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Wind and Structures Volume 32, Number 5, May 2021 , pages 439-452 DOI: https://doi.org/10.12989/was.2021.32.5.439 |
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Computational method in database-assisted design for wind engineering with varying performance objectives |
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Ali Merhi and Chris W. Letchford
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| Abstract | ||
| The concept of Performance objective assessment is extended to wind engineering. This approach applies using the Database-Assisted Design technique, relying on the aerodynamic database provided by the National Institute of Standards and Technology (NIST). A structural model of a low-rise building is analyzed to obtain influence coefficients for internal forces and displacements. Combining these coefficients with time histories of pressure coefficients on the envelope produces time histories of load effects on the structure, for example knee and ridge bending moments, and eave lateral drift. The peak values of such effects are represented by an extreme-value Type I Distribution, which allows the estimation of the gust wind speed leading to the mean hourly extreme loading that cause specific performance objective compromises. Firstly a fully correlated wind field over large tributary areas is assumed and then relaxed to utilize the denser pressure tap data available but with considerably more computational effort. The performance objectives are determined in accordance with the limit state load combinations given in the ASCE 7-16 provisions, particularly the Load and Resistance Factor Design (LRFD) method. The procedure is then repeated for several wind directions and different dominant opening scenarios to determine the cases that produce performance objective criteria. Comparisons with two approaches in ASCE 7 are made. | ||
| Key Words | ||
| Database-Assisted Design; internal pressures; Computational Wind Engineering; design codes and standards | ||
| Address | ||
| Ali Merhi:Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy NY, U.S.A Chris W. Letchford:Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy NY, U.S.A | ||