Frontiers of Structural and Civil Engineering | Vol., Issue. | 2020-05-19 | Pages 1-9
Multiple damage detection in complex bridges based on strain energy extracted from single point measurement
Strain Energy of the structure can be changed with the damage at the damage location. The accurate detection of the damage location using this index in a f
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Multiple damage detection in complex bridges based on strain energy extracted from single point measurement
Strain Energy of the structure can be changed with the damage at the damage location. The accurate detection of the damage location using this index in a f
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Hamid Reza Ahmadi,Alireza Arabha Najafabadi,Farhad Daneshjoo,.Multiple damage detection in complex bridges based on strain energy extracted from single point measurement. (),1-9.
Miyamoto A, Kiviluoma R, Yabe A. Frontier of continuous structural health monitoring system for short & medium span bridges and condition assessment. Frontiers of Structural and Civil Engineering, 2018, 13(3): 569–604
Doebling S W, Farrar C R, Prime M B. A summary review of vibration-based damage identification methods. Shock and Vibration Digest, 1998, 30(2): 91–105
Meixedo A, Calçada R A, Alves V, Ribeiro D, Cury A. Damage identification of a railway bridge based on genetic algorithms. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, 2016, 17: 311
Talebinejad I, Fischer C, Ansari F. Numerical evaluation of vibration-based methods for damage assessment of cable-stayed bridges. Computer-Aided Civil and Infrastructure Engineering, 2011, 26(3): 239–251
Zhu X, Hao H. Development of an integrated structural health monitoring system for bridge structures in operational conditions. Frontiers of Structural and Civil Engineering, 2012, 6(3): 321–333
Duffey T A, Doebling S W, Farrar C R, Baker W E, Rhee W H. Vibration-based damage identification in structures exhibiting axial and torsional response. Journal of Vibration and Acoustics, 2001, 123(1): 84–91
Beer F P, Johnston E R, DeWolf J T, Mazurek D F. Mechanics of Materials. 7th ed. McGraw-Hill Education, 2015
Alvandi A, Cremona C. Assessment of vibration-based damage identification techniques. Journal of Sound and Vibration, 2006, 292(1–2): 179–202
Casas J R. European standardization of quality specifications for roadway bridges: An overview. In: Proceedings of the 8th International Conference on Bridge Maintenance, Safety and Management. Foz do Iguaçu, 2016
Gharighoran A, Daneshjoo F, Khaji N. Use of Ritz method for damage detection of reinforced and post-tensioned concrete beams. Construction & Building Materials, 2009, 23(6): 2167–2176
Mohamadi Dehcheshmeh M, Amiri G G, Zare Hosseinzadeh A, Torbatinejad V. Structural damage detection based on modal data using moth-flame optimization algorithm. Proceedings of the Institution of Civil Engineers, Structures and Buildings, 2019, 18: 1–43
Fan W, Qiao P. Vibration-based damage identification methods: A review and comparative study. Structural Health Monitoring, 2011, 10(1): 83–111
Ghasemi H, Park H S, Rabczuk T. A multi-material level set-based topology optimization of flexoelectric composites. Computer Methods in Applied Mechanics and Engineering, 2018, 332: 47–62
Žnidarič A, Lavrič I, Kalin J. Measurements of bridge dynamics with a bridge weigh-in-motion system. In: International Conference on Heavy Vehicles HVParis 2008: Weigh-In-Motion (ICWIM 5). Hoboken, NJ: John Wiley & Sons, Inc., 2009
Stubbs N, Kim J T, Farrar C R. Field verification of a nondestructive damage localization and severity estimation algorithm. In: Proceedings-SPIE the International Society for Optical Engineering. Nashville, TN: SPIE International Society for Optical, 1995
Caltrans S D. Caltrans Seismic Design Criteria. Version 1.7. Sacramento, CA: California Department of Transportation, 2013
Vo-Duy T, Nguyen-Minh N, Dang-Trung H, Tran-Viet A, Nguyen-Thoi T. Damage assessment of laminated composite beam structures using damage locating vector (DLV) method. Frontiers of Structural and Civil Engineering, 2015, 9(4): 457–465
Yan Y J, Cheng L, Wu Z Y, Yam L H. Development in vibration-based structural damage detection technique. Mechanical Systems and Signal Processing, 2007, 21(5): 2198–2211
Guo H, Zhuang X, Rabczuk T. A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate. Computers, Materials & Continua, 2019, 59(2): 433–456
Anderson J C, Naeim F. Basic structural dynamics. Los Angeles, CA: John Wiley & Sons, 2012
Najafabadi AA, Daneshjoo F, Bayat M. A novel index for damage detection of deck and dynamic behavior of horizontally curved bridges under moving load. Journal of Vibroengineering, 2017, 19(7): 5421–33
Wu Z, Liu G, Zhang Z. Experimental study of structural damage identification based on modal parameters and decay ratio of acceleration signals. Frontiers of Architecture and Civil Engineering in China, 2011, 5(1): 112–120
Matos J C, Casas J R, Fernandes S. COST Action TU 1406 quality specifications for roadway bridges (BridgeSpec). In: IABMAS Conference. CRC Press, 2016.
