Damage Detection and Damage Mechanisms Analyses in CFRP Laminate Bolted Joints

1989 ◽  
pp. 591-601
Author(s):  
Liu Da ◽  
Liu Yi-Bing ◽  
Ying Bing-Zhang
Keyword(s):  
Damage Detection ◽  
Bolted Joints ◽  
Damage Mechanisms ◽  
Cfrp Laminate

Polynomial Interpolated Taylor Series Method for Parameter Identification of Nonlinear Dynamic System

2006 ◽  
Vol 1 (3) ◽  
pp. 248-256 ◽  
Author(s):  
Simon C. Wong ◽  
Alan A. Barhorst
Keyword(s):  
Structural Health Monitoring ◽  
Parameter Identification ◽  
Dynamic System ◽  
Damage Detection ◽  
Taylor Series ◽  
Health Monitoring ◽  
Structural Damage ◽  
Bolted Joints ◽  
Response Dynamics ◽  
Structural Health

This research work is in the area of structural health monitoring and structural damage mitigation. It addresses and advances the technique in parameter identification of structures with significant nonlinear response dynamics. The method integrates a nonlinear hybrid parameter multibody dynamic system (HPMBS) modeling technique with a parameter identification scheme based on a polynomial interpolated Taylor series methodology. This work advances the model based structural health monitoring technique, by providing a tool to accurately estimate damaged structure parameters through significant nonlinear damage. The significant nonlinear damage implied includes effects from loose bolted joints, dry frictional damping, large articulated motions, etc. Note that currently most damage detection algorithms in structures are based on finding changed stiffness parameters and generally do not address other parameters such as mass, length, damping, and joint gaps. This work is the extension of damage detection practice from linear structure to nonlinear structures in civil and aerospace applications. To experimentally validate the developed methodology, we have built a nonlinear HPMBS structure. This structure is used as a test bed to fine-tune the modeling and parameter identification algorithms. It can be used to simulate bolted joints in aircraft wings, expansion joints of bridges, or the interlocking structures in a space frame also. The developed technique has the ability to identify unique damages, such as systematic isolated and noise-induced damage in group members and isolated elements. Using this approach, not just the damage parameters, such as Young’s modulus, are identified, but other structural parameters, such as distributed mass, damping, and friction coefficients, can also be identified.

Impact damage detection system using small-diameter optical fiber sensors wavily embedded in CFRP laminate structures

2003 ◽  
Author(s):  
Hiroaki Tsutsui ◽  
Akio Kawamata ◽  
Junichi Kimoto ◽  
Akira Isoe ◽  
Yasuo Hirose ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Damage Detection ◽  
Detection System ◽  
Impact Damage ◽  
Small Diameter ◽  
Optical Fiber Sensors ◽  
Fiber Sensors ◽  
Cfrp Laminate

Detection of Damage in Space Frame Structures With L-Shaped Beams and Bolted Joints Using Changes in Natural Frequencies

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
W. D. Zhu ◽  
K. He
Keyword(s):  
Damage Detection ◽  
Natural Frequencies ◽  
Detection Algorithm ◽  
Measurement Noise ◽  
Bolted Joints ◽  
Frame Structure ◽  
Modeling Error ◽  
Space Frame ◽  
Extent Of Damage ◽  
Space Frame Structure

It is difficult to use conventional nondestructive testing methods to detect damage, such as loosening of bolted connections, in a space frame structure due to the complexity of the structure and the nature of the possible damage. A vibration-based method that uses changes in the natural frequencies of a structure to detect the locations and extent of damage in it has the advantage of being able to detect various types of damage in the structure, including loosening of bolted connections. Since the vibration-based method is model-based, applying it to a space frame structure with L-shaped beams and bolted joints will face challenges ranging from the development of an accurate dynamic model of the structure to that of a robust damage detection algorithm for a severely underdetermined, nonlinear least-square problem under the effects of relatively large modeling error and measurement noise. With the development of modeling techniques for fillets in thin-walled beams (He and Zhu, 2009, “Modeling of Fillets in Thin-Walled Beams Using Shell/Plate and Beam Finite Elements,” ASME J. Vib. Acoust., 131 (5), p. 051002) and bolted joints (He and Zhu, 2011, “Finite Element Modeling of Structures With L-shaped Beams and Bolted Joints,” ASME J. Vib. Acoust., 131(1), p. 011010) by the authors, accurate physics-based models of space frame structures can be developed with a reasonable model size. A new damage detection algorithm that uses a trust-region search strategy combined with a logistic function transformation is developed to improve the robustness of the vibration-based damage detection method. The new algorithm can ensure global convergence of the iterations and minimize the effects of modeling error and measurement noise. The damage detection method developed is experimentally validated on an aluminum three-bay space frame structure with L-shaped beams and bolted joints. Three types of introduced damage, including joint damage, member damage, and boundary damage, were successfully detected. In the numerical simulation where there are no modeling error and measurement noise, the almost exact locations and extent of damage can be detected.

scholarly journals Numerical Analysis for Damage Detection in CFRP Bolted Joints Using Strain Measurement

2012 ◽  
Vol 38 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Takeaki NADABE ◽  
Masaaki NISHIKAWA ◽  
Shu MINAKUCHI ◽  
Tatsuya NAKAMURA ◽  
Juho T. SIIVOLA ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Damage Detection ◽  
Strain Measurement ◽  
Bolted Joints

scholarly journals Temperature Effects on Damage Mechanisms of Hybrid Metal – Composite Bolted Joints Using SHM Testing Method

