Semi-active vibration control of smart isolated highway bridge structures using replicator dynamics

Abstract In the past two decades, passive control strategies using isolation and fluid dampers have been employed for the seismic protection of bridge highway structures. The isolation vibration control, however, lacks the adaptability to react in real-time for changes during unpredictable earthquake loadings. This research advances the idea of combining the conventional passive control (base isolation) with a semi-active or active control system to create the next generation of smart bridge structures. A novel control algorithm based on the evoluationary game theory concept of replicator dynamics is investigated for vibration reduction of highway bridge structures equipped with both a passive isolation system and semi-active control devices subjected to earthquake loadings. The proposed methodology is evaluated by application to a benchmark example based on Interstate 5 overcrossing California State Route 91 (abbreviated as 91/5) bridge in southern California subjected to near-field historical earthquake excitations. Substantial reduction in mid-span displacement is achieved compared with the conventional base-isolated bridge.

[1]  Kris De Brabanter,et al.  Wavelet Filter Design for Pavement Roughness Analysis , 2016, Comput. Aided Civ. Infrastructure Eng..

[2]  Nicos Makris,et al.  Seismic Response Analysis of a Highway Overcrossing Equipped with Elastomeric Bearings and Fluid Dampers , 2004 .

[3]  Wei Li,et al.  Mountain Railway Alignment Optimization with Bidirectional Distance Transform and Genetic Algorithm , 2017, Comput. Aided Civ. Infrastructure Eng..

[4]  Shirley J. Dyke,et al.  PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS , 1997 .

[5]  H Adeli,et al.  WAVELET HYBRID FEEDBACK-LMS ALGORITHM FOR ROBUST CONTROL OF CABLE-STAYED BRIDGES , 2005 .

[6]  Shirley J. Dyke,et al.  Phenomenological Model of a Magnetorheological Damper , 1996 .

[7]  Moshe Zukerman,et al.  Multiobjective Path Optimization for Critical Infrastructure Links with Consideration to Seismic Resilience , 2017, Comput. Aided Civ. Infrastructure Eng..

[8]  Nong Zhang,et al.  Direct voltage control of magnetorheological damper for vehicle suspensions , 2013 .

[9]  F. C. Hadipriono,et al.  ANALYSIS OF RECENT BRIDGE FAILURES IN THE UNITED STATES , 2003 .

[10]  Anil K. Agrawal,et al.  An innovative hardware emulated simple passive semi-active controller for vibration control of MR dampers , 2015 .

[11]  Y. Fujino,et al.  Vibration Mechanisms and Controls of Long-Span Bridges: A Review , 2013 .

[12]  Jian Zhang,et al.  Optimal Design of Seismic Protective Devices for Highway Bridges Using Performance-Based Methodology and Multiobjective Genetic Optimization , 2017 .

[13]  Yi-Qing Ni,et al.  State‐Derivative Feedback Control of Cable Vibration Using Semiactive Magnetorheological Dampers , 2005 .

[14]  Alex Alexandridis,et al.  A particle swarm optimization approach in printed circuit board thermal design , 2017, Integr. Comput. Aided Eng..

[15]  N. M. Kwok,et al.  Smart Structures With Current-Driven MR Dampers: Modeling and Second-Order Sliding Mode Control , 2013, IEEE/ASME Transactions on Mechatronics.

[16]  Hojjat Adeli,et al.  Recent advances in control algorithms for smart structures and machines , 2017, Expert Syst. J. Knowl. Eng..

[17]  Ferrante Neri,et al.  Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm , 2016, Integr. Comput. Aided Eng..

[18]  Ali Mostafavi,et al.  Multiagent Simulation for Complex Adaptive Modeling of Road Infrastructure Resilience to Sea‐Level Rise , 2018, Comput. Aided Civ. Infrastructure Eng..

[19]  Y. Wen Method for Random Vibration of Hysteretic Systems , 1976 .

[20]  Felix Weber,et al.  Curved surface sliders with friction damping, linear viscous damping, bow tie friction damping, and semiactively controlled properties , 2018 .

[21]  Raid Karoumi,et al.  Passive and Adaptive Damping Systems for Vibration Mitigation and Increased Fatigue Service Life of a Tied Arch Railway Bridge , 2015, Comput. Aided Civ. Infrastructure Eng..

[22]  Andres Pantoja,et al.  Building Temperature Control Based on Population Dynamics , 2014, IEEE Transactions on Control Systems Technology.

[23]  Hojjat Adeli,et al.  Intelligent Infrastructure: Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures , 2008 .

[24]  Manuel Graña,et al.  Variable speed wind turbine controller adaptation by reinforcement learning , 2016, Integr. Comput. Aided Eng..

[25]  R. S. Jangid,et al.  Seismic protection of the horizontally curved bridge with semi-active variable stiffness damper and isolation system , 2016 .

[26]  Sergio Bittanti Count Riccati and the Early Days of the Riccati Equation , 1991 .

[27]  Marco Domaneschi,et al.  Wind and earthquake protection of cable-supported bridges , 2016 .

[28]  Khalid M. Mosalam,et al.  Deep Transfer Learning for Image‐Based Structural Damage Recognition , 2018, Comput. Aided Civ. Infrastructure Eng..

