2013
DOI: 10.1260/1369-4332.16.9.1621
|View full text |Cite
|
Sign up to set email alerts
|

Calculation of Dynamic Response Sensitivity to Substructural Damage Identification under Moving Load

Abstract: In traditional structural damage identification methods, it is usually time consuming to identify a large number of unknown parameters on a large-scale structure. This paper proposes a substructural method to identify the local damage of the large and complex systems. The structural damage, the external moving force and interface forces of adjacent substructures are identified simultaneously from the measured dynamic acceleration responses. The dynamic response sensitivities with respect to the structural para… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
15
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 30 publications
(17 citation statements)
references
References 20 publications
(15 reference statements)
0
15
0
Order By: Relevance
“…The drift is caused by acceleration's insensitivity to any quasi-static component in the input force [21,22]. Although some regularization methods or postsignal processing schemes can be adopted to deal with the drift in the identified results [33][34][35][36], they are not suitable for the real-time identification of coupled state/input/parameter. In [38], a method dealing with joint state and parameter identification was presented.…”
Section: Data Fusion Of Acceleration and Displacement In Egdfmentioning
confidence: 99%
See 1 more Smart Citation
“…The drift is caused by acceleration's insensitivity to any quasi-static component in the input force [21,22]. Although some regularization methods or postsignal processing schemes can be adopted to deal with the drift in the identified results [33][34][35][36], they are not suitable for the real-time identification of coupled state/input/parameter. In [38], a method dealing with joint state and parameter identification was presented.…”
Section: Data Fusion Of Acceleration and Displacement In Egdfmentioning
confidence: 99%
“…However, it has been demonstrated that the conventional GDF approach based on limited number of acceleration measurements is inherently unstable which leads to the so-called spurious low-frequency drift in the estimates of the force and the structural displacement [22]. Although some regularization methods or postsignal processing schemes can be adopted to deal with the drift in the identified results [33][34][35][36], they prohibit the real-time identification of coupled state/input/parameter.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of a damaged structure, the stiffness matrices after damage according to Equations (6) and (7), is commonly expressed, as follows: where is the stiffness matrices before damage, is the stiffness matrices after damage, and is the variation in the stiffness matrices after damage. Furthermore, the damping matrices are commonly considered constant with the damage that occurs, and the degradation of mass ( ) is regarded as zero [ 48 , 49 , 50 ].…”
Section: Damage Identification Theory Based On Acceleration Frequementioning
confidence: 99%
“…Various studies have demonstrated that the dynamic characteristics of bridges bearing cracks due to moving loads convey sufficient information about damage [14,16]. The dynamic characteristics used to portray damage may involve deflection [17,18,19,20,21,22,23], mode shape [24,25,26], acceleration [27,28,29], moving principal component analysis [30,31], energy ratio of the vibrational response [32], virtual distortion [33], dynamic response sensitivity [34], footprints of the dynamic amplification factor [35], differences in modal curvature [36], and strain sensing [37]. It is worth mentioning that Majumder and Manohar [38] presented a time domain approach for utilizing vibration data induced by a moving vehicle to assess damage in bridge structures based on the framework of finite element modeling.…”
Section: Introductionmentioning
confidence: 99%