| dc.description |
First of all, I would like to express my sincere gratitude to the Almighty Allah for his mercy
and blessing and for giving me this opportunity to complete this research peacefully.
I would like to express my sincere gratitude to my thesis supervisor Lt Col Md Jahidul
Islam, PhD, Engrs, Associate Professor, Department of Civil Engineering, MIST, for
providing me excellent guidance and continuous assistance throughout the study. His
constant advice, assertions, and appreciation were very vital and irrevocable. Without his
motivation, it wouldn’t have been possible for me to finish my paper. I am very much
thankful to him for his encouragement throughout the study.
I wish to express my gratitude and thanks to Dr. Iftekhar Anam, Professor, Department of
Civil Engineering, University of Asia Pacific, for his valuable time, dynamic direction and
recommendations.
I would like to express my sincere gratitude to Maj Md. Soebur Rahman, PhD, PEng, Engrs
(Associate Professor), and Dr. G M Jahid Hasan (Professor), Department of Civil
Engineering, MIST, for providing me excellent guidance and continuous assistance
throughout the study. I express my gratitude and thanks to Dr. Shohel Rana (Associate
Professor), Department of Civil Engineering, BUET for his valuable recommendations.
Their constant advice, assertions, and appreciation were very vital and irrevocable. I am
very much thankful to them for their encouragement throughout the study.
I also express my heartiest thanks to the Head of the Department and other faculty members
of the Department of Civil Engineering, MIST, who helped me by providing their
important suggestions and cooperation.
I am very much grateful to the officers and staff of the Department of Civil Engineering,
MIST, for their cooperation and assistance throughout my study.
Indeed, this page of acknowledgment shall never be able to touch the horizon of the
generosity of those who tendered their help to me. |
en_US |
| dc.description.abstract |
Bangladesh has recently landed in the era of tall buildings. Wind load generally governs
over earthquakes for tall buildings. However, research on the effect of wind load on
structures is limited in Bangladesh. International and local codes evaluate wind effects on
regular shape buildings. But they are not recommended for complex-shaped structures. For
those, a wind tunnel test is required. This research aimed to determine the performance of
the local codes in calculating the wind effect on structures such as BNBC 2020 and BNBC
2006 in addition to the numerical wind tunnel. The other objective was to formulate
empirical equations from the numerical wind tunnel test data to improve the evaluation
process of wind effect, precisely the wind pressure coefficient (Cp). Computational Fluid
Dynamic analysis in a finite element software, named RWIND, was used to perform the
numerical wind tunnel test. The numerical model was first validated with physical wind
tunnel test data. Four-building of the various geometric property was modeled and
simulated to compare the wind pressure coefficient. Another twenty models with different
length-width ratios were simulated and analyzed to develop empirical equations for
calculating the wind pressure coefficient. The study concluded that the proposed empirical
equations evaluate the wind loads better than the BNBC 2020. The proposed empirical
equations demonstrated a mean variation of about 15 percent in the long direction to the
numerical wind tunnel, while the BNBC 2020 showed about 50 percent variation.
Moreover, in the short direction, the proposed equations showed a mean variation of about
28 percent compared to 53 percent of the BNBC 2020. The BNBC 2020 and BNBC 2006
showed a considerable variation in calculating the wind pressure coefficient. The storywise average variation ranged from 47% to 53% in the long direction and 37% to 47% in
the short direction. The numerical wind tunnel following the BNBC 2020 showed relatively
less variation in the calculation of the shear force than the BNBC-2020 manual, and the
average variation was 20% to 30% in the long direction and 16% to 33% in the short
direction. |
en_US |
