Structures Archives

Latest articles

Use Machine Learning to Optimize Weld Integrity

As a welded part cools down, residual stresses form within the part. The structural performance of a weld depends heavily on the parameters of the welding process, such as heat input, welding paths, and fixture designs. Simulation can model the weld process in order to calculate the residual stress distribution and deformation within welded submarine parts. This article explains how artificial intelligence (AI) and machine learning can be used to accelerate analysis and optimization of welds.

Forcefield Optimization for Energetic Materials

Discover how BIOVIA’s computational tools advance the study of molecular crystals, including crystal structure prediction, lattice energy calculations, and the latest COMPASSIII forcefield developments.

Development of Innovative Drugs Using Materials Studio

Discover how BIOVIA Materials Studio, with the Martini 3 force field, enhances lipid nanoparticle and membrane simulations for advanced drug delivery systems. Explore the benefits of molecular dynamics and coarse-grained simulations in optimizing therapeutic formulations.

Gooaaalll!!!⚽Soccer Simulation with Structural Mechanics Engineer Role

We talked to Mattias Robertsson, Industry Process Senior Consultant, to walk us through a soccer simulation workflow using the Structural Mechanics Engineer role and Abaqus/Explicit solver.

SiminSitu EU Project with 4RealSim

SIMULIA is delighted to work with engineering leaders and academics as they leverage simulation capabilities to help shape the future of their industry. We had the opportunity to interview 4RealSim, a company specializing in high-end numerical analysis services. During the interview, we discussed how 4RealSim uses Abaqus in the SimInSitu EU project (http://www.siminsitu.eu/). SimInSitu aims to develop sophisticated in-silico methods to predict the short- and long-term behavior of in-situ tissue-engineered heart valves (TEHV) by combining advanced tissue remodeling algorithms with a personalized virtual heart modeling approach. The method will be specifically developed to predict the complex transformation process of biodegradable heart valves from the initially synthetic scaffold into a fully remodeled and functional valve.

Democratizing Engineering Analysis Through a Universal Material Subroutine

The recent webinar playback for Democratizing Engineering Analysis Through a Universal Material Subroutine with Dr. Ellen Kuhl from Stanford University and Dr. Mathias Peirlinck from Delft University of Technology is now available in the SIMULIA Community. Listen as they share their expertise on democratizing engineering analysis through a universal material subroutine.

Engineering Insights: Dr. Alison McMillan on Modeling Material Fatigue

The annual SIMULIA Regional User Meetings (RUMs) provide a forum for practicing engineers and researchers to exchange ideas and experiences in all aspects of simulation technology. Late last year, Alison McMillan, Professor in Aerospace Technology at Wrexham University, gave a presentation to RUM attendees in the UK, Fretting: Modeling mechanisms for material damage.

Workflow for Patient-specific Femur Simulation

Hear from SIMULIA Champion, Professor Stefanie Feih of Griffith University, about how orthopedic surgical planning can now leverage patient-specific neuromusculoskeletal models to determine physiologically plausible muscle and joint contact forces comprising points/areas of application, magnitude, and direction. Finite element analysis (FEA) is subsequently employed to estimate stresses and strains in the implants and their host tissues throughout the complete gait cycle. These simulations, or digital twins, may facilitate validated implant designs and surgical placement, leading to improved surgical outcomes.