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Efficient performance‐based design using parallel and cloud computing
Author(s) -
Ventura Carlos E.,
Bebamzadeh Armin,
Fairhurst Michael
Publication year - 2015
Publication title -
the structural design of tall and special buildings
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 43
eISSN - 1541-7808
pISSN - 1541-7794
DOI - 10.1002/tal.1222
Subject(s) - cloud computing , computer science , supercomputer , server , distributed computing , nonlinear system , utility computing , parallel computing , cloud computing security , operating system , physics , quantum mechanics
Summary Performance‐based design offers a more direct, non‐prescriptive and rational approach over more traditional approaches used for the design of buildings and other structures. However, performance‐based design requires the use of extensive nonlinear analyses on three‐dimensional building models and typically requires significant computational capabilities and/or time to conduct such analyses. A practical way to overcome these limitations is to utilize recent advantages in parallel computing using cloud‐based servers to conduct the necessary analyses. This approach can be used as a cost‐effective way to conduct structural analyses in a fraction of the time compared with traditional computational methods. This paper explores the use of parallel and cloud computing in the performance‐based design and analysis of tall buildings. Two case studies are presented that highlight the application of high‐performance computing for the nonlinear dynamic analysis of a detailed 52‐story building model. These case studies highlight both the cost and time benefits provided by high‐performance computing for performance‐based earthquake engineering. Copyright © 2015 John Wiley & Sons, Ltd.