Cited by 26Vibration Control and Rheological FluidsSeismic Performance and AnalysisStructural Health Monitoring Techniques

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Active control of highway bridges subject to a variety of earthquake loads

Mitchell, Ryan, Cha, Young-Jin, Kim, Yeesock, Mahajan, Aniket Anil·2015·Earthquake Engineering and Engineering Vibration

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Research works printed but not linked: 69

  1. Agrawal A, Tan P, Nagarajaiah S and Zhang J (2009), “Benchmark Structural Control Problem for a Seismically Excited Highway Bridge-Part I: Phase I Problem Definition,” Structural Control and Health Monitoring, 16: 509–529. · DOI
  2. Ahlawat AS and Ramaswamy A (2000), “Multiobjective Optimal Design of FLC Driven Hybrid Mass Damper for Seismically Excited Structures,” Earthquake Engineering and Structural Dynamics, 31: 1459–1479. · DOI
  3. Ahlawat AS and Ramaswamy A (2002), “Multiobjective Optimal FLC Driven Hybrid Mass Damper System for Torsionally Coupled, Seismically Excited Structures,” Earthquake Engineering and Structural Dynamics, 31: 2121–2139. · DOI
  4. Ahlawat AS and Ramaswamy A (2004), “Multiobjective Optimal Fuzzy Logic Control System for Response Control of Wind-Excited Tall Buildings,” ASCE Journal of Engineering Mechanics, 130: 524–530. · DOI
  5. Al-Dawod M, Samali B, Naghdy F, Kwok KCS and Naghdy F (2004), “Fuzzy Controller for Seismically Excited Nonlinear Buildings,” ASCE Journal of Engineering Mechanics, 130: 407–415. · DOI
  6. Alli H and Yakut O (2005), “Fuzzy Sliding-mode Control of Structures,” Engineering Structures, 27: 277–284. · DOI
  7. Arsava SK, Chong JW and Kim Y (2014), “A Novel Health Monitoring Scheme for Smart Structures,” Journal of Vibration and Control, DOI: 10.1177/1077546314533716 . · DOI
  8. Arsava SK, Kim Y, El-Korchi T and Park HS (2013), “Nonlinear System Identification of Smart Structures under High Impact Loads,” Journal of Smart Materials and Structures, 22: DOI: 10.1088/0964-1726/22/5/055008 . · DOI
  9. Arsava SK and Kim Y (2015), “Modeling of Magnetorheological Dampers under Various Impact Loads,” Shock and Vibration, Vol. 2015, Article ID 905186, 20 pages, DOI: 10.1155/2015/905186 . · DOI
  10. Arsava SK, Nam Y and Kim Y (2015), “Nonlinear System Identification of Smart Reinforced Concrete Structures under High Impact Loads,” Journal of Vibration and Control, DOI: 10.1177/1077546314563966 . · DOI
  11. Battaini M, Casciati F and Faravelli L (1998), “Fuzzy Control of Structural Vibration, An Active Mass System Driven by a Fuzzy Controller,” Earthquake Engineering and Structural Dynamics, 27: 1267–1276. · DOI
  12. Battaini M, Casciati F and Faravelli L (2004), “Controlling Wind Response through a Fuzzy Controller,” ASCE Journal of Engineering Mechanics, 130: 486–491. · DOI
  13. Cha YJ and Agrawal AK (2013), “Decentralized Output Feedback Polynomial Control of Seismically Excited Structures Using Genetic Algorithm,” Structural Control and Health Monitoring, 20: 241–258. · DOI
  14. Cha YJ, Agrawal AK, Kim Y and Raich A (2012), “Multi-objective Genetic Algorithms for Cost-effective Distributions of Actuators and Sensors in Large Structures,” Expert Systems with Applications, 39: 7822–7833. · DOI
  15. Cha YJ, Kim Y, Raich A and Agrawal AK (2013), “Multi-objective Optimization for Actuator and Sensor Layouts of Actively Controlled 3D Buildings,” Journal of Vibration and Control, 19: 942–960. · DOI
  16. Chen Y, Yang B, Abraham A and Peng L (2007), “Automatic Design of Hierarchical Takagi-sugeno Type Fuzzy Systems Using Evolutionary Algorithms,” IEEE Transactions on Fuzzy Systems, 15: 385–397. · DOI
  17. Chong JW, Kim Y and Chon K (2014), “Nonlinear Multiclass Support Vector Machine-based Health Monitoring System for Buildings Employing Magnetorheological Dampers,” Journal of Intelligent Material Systems and Structures, 25: 1456–1468. · DOI
  18. Du H and Zhang N (2008), “Application of Evolving Takagi-sugeno Fuzzy Model to Nonlinear System Identification,” Applied Soft Computing, 8: 676–686. · DOI
  19. Faravelli L and Rossi R (2002), “Adaptive Fuzzy Control: Theory versus Implementation,” Journal of Structural Control, 9: 59–73. · DOI
  20. Faravelli L and Yao T (1996), “Use of Adaptive Networks in Fuzzy Control of Civil Structures,” Microcomputer in Civil Engineering, 12: 67–76. · DOI
  21. Federal Highway Administration U.S. Department of Transportation and Federal Transit Administration (2008), “Status of the National Highways, Bridges, and Transit: Conditions and Performance,” Report to Congress.
  22. Goldberg DE (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York.
  23. Gurley K and Kareem A (1999) “Applications of Wavelet Transforms in Earthquake, Wind and Ocean Engineering,” Engineering Structures, 21: 149–167. · DOI
  24. Housner GW, Bergman LA, Caughey TK, Chassiakos AG, Claus RO and Masri SF (1997), “Structural control: Past, Present, and Future,” ASCE Journal of Engineering Mechanics, 123: 897–971. · DOI
  25. Hung SL, Huang CS, Wen CM and Hsu YC (2003), “Nonparametric Identification of a Building Structure from Experimental Data using Wavelet Neural Network,” Computer-Aided Civil and Infrastructure Engineering, 18: 356–368. · DOI
  26. Jang JSR (1993), “ANFIS: Adaptive-network-based Fuzzy Inference System,” IEEE Transactions on Systems, Man and Cybernetics, 23: 665–85. · DOI
  27. Johansen TA (1994), “Fuzzy Model Based Control: Stability, Robustness, and Performance Issues,” IEEE Transactions on Fuzzy Systems, 2: 221–234. · DOI
  28. Johansen TA and Babuška R (2003), “Multi Objective Identification of Takagi-Sugeno Fuzzy Models,” IEEE Transactions on Fuzzy Systems, 11: 847–860. · DOI
  29. Kim Y, Bai JW and Albano LD (2014c), “Fragility Estimates of Smart Structures with Sensor Faults,” Journal of Smart Materials and Structures, 22: 125012, DOI: 10.1088/0964-1726/22/12/125012 . · DOI
  30. Kim Y, Chong JW, Chon K and Kim JM (2013a), “Wavelet-based AR-SVM for Health Monitoring of Smart Structures,” Journal of Smart Materials and Structures, 22: 015003, DOI: 10.1088/0964-1726/22/1/015003 . · DOI
  31. Kim Y, Hurlebaus S and Langari R (2010c), “Control of a Seismically Excited Benchmark Building Using Linear Matrix Inequality-based Semiactive Nonlinear Fuzzy Control,” ASCE, Journal of Structural Engineering, 136: 1023–1026. · DOI
  32. Kim Y, Hurlebaus S and Langari R (2011), “MIMO Fuzzy Identification of Building-MR Damper Systems,” International Journal of Intelligent and Fuzzy Systems, 22: 185–205. · DOI
  33. Kim Y, Hurlebaus S, Sharifi R and Langari R (2009a), “Nonlinear Identification of MIMO Smart Structures,” ASME Dynamic Systems and Control Conference, Hollywood, California, pp. 33–40.
  34. Kim Y, Kim C and Langari R (2010a), “Novel Bioinspired Smart Control for Hazard Mitigation of Civil Structures,” Journal of Smart Materials and Structures, 19: 115009, DOI: 10.1088/0964-1726/19/11/115009 . · DOI
  35. Kim Y, Kim YH and Lee S (2015), “Multivariable Nonlinear Identification of Smart Buildings,” Mechanical Systems and Signal Processing, 62–63: 254–271. · DOI
  36. Kim Y, Kim KH and Shin BS (2014a), “Fuzzy Model Forecasting of Offshore Bar-shape Profiles under High Waves,” Expert Systems with Applications, 41: 5771–5779. · DOI
  37. Kim Y, Langari R and Hurlebaus S (2009b), “Semiactive Nonlinear Control of a Building Using a Magnetorheological Damper System,” Mechanical Systems and Signal Processing, 23: 300–315. · DOI
  38. Kim Y, Langari R and Hurlebaus S (2010b), “Modelbased Multi-input, Multi-output Supervisory Semiactive Nonlinear Fuzzy Controller,” Computer-aided Civil and Infrastructure Engineering, 25: 387–393. · DOI
  39. Kim Y, Mallick R, Bhowmick S and Chen B (2013b), “Nonlinear System Identification of Large-scale Smart Pavement Systems,” Expert Systems with Applications, 40: 3551–3560. · DOI
  40. Kim HS and Roschke PN (2006), “Design of Fuzzy Logic Controller for Smart Base Isolation System Using Genetic Algorithm,” Engineering Structures, 28: 84–96. · DOI
  41. Kim Y, Shin SS and Plummer JD (2014b), “A Waveletbased Autoregressive Fuzzy Model for Forecasting Algal Blooms,” Environmental Modeling & Software, 62: 1–10. · DOI
  42. Kim SB, Yun CB and Spencer BF (2004), “Vibration Control of Wind-excited Tall Buildings Using Sliding Mode Fuzzy Control,” ASCE Journal of Engineering Mechanics, 130: 505–510. · DOI
  43. Langari R (1999), “Past, Present and Future of Fuzzy Control: A Case for Application of Fuzzy Logic in Hierarchical Control,” Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society-NAFIPS, New York City, New York, pp. 760–765.
  44. Loh CH, Wu LY and Lin PY (2003), “Displacement Control of Isolated Structures with Semi-active Control Devices,” Journal of Structural Control, 10: 77–100. · DOI
