Damage Detection in the Cable Structures of a Bridge Using the Virtual Distortion Method

[1]  Jinping Ou,et al.  Monitoring of structural prestress loss in RC beams by inner distributed Brillouin and fiber Bragg grating sensors on a single optical fiber , 2014 .

[2]  Ting-Hua Yi,et al.  Structural health monitoring of innovative civil engineering structures in Mainland China , 2016 .

[3]  Jinping Ou,et al.  Structural damage identification by adding virtual masses , 2013 .

[4]  Jan Holnicki-Szulc,et al.  The virtual distortion method—a versatile reanalysis tool for structures and systems , 2008 .

[5]  Alireza Rahai,et al.  Model Updating of a Concrete Beam with Extensive Distributed Damage Using Experimental Frequency Response Function , 2016 .

[6]  L. Gaillet,et al.  Detection of the Presence of Broken Wires in Cables by Acoustic Emission Inspection , 2012 .

[7]  Jan Holnicki-Szulc,et al.  Damage identification in skeletal structures using the virtual distortion method in frequency domain , 2008 .

[8]  H. R. Hamilton,et al.  Experimental and Numerical Evaluation of Unbonded Posttensioning Tendons Subjected to Wire Breaks , 2016 .

[9]  Ivan Bartoli,et al.  Novel optico-acoustic nondestructive testing for wire break detection in cables , 2013 .

[10]  Ming L. Wang,et al.  Field application of elasto-magnetic stress sensors for monitoring of cable tension force in cable-stayed bridges , 2013 .

[11]  Jian Xi Yang,et al.  Inspection and Assessment of Stay Cables in Cable Stayed Bridges , 2014 .

[12]  Nam-Sik Kim,et al.  Vision-based monitoring system for evaluating cable tensile forces on a cable-stayed bridge , 2013 .

[13]  Mitsuo Kawatani,et al.  Feasibility investigation for a bridge damage identification method through moving vehicle laboratory experiment , 2014 .

[14]  Ja Choon Koo,et al.  Inspection Robot for Hanger Cable of Suspension Bridge: Mechanism Design and Analysis , 2013, IEEE/ASME Transactions on Mechatronics.

[15]  Dongzhou Huang,et al.  Vehicle-Induced Vibration of Steel Deck Arch Bridges and Analytical Methodology , 2012 .

[16]  Yongchao Yang,et al.  Real-Time Output-Only Identification of Time-Varying Cable Tension from Accelerations via Complexity Pursuit , 2016 .

[17]  Gl Larose,et al.  Dynamic wind effects on suspension and cable-stayed bridges , 2015 .

[18]  Fengyu Xu,et al.  Inspection method of cable-stayed bridge using magnetic flux leakage detection: principle, sensor design, and signal processing , 2012 .

[19]  Qingxia Zhang,et al.  Simultaneous identification of excitation time histories and parametrized structural damages , 2012 .

[20]  Shun-ichi Nakamura,et al.  Experimental Study on Fatigue Strength of Corroded Bridge Wires , 2013 .

[21]  Li Sun,et al.  An active set quasi-Newton method with projected search for bound constrained minimization , 2009, Comput. Math. Appl..

[22]  Dyab Khazem,et al.  Experimental Analysis of a Nondestructive Corrosion Monitoring System for Main Cables of Suspension Bridges , 2013 .

[23]  Christoph Schaal,et al.  Structural health monitoring of cylindrical structures using guided ultrasonic waves , 2012 .