (DIMME, Grupo de Durabilidad e Integridad Mecánica de Materiales Estructurales, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos) in the European Conference of Fracture 2024 We share

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Cement and Concrete Modeling with VCCTL: A Step-by-Step Guide

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Ever wondered how engineers and researchers can test the strength and durability of concrete before it’s even mixed? Enter VCCTL (Virtual Cement and Concrete Testing Laboratory), a powerful tool that allows you to model and analyze the mechanical properties of concrete before it’s even mixed. Let’s dive into how you can leverage VCCTL to develop

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Bayesian Fitting of Data from Three Groups with Parallel Linear Regression Lines

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When fitting data distributed across multiple groups, Bayesian modeling offers a powerful approach to account for uncertainty in parameter estimation. In this blog, we’ll walk through how to fit data from three different groups where each group can be described by a linear regression model, and the three regression lines are parallel).

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Programming a Bayesian Statistical Fit in Python for Linear Regression

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Bayesian statistical fitting is a powerful technique for data analysis that allows us to incorporate prior information and update it with observed evidence. In this blog, we’ll explain how to perform a Bayesian fit for linear regression using Python, with the goal of estimating the model parameters while quantifying uncertainty. This tutorial describes step by

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