Torrent details for "De Lorenzis L. Modeling in Engineering Using Innovative Num.Meth…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
9.2 MB
Info Hash:
780D2E7C6A7C6022CF6F87491734813800A3C369
Added By:
Added:
March 22, 2026, 9:50 a.m.
Stats:
|
(Last updated: March 22, 2026, 9:50 a.m.)
| File | Size |
|---|---|
| De Lorenzis L. Modeling in Engineering Using Innovative Numerical Methods...2020.pdf | 9.2 MB |
NOTE
SOURCE: De Lorenzis L. Modeling in Engineering Using Innovative Num.Methods 2020 Rep Fix
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format The book examines innovative numerical methods for computational solid and fluid mechanics that can be used to model complex problems in engineering. It also presents innovative and promising simulation methods, including the fundamentals of these methods, as well as advanced topics and complex applications. Further, the book explores how numerical simulations can significantly reduce the number of time-consuming and expensive experiments required, and can support engineering decisions by providing data that would be very difficult, if not impossible, to obtain experimentally. It also includes chapters covering topics such as particle methods addressing particle-based materials and numerical methods that are based on discrete element formulations; fictitious domain methods; phase field models; computational fluid dynamics based on modern finite volume schemes; hybridizable discontinuous Galerkin methods; and non-intrusive coupling methods for structural models
×