The next seminar in the web-based Discovering OpenSees: Surfing the waves of OpenSees learning series will occur on April 5 & 6. The session will be broadcast twice at times that will allow users in all time zones around the world to participate. This 1-hour session is titled “Transient Integrators” and will occur on April 5 at 4:00 pm Pacific Time & on April 6 at 10:00 am Pacific Time.
This seminar will provide a brief introduction on the transient integration schemes available in OpenSees. Frank McKenna will host the seminar and will discuss the theory behind transient integrators, their use and limitations. He will show examples demonstrating the differences between results that can be obtained, and examples showing when integration schemes other than the typically used Newmark method are more appropriate.
This seminar covers:
- – Introduction to OpenSees integration schemes
- – Theory, use and limitations of OpenSees integration schemes
- – Examples
- – Summary and conclusions
- – Q&A with web participants
This seminar is intended for intermediate users but may be of benefit for users of all levels.
How can I join the seminar?
Register for the seminar on April 5 at 4:00 pm Pacific Time
Register for the seminar on April 6 at 10:00 am Pacific Time
Once registered, you will receive a confirmation email with instructions for joining the meeting. More information will be posted at the Discovering OpenSees Wiki page.
After the seminar, please complete the short evaluation form to give OpenSees feedback and to suggest future seminar topics.
What’s next in the Discovering OpenSees Series?
The next Discovering OpenSees sessions will be on the following dates about the topics listed below. Mark them on your calendar!
“Utilizing Parallel and Parameter Tools in OpenSeesLab tool to utilize HPC resources”
May 2012 – dates coming soon!
Past Discovering OpenSees Seminars – how to find past seminar recordings
For more information about the Discovering OpenSees Series including previous presentation slides, video recordings, and topics, visit the Discovering OpenSees Wiki page.
For more information about OpenSees, visit: http://opensees.berkeley.edu/