Optimal Seismic Response Control of Adjacent Buildings Coupled with a Double Mass Tuned Damper Inerter

authored by: Salah Djerouni, Mahdi Abdeddaim, Said Elias, Dario De Domenico, Rajesh Rupakhety
Abstract: Adjacent buildings are exposed to a high risk of pounding against each other during seismic events. In recent strong earthquakes events, the separation gap has been found to be insufficient to prevent structural damage related to pounding phenomena. The inerter-based tuned mass damper has been validated as an effective, lightweight passive control device by incorporating the inerter into a conventional tuned mass damper (TMD). The proposed system's optimal design is achieved using a constrained optimization problem based on the Grey Wolf Optimizer (GWO) algorithm. This numerical study investigates the capability of reducing the pounding risk of inertially connected tuned mass dampers (TMDs). The presented system connects two high-rise adjacent buildings as a novel seismic protection system. The optimal design of the proposed system is conducted through a constrained optimization problem via a Grey Wolf Optimizer (GWO) algorithm, wherein the pounding gap distance of the two high-rise adjacent buildings is selected as performance index. Optimal results obtained are critically analyzed and compared. For comparison purposes, two separate TMDs are mounted on the rooftop of each of the adjacent buildings, and the two systems are optimized independently under the constraint of the same total mass. Performance of these independent TMDs is evaluated to compared to that of inertially connected ones using a large number of ground motions selected from a set of 462 ground motion records. The main response parameters of interest are the minimum seismic gap for pounding mitigation, along with inter-storey drift. When the two buildings have different natural frequencies, the results reveal that the suggested new device outperforms the non-connected TMDs system.
External Organisation(s): Universite Mohamed Khider, Biskra
University of Iceland
University of Twente
University of Messina
Type: Contribution to book/anthology
Pages: 97-117
No. of pages: 21
Publication date: 2022
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computer Science (miscellaneous), Control and Systems Engineering, Automotive Engineering, Social Sciences (miscellaneous), Economics, Econometrics and Finance (miscellaneous), Control and Optimization, Decision Sciences (miscellaneous)
Electronic version(s): https://doi.org/10.1007/978-3-030-98343-7_6 (Access: Closed)