Developing a full range S–N curve and estimating cumulative fatigue damage of steel elements

Bandara, C. S.; Siriwardane, Sudath C.; Dissanayake, U. I.; Dissanayake, Ranjith

doi:10.1016/j.commatsci.2014.09.009

Cited by 35 publications

(14 citation statements)

References 12 publications

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“…The applications of instrumented nanoindentation are not limited to the identification of conventional material properties, such as elastic modulus and hardness; the ease of performing this method has also attracted the attention of some authors who have employed it to estimate complex material properties like fatigue life or even the famous S-N (Wöhler) curve [ 12 , 13 , 14 ]. The determination of these quantities requires tedious and difficult conventional fatigue experiments; consequently, there are some analytical relationships available that allow the determination of the S-N curve and fatigue strength by using indentation hardness.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the Strzelecki model [ 12 ] has described the relationship between fatigue life and material hardness. Similarly, by utilizing the Murakami [ 13 ] formulation, Bandara [ 14 ] has presented full range S-N curves for six different medium steel grades. However, this suggested formulation is material-specific and requires two input parameters, i.e., Vickers hardness and ultimate tensile strength.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Bandara [ 15 ] has used the Brinell hardness value in order to determine material fatigue strength. The three [ 12 , 14 , 15 ] aforementioned analytical approaches (mainly dependent on the hardness value of the material) have been comprehensively summarized by Strzelecki and Tomaszewski in [ 16 ], where they have expounded the merits and demerits of each individual approach and concluded that both models are good for predicting tensile strength and yield strength, while the Strzelecki model [ 12 ] is superior in the prediction of fatigue life as compared to the Bandara model [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

et al. 2020

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The application of instrumented indentation to assess material properties like Young’s modulus and microhardness has become a standard method. In recent developments, indentation experiments and simulations have been combined to inverse methods, from which further material parameters such as yield strength, work hardening rate, and tensile strength can be determined. In this work, an inverse method is introduced by which material parameters for cyclic plasticity, i.e., kinematic hardening parameters, can be determined. To accomplish this, cyclic Vickers indentation experiments are combined with finite element simulations of the indentation with unknown material properties, which are then determined by inverse analysis. To validate the proposed method, these parameters are subsequently applied to predict the uniaxial stress–strain response of a material with success. The method has been validated successfully for a quenched and tempered martensitic steel and for technically pure copper, where an excellent agreement between measured and predicted cyclic stress–strain curves has been achieved. Hence, the proposed inverse method based on cyclic nanoindentation, as a quasi-nondestructive method, could complement or even substitute the resource-intensive conventional fatigue testing in the future for some applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The applications of instrumented nanoindentation are not limited to the identification of conventional material properties, such as elastic modulus and hardness; the ease to perform it, also have attracted the attention of some authors who have employed it to estimate the complex material properties like fatigue life or even the famous S-N (Wöhler) curve [12][13][14]. These quantities need tedious and difficult conventional fatigue experiments; consequently, there are some analytical relationships available to determine the S-N curve and fatigue strength using indentation hardness.…”

Section: Introductionmentioning

confidence: 99%

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

Sajjad

Hassan

Kuntz

et al. 2020

Preprint

View full text Add to dashboard Cite

The application of instrumented indentation to assess material properties like Young’s modulus and micro-hardness has become a standard method. In recent developments, indentation experiments and simulations have been combined to inverse methods, from which further material parameters as yield strength, work hardening rate, and tensile strength can be determined. In this work, an inverse method is introduced by which material parameters for cyclic plasticity, i.e. kinematic hardening parameters, can be determined. To accomplish this, cyclic Vickers indentation experiments are combined with finite element simulations of the indentation with unknown material properties, which are then determined by inverse analysis. To validate the proposed method, these parameters are subsequently applied to predict the uniaxial stress-strain response of a material with success. The method has been validated successfully for a quenched and tempered martