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Reducing Uncertainties in Estimation of Wind Effects on Tall Buildings Using Aerodynamic Wind ... PDF

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Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 7-3-2013 Reducing Uncertainties in Estimation of Wind Effects on Tall Buildings Using Aerodynamic Wind Tunnel Tests Workamaw Paulos Warsido [email protected] DOI:10.25148/etd.FI13080914 Follow this and additional works at:https://digitalcommons.fiu.edu/etd Part of theCivil Engineering Commons,Other Civil and Environmental Engineering Commons, and theStructural Engineering Commons Recommended Citation Warsido, Workamaw Paulos, "Reducing Uncertainties in Estimation of Wind Effects on Tall Buildings Using Aerodynamic Wind Tunnel Tests" (2013).FIU Electronic Theses and Dissertations. 939. https://digitalcommons.fiu.edu/etd/939 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida REDUCING UNCERTAINTIES IN ESTIMATION OF WIND EFFECTS ON TALL BUILDINGS USING AERODYNAMIC WIND TUNNEL TESTS A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in CIVIL ENGINEERING by Workamaw Paulos Warsido 2013 To: Dean Amir Mirmiran College of Engineering and Computing This dissertation, written by Workamaw Paulos Warsido, and entitled Reducing Uncertainties in Estimation of Wind Effects on Tall Buildings using Aerodynamic Wind tunnel tests, having been approved in respect to style and intellectual content, is referred to you for judgment. We have read this dissertation and recommend that it be approved. _______________________________________ Arindam Gan Chowdhury _______________________________________ Nakin Suksawang _______________________________________ Igor Tsukanov _______________________________________ Girma Bitsuamlak, Major Professor Date of Defense: July 3, 2013 The dissertation of Workamaw Paulos Warsido is approved. _______________________________________ Dean Amir Mirmiran College of Engineering and Computing _______________________________________ Dean Lakshmi N. Reddi University Graduate School Florida International University, 2013 ii © Copyright 2013 by Workamaw Paulos Warsido All rights reserved.   iii DEDICATION This dissertation work is dedicated to my parents Paulos Warsido and Emebet Mengistu, and to my sisters Chereka, Addis Zemen and Tigist. Without them this dream would have not been possible. iv ACKNOWLEDGMENTS It gives me an immense pleasure to express my most sincere gratitude and appreciation to my advisor Dr. Girma Bitsuamlak for his guidance, valuable suggestions, encouragement, patience, and endless support throughout my graduate study. I would also like to extend my sincere gratitude to my dissertation committee members: Dr. Arindam G. Chowdhury, Dr. Nakin Suksawang, and Dr. Igor Tsukanov, for their constructive input in the completion of this research. I would like to thank Florida International University, the National Science Foundation (Grant No. 0846811), the International Hurricane Research Center (IHRC), and the Florida Division of Emergency Management (FDEM) for providing financial support which made this research work possible. The help and moral supports I received from my friends Dr. Agerneh Dagnew, Dereje Abay, Eskedar Molla, Robel Tesfamariam, Edward Ledesma, and the rest of all my friends are greatly appreciated. The staff at Civil and Environmental Engineering Department, Wall of Wind facility, the International Hurricane Research Center and the boundary layer wind tunnel facility at RWDI Inc. is also greatly acknowledged. Last but not least, special thanks go to my parents Paulos Warsido and Emebet Mengistu, my sisters Chereka, Addis Zemen and Tigist, my aunt Elsabet Endale for their unconditional love, encouragement and unwavering support throughout my academic career. v ABSTRACT OF THE DISSERTATION REDUCING UNCERTAINTIES IN ESTIMATION OF WIND EFFECTS ON TALL BUILDINGS USING AERODYNAMIC WIND TUNNEL TESTS by Workamaw Paulos Warsido Florida International University, 2013 Miami, Florida Professor Girma Bitsuamlak, Major Professor Tall buildings are wind-sensitive structures and could experience high wind- induced effects. Aerodynamic boundary layer wind tunnel testing has been the most commonly used method for estimating wind effects on tall buildings. Design wind effects on tall buildings are estimated through analytical processing of the data obtained from aerodynamic wind tunnel tests. Even though it is widely agreed that the data obtained from wind tunnel testing is fairly reliable the post-test analytical procedures are still argued to have remarkable uncertainties. This research work attempted to assess the uncertainties occurring at different stages of the post-test analytical procedures in detail and suggest improved techniques for reducing the uncertainties. Results of the study showed that traditionally used simplifying approximations, particularly in the frequency domain approach, could cause significant uncertainties in estimating aerodynamic wind-induced responses. Based on identified shortcomings, a more accurate dual aerodynamic data analysis framework which works in the frequency and time domains was developed. The comprehensive analysis framework allows vi estimating modal, resultant and peak values of various wind-induced responses of a tall building more accurately. Estimating design wind effects on tall buildings also requires synthesizing the wind tunnel data with local climatological data of the study site. A novel copula based approach was developed for accurately synthesizing aerodynamic and climatological data up on investigating the causes of significant uncertainties in currently used synthesizing techniques. Improvement of the new approach over the existing techniques was also illustrated with a case study on a 50 story building. At last, a practical dynamic optimization approach was suggested for tuning structural properties of tall buildings towards attaining optimum performance against wind loads with less number of design iterations. vii TABLE OF CONTENTS CHAPTER PAGE 1.  INTRODUCTION ....................................................................................................... 1  1.1.  Motivation ........................................................................................................... 1  1.2.  Brief background theory ..................................................................................... 2  1.3.  Research hypothesis ............................................................................................ 4  1.4.  Research objectives ............................................................................................. 4  1.5.  Methodology ....................................................................................................... 5  1.5.1.  Experimental method .................................................................................... 6  1.5.2.  Numerical method ......................................................................................... 6  1.6.  Organization of the dissertation .......................................................................... 8  References ....................................................................................................................... 9  2.  WIND AND ITS INTERACTION WITH STRUCTURES ...................................... 10  2.1.  Wind climatology.............................................................................................. 10  2.1.1.  Atmospheric Boundary Layer ..................................................................... 10  2.1.1.1.  Mean velocity ...................................................................................... 