A Unified Potential Drop Calibration Function for Common Crack Growth Specimens

Tarnowski, Keith; Nikbin, Kamran; Dean, David; Davies, Catrin M.

doi:10.1007/s11340-018-0398-z

Cited by 13 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compact tension tests on cortical bone specimens in displacement control at different angle of anisotropy ζ as performed by Behiri and Bonfield [60] have been simulated using the proposed formulation. The mechanical and electrical conduction models have been then coupled, in the hypothesis of small deformations, [34] to study the effect of evolving discontinuities in cortical bone tissues effective conductive behavior using the potential drop crack length determination technique [67,68]. In Fig.…”

Section: Fracture and Damage Sensing In Conductive Materialsmentioning

confidence: 99%

A continuum-molecular model for anisotropic electrically conductive materials

Diana

Carvelli

2021

International Journal of Mechanical Sciences

View full text Add to dashboard Cite

Section: Fracture and Damage Sensing In Conductive Materialsmentioning

confidence: 99%

A continuum-molecular model for anisotropic electrically conductive materials

Diana

Carvelli

2021

International Journal of Mechanical Sciences

View full text Add to dashboard Cite

“…Numerical methods have been widely applied in order to establish calibration curves relating crack lengths to measure PDs for complex specimen geometries [2,3,5,40,42,55,56,102,105,108,109,111,122,139,[169][170][171][172][173] and determine the optimum configuration for measurement leads and probes [18,40,42,55,56,115,173].…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…As a result, if a component, is predicted to be serviceable for a life, it is not inconceivable that a 50% safety factor will be applied to this, in order to compensate for the uncertainty. The capability of accurate, in-situ, non-destructive determination of crack geometry is therefore an important challenge faced by engineers today and is the subject of significant ongoing research activity [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Hence these methods are suitable for optimising probe configurations in isolation [3,18], estimating effects on calibration caused by specimen and crack geometry and plastic deformation [2,3,5,56] and simply determining multiple calibration curves for specimens with different aspect ratios [5]. Numerical techniques are reported to be accurate and fast tools to derive calibration curves at relatively small cost compared with labour-intensive and time-consuming experimental methods [18,56]. It should be noted, however, that a great deal of work is necessary in order to obtain high confidence in numerical models before calibration curves can be generated [34].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Potential difference methods for measuring crack growth: A review

Rouse

Hyde

2020

International Journal of Fatigue

View full text Add to dashboard Cite

Non-destructive testing techniques are widely applied in industry for the evaluation of quantities of interest without inflicting additional damage accumulation. Crack detection and monitoring is a prime example of where non-destructive testing is valuable. Among the variety of non-destructive testing techniques, the direct current and alternating current potential difference methods, which are based on the principle that an electrical potential field around a conductive specimen is disturbed by the presence of geometric irregularities (or "features"), have received a great deal of attention in the literature. This is mainly due to the high levels of accuracy associated with these techniques and good estimations of crack initiation and propagation having been achieved.A critical review of the evolution and applications of potential difference methods is presented in this paper. Potential difference methods are capable of providing accurate and continuous measurements with simple installation and exclude the requirement of visual access under harsh service conditions. Alternating current potential difference methods require lower current input than direct current equivalents and hence provide higher sensitivity and offer better noise rejection but are vulnerable to capacitance effects and are more expensive. Calibration curves can be determined analytically, numerically, or by direct or analogue experimental techniques with each method offering strengths and limitations. Application of these should be determined in accordance with the specific scenario. The performance of electric probes (of voltage measurements and current injection) on topand side-face of C(T) and SEN(B) specimens are reviewed in detail as case examples. Specific guidance in normalising measurements and eliminating errors from thermoelectric effects can be implemented in order to improve the accuracy of PD methods. Abundant results have been obtained by applying PD methods in monitoring cracks geometries under aggressive conditions such as corrosion, high temperature, creep and cycled loading.

show abstract

“…As a side effect, the crack tip loadings as well as higher‐order terms are also determined by this method 15 . In contrast to classical crack length methods like direct current potential drop (DCPD) 16,17 or the compliance method, 18,19 image analysis techniques are able to detect cracks with various shapes 20,21 . However, a fully automatic detection of the crack path, and especially the crack tip, is often limited owing to experimental scattering or artifacts in the DIC dataset 22,23 .…”

Section: Introductionmentioning

confidence: 99%

Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks

Strohmann

Starostin‐Penner

Breitbarth

et al. 2021

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

The occurrence of fatigue cracks is an inherent part of the design of engineering structures subjected to nonconstant loads. Thus, the accurate description of cracks in terms of location and evolution during service conditions is mandatory to fulfill safety‐relevant criteria. In the present work, we implement a deep convolutional neural network to detect crack paths together with their crack tips based on displacement fields obtained using digital image correlation. To this purpose, fatigue crack propagation experiments were performed for AA2024‐T3 rolled sheets using specimens with different geometries. Several hundred datasets were acquired by digital image correlation during the experiments. A part of the displacement data from one of the specimens was then used to train the neural network. The results show that the method can accurately detect the shape and evolution of the cracks in all specimens. Adding synthetic data generated by finite element analyses to the training step improved the accuracy for cracks with stress intensity factors that exceeded the range of the original training data.

show abstract

A Unified Potential Drop Calibration Function for Common Crack Growth Specimens

Abstract: This is a repository copy of A unified potential drop calibration function for common crack growth specimens.

Cited by 13 publications

References 8 publications

A continuum-molecular model for anisotropic electrically conductive materials

A continuum-molecular model for anisotropic electrically conductive materials

Potential difference methods for measuring crack growth: A review

Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks

Contact Info

Product

Resources

About