Structural damage detection of space truss structures using best achievable eigenvectors

AIAA Journal ◽  
1994 ◽  
Vol 32 (5) ◽  
pp. 1049-1057 ◽  
Author(s):  
Tae W. Lim ◽  
Thomas A. L. Kashangaki
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Truss Structures ◽  
Structural Damage Detection ◽  
Space Truss

scholarly journals Disassembling-Based Structural Damage Detection Using Static Measurement Data

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Eun-Taik Lee ◽  
Hee-Chang Eun
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Degrees Of Freedom ◽  
Measurement Data ◽  
Truss Structures ◽  
Detection Methods ◽  
Internal Stresses ◽  
Structural Damage Detection ◽  
Constraint Forces ◽  
Entire Structure

Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. The former utilizes measurement data at all degrees of freedom (DOFs) for structural damage detection, while the latter utilizes data of members and substructures at a few DOFs. This paper presents a local method to detect damages by disassembling an entire structure into members. The constraint forces acting at the measured DOFs of the disassembled elements at the damaged state, and their internal stresses, are predicted. The proposed method detects locally damaged members of the entire structure by comparing the stress variations before and after damage. The static local damage can be explicitly detected when it is positioned along the constraint load paths. The validity of the proposed method is illustrated through the damage detection of two truss structures, and the disassembling (i.e., local) and global approaches are compared using numerical examples. The numerical applications consider the noise effect and single and multiple damage cases, including vertical, diagonal, and chord members of truss structures.

Structural Damage Detection Accounting for Loss of Data in Wireless Network Sensors

2009 ◽  
Vol 413-414 ◽  
pp. 125-132 ◽  
Author(s):  
Ser Tong Quek ◽  
Viet Anh Tran ◽  
Xiao Yan Hou
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Wireless Sensors ◽  
Detection Method ◽  
Truss Structures ◽  
Monitoring Systems ◽  
Structural Damage Detection ◽  
Cumulative Energy ◽  
Health Monitoring Systems ◽  
Identification Parameter

For detection of damage in frame and truss structures, the normalized cumulative energy is proposed as the identification parameter within the framework of the damage locating vector (DLV) method. Due to the limited number of sensors used, it is necessary to filter out the actual damaged elements from the identified set of potential damaged elements. An intersection scheme using only the measured signals is proposed for the filtering and verified using a warehouse frame comprising truss, beam and column elements. As wireless sensors are introduced into structural health monitoring systems, loss of data during transmission is one significant issue which needs to be addressed. An algorithm to patch the loss data is proposed and when integrated with the proposed damage detection method is experimentally shown to be feasible using a cantilever truss.

An intelligent structural damage detection approach based on self-powered wireless sensor data

2016 ◽  
Vol 62 ◽  
pp. 24-44 ◽  
Author(s):  
Amir H. Alavi ◽  
Hassene Hasni ◽  
Nizar Lajnef ◽  
Karim Chatti ◽  
Fred Faridazar
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Self Powered
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