The research objective of this project is to develop a cyber-physical systems (CPS) approach to the optimal design of structures for wind hazards. The approach combines the accuracy of physical wind tunnel testing with the efficiency of numerical optimization algorithms to create an efficient approach to structural design. Experiments are executed in a wind tunnel, sensor feedback is monitored by a computer, and optimization algorithms dictate physical changes to the model in the wind tunnel. The traditional design process involving wind tunnel testing is an iterative procedure that can take weeks or months. Rather than having to construct multiple entirely new models, a model with physically adjustable parameters can be used to streamline the design process to efficiently reach the optimal solution much quicker than purely experimental methods and with a higher degree of realism than purely numerical methods. These experiments represent a portion of the project and they involve the testing results of a mechatronic low-rise building model with an outer parapet wall of variable height.
Experiment | Cyber-physical Optimization of Parapet Wall Height for a Low-rise Building Model
Cite This Data:
Whiteman, M., P. Fernández-Cabán, B. Phillips, F. Masters, J. Davis, J. Bridge (2019). "Cyber-physical Optimization of Parapet Wall Height for a Low-rise Building Model", in Cyber-Physical Systems Approach for the Optimal Design in Wind Engineering: Parapet Walls. DesignSafe-CI. https://doi.org/10.17603/ds2-qrt3-8730
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Author(s)
; ; ; ; ;
Facility
Boundary Layer Wind Tunnel - University of Florida
Experiment Type
Wind
Equipment Type
Boundary Layer Wind Tunnel (BLWT)
Date of Experiment
2017-02-17 ― 2017-10-13
Date Published
2019-10-25
DOI
10.17603/ds2-qrt3-8730
License
Open Data Commons Attribution
Description:
This experiment contains pressure measurements collected from boundary layer wind tunnel tests of a 1:18 low-rise building model. The building model has a parapet wall whose height was adjusted according to an overarching optimization algorithm. Independent optimization runs were conducted implementing one of three optimization algorithms.
First, a single-objective particle swarm optimization (SO-PSO) algorithm was implemented to independently test two optimization problems: one to minimize roof and parapet suction pressures, and one to minimize roof and parapet suction pressures incorporating a forgetting function. Second, a non-stochastic golden section search (GSS) algorithm was implemented to independently test two optimization problems to minimize the maximum magnitude of peak pressures on the roof and parapet surfaces: one considering suction only, and one considering both suction and positive pressure. Third, a multi-objective particle swarm optimization (MO-PSO) algorithm was implemented to minimize peak suction pressures on the roof and minimize peak building base shear. For all three optimization algorithms implemented, the model was evaluated at 45 and 90 degrees. The model was instrumented with 512 pressure taps. Pressure measurements were collected using a high-speed pressure scanner from Scanivalve. The data files are in .mat format.
Experiment | Boundary Layer Wind Tunnel Tests of a Low-rise Building Model with Varying Parapet Height
Cite This Data:
Whiteman, M., P. FERNANDEZ-CABAN, B. Phillips, F. Masters, J. Davis, J. Rice (2019). "Boundary Layer Wind Tunnel Tests of a Low-rise Building Model with Varying Parapet Height", in Cyber-Physical Systems Approach for the Optimal Design in Wind Engineering: Parapet Walls. DesignSafe-CI. https://doi.org/10.17603/ds2-edh5-nd38
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Author(s)
; ; ; ; ;
Facility
Boundary Layer Wind Tunnel - University of Florida
Experiment Type
Wind
Equipment Type
Boundary Layer Wind Tunnel (BLWT)
Date of Experiment
2016-12-19 ― 2016-12-19
Date Published
2019-10-25
DOI
10.17603/ds2-edh5-nd38
License
Open Data Commons Attribution
Description:
This experiment contains pressure measurements collected during boundary layer wind tunnel testing of a 1:18 low-rise building model. The building model has a parapet wall whose height was adjusted incrementally between 0 and 5 inches model scale. For each parapet height, the model was evaluated from 0 to 360 degrees at increments of 15 degrees. The model was instrumented with 512 pressure taps. Pressure measurements were collected using a high speed pressure scanner from Scanivalve. The data files are in .mat format.