[29]  Ping Tan,et al.  Benchmark structural control problem for a seismically excited highway bridge—Part I: Phase I Problem definition , 2009 .

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

[31]  Hojjat Adeli,et al.  Algorithms for chattering reduction in system control , 2012, J. Frankl. Inst..

[32]  Branislav Rehák,et al.  Decentralized Networked Control of Building Structures , 2016, Comput. Aided Civ. Infrastructure Eng..

[33]  Osamu Yoshida,et al.  Seismic Control of a Nonlinear Benchmark Building using Smart Dampers , 2004 .

[34]  Hyokyung Bahn,et al.  A smart elevator scheduler that considers dynamic changes of energy cost and user traffic , 2017, Integr. Comput. Aided Eng..

[35]  R. Bouc Forced Vibration of Mechanical Systems with Hysteresis , 1967 .

[36]  Hojjat Adeli,et al.  Multi-agent replicator controller for sustainable vibration control of smart structures , 2017 .

[37]  M. Nowak Evolutionary Dynamics: Exploring the Equations of Life , 2006 .

[38]  Jian Zhang,et al.  A Quantum‐Inspired Genetic Algorithm‐Based Optimization Method for Mobile Impact Test Data Integration , 2018, Comput. Aided Civ. Infrastructure Eng..

[39]  María José del Jesús,et al.  A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets , 2017, Int. J. Neural Syst..

[40]  Hojjat Adeli,et al.  COMPUTATIONAL EARTHQUAKE ENGINEERING OF BRIDGES , 2010 .

[41]  Stefan Hurlebaus,et al.  Performance-Based Probabilistic Capacity Models and Fragility Estimates for RC Columns Subject to Vehicle Collision , 2015, Comput. Aided Civ. Infrastructure Eng..

[42]  H Adeli,et al.  Optimal Control of Adaptive/Smart Bridge Structures , 1997 .

[43]  Ping Tan,et al.  Benchmark structural control problem for a seismically excited highway bridge—Part III: Phase II Sample controller for the fully base‐isolated case , 2009 .

[44]  Hojjat Adeli,et al.  Vibration control of smart base-isolated irregular buildings using neural dynamic optimization model and replicator dynamics , 2018 .

[45]  Hojjat Adeli,et al.  Optimum tuning parameters of tuned mass dampers for vibration control of irregular highrise building structures , 2014 .

[46]  Takuji Kobori,et al.  Seismic response controlled structure with Active Variable Stiffness system , 1993 .

[47]  Young-Jin Cha,et al.  Velocity based semi‐active turbo‐Lyapunov control algorithms for seismically excited nonlinear smart structures , 2013 .

[48]  Francisco Madeiro,et al.  Hybrid firefly-Linde-Buzo-Gray algorithm for Channel-Optimized Vector Quantization codebook design , 2017, Integr. Comput. Aided Eng..

[49]  James M. Ricles,et al.  Variable friction device for structural control based on duo-servo vehicle brake: Modeling and experimental validation , 2015 .

[50]  Héctor Quintián-Pardo,et al.  Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit , 2017, Int. J. Neural Syst..

[51]  Hongzhe Dai,et al.  A Wavelet Support Vector Machine‐Based Neural Network Metamodel for Structural Reliability Assessment , 2017, Comput. Aided Civ. Infrastructure Eng..

[52]  S. N. Madhekar,et al.  Seismic Performance of Benchmark Highway Bridge with Variable Friction Pendulum System , 2010 .

[53]  Ivan Jordanov,et al.  Quantum inspired evolutionary algorithms with improved rotation gates for real-coded synthetic and real world optimization problems , 2017, Integr. Comput. Aided Eng..

[54]  Giuseppe Maddaloni,et al.  Smart Hybrid Isolation of a Case Study Highway Bridge Exploiting Seismic Early Warning Information , 2017 .

[55]  Raouf A. Ibrahim,et al.  Recent advances in nonlinear passive vibration isolators , 2008 .

[56]  Hojjat Adeli,et al.  Optimization of space structures by neural dynamics , 1995, Neural Networks.

[57]  Yoram Reich Artificial intelligence in bridge engineering , 1996 .

[58]  Yeesock Kim,et al.  Active control of highway bridges subject to a variety of earthquake loads , 2015, Earthquake Engineering and Engineering Vibration.

[59]  Hojjat Adeli,et al.  Self-constructing wavelet neural network algorithm for nonlinear control of large structures , 2015, Eng. Appl. Artif. Intell..

[60]  Hyo Seon Park,et al.  Neurocomputing for Design Automation , 2018 .

[61]  Khaled S. Hatamleh,et al.  Structural control of MR-dampers with genetic algorithm-optimized Quasi-Bang-Bang controller , 2017, 2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO).

[62]  Yan Su,et al.  Shape Generation of Grid Structures by Inverse Hanging Method Coupled with Multiobjective Optimization , 2018, Comput. Aided Civ. Infrastructure Eng..

[63]  Shirley J. Dyke,et al.  Seismic Fragility Relationships of a Cable-Stayed Bridge Equipped with Response Modification Systems , 2014 .

[64]  Giuseppe Maddaloni,et al.  Seismic protection of structures by smart passive control system using “regional algorithms” , 2014, 2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings.

[65]  Yi-Zhou Lin,et al.  Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning , 2017, Comput. Aided Civ. Infrastructure Eng..