11  2.1.1.2.  Turbulence intensity ............................................................................ 12  2.1.1.3.  Turbulence spectrum ........................................................................... 13  2.1.1.4.  Integral length and time scales ............................................................ 15  2.2.  Wind effects on structures ................................................................................ 17  2.2.1.  General ........................................................................................................ 17  2.2.2.  Wind tunnel simulation ............................................................................... 18  2.2.3.  Wind tunnel tests for tall buildings ............................................................. 21  2.2.3.1.  Aerodynamic tests ............................................................................... 21  2.2.3.1.1.  High Frequency Force Balance (HFFB) test .................................. 22  2.2.3.1.2.  High Frequency Pressure Integration (HFPI) test .......................... 26  2.2.3.2.  Aeroelastic tests ................................................................................... 28  2.2.4.  Wind loads on tall buildings ....................................................................... 29  2.3.  Summary ........................................................................................................... 31  References ..................................................................................................................... 37  3.  A DUAL AERODYNAMIC DATA ANALYSIS FRAMEWORK FOR TALL BUILDINGS ..................................................................................................................... 42  Abstract ......................................................................................................................... 42  3.1.  Introduction ....................................................................................................... 42  3.2.  Dynamics of tall buildings ................................................................................ 43  3.3.  Frequency domain approach ............................................................................. 46  3.3.1.  Modal responses .......................................................................................... 46  3.3.2.  Resultant responses ..................................................................................... 49  3.3.3.  Peak responses ............................................................................................ 52  3.4.  Time domain analysis ....................................................................................... 55  3.4.1.  Modal responses .......................................................................................... 56  viii 3.4.2.  Peak response estimation ............................................................................ 58  3.5.  Case study ......................................................................................................... 60  3.5.1.  Experimental setup...................................................................................... 60  3.5.2.  Dynamic analysis ........................................................................................ 61  3.6.  Results and discussion ...................................................................................... 61  3.6.1.  Modal responses .......................................................................................... 61  3.6.2.  Modal correlation coefficients .................................................................... 62  3.6.3.  Resultant responses ..................................................................................... 63  3.6.4.  Peak responses ............................................................................................ 64  3.6.5.  CPU time ..................................................................................................... 65  3.7.  Conclusion ........................................................................................................ 66  References ..................................................................................................................... 84  4.  CONTRIBUTION OF HIGHER VIBRATION MODES TO THE WIND-INDUCED RESPONSES OF TALL BUILDINGS ............................................................................ 87  Abstract ......................................................................................................................... 87  4.1.  Introduction ....................................................................................................... 87  4.2.  Parametric study................................................................................................ 89  4.2.1.  Experimental setup...................................................................................... 89  4.2.2.  Dynamic analysis ........................................................................................ 90  4.3.  Results and discussion ...................................................................................... 90  4.3.1.  Aerodynamic loads ..................................................................................... 90  4.3.2.  Generalized wind loads ............................................................................... 92  4.3.3.  Higher mode responses ............................................................................... 93  4.3.3.1.  Variation with wind direction .............................................................. 93  4.3.3.2.  Variation along the building height ..................................................... 94  4.4.  Conclusion ........................................................................................................ 96  References ................................................................................................................... 116  5.  ASSESSMENT OF THE UNCERTAINTIES IN AERODYNAMIC AND CLIMATOLOGICAL DATA SYNTHESIS .................................................................. 117  Abstract ....................................................................................................................... 117  5.1.  Introduction ..................................................................................................... 117  5.2.  Synthesis of aerodynamic and climatological data ......................................... 118  5.2.1.  Directionality factor approach .................................................................. 119  5.2.2.  Sector-by-sector approach ........................................................................ 120  5.2.3.  Out-crossing of the response boundary approach ..................................... 121  5.2.4.  Storm passage method .............................................................................. 126  5.3.  Extreme value analysis ................................................................................... 128  5.3.1.  Generalized Extreme Value (GEV) method ............................................. 129  5.3.1.1.  Gumbel distribution ........................................................................... 130  5.3.1.2.  Type II and III distributions............................................................... 132  5.3.1.2.1.  The method of probability-weighted moments (PWM) ............... 132  5.3.1.2.2.  The maximum likelihood (ML) method ....................................... 133  5.3.1.3.  Merits and demerits of GEV distributions ......................................... 134  ix

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