Sustainable Performance

Predict and optimize real world behavior

Wind turbines need to operate with maximum efficiency and reliability in a myriad of real world conditions. If a blade has to be replaced while the wind turbine is in operation, the result is high warranty and replacement costs. Other tough challenges include meeting stringent environmental and safety requirements.

It is critical for manufacturers to accurately predict the effects of severe wind, water, earthquake, and operational loads on wind turbines and components. This includes strength and deformation in large structures and equipment; linear and nonlinear analysis; the impact of thermal loads, vibrations, fracture, and failure; and degradation due to corrosion. How do you avoid building expensive physical prototypes to test the performance of wind turbine components?

Dassault Systèmes Sustainable Wind Turbines enables you to accurately predict complex real world behavior for optimum design. This includes vibration, nonlinear deformation and stresses, fracture and failure, wear scenarios, and multi-physics effects like fluid-structure interactions.  It can also be used to minimize blade weight by reducing the number of plies required. By performing these analyses virtually, you can significantly reduce both development time and costs.

Key Capabilities and Benefits:

  • Multi-body dynamics to connect parts and run simulations of complete assemblies
  • Design-of-experiments calculations to explore design alternatives and identify optimum design parameters
  • Simulation of severe natural events, such as hail, with impact analysis showing damage to the blade
  • Crack propagation analysis using XFEM (Extended Finite Element Method) model
  • Topological Optimization Module to optimize part weight per geometric restrictions
  • Advanced functions, such as smoothed-particle hydrodynamics, including failure analysis

FEA helped us determine the lifetime of larger bearings more exactly. This saves on development time in the re-engineering and design process

Martin Stief CAE Integration department engineer, Schaeffler Technologies AG & Co. KG