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Skyline‐based ground motion selection method for nonlinear time history analysis of building structures
Author(s) -
Shi Wei,
Pan Peng,
Ye Lieping,
Xu Yajun,
Wang Chaokun
Publication year - 2012
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.2276
Subject(s) - skyline , selection (genetic algorithm) , computer science , ground motion , nonlinear system , measure (data warehouse) , data mining , set (abstract data type) , motion (physics) , process (computing) , algorithm , artificial intelligence , engineering , structural engineering , physics , quantum mechanics , programming language , operating system
SUMMARY This paper develops a novel ground motion selection procedure for nonlinear time history analysis of critical structures. The skyline query originated from computer science is first introduced, including its concept and related algorithms. Then, the ground motion selection procedure based on skyline query is developed. Meanwhile, a new five‐dimensional vector‐valued intensity measure is defined as a critical ingredient of the selection procedure to measure the damage potential of ground motions. Finally, the process of the selection procedure is illustrated through examples of three shear models, and its efficiency is also validated. Through the examples of three shear models, the ground motion selection procedure based on skyline query proposed in this paper is proven to be capable of selecting a limited set of ground motions with high damage potentials for the nonlinear time history analysis purpose. Copyright © 2012 John Wiley & Sons, Ltd.