An efficient differential-evolution-based moving compensation optimization approach for controlling differential column shortening in tall buildings

• Published in: Expert systems with applications 2021-05, Vol.169, p.114531, Article 114531
• Main Authors: Pham, Hoang-Anh, Nguyen, Duc-Xuan, Truong, Viet-Hung
• Format: Article
• Language: English
• Subjects: Adaptive algorithms; Compensation; Differential column shortening; Differential evolution; Error compensation; Evolutionary algorithms; Evolutionary computation; Floors; Moving compensation optimization; Optimization; Reliability; Tall building; Tall buildings
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2020.114531

•Differential-evolution-based moving compensation optimization is established.•The method can control differential column shortening in tall buildings efficiently.•Deterministic and reliability-based optimal compensation problems are considered. In this paper, an efficient procedure integrating the moving compensation optimization (MCO) and a modified differential evolution algorithm is presented for finding 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 efficiency and reliability of the presented compensation approach.