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An effcient differential-evolution-based moving compensation optimization approach for controlling differential column shortening in tall buildings
Tác giả: Hoang-Anh Pham, Duc-Xuan Nguyen, Viet-Hung Truong
302    0
Expert Systems With Applications
Quyển: 169     Trang: 1-10
Minh chứng: undefined
Năm xuất bản: 12/2020
Tóm tắt
In this paper, an effcient procedure integrating the moving compensation optimization (MCO) and a modifed differential evolution algorithm is presented for fnding the optimal solution to compensate for the differential column shortening (DCS) in tall buildings. In the proposed compensation procedure, the number of compensation groups is minimized by maximizing the number of floors for each group stepwise with constraints placed on the compensation error at each floor level. Two optimal compensation problems are presented, including the deterministic optimal compensation (DOC) and the reliability-based optimal compensation (ROC), which correspond to ignoring or considering the uncertainties that are inherent in the predicted shortenings as well as the correction amounts. A parameter-free, adaptive differential evolution algorithm is established to solve MCO. Applications for a 70-story building and a 72-story building are examined to demonstrate the effciency and reliability of the presented compensation approach.