uncertainties in wind load estimations on membrane structures · 11.10.2015 17 sl-rasch gmbh mast...
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Uncertainties in Wind Load Estimations on Membrane Structures
Alexander Michalski, SL-Rasch GmbH, Stuttgart
Novel Structural Skins, COST Action
EUROMEM Nantes, September 2015
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Dr. A. R. Dykes, British Institution of Structural Engineers, 1976
"Engineering is the art of modeling materials we do not wholly
understand, into shapes we cannot precisely analyze so as to
withstand forces we cannot properly assess, in such a way that the
public has no reason to suspect the extent of our ignorance."
�Accurately captures the essence of the challenge of structural
engineering
�Uncertainties in
• Material
• Structural Model
• Forces (external, internal)
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Wind Climate
Atmoshperic Boundary Layer
Structure
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3 fundamental aspects of wind loaded structures
Atmospheric
Boundary LayerStructureWind climate
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Van-der-Hoven Spectrum
Atmospheric
Boundary LayerWind climate Structure
Structural
frequencies
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Wind climate
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Flow characteristics on earth
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Flow characteristics on earth
Meteorology: Mathematical/Numerical model
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Statistical wind climate model: Reference wind speed
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Code-based reference wind speed• Represents the wind climate of each location
• Expected value of the wind speed which occurs with a defined probability of occurence
• Valid for predefined meteorologic boundary conditions
• 10 m height, 10-Minutes mean wind speed >independent of wind direction
• Expected maximum wind speed in designed lifetime (extreme value of wind speed, as
determined by extreme value theory)
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Atmospheric Boundary Layer
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Atmospheric Boundary Layer
• Lowest part of the atmosphere
• behavior is directly influenced by friction with surface
• Wind speed increases with increasing height above the ground
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Mathematical description
Wind speed
Fluctuations
Mean wind speed
Fluctuating
components
ui(z,t)
Mean
wind
speed
SL-Rasch GmbHGust wind pressure including measurement error and model error
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Structure
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What causes loads to flow-exposed buildings?
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Wind Loaded Membrane Structures
Wind tunnel, Institute of Hydromechanics University of Karlsruhe
Load carrying behavior
− Activation of tangential membrane stresses
− Large deflections, membrane adapts to external loads until equilibrium condition is achieved
Static structural response
− Double curved surfaces � Determination of wind loads
Dynamic structural response
− Low self-weight, Inertial forces could be neglected, the structure reacts directly to load changes
− Added mass, added damping effects: Influence of surrounding mass of air increases
Convertible membrane structures ���� Behaviour in the retraction process
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Wind loading based on wind tunnel tests
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Wind tunnel setup
Wind tunnel, Institue of Hydromechanics
University of Karlsruhe
Wind tunnel, Chair of Fluidmechanics
TU München
SL-Rasch GmbHReynolds number similarity
Dynamic similarity of the moving fluid particls
� Movement of fluid particals must be dynamically similar
uref…Reference velocityLref…Reference length scale, nnnn… dynamic viscosity of air
Example:
u=20m/s, L=60m, n=1.53 e-5m²/s
Re = approx 7 x e7
� Reynolds-number similarity could not be
achieved in small scale wind tunneltests
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Wind tunnel tests
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Measurement results
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Werodynamic pressure coefficients: Rigid models
Windkanal Modell 1:200Windkanal Modell 1:200
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Computational Wind Engineering
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Fluid Structure Interaction Simulation
CFD
Flow analysis
PAM Flow
CSD
Structural
analysis
PAM Crash
Pressure/ friction
Deflection
Wind
generation
Form-
finding
LISA
Wind load simulation Structural response simulation
Michalski, A., P. D. Kermel, et al. (2011). Validation of the computational fluid-structure interaction simulation at real-scale tests of a
flexible 29 m umbrella in natural wind flow. Journal of Wind Engineering and Industrial Aerodynamics 99(4): 400-413
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Strain measurements at the umbrella arms and mast
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Photogrammetric measurement of membrane deformation
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Photogrammetric measurement of membrane deformation
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Requirements for measurement
• Winddirection 262°
• Windspeed > 12 m/s
• Stationary datasets
• Measurement period 10 Minutes
• Sampling rate: 10 Hz
• Windfeld 10.02.09
WR 262°
Measuring site
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Reference positionWind measurement mastsWind
inflow
Windinflow
Simulation 1 – 7 Mio elements Simulation 2 – 12 Mio elements
Computational Wind Simulation
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Mast foot moment M(t)
Mmast
Mmean=250
Mmean= 220
RMS=128
RMS=102
Comparison of numerical and experimental results
Michalski, A., Haug E., Wüchner R. Bletzinger K.-U. (2011) Validierung eines numerischen Simulationskonzeptes zur Strukturanalyse
windbelasteter Membrantragwerke, Der Bauingenieur, Band 86, März 2011, S. 129 - 141
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Influence of the mesh density on the results
7 Mio elements12 Mio elements
Normalized root mean squares of umbrella response (fine model)
Normalized root mean squares of umbrella response (coarse model)
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Computational Fluid Dynamics Simulation
Michalski et al., “Computational Wind Engineering of Large Umbrella Structures”, Journal of Wind Engineering and Industrial
Aerodynamics, Publication 2015, under review
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Fluid-Structure-Interaction Simulation
Umbrella response
AFTER structural modification
Wind
Umbrella response
BEFORE structural modification
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FSI Simulation of partially folded umbrellas
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FSI simulation of partially folded umbrellas
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Conclusion
George Edward Pelham Box (born 18 October 1919)
"Essentially, all models are wrong, but some are useful“
� Model uncertainties
�How wrong do they have to be to not be useful
� Try to predict nature as best as possible
Apply several methods
Perform cross checks
Sensitivity analysis
Parametric study
Validation, Verification
Industry
Public, private Organisations
Universities
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Real scale experiments: A challange for building structures
Studio MSB