Simcenter 3D
Simcenter 3D Specialist Durability - Basic Training

Course Code
ILTLG017028
Software
Simcenter 3D 2022.1
Language
English
User Level
Beginner to Intermediate
Pricing ID
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List Price
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Live In-Person Duration
2 Days
Live Online Duration
4 hours each day for 4 Days

In this product training, you will learn how to expand the CAE simulation in Simcenter 3D by the fatigue life prediction in Specialist Durability.

Participants will be trained in the relevant concepts of operating the software. The training will cover the basic theory of the Stress Life and the Strain Life Concept and their implementation in the numerical fatigue life prediction based on FE results. You will learn how to set up and run a Specialist Durability Solution and then post process it with the dedicated post processing tools of Simcenter 3D Specialist Durability.

WHO SHOULD ATTEND

This course is intended for engineers, interested in learning how to use Simcenter 3D Specialist Durability for predicting fatigue life of standalone and assembly components.

PREREQUISITES

Required courses:

  • Knowledge in structural FE analysis is required.
  • Basic knowledge in the methods of fatigue life prediction is advised.
  • Further attendees should have followed the Simcenter 3D Pre/Post training course or corresponding learning paths.

Recommendations when attending a LIVE! Online event:

  • You should have a quick Internet access. Choose a quite working environment. Ideally you have 2 screens and a comfortable headset.
  • Similar to face-to-fae meetings, switch off your mobile phone and other sources of disturbance like e-mail ... while attending the course.

PROVIDED COURSE MATERIALS
  • Student Guide
  • Activity Material
ATTENDANCE REQUIREMENTS

Should you attend this training as LIVE! Online event, please make sure you have run the following tests prior to the event:

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PRIMARY COURSE TOPICS

  • Basic theoretical background of the Stress Life Concept
  • Basic theoretical background of the Strain Life Concept
  • Numerical fatigue life prediction based in FE results
  • Local Analyses
  • Post processing of results
  • Tutorials