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Award Abstract # 1400224
Collaborative Research: Characterization, Modeling and Uncertainty Analysis of Tornado Wind and Its Effects on Buildings

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: TEXAS TECH UNIVERSITY SYSTEM
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: FY 2014 = $250,000.00
History of Investigator:
  • Daan Liang (Principal Investigator)
    daan.liang@ua.edu
  • Xinzhong Chen (Co-Principal Investigator)
Recipient Sponsored Research Office: Texas Tech University
2500 BROADWAY
LUBBOCK
TX  US  79409
(806)742-3884
Sponsor Congressional District: 19
Primary Place of Performance: Texas Tech University
TX  US  79409-3107
Primary Place of Performance
Congressional District:
19
Unique Entity Identifier (UEI): EGLKRQ5JBCZ7
Parent UEI:
NSF Program(s): Structural and Architectural E
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 039E, 040E
Program Element Code(s): 163700
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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Changda Feng, Xinzhong Chen, and Daan Liang "Inelastic Crosswind Responses of Tall Buildings with Bi-linear Hysteretic Restoring Force Characteristics" 8th International Colloqui-um on Bluff Body Aerodynamics and Applications , 2016
Cui, Qihong, Daan Liang, and Larry Tanner. "Experimental Study of Metal Roof Decking Systems Subject to Tornado-Borne Debris Impact" Journal of Performance of Constructed Facilities , v.32 , 2018 04018056
Feng, C., and Chen, X. "Crosswind responses of tall buildings with nonlinear aerodynamic damping and hysteretic restoring force character." Journal of Wind Engineering and Industrial Aerodynamics , v.167 , 2017 , p.62 10.1016/j.jweia.2017.04.012
Feng, C., and Chen, X. "Estimation of nonstationary crosswind response of tall buildings with nonlinear aeroelastic effect" Journal of Engineering Mechanics , v.144 , 2018 04018053-1-16
Feng, C., and X. Chen "Wind-induced inelastic responses of tall buildings with bilinear hysteretic restoring force characteristics by statistical linearization approach" J Eng Mech ASCE , 2017
Zhuo Tang, Changda Feng, Liang Wu, Delong Zuo, and Darryl James "Simulations of Tornado-Like Vortices in a Large-Scale Ward-Type Tornado Simulator" 8th International Colloqui-um on Bluff Body Aerodynamics and Applications , 2016

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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