Op³ User Manual =============== Welcome to the user manual for **Op³ Studio v1.0.0-rc1**, the integrated numerical and digital-twin framework for offshore wind turbine foundation assessment. .. toctree:: :maxdepth: 2 :caption: Contents: 01_installation 02_first_project 03_foundation_modes 04_decision_layer 05_web_application 06_gunsan_case_study 07_compliance_audits 08_report_generator 09_troubleshooting 10_api_reference What Op³ is ----------- Op³ is an open-source framework that combines four capabilities in a single package: 1. **3D geotechnical limit-analysis** (via OptumGX) for load-bearing capacity and cyclic degradation of suction caisson foundations. 2. **1D structural dynamics** (via OpenSeesPy) for eigenvalue, pushover, and transient response of wind turbine tower + rotor assemblies. 3. **Aero-hydro-servo-elastic simulation** (via OpenFAST coupling) for DLC 1.1 and DLC 6.1 design load cases. 4. **Digital-twin decision layer** (via a neural forward model, Bayesian fusion, and VoI analysis) for prescriptive maintenance. All four capabilities are exposed through a single local-first web application, ``op3_viz``, which runs on the engineer's laptop with no cloud dependency. What Op³ is **not** ------------------- - A replacement for certified commercial design software (BLADED, SACS). Op³ is positioned as a research-grade reference implementation and engineering analysis tool, not a certification package. - A cloud service. No data ever leaves the engineer's workstation unless the user explicitly exports a report or commits to a git repository. - A black-box ML system. Every numerical result can be traced to a specific OpenSeesPy or OptumGX invocation, and every neural prediction comes with the underlying training data and residuals. Citation -------- If you use Op³ in a publication, please cite:: @software{op3_v1_0_0_rc1, author = "Kim, Kyeong Sun", title = "Op^3: Integrated Numerical and Digital-Twin Framework for Scour Assessment of Offshore Wind Turbine Tripod Suction-Bucket Foundations", version = "1.0.0-rc1", year = "2026", doi = "10.5281/zenodo.19476542", url = "https://github.com/ksk5429/numerical_model" }