Blog posts

This paper presents an Abaqus/Explicit simulation of the impact event when a golf club hits a golf ball. The simulation emphazies accurate material characterization and realistic model construction.

Simulation techniques used in present work include shrink fits at various analysis steps, model change at different analysis steps. This will demonstrate the capability of Abaqus in simulating reality of a complex bearing assembly and further stress analysis for different loading conditions.

In this study, a user subroutine film is used to define the htc and gas temperature at manifold surfaces so that the transient thermal analysis can be perfomred in Abaqus quickly.

The development of benchmark examples for quasi-static delamination

propagation and cyclic delamination onset and growth prediction is presented and demonstrated for Abaqus/Standard.

The idea of our approach is to define modal composite damping in system in proportion to strainenergy within the mode shape, as independent computer program. This approach allows to take into account soil damping in modal analysis.

This paper describes how Siemens Energy large scale steam turbines R&D has faced this challenge by developing ‘STARpost’ and provides many more field outputs beneficial for hot turbomachinery R&D and an environment for convenient visualization.

This study aims at using the FEM to demonstrate the impact of individual root models in anchorage process with consideration to different rooting patterns and to estimate the stress distribution in soil during the pulling out process.

A coupled MBS-FEM-simulation approach is presented. The used programs are Adams and Abaqus. MpCCI (Multi-Physics Code Coupling Interface) is used for a copled simulation.

In this paper an automated design technique using nonlinear finite element analysis is presented and validated with experiment for RCDBs. This nonlinear finite element automated design technique was used to design the reinforcement for a RCDB.

In this paper, we propose an efficient approach to generate more accurate Approximation model using less Teacher data. In this approach, Isight will search peaks and valleys of current response surface using optimization drivers, add them to Teacher data, and update the response surface automatically.