Mass normalized mode shape identification of bridge structures using a single actuator-sensor pair

2018 ◽  
Vol 25 (11) ◽  
pp. e2244 ◽  
Author(s):  
Rajdip Nayek ◽  
Suparno Mukhopadhyay ◽  
Sriram Narasimhan
Keyword(s):  
Mode Shape ◽  
Shape Identification ◽  
Bridge Structures

scholarly journals Mass-Stiffness Combined Perturbation Method for Mode Shape Monitoring of Bridge Structures

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Liye Zhang ◽  
Ye Xia ◽  
Jose A. Lozano-Galant ◽  
Limin Sun
Keyword(s):  
Mode Shape ◽  
Experimental Tests ◽  
Mode Shapes ◽  
Shape Identification ◽  
Similar Frequency ◽  
Damage Scenarios ◽  
Perturbation Mode ◽  
Bridge Structures ◽  
Traditional Mode ◽  
The Relationship

Identification of the mode shapes through monitoring is one of the key problems in damage diagnosis based on modal parameters especially for damaged structures. In order to obtain mode shapes of damaged structures easily and accurately, the mass-stiffness combined perturbation (MSCP) method is proposed in this paper. To do so, the relationship between the stiffness perturbation mode shapes of damaged and intact structures is firstly derived and established. Then, the principle of similar frequency is applied to optimize the objective function of the most suitable mass perturbation model. Both numerical analyses and experimental tests on simple and complex structures demonstrate that the proposed MSCP method achieves higher precision than traditional mode shape identification methods. The additional advantages of the MSCP method include (i) lower requirement on the frequency analysis of only damaged structures and (ii) higher effectiveness for minor damage scenarios. In fact, the lower the damage, the higher the precision achieved by the MSCP method. As illustrated in the paper, the proposed technique has excellent applications in mode shapes identification and structural health monitoring.

Mode shape identification and orthogonalization

AIAA Journal ◽  
1990 ◽  
Vol 28 (4) ◽  
pp. 711-716 ◽  
Author(s):  
Alvar M. Kabe
Keyword(s):  
Mode Shape ◽  
Shape Identification
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