Wind Turbine Structural Analysis and Optimization Using OpenSees

This project focuses on the **numerical modeling, dynamic analysis, and optimization of wind turbine structures** using **OpenSees**. The study integrates **aeroelastic effects, soil-structure interaction (SSI), and extreme wind loading conditions** to evaluate the structural performance and fatigue life of turbine towers and foundations.

A **custom algorithm** is developed in **Tcl/Python** to automate parametric studies, optimize structural configurations, and assess the **nonlinear response of monopile and jacket-supported wind turbines**. The analysis incorporates **multi-degree-of-freedom (MDOF) modeling**, advanced **material constitutive laws**, and **nonlinear time-history analysis (NTHA)** to simulate wind and seismic loads simultaneously.

Key aspects include **blade-tower coupling effects, damping mechanisms, offshore hydrodynamic loading**, and **foundation settlement impacts** on turbine stability. The algorithm integrates **machine learning-based optimization** for enhancing structural resilience while minimizing material costs.

Results provide **performance-based design guidelines**, ensuring optimal efficiency and long-term durability of wind turbine structures in various environmental conditions.