2019 ◽  
Vol 11 (1) ◽  
pp. 61-67
Author(s):  
Calin-Dumitru COMAN ◽  
Ion DIMA ◽  
Stefan HOTHAZIE ◽  
George PELIN ◽  
Tiberiu SALAORU
Keyword(s):  
Temperature Effects ◽  
Failure Modes ◽  
Damage Mechanism ◽  
Failure Criteria ◽  
Bolted Joints ◽  
Fracture Mechanisms ◽  
Progressive Damage ◽  
Metal Composite ◽  
3D Fem ◽  
Damage Mechanisms

This paper presents the quasi-static thermo-mechanical loading effects on the progressive damage mechanisms and failure modes of the single-bolt, single-shear, hybrid metal-composite, bolted joints in aerospace applications. A three-dimensional finite element method (FEM) technique was used to model the countersunk head bolted joint in details, including geometric and frictional based contact full nonlinearities and using commercial software PATRAN as pre/post-processor. The progressive damage analysis (PDA) in laminated (CFRP/ vinyl ester epoxy) composite material including nonlinear shear behavior, Hashin-type failure criteria and strain-based continuous degradation rules for different values of temperatures was made using SOL 400 NASTRAN solver. In order to validate the numerical results and close investigation of the fracture mechanisms for metal-composite bolted joints by determining ultimate failure loads, experiments were conducted in temperature controlled chamber using SHM (Structural Health Monitoring) technique. The results show that the thermal effects are not negligible on failure mechanism in hybrid aluminum-CFRP bolted joints having strong different thermal expansion coefficients. The complex 3D FEM model using advanced linear continuum solid-shell elements proved computational efficiency and ability to accurately predict the various failure modes as bearing and shear-shear out, including the temperature effects on the failure propagation and damage mechanism of hybrid metal-composite bolted joints.

IDENTIFICATION OF DAMAGE FOR A THIN PLATE JOINTED STRUCTURE

2015 ◽  
Vol 76 (8) ◽  
Author(s):  
M. A. Yunus ◽  
M. N. Abdul Rani ◽  
A. A. M Isa ◽  
W. M. W. Sulaiman ◽  
R. Hassan
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Damage Detection ◽  
Dynamic Characteristic ◽  
Model Updating ◽  
Element Model ◽  
Bolted Joints ◽  
Mode Shapes ◽  
Metal Sheets ◽  
Body In White

The dynamic characteristics of automotive structures are largely influenced by joints. The complex structures such as car a body-in-white is made from thin metal sheets and joined together by several types of joints such as spot welds and bolted joints. The integrity and dynamic characteristic of the structure are highly dependent on these joints. The defective and inaccurate tightening of the bolts during the assembly process could degrade the integrity of the structure and alter the dynamic characteristic of the vehicles. Early detection of the presence of damage in the structure is very important so that necessary actions can be taken to prevent further problems to the structure. In this paper, the damage detection via vibration based damage detection is used to identify the presence of damage in a bolted joints structure. In order to check the validity of the proposed method, natural frequencies and mode shapes of the initial finite element model of the undamaged structure and the finite element model of the damaged structure are compared with the experimental counterparts. The model updating method is used to improve the initial finite element model of the undamaged structure and the damaged structure as close as possible to the measured data.

Parameter Identification of Nonlinear Hybrid Parameter Multibody Dynamic System With Contacts Using a Polynomial Interpolated Taylor Series Method

2005 ◽  
Author(s):  
Simon C. Wong ◽  
Alan A. Barhorst
Keyword(s):  
Structural Health Monitoring ◽  
Parameter Identification ◽  
Dynamic System ◽  
Damage Detection ◽  
Taylor Series ◽  
Health Monitoring ◽  
Bolted Joints ◽  
Response Dynamics ◽  
Structural Health ◽  
Nonlinear Hybrid

This research work is in the area of structural health monitoring and structural damage mitigation. It advances the method of parameter identification of structures with significant nonlinear response dynamics. The method integrates a nonlinear hybrid parameter multi-body dynamic system (HPMBS) modeling technique with a parameter identification scheme based on a polynomial interpolated Taylor series (PITS) methodology. This work advances the model based structural health monitoring state-of-the-art, by providing a tool to accurately estimate damaged structure parameters through significant nonlinear damage. The significant nonlinear damage implied includes effects from loose bolted joints, dry frictional damping, large articulated motions, etc. Note that currently most damage detection algorithms in structures are based on finding changed stiffness parameters and generally do not address other parameters such as mass, length, damping and joint gaps. The scope of work is the extension of damage detection practice from linear structure to nonlinear structures in civil and aerospace applications. To experimentally validate the developed methodology, we have built a nonlinear HPMBS structure. This structure is used as a test-bed to fine-tune the modeling and parameter identification algorithms. Also, it can be used to simulate bolted joints in aircraft wings, expansion joints of bridges, or the interlocking structures in a space frame. The developed technique has the ability to identify unique damage, such as systematic isolated and noise induced damage that exists in group members and isolated elements. Here, not just the damage parameters such as Young’s modulus are identified, but other structural parameters, such as distributed mass, damping and friction coefficients, can also be identified.

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