scholarly journals Optimal Sensor Placement in Reduced-Order Models Using Modal Constraint Conditions

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 589
Author(s):  
Eun-Taik Lee ◽  
Hee-Chang Eun
Keyword(s):  
Structural Damage ◽  
Detection System ◽  
Sensor Placement ◽  
Reduced Order Models ◽  
Structural Damage Detection ◽  
Constraint Condition ◽  
Civil Structures ◽  
Optimal Sensor Placement ◽  
Reduced Order ◽  
System Order

Sensor measurements of civil structures provide basic information on their performance. However, it is impossible to install sensors at every location owing to the limited number of sensors available. Therefore, in this study, we propose an optimal sensor placement (OSP) algorithm while reducing the system order by using the constraint condition between the master and slave modes from the target modes. The existing OSP methods are modified in this study, and an OSP approach using a constrained dynamic equation is presented. The validity and comparison of the proposed methods are illustrated by utilizing a numerical example that predicts the OSPs of the truss structure. It is observed that the proposed methods lead to different sensor layouts depending on the algorithm criteria. Thus, it can be concluded that the OSP algorithm meets the measurement requirements for various methods, such as structural damage detection, system identification, and vibration control.

Optimal Sensor Placement Algorithm for Structural Damage Identification

2020 ◽  
Vol 14 (1) ◽  
pp. 69-81
Author(s):  
C.H. Li ◽  
Q.W. Yang
Keyword(s):  
Structural Damage ◽  
Damage Identification ◽  
Sensor Placement ◽  
Optimization Procedure ◽  
Frame Structure ◽  
Truss Structures ◽  
Optimal Sensor Placement ◽  
Structural Damage Identification ◽  
Placement Algorithm ◽  
Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

Near-optimal sensor placement for health monitoring of civil structures

2010 ◽  
Author(s):  
Gwendolyn W. van der Linden ◽  
Abbas Emami-Naeini ◽  
Robert L. Kosut ◽  
Hassan Sederat ◽  
Jerome P. Lynch
Keyword(s):  
Health Monitoring ◽  
Sensor Placement ◽  
Civil Structures ◽  
Optimal Sensor Placement

Experimental investigation on multi-objective multi-type sensor optimal placement for structural damage detection

2018 ◽  
Vol 18 (3) ◽  
pp. 882-901 ◽  
Author(s):  
Jian-Fu Lin ◽  
You-Lin Xu ◽  
Sheng Zhan
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Structural Damage ◽  
Sensor Placement ◽  
Element Model ◽  
Frame Structure ◽  
Optimal Placement ◽  
Optimal Sensor Placement ◽  
Damage Scenarios ◽  
The Finite Element Model

An optimal sensor placement with multiple types of sensors could provide informative data of a structure to facilitate its structural damage detection. A response covariance-based multi-objective multi-type sensor optimal placement method has been thus developed. To validate this method, an experimental investigation was designed and performed in terms of a nine-bay three-dimensional frame structure, and the experimental details and results are presented in this article. The frame structure was first built, and a finite element model of the frame structure was constructed and updated. The proposed method was then applied to the finite element model to find the optimal sensor placement configuration. The multi-type sensors were then installed on the frame structure according to the determined optimal sensor numbers and positions. Different damage scenarios were then generated on the frame structure. These damage scenarios covered single and multiple damage cases occurring at different locations with different damage severities. A series of experiments, including the optimal and non-optimal sensor placements, were finally carried out, and the measurement data were used together with the finite element model to identify damage quantitatively. The identification results show that the optimal multi-type sensor placement determined by the proposed method could provide accurate damage localization and satisfactory damage quantitation and that the optimal sensor placement yielded better damage identification than the non-optimal sensor placement.

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