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HYBRID SYSTEM CONTROLLED BY A -SYNTHESIS METHOD International Symposium on Earthquake Engineering Commemorating 10 th Anniversary of the 1995 Kobe Earthquake Kyu-Sik Park, Post-Doctoral Researcher, KAIST, Korea Namihiko Inoue, Senior Researcher, BRI, Japan Hyung-Jo Jung, Assistant Professor, Sejong Univ., Korea In-Won Lee, Professor, KAIST, Korea
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Structural Dynamics & Vibration Control Lab., KAIST 2 Introduction Robust hybrid control system Numerical examples Conclusions Contents
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Structural Dynamics & Vibration Control Lab., KAIST 3 Introduction Hybrid control system (HCS) A combination of passive and active/semiactive control devices Passive devices: insure the control system robustness Active/semiactive devices: improve the control performances The overall system robustness may be negatively impacted by active/semiactive device or active/semiactive controller may cause instability due to small margins.
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Structural Dynamics & Vibration Control Lab., KAIST 4 Objective Apply a hybrid control system for vibration control of a seismically excited cable-stayed bridge Apply a -synthesis method to improve the controller robustness
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Structural Dynamics & Vibration Control Lab., KAIST 5 Robust Hybrid Control System (RHCS) Control devices Passive control devices Lead rubber bearings (LRBs) Design procedure: Ali and Abdel-Ghaffar (1995) Bouc-Wen model
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Structural Dynamics & Vibration Control Lab., KAIST 6 Active control devices Hydraulic actuators (HAs) An actuator capacity has a capacity of 1000 kN. The actuator dynamics are neglected.
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Structural Dynamics & Vibration Control Lab., KAIST 7 Control algorithm: -synthesis method where : structured singular value : transfer function of closed-loop system : perturbation Cost function (1) Advantages Combine uncertainty in the design procedure Guarantee the stability and performance (robust performance)
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Structural Dynamics & Vibration Control Lab., KAIST 8 Frequency dependent filters Kanai-Tajimi filter (2)
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Structural Dynamics & Vibration Control Lab., KAIST 9 High-pass and low-pass filters (3), (4)
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Structural Dynamics & Vibration Control Lab., KAIST 10 Additive uncertainty filter (5) Multiplicative uncertainty filter (6)
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Structural Dynamics & Vibration Control Lab., KAIST 11 LRB-installed structure Sensor -synthesis method HA Block diagram of robust hybrid control system
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Structural Dynamics & Vibration Control Lab., KAIST 12 Analysis model Bridge model Bill Emerson Memorial Bridge · Benchmark control problem · Located in Cape Girardeau, MO, USA · 16 shock transmission devices (STDs) are employed between the tower-deck connections. Numerical Examples
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Structural Dynamics & Vibration Control Lab., KAIST 13 Configuration of control devices (LRBs+HAs) 142.7 m350.6 m 142.7 m
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Structural Dynamics & Vibration Control Lab., KAIST 14 Bent 1 4 actuators 2 actuators Pier 2 Pier 3 Pier 4 bottom view of bridge deck edge girder tower deck LRB Placement of control devices
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Structural Dynamics & Vibration Control Lab., KAIST 15 PGA: 0.348g PGA: 0.143g PGA: 0.265g Historical earthquake excitations
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Structural Dynamics & Vibration Control Lab., KAIST 16 - Max. responses J 1 : Base shear J 2 : Shear at deck level J 3 : Base moment J 4 : Moment at deck level J 5 : Cable deviation J 6 : Deck dis. - Normed responses J 7 : Base shear J 8 : Shear at deck level J 9 : Base moment J 10 : Moment at deck level J 11 : Cable deviation Evaluation criteria
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Structural Dynamics & Vibration Control Lab., KAIST 17 Analysis results Control performances Displacement under El Centro earthquake (a) STDs(b) RHCS
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Structural Dynamics & Vibration Control Lab., KAIST 18 Cable tension under El Centro earthquake (a) STDs(b) RHCS
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Structural Dynamics & Vibration Control Lab., KAIST 19 Base shear force under El Centro earthquake (a) STDs(b) RHCS
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Structural Dynamics & Vibration Control Lab., KAIST 20 PassiveActiveSemiactiveHybrid IHybrid II Max. dis (cm) 0.27450.1054 0.1091 0.11170.0804 Max. deck shear (kN) 55334344 5206 33754408 Max. base moment (kN m) 349754249586 267714 244316244582 Max. (T max /T f ) 0.47730.4561 0.4611 0.45860.4556 Min. (T min /T f ) 0.27050.2822 0.2774 0.28530.2821 Max. ( T) 784453 527 453438 Max. control force (kN) 11021000 13381493 Normed control force (kN)11014112112093 Important responses of bridge and the peak and normed control forces for all the three earthquakes T f : failure tension of cable Passive: LRB, Active: HA/ , Semiactive: MRD/ , Hybrid I: LRB+HA/LQG, Hybrid II: LRB+HA/
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Structural Dynamics & Vibration Control Lab., KAIST 21 Controller robustness The dynamic characteristic of as-built bridge is not identical to the numerical model. There are large differences at high frequencies between evaluation and design models. There is a time delay of actuator introduced by the controller dynamics and A/D input and D/A output conversions. Robust analysis should be performed to verify the applicability of the control system.
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Structural Dynamics & Vibration Control Lab., KAIST 22 where: nominal stiffness matrix : perturbed stiffness matrix : perturbation amount Stiffness matrix perturbation Mass matrix perturbation · Additional snow loads (97.7 kg/m 2, UBC) are added to the deck. where: time delay : time delay amount : sampling time (0.02 sec) Time delay of actuator (7) (8)
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Structural Dynamics & Vibration Control Lab., KAIST 23 Max. variation of evaluation criteria vs. variation of stiffness perturbation
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Structural Dynamics & Vibration Control Lab., KAIST 24 Max. variation of evaluation criteria vs. variation of time delay
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Structural Dynamics & Vibration Control Lab., KAIST 25 Max. variation of evaluation criteria vs. variation of stiffness perturbation and time delay (w/o snow)
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Structural Dynamics & Vibration Control Lab., KAIST 26 Max. variation of evaluation criteria vs. variation of stiffness perturbation and time delay (w/ snow)
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Structural Dynamics & Vibration Control Lab., KAIST 27 Robust hybrid control system Control performance is improved consuming similar control forces. Has excellent robustness without loss of control performances could be used for cable-stayed bridges containing many uncertainties Conclusions
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Structural Dynamics & Vibration Control Lab., KAIST 28 Thank you for your attention! This presentation is supported by the Japan Association for Earthquake Engineering (JAEE). Acknowledgements
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