A novel approach for damage quantification using the dynamic response of a metallic beam under thermo-mechanical loads

Zai, Behzad Ahmed; Khan, Muhammad Ahmed; Khan, Kamran A.; Mansoor, Asif

doi:10.1016/j.jsv.2019.115134

Cited by 21 publications

(31 citation statements)

References 33 publications

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“…This width initiated at the base of the given seeded crack and showed a more representative decrease in natural frequency due to real propagation. Theoretically, the amplitude should increase as the crack depth and temperature increase due to the reduction in the structural stiffness, as observed by the authors as shown in Figure 18 [31]. On the other hand, the amplitude discrepancy, illustrated in Figures 19 and 20, was observed for crack depth and temperature.…”

Section: Dynamic Responsementioning

confidence: 64%

“…The geometry of the model was imported from SolidWorks©. Behzad et al [31] re-arranged Equations (3)-(5), to have a comprehensive formula that can represent the crack depth and location with the material properties, as shown in Equation 7.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…The experimental amplitude of aluminum experiment at the crack location of 5 mm tested at elevated temperature[31].Polymers 2020, 12, x FOR PEER REVIEW 18 of 22…”

mentioning

confidence: 99%

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In-Situ Dynamic Response Measurement for Damage Quantification of 3D Printed ABS Cantilever Beam under Thermomechanical Load

Baqasah

Zai

et al. 2019

Polymers

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Acrylonitrile butadiene styrene (ABS) offers good mechanical properties and is effective in use to make polymeric structures for industrial applications. It is one of the most common raw material used for printing structures with fused deposition modeling (FDM). However, most of its properties and behavior are known under quasi-static loading conditions. These are suitable to design ABS structures for applications that are operated under static or dead loads. Still, comprehensive research is required to determine the properties and behavior of ABS structures under dynamic loads, especially in the presence of temperature more than the ambient. The presented research was an effort mainly to provide any evidence about the structural behavior and damage resistance of ABS material if operated under dynamic load conditions coupled with relatively high-temperature values. A non-prismatic fixed-free cantilever ABS beam was used in this study. The beam specimens were manufactured with a 3D printer based on FDM. A total of 190 specimens were tested with a combination of different temperatures, initial seeded damage or crack, and crack location values. The structural dynamic response, crack propagation, crack depth quantification, and their changes due to applied temperature were investigated by using analytical, numerical, and experimental approaches. In experiments, a combination of the modal exciter and heat mats was used to apply the dynamic loads on the beam structure with different temperature values. The response measurement and crack propagation behavior were monitored with the instrumentation, including a 200× microscope, accelerometer, and a laser vibrometer. The obtained findings could be used as an in-situ damage assessment tool to predict crack depth in an ABS beam as a function of dynamic response and applied temperature.

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Section: Dynamic Responsementioning

confidence: 64%

Section: Numerical Simulationmentioning

confidence: 99%

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In-Situ Dynamic Response Measurement for Damage Quantification of 3D Printed ABS Cantilever Beam under Thermomechanical Load

Baqasah

Zai

et al. 2019

Polymers

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“…Whilst this entire subject has been researched extensively, the challenge of synthesizing a stiff material with intrinsic self-healing capabilities remains a significant challenge. The fundamentals of damage mechanics are based on energy release during crack initiation and propagation [ 110 , 111 , 112 , 113 ]. The main actuation of the proposed self-healing capsules is based on strain energy release within the sub-surface.…”

Section: Potential Impacts Of Smart Self-healing 3d Printed Structmentioning

confidence: 99%

Self-Healing Mechanisms for 3D-Printed Polymeric Structures: From Lab to Reality

et al. 2020

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Existing self-healing mechanisms are still very far from full-scale implementation, and most published work has only demonstrated damage cure at the laboratory level. Their rheological nature makes the mechanisms for damage cure difficult to implement, as the component or structure is expected to continue performing its function. In most cases, a molecular bond level chemical reaction is required for complete healing with external stimulations such as heating, light and temperature change. Such requirements of external stimulations and reactions make the existing self-healing mechanism almost impossible to implement in 3D printed products, particularly in critical applications. In this paper, a conceptual description of the self-healing phenomenon in polymeric structures is provided. This is followed by how the concept of self-healing is motivated by the observation of nature. Next, the requirements of self-healing in modern polymeric structures and components are described. The existing self-healing mechanisms for 3D printed polymeric structures are also detailed, with a special emphasis on their working principles and advantages of the self-healing mechanism. A critical discussion on the challenges and limitations in the existing working principles is provided at the end. A novel self-healing idea is also proposed. Its ability to address current challenges is assessed in the conclusions.

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“…A variety of non-destructive techniques are used in the industry to inspect structural assets for damage detection and remedial action. A great deal of encouraging research is also taking place around using simple vibration tests and measurements of structural dynamic properties to infer the correct location and severity of damage in engineering structures [5][6][7][8][9][10][11][12][13][14][15][16]. The dynamic response of a structure can be used to measure the elastic properties of the constituent material [17].…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation

Fleet

Kamei

et al. 2020

Sensors

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Accurate damage detection in engineering structures is a critical part of structural health monitoring. A variety of non-destructive inspection methods has been employed to detect the presence and severity of the damage. In this research, machine learning (ML) algorithms are used to assess the dynamic response of the system. It can predict the damage severity, damage location, and fundamental behaviour of the system. Fatigue damage data of aluminium and ABS under coupled mechanical loads at different temperatures are used to train the model. The model shows that natural frequency and temperature appear to be the most important predictive features for aluminium. It appears to be dominated by natural frequency and tip amplitude for ABS. The results also show that the position of the crack along the specimen appears to be of little importance for either material, allowing simultaneous prediction of location and damage severity.

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A novel approach for damage quantification using the dynamic response of a metallic beam under thermo-mechanical loads

Cited by 21 publications

References 33 publications

In-Situ Dynamic Response Measurement for Damage Quantification of 3D Printed ABS Cantilever Beam under Thermomechanical Load

In-Situ Dynamic Response Measurement for Damage Quantification of 3D Printed ABS Cantilever Beam under Thermomechanical Load

Self-Healing Mechanisms for 3D-Printed Polymeric Structures: From Lab to Reality

A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation

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