  45. Mitchell R, Kim Y, El-Korchi T and Cha YJ (2012a), “Wavelet-neuro-fuzzy Control of Hybrid Building-active Tuned Mass Damper System under Seismic Excitations,” Journal of Vibration and Control, 19:1881–1894. · DOI
  46. Mitchell R, Kim Y and El-Korchi T (2012b), “System Identification of Smart Structures Using a Wavelet Neuro-fuzzy Model,” Journal of Smart Materials and Structures, 21: DOI: 10.1088/0964-1726/21/11/115009 . · DOI
  47. Mohammadzadeh S, Kim Y and Ahn J (2015), “PCAbased Neuro-fuzzy Model for System Identification of Smart Structures,” Journal of Smart Structures and Systems, 15: 1139–1158. · DOI
  48. Ning XL, Tan P, Huang DY and Zhou FL (2009), “Application of Adaptive Fuzzy Sliding Mode Control to a Seismically Excited Highway Bridge,” Journal of Structural Control and Health Monitoring, 16: 639–656. · DOI
  49. Ozbulut OE and Hurlebaus S (2011), “Optimal Design of Superelastic-friction Base Isolators for Seismic Protection of Highway Bridges against Near-field Earthquakes,” Earthquake Engineering and Structural Dynamics, 40: 273–291. · DOI
  50. Raich AM and Ghaboussi J (2000), “Evolving Structural Design Solution Using an Implicit Redundant Genetic Algorithm,” Structural Multidisciplinary Optimization, 20: 222–231. · DOI
  51. Schurter KC and Roschke PN (2001), “Neuro-fuzzy Control of Structures Using Magnetorheological Dampers,” Proceedings of the American Control Conference, Arlington, Virginia, pp. 1097–1102.
  52. Soong TT (1990), Active Structural Control: Theory and Practice, Longman Scientific, Essex, UK.
  53. Soong TT and Dargush GF (1997), Passive Energy Dissipatio n Systems in Structural Engineering, John Wiley and Sons Ltd, NYC, New York.
  54. Soong TT and Reinhorn AM (1993), “An Overview of Active and Hybrid Structural Control R-esearch in the US,” Structural Design of Tall and Special Buildings, 2: 192–209.
  55. Spencer BF Jr Christenson RE and Dyke SJ (1999), “Next Generation Benchmark Control Problem for Seismically Excited Buildings,” Proceedings of the Second World Conference on Structural Control, 2, Kyoto, Japan, pp. 1351–1360.
  56. Spencer BF Jr and Nagarajaiah S (2003), “State of the Art of Structural Control Source,” ASCE Journal of Engineering Mechanics, 129: 845–856.
  57. Subramaniam RS, Reinhorn AM, Riley MA and Nagarajaiah S (1996), “Hybrid Control of Structures Using Fuzzy Logic,” Microcomputers in Civil Engineering, 11: 1–17. · DOI
  58. Symans M and Kelly SW (1999), “Fuzzy Logic Control of Bridge Structures Using Intelligent Semi-active Seismic Isolation Systems,” Earthquake Engineering & Structural Dynamics, 28: 37–60. · DOI
  59. Taha MR, Noureldin A, Osman A and El-Sheimy N (2004), “Introduction to the Use of Wavelet Multiresolution Analysis for Intelligent Structural Health Monitoring,” Canadian Journal of Civil Engineering, 31: 719–731. · DOI
  60. Takagi T and Sugeno M (1985), “Fuzzy Identification of Systems and Its Applications to Modeling and Control,” IEEE Transactions on Systems, Man, and Cybernetics, 15: 116–132. · DOI
  61. Tani A, Kawamura H and Ryu S (1998), “Intelligent Fuzzy Optimal Control of Building Structures,” Engineering Structures, 20: 184–192. · DOI
  62. Thuillard Marc (2001), Wavelets in Soft Computing, World Scientific, Singapore. · DOI
  63. Wang AP and Lee CD (2002), “Fuzzy Sliding Mode Control for a Building Structure Based on Genetic Algorithms,” Earthquake Engineering and Structural Dynamics, 31: 881–895. · DOI
  64. Yager RR and Filev DP (1993), “Unified Structure and Parameter Identification of Fuzzy Models,” IEEE Transactions on Systems, Man, and Cybernetics, 23: 1198–1205. · DOI
  65. Yan G and Zhou LL (2006), “Integrated Fuzzy Logic and Genetic Algorithms for Multi-objective Control of Structures Using MR Dampers,” Journal of Sound and Vibration, 296: 368–382. · DOI
  66. Yang YN and Lin S (2005), “Identification of Parametric Variations of Structures Based on Least Squares Estimation and Adaptive Tracking Technique,” ASCE Journal of Engineering Mechanics, 131: 290–298. · DOI
  67. Yao JTP (1972), “Concept of structural control,” ASCE Journal of the Structural Division, 98(ST7): 1567–1574. · DOI
  68. Zadeh LA (1965), Fuzzy Sets. Information and Control, 8: 338–353. · DOI · Paper page
  69. Zhou L, Chang CC and Wang LX (2003), “Adaptive Fuzzy Control for Nonlinear Buildingmagnetorheological Damper System,” ASCE Journal of Structural Engineering, 129: 905–913. · DOI

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Metadata

Authors
Mitchell, R., Cha, Y.-J., Kim, Y., & Mahajan, A. A.
Affiliations
  • Worcester Polytechnic Institute (US)
  • University of Manitoba (CA)
Corresponding author
Kim, Yeesock
Venue
Earthquake Engineering and Engineering Vibration
Published
2015-06
Volume
14
Issue
2
Pages
253-263
ISSN
  • 1671-3664 (ISSN-L)
  • 1993-503X
OpenAlex
W2125245998
Cited by
26
References
0
Citations by year
2025: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 5
FWCI
8.82
Type
journal article
Language
en
Open access
closed
Locations
  • Earthquake Engineering and Engineering Vibration (publishedVersion)
  • 地震工程与工程振动:英文版
Funders
Ministry of Land, Infrastructure and Transport
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Vibration Control and Rheological Fluids
  • Physical Sciences › Engineering › Civil and Structural Engineering › Seismic Performance and Analysis
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
Keywords
active vibration control, highway bridges, seismic response control, discrete wavelet transform, fuzzy logic control, genetic algorithm, artificial neural networks, hydraulic actuators, bridge abutments, earthquake ground motion, El Centro earthquake, Great Hanshin-Awaji Earthquake, Northridge earthquake, Chi-Chi earthquake

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