Optimum tuning parameters of tuned mass dampers for vibration control of irregular highrise building structures

Abstract

Tall buildings have become increasingly one-of-a-kind signature structures that are often irregular in plan and elevation with complicated dynamic behavior. Vibration control of irregular highrise building structures using a recently developed tuned mass dampers (TMD), the bidirectional TMD (BTMD), is investigated. A key issue for effective implementation of a TMD is the determination of their tuning parameters. Eight different sets of equations for tuning the parameters of TMDs are investigated using a 5-story building with plan and elevation irregularity, and a 15-story and a 20-story building with plan irregularity subjected to seismic loading. Appropriate equations are recommended for building structures with a fundamental period of vibrations of greater than one second.

Keywords:

• vibration control
• tuned mass damper
• highrise building
• irregular structure

Additional information

Notes on contributors

Mariantonieta Gutierrez Soto

Mariantonieta GUTIERREZ SOTO. She is currently a PhD degree student in Civil Engineering and a Graduate Teaching Associate at the Engineering Education Innovation Center, College of Engineering Department, at Ohio State University. She received her BS degree in Civil Engineering from Lamar University, Beaumont, Texas in 2010 and her MS in Civil Engineering, with a Structural Engineering focus, in 2012 from Ohio State University. In 2011, she received the Distinguished Graduate Student Women in Engineering Award. Her current research interests include structural control and health monitoring, earthquake engineering and sustainability infrastructure.

Hojjat Adeli

Hojjat ADELI. Is Professor of Civil, Environmental, and Geodetic Engineering at the Ohio State University. He has authored/co-authored 285 journal articles in various fields of computer science, engineering, mathematics, and medicine since 1976 when he received his PhD from Stanford University at the age of 26. He has authored/co-authored 15 books. He also holds a United States patent for his neural dynamic computational model. He is the quadruple winner of The Ohio State University Lumley Outstanding Research Award. In 1998 he received The Ohio State University's highest research honor, the Distinguished Scholar Award “in recognition of extraordinary accomplishment in research and scholarship”. In 2005, he was elected Distinguished Member, American Society of Civil Engineers: “for wide-ranging, exceptional, and pioneering contributions to computing in civil engineering and extraordinary leadership in advancing the use of computing and information technologies in many engineering disciplines throughout the world”. In 2007, he received the Ohio State University College of Engineering Peter L. and Clara M. Scott Award for Excellence in Engineering Education “for sustained, exceptional, and multi-faceted contributions to numerous fields including computer-aided engineering, knowledge engineering, computational intelligence, large-scale design optimization, and smart structures with worldwide impact“, as well as the Charles E. MacQuigg Outstanding Teaching Award. In 2008, he was elected a Fellow of the American Association for the Advancement of Science (AAAS), “for distinguished contributions to computational infrastructure engineering”. In 2010 the ASCE journal of Leadership and Management in Engineering profiled him as an Engineering Legend. He is also a Fellow of IEEE and the American Neurological Association. He is the recipient of the 2012 IEEE-EMBS Outstanding Paper Award, Omar Khayyam Research Excellence Award from Scientia Iranica, the Eduardo Renato Caianiello Award for Excellence in Scientific Research, and a Special Medal from the Polish Neural Network Society in Recognition of Outstanding Contribution to the Development of Computational Intelligence. He is the Editor-in-Chief of the international research journal Computer-Aided Civil and Infrastructure Engineering which he founded in 1986.