| Student | Arsya Maulana Primaldy |
|---|---|
| Supervisor(s) | Dr. Dayu Apoji, S.T.,M.T.,M.Sc.,Ph.D. |
| Year | 2026 |
The increasing use of jack-up rigs in offshore operations requires reliable prediction of spudcan penetration behavior, particularly under complex layered seabed conditions that may lead to critical failure mechanisms such as punch-through.
This study aims to develop a program for Leg Penetration Analysis (LPA).
The analysis is conducted using a semi-empirical approach based on bearing capacity theory, implemented in a Python-based model. The method evaluates penetration resistance incrementally with depth while considering multiple failure mechanisms, including general shear, punch-through, and squeezing, using a failure envelope concept.
This study provides an open-source LPA model that is efficient, transparent, and capable of representing key failure mechanisms, offering an alternative to proprietary software and bridging the gap between academic and industry practices.