
NSF Org: |
CMMI Division of Civil, Mechanical, and Manufacturing Innovation |
Recipient: |
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Initial Amendment Date: | April 4, 2014 |
Latest Amendment Date: | April 4, 2014 |
Award Number: | 1400224 |
Award Instrument: | Standard Grant |
Program Manager: |
Joy Pauschke
jpauschk@nsf.gov (703)292-7024 CMMI Division of Civil, Mechanical, and Manufacturing Innovation ENG Directorate for Engineering |
Start Date: | June 1, 2014 |
End Date: | May 31, 2019 (Estimated) |
Total Intended Award Amount: | $250,000.00 |
Total Awarded Amount to Date: | $250,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
2500 BROADWAY LUBBOCK TX US 79409 (806)742-3884 |
Sponsor Congressional District: |
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Primary Place of Performance: |
TX US 79409-3107 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Structural and Architectural E |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
The devastation from recent tornadoes in Joplin, Missouri, and Tuscaloosa, Alabama, in 2011 and in Moore, Oklahoma, in 2013 highlight the national vulnerability to these windstorm events. Direct measurement of tornado wind speed near the ground level is difficult to obtain due to its unpredictable nature and destructive force. Current practice is to estimate wind speed based on observed damage to structures and non-structures using the Enhanced Fujita (EF) Scale, which is widely accepted in climatological study, risk analysis, and design of critical facilities. However, such damage-based methods have a great degree of uncertainty. Critical knowledge gaps exist about spatial and temporal distributions of wind flow near the ground level and how wind flow interacts with the terrain and structures. To address these knowledge gaps, this research will characterize, model, and analyze uncertainties in tornado wind and its effects on buildings. This research will lead to better understanding of the effects of tornado and terrain parameters on near-ground wind field structures, the transient aerodynamic force of tornado wind on building designs, and the uncertainties in building performance subject to tornado wind. This knowledge will contribute toward the foundation for developing performance-based building code provisions to mitigate the impact of tornado wind loads on buildings.
This research aims to make the following three knowledge advances. First, knowledge for understanding the tornado wind field will be advanced through a systematic study of the effects of tornado and terrain parameters. This study will fill an important gap between a tornado's structure aloft and ground level damages and will provide the physics-based evidence critically needed for updating the EF Scale. Fragility functions will be developed to recalibrate the expected, upper bound, and lower bound wind speeds for Degree of Damage in the EF Scale. Second, understanding of pressure and load effects of non-synoptic winds, including tornadoes and thunderstorms, will be advanced with the development of transient aerodynamic force models. These models will not only enable better characterization of load effects under a non-stationary vortex but also will build a bridge to results accumulated from decades of research in stationary boundary layer wind. Third, a new framework for characterizing and quantifying uncertainties of the tornado wind load chain on buildings will be developed and validated with finite element models and post-storm damage surveys. This framework will permit the integration of uncertainties, including those of building properties and construction quality, in assessing building vulnerability, laying the foundation for performance-based building code provisions for tornadoes. This research is enabled by a confluence of latest advances in tornado simulation, data acquisition and modeling capabilities, full-scale studies of the tornado vortex, near-ground measurements of tornado wind, and theories in non-stationarity, many of which were not available a few years ago.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The primary objective of this collaborative project between Texas Tech University (TTU) and Iowa State University (ISU) was to conduct a fundamental study to characterize, model and analyze uncertainty of tornado winds and their loading effects on buildings. The project tried to address critical gaps in the current knowledge about spatial and temporal distributions of wind near the ground level and its interaction with natural and built environments. The TTU project focused on studying (a) the transient aerodynamic force of tornado wind; (b) the uncertainties in building performance subject to tornado wind; and 3) improvement to building design to tornado wind.
The tornado-induced pressure distributions on low-rise frame were strongly influenced by storm’s location, tending to be more uniformly distributed when inside of the core. As the result, the building frame responses were much larger than those estimated using the wind load specified in the current building code. The equivalent static wind load (ESWL) based on gust response factor approach gave reasonably estimation of tornado-induced peak responses. The translation of tornado led to a delay of occurrence of maximum time-varying mean and standard deviation (STD), and reduction in maximum STD (thus peak response). It also made the energy distribution of pressure fluctuations being shifted to higher frequencies with a broader power spectrum.
For examining the performance of building envelope against tornado-induced debris impact, full-scale finite element (FE) models were developed for metal roof decking assemblies in LS-DYNA. A mesh sensitivity analysis served as basis for selecting optimal mesh sizes. The FE models were then calibrated and validated with testing results with respect to metal deck residual deformation and failure mode. A reasonable level of agreement between simulation and experiment was achieved, allowing comprehensive parametric study involving different debris impact locations and missile velocities as well as varying material properties.
Previous studies showed that the wind-induced response of the base isolation system could be smaller than that of the fixed-base system when the hysteretic damping generated by yielding of base isolation system was noticeable. The yielding also caused the responses of base isolation system and structure to have non-Gaussian probability distributions. The research results indicated that the Gaussian linearization approach was able to give quite accurate estimations of building top displacement and base shear force in a wide range of wind speed or ductility factor of base displacement. As compared to fixed-base building, the displacement and acceleration of base-isolated building at higher wind speeds could be significantly reduced thanks to the effect of hysteretic damping. While the hysteretic damping resulted in reduction of the fluctuating response around the time-varying mean component, the increase in the mean response led to total inelastic alongwind response noticeably higher than that of the corresponding linear system in general, especially in the case of lower second stiffness. In general, crosswind response was larger than alongwind response of tall buildings. Therefore, building design could consider permitting crosswind response in inelastic range while the alongwind response remains almost elastic.
This project resulted in a better understanding of underlying physics of the dynamic flow field of tornado wind and its interaction with buildings that will lead to a more accurate prediction of wind damage to buildings and improved building design in the future. This project has raised public awareness of wind hazards and benefited graduate, undergraduate and K-12 students, research scholars as well as public in general through improved curricula, laboratory demonstrations, student projects, publications and news media outlets.
Last Modified: 09/19/2019
Modified by: Daan Liang
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