Large-Scale Experimental Studies of Structural Control Algorithms for Structures with Magnetorheological Dampers Using Real-Time Hybrid Simulation

AbstractReal-time hybrid simulations using large-scale magnetorheological (MR) dampers were conducted to evaluate the performance of various structural control strategies to control the seismic response of a three-story steel-frame building. Magnetorheological dampers were installed in the building to limit the story drift to less than 1.5% under the design-basis earthquake (DBE). The laboratory specimens, referred to as experimental substructures, were two individual MR dampers, with the remainder of the building modeled as a nonlinear analytical substructure. The experimental technique enables an ensemble of ground motions to be applied to the building, resulting in various levels of damage, without the need to repair the experimental substructures because the damage will be within the analytical substructure. Five different damper control algorithms, including passive and semiactive control algorithms, were selected. An ensemble of five ground motions scaled to the DBE was used for the real-time hybrid...

[1]  Katsuaki Sunakoda,et al.  Development of Large Capacity Semi-Active Seismic Damper Using Magneto-Rheological Fluid , 2004 .

[2]  Johnny Sun,et al.  Development of Ground Motion Time Histories for Phase 2 of the FEMA/SAC Steel Project , 1997 .

[3]  Richard Sause,et al.  Development of analytical models for 0.6 scale self-centering MRF with beam web friction devices , 2009 .

[4]  Richard Christenson,et al.  Large-Scale Experimental Verification of Semiactive Control through Real-Time Hybrid Simulation , 2008 .

[5]  Cv Clemens Verhoosel,et al.  Non-Linear Finite Element Analysis of Solids and Structures , 1991 .

[6]  Shirley J. Dyke,et al.  Semiactive Control Strategies for MR Dampers: Comparative Study , 2000 .

[7]  Chin-Hsiung Loh,et al.  Experimental performance evaluation of an equipment isolation using MR dampers , 2009 .

[8]  Billie F. Spencer,et al.  Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction , 1996 .

[9]  James M. Ricles,et al.  Stability analysis of SDOF real‐time hybrid testing systems with explicit integration algorithms and actuator delay , 2008 .

[10]  Kung-Chun Lu,et al.  Decentralized sliding mode control of a building using MR dampers , 2008 .

[11]  James M. Ricles,et al.  Modeling of a large‐scale magneto‐rheological damper for seismic hazard mitigation. Part II: Semi‐active mode , 2013 .

[12]  William T. Holmes,et al.  The 1997 NEHRP Recommended Provisions for Seismic Regulations for New Buildings and Other Structures , 2000 .

[13]  James M. Ricles,et al.  Tracking Error-Based Servohydraulic Actuator Adaptive Compensation for Real-Time Hybrid Simulation , 2010 .

[14]  Lawrence A. Bergman,et al.  SLIDING MODE CONTROL OF CABLE-STAYED BRIDGE SUBJECTED TO SEISMIC EXCITATION , 2003 .

[15]  Bin Wu,et al.  Performance of an offshore platform with MR dampers subjected to ice and earthquake , 2011 .

[16]  J. N. Yang,et al.  Sliding Mode Control for Nonlinear and Hysteretic Structures , 1995 .

[17]  B.J. Bass,et al.  System Identification of a 200 kN Magneto-Rheological Fluid Damper for Structural Control in Large-Scale Smart Structures , 2007, 2007 American Control Conference.

[18]  Chih-Chen Chang,et al.  NEURAL NETWORK EMULATION OF INVERSE DYNAMICS FOR A MAGNETORHEOLOGICAL DAMPER , 2002 .

[19]  Khaldoon A. Bani-Hani,et al.  Semi‐active neuro‐control for base‐isolation system using magnetorheological (MR) dampers , 2006 .

[20]  O. Mercan,et al.  Real‐time hybrid testing using the unconditionally stable explicit CR integration algorithm , 2009 .

[21]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .