Self-Tuning Fuzzy Control for Seismic Protection of Smart Base-Isolated Buildings Subjected to Pulse-Type Near-Fault Earthquakes

Zhao, De Hong; Liu, Yang; Li, Hong‐Nan

doi:10.3390/app7020185

Cited by 10 publications

(8 citation statements)

References 25 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fuzzy logic controller designed in this paper involves three basic steps [38,39]: fuzzification, fuzzy rule and fuzzy inference, defuzzification.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Bai¹,

Yang²,

Li³

et al. 2019

J. vibroeng.

View full text Add to dashboard Cite

Combining P-type iterative learning (IL) control, fuzzy logic control and artificial bee colony (ABC) algorithm, a new optimal fuzzy IL controller is designed for active vibration control of piezoelectric smart structures. In order to accelerate the learning speed of feedback gain, the fuzzy logic controller is integrated into the ANSYS finite element (FE) models by using APDL (ANSYS Parameter Design Language) approach to adjust adaptively the learning gain of P-type IL control. For improving the performance and robustness of the fuzzy logic controller as well as diminishing human intervention in the operation process, ABC algorithm is used to automatically identify the optimal configurations for values in fuzzy query table, fuzzification parameters and defuzzification parameters, and the main program of ABC algorithm is operated in MATLAB. The active vibration equations are driven from the FE equations for the dynamic response of a linear elastic piezoelectric smart structure. Considering the vibrations generated by various external disturbances, the optimal fuzzy IL controller is numerically investigated for a clamped piezoelectric smart plate. Results demonstrate that the proposed control approach makes the feedback gain has a fast learning speed and performs excellent in vibration suppression. This is demonstrated in the results by comparing the new control approach with the P-type IL control.

show abstract

“…The fuzzy logic controller designed in this paper involves three basic steps [38,39]: fuzzification, fuzzy rule and fuzzy inference, defuzzification.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Bai¹,

Yang²,

Li³

et al. 2019

J. vibroeng.

View full text Add to dashboard Cite

show abstract

“…In past decades, a great deal of effort has been made to improve the isolation effect, or in other words, to isolate the seismic response of the superstructure [1,2]. Rubber-bearing isolation with active or semi-active control are also studied to the increase isolation effect [3][4][5][6] subject to design and rare earthquakes. A MR (Magneto-Rheological) damper is suitable for semi-active control in a base-isolated structure under long-period earthquakes [7].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Comparison of Two Base Isolation Systems with Super-Large Displacement Friction Pendulum Bearings

2020

Applied Sciences

View full text Add to dashboard Cite

Isolation technology has been successfully applied in seismic migration. With increasing of seismic demand, seismic performance of isolation structures subjected to very-rare earthquakes need further improvement. However, the isolation layer generally lacks sufficient deformation ability under very-rare earthquakes due to the deformation limit of classical isolation bearing. In order to circumvent the difficulty, this paper develops two new isolation bearings, namely super-large displacement rotation friction pendulum bearing (SLDRFPB) and super-large displacement translation friction pendulum bearing (SLDTFPB). By setting spherical shells with large span and large radius, large horizontal displacement and small horizontal stiffness can be achieved. Safety of the isolation layer and the isolation effect of the superstructure can be greatly improved. SLDTFPB differs from SLDRFPB in the motion state of the superstructure and space utilization of the isolation layer, thus SLDRFPB and SLDTFPB are suitable for structures with different requirements. Due to rotation of the superstructure with SLDRFPB or sliding frames in SLDTFPB, the traditional design method of friction pendulum bearing is no longer suitable. We present a new procedure to accurately and conveniently evaluate seismic performance of two developed bearings. Numerical simulation shows that the seismic response of both the superstructure and isolation layer is small. Developed SLDRFPB and SLDTFPB have sufficient emergency capacity and isolation resilience when subjected to very-rare earthquakes.

show abstract

“…For instance, references [9][10][11] evaluated the response of buildings and predicted the near-field response spectrum. References [12][13][14][15][16][17] examined the effects of pulse-like motions on building response. Moreover, the impacts on strength reduction factors were assessed in references [9,15,18,19].…”

Section: Introductionmentioning

confidence: 99%

Seismic Response of Steel Moment Frames (SMFs) Considering Simultaneous Excitations of Vertical and Horizontal Components, Including Fling-Step Ground Motions

Shahbazi¹,

Karami

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

Near-field (NF) earthquakes have drawn considerable attention from earthquake and structural engineers. In the field of earthquake engineering, numerous studies have identified the devastating nature of such earthquakes, and examined the characteristics related to the response of engineering structures to these types of earthquakes. Herein, special steel moment frames (SMFs) of three-, five-, and eight-story buildings have been examined via a nonlinear time history analysis in OpenSees software. The behavioral seismic differences of these frames have been evaluated in two states: (1) under the simultaneous excitation of the horizontal and vertical constituents of near-field earthquakes that have Fling-steps in their records; and (2) under simultaneous excitation of the horizontal and vertical constituents of far-field (FF) earthquakes. In addition, during modeling, the effects of panel zones have been considered. Considering that the simultaneous effects of the horizontal and vertical constituents of near-field earthquakes were subjected to a fling-step resulting in an increased inter-story drift ratio, the horizontal displacement of stories, an axial force of columns, created the moment in columns, base shearing of the structure, and velocity and acceleration of the stories.

show abstract

Self-Tuning Fuzzy Control for Seismic Protection of Smart Base-Isolated Buildings Subjected to Pulse-Type Near-Fault Earthquakes

Cited by 10 publications

References 25 publications

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Performance Analysis and Comparison of Two Base Isolation Systems with Super-Large Displacement Friction Pendulum Bearings

Seismic Response of Steel Moment Frames (SMFs) Considering Simultaneous Excitations of Vertical and Horizontal Components, Including Fling-Step Ground Motions

Contact Info

Product

Resources

About