Ndambi J M, Vantomme J, Harri K. Damage assessment in reinforced concrete beams using eigenfrequencies and mode shape derivatives. Engineering Structures, 2002, 24(4): 501–515
Carden E P, Fanning P. Vibration based condition monitoring: A review. Structural Health Monitoring, 2004, 3(4): 355–377
Vu-Bac N, Duong T X, Lahmer T, Zhuang X, Sauer R A, Park H S, Rabczuk T. A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures. Computer Methods in Applied Mechanics and Engineering, 2018, 331: 427–455
Dilena M, Limongelli M P, Morassi A. Damage localization in bridges via the FRF interpolation method. Mechanical Systems and Signal Processing, 2015, 52–53: 162–180
Kim C W, Kawatani M, Hao J. Modal parameter identification of short span bridges under a moving vehicle by means of multivariate AR model. Structure and Infrastructure Engineering, 2012, 8(5): 459–472
Anitescu C, Hossain M N, Rabczuk T. Recovery-based error estimation and adaptivity using high-order splines over hierarchical T-meshes. Computer Methods in Applied Mechanics and Engineering, 2018, 328: 638–662
Bayat M, Pakar I, Bayat M. On the large amplitude free vibrations of axially loaded Euler-Bernoulli beams. Steel and Composite Structures, 2013, 14(1): 73–83
Limongelli M P. The interpolation damage detection method for frames under seismic excitation. Journal of Sound and Vibration, 2011, 330(22): 5474–5489
Ahmadi H R, Anvari D. New damage index based on least squares distance for damage diagnosis in steel girder of bridge’s deck. Structural Control and Health Monitoring, 2018, 25(10): e2232
Ghodrati Amiri G, Hosseinzadeh A Z, Bagheri A, Koo K Y. Damage prognosis by means of modal residual force and static deflections obtained by modal flexibility based on the diagonalization method. Smart Materials and Structures, 2013, 22(7): 075032
ASCE. Global Topics Report on the Prestandard and Commentary for the Seismic Rehabilitation of Buildings (FEMA357). Washington, D.C.: Federal Emergency Management Agency, 2000
Pnevmatikos N G, Hatzigeorgiou G D. Damage detection of framed structures subjected to earthquake excitation using discrete wavelet analysis. Bulletin of Earthquake Engineering, 2017, 15(1): 227–248
Sung S H, Jung H J. A new damage quantification approach for shear-wall buildings using ambient vibration data. Frontiers of Structural and Civil Engineering, 2015, 9(1): 17–25
Anitescu C, Atroshchenko E, Alajlan N, Rabczuk T. Artificial neural network methods for the solution of second order boundary value problems. Computers, Materials & Continua, 2019, 59(1): 345–359
Rabczuk T, Ren H, Zhuang X. A nonlocal operator method for partial differential equations with application to electromagnetic waveguide problem. Computers, Materials & Continua, 2019, 59(1): 31–55
Nanthakumar S S, Lahmer T, Zhuang X, Zi G, Rabczuk T. Detection of material interfaces using a regularized level set method in piezoelectric structures. Inverse Problems in Science and Engineering, 2016, 24(1): 153–176
Ahmadi H R, Anvari D. Health monitoring of pedestrian truss bridges using cone-shaped kernel distribution. Smart Structures and Systems, 2018, 22(6): 699–709
Wahalathantri B L. Damage assessment in reinforced concrete flexural members using modal strain energy based method. Dissertation for the Doctoral Degree. Brisbane: Queensland University of Technology, 2012
Cruz P J, Salgado R. Performance of vibration-based damage detection methods in bridges. Computer-Aided Civil and Infrastructure Engineering, 2009, 24(1): 62–79
Ahmadi H R, Daneshjoo F, Khaji N. New damage indices and algorithm based on square time-frequency distribution for damage detection in concrete piers of railroad bridges. Structural Control and Health Monitoring, 2015, 22(1): 91–106
Ghasemi H, Park H S, Rabczuk T. A level-set based IGA formulation for topology optimization of flexoelectric materials. Computer Methods in Applied Mechanics and Engineering, 2017, 313: 239–258
Gentile C, Saisi A. Continuous dynamic monitoring of a centenary iron bridge for structural modification assessment. Frontiers of Structural and Civil Engineering, 2015, 9(1): 26–41
Cornwell P, Doebling S W, Farrar C R. Application of the strain energy damage detection method to plate-like structures. Journal of Sound and Vibration, 1999, 224(2): 359–374
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