Model Reduction & Interface Modeling in Dynamic Substructuring Application to a Multi-Megawatt Wind Turbine MSc. Presentation Paul van der Valk.

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Presentation transcript:

Model Reduction & Interface Modeling in Dynamic Substructuring Application to a Multi-Megawatt Wind Turbine MSc. Presentation Paul van der Valk

Introduction Trends in wind power Increase in installed GW Larger turbines Decrease of cost (€/kWh) Turbines become larger and more optimzed

Introduction Optimization of components: Less material used Decrease in turbine weight Transport and installation is easier Smaller foundations Increase in flexibility of component Local dynamic behavior Higher component loading

Introduction Desired workflow in WT engineering Crucial component dynamics can be identified Global model can be updated Better estimation of component loading Current workflow in WT engineering Local dynamic behavior not taken into account

Introduction Dynamic substructuring is proposed to fill this need for a more detailed dynamic analysis tool "Set up and implement a general framework for the application of dynamic substructuring within wind turbine engineering"

Content Theory of dynamic substructuring What is dynamic substructuring? Techniques for dynamic substructuring Application to a multi-MW wind turbine Yaw system Component models Validation measurements Analysis results Conclusions and recommendations

Theory of dynamic substructuring What is dynamic substructuring? Express component models in terms of most important dynamic behaviour Split into two substructures Complex structure 1 1 1 2 2 2

Theory of dynamic substructuring What is dynamic substructuring? Solve the simplified problem Assemble simplified substructures Express component models in terms of most important dynamic behaviour 1 2 Results in a less complex and more compact set of equations, while accurately describing the assembled behavior

Theory of dynamic substructuring What is dynamic substructuring? Several advantages: Allows evaluation of large complex structures Experimental substructures combined with numerical (component) models Local dynamic behavior is easier to identify

Theory of dynamic substructuring What is dynamic substructuring? Equations of motion of total structure: M Ä u + K = f f u x y

Theory of dynamic substructuring What is dynamic substructuring? Equations of motion of separate substructures: M ( 1 ) Ä u + K = f g M ( 2 ) Ä u + K = g 2 1 g ( ) f

Theory of dynamic substructuring Techniques for dynamic substructuring Reduction of components Assembly of components 1 2 1 2

Theory of dynamic substructuring Reduction of component models Often FE models are very refined High accuracy Large number of DoF Results in high computational effort for dynamic problems Re-meshing could be very expensive Component model reduction methods

Theory of dynamic substructuring Reduction of component models Basic idea: Description in terms of vibration mode shapes instead of nodal displacements: Exact if all mode shapes are included Reduction is performed by only including a number of mode shapes + 1st mode shape 2nd mode shape

Theory of dynamic substructuring Reduction of component models “Communication” between substructures needed Add DoF on the interface Interface forces ( ) Interface displacements ( ) g b 2 g ( ) 2 1 g ( ) f u b 2 u ( ) b

Theory of dynamic substructuring Assembly of component models Three possible assembly cases: u b $ g b $ u b $ g

Theory of dynamic substructuring Assembly of component models Two conditions: Compatibility Displacements on both sides of the interface must be the same Equilibrium Connecting forces must be in equilibrium (i.e. equal in magnitude and opposite in direction) 2 1 g ( ) f

Theory of dynamic substructuring Assembly of component models Interface displacements ( ) to Interface displacements ( ) Compatibility Equilibrium u b u b u ( 1 ) b ¡ 2 = u ( 1 ) b = 2 g ( 1 ) b + 2 = · K ( 1 ) 2 ¸ u = g

Theory of dynamic substructuring Assembly of component models Interface displacements ( ) to Interface displacements ( ) Relation between Boolean matrices: u b u b u ( 1 ) b ¡ 2 = · u ( 1 ) 2 ¸ = L g ( 1 ) b + 2 = · g ( 1 ) 2 ¸ = B T L T · K ( 1 ) 2 ¸ u = B · K ( 1 ) 2 ¸ L u = B T L T B = K ( 1 + 2 ) u = B L =

Application to a multi-MW wind turbine Yaw system Component models Measurements for component validation Analysis results

Application to a multi-MW wind turbine Yaw system Nacelle Yawing: Rotation about the tower axis Active yaw system Rotor Tower

Application to a multi-MW wind turbine Yaw system Tower top Yaw ring Yaw pads Bedplate Yaw gearboxes Yaw motors Yaw controller

Application to a multi-MW wind turbine Component models Yaw gearbox Tower top and yaw ring Yawpad Bedplate

Application to a multi-MW wind turbine Component models Yaw gearbox model is built from 2 submodels: Yaw gearbox housing model Yaw gearbox gear model

Application to a multi-MW wind turbine Measurements for component validation Measurements performed to validate: Simple bedplate model: Yaw gearbox model: Assembly of bedplate and 4 yaw gearboxes: + 4 x

Application to a multi-MW wind turbine Measurements for component validation Bedplate Measurement performed to validate the bedplate model 33 locations measured using 3D acceleromters Excitation in z-direction using random signal Bedplate model validated

Application to a multi-MW wind turbine Measurements for component validation Yaw gearbox Shaker attached to output pinion 3D accelerometer at input pinion Crucial variables: Gear play Preload

Application to a multi-MW wind turbine Measurements for component validation Yaw gearbox Preload applied: Using a mass suspended on a cable Did not give the desired result No reproducable results obtained Amplificaton of the inertia (due to the 1:1000 ratio) Measurements not successfull Lever Pulley Mass

Application to a multi-MW wind turbine Measurements for component validation Bedplate – yaw gearboxes assembly An assembly was created of a bedplate and 4 yaw gearboxes Again, 33 locations measured using accelerometers Random signal used for excitation Assembly also created from component models Eigenfrequencies and mode shapes compared

Application to a multi-MW wind turbine Measurements for component validation An assembly was created of a bedplate and 4 yaw gearboxes First 5 eigenmodes and 8 and 9 show a high correlation Frequency difference < 5% Added mass and stiffness effects also present in FE model Frequency difference high Yaw gearboxes should be updated/validated first

Application to a multi-MW wind turbine Analysis results 8 Yaw gearboxes 1 Bedplate 22 Yaw pads 1 Tower top and yawring Assembly of all components:

Application to a multi-MW wind turbine Analysis results Full structure model as reference (293.000 DoF): Frequency error [%] 1-MAC value [-] Reduced structure models Craig Bampton method (7929 DoF) Dual Craig Bampton method (8637 DoF) Rubin’s method (7881 DoF)

Comparison of results Reduction methods Error on frequencies [%] Error on frequencies [%] 1 - MAC [-] 1 - MAC [-]

Comparison of results Reduction methods Reduced models accurate up to the 80th eigenmode Reduction of approximately a factor of 35! Large number of DoF are interface DoF (> 90%) Apply an extra reduction step to reduce the interface DoF Reduced models Craig Bampton, 100 interface modes (730) Craig Bampton, 200 interface modes (830)

Comparison of results Interface reduction methods Accurate up to the 80th eigenmode Small number of total DoF (730 vs. 293.000) Number of DoF are reduced by approximately a factor 400! Error on frequencies [%] 1 - MAC [-]

Conclusions and recommendations Conclusions The general framwork was implemented Y system was accurately modeled using only 730 DoF Total reduction of a factor 400! The goal of the MSc. assignments has been achieved. "Set up and implement a general framework for the application of dynamic substructuring within wind turbine engineering"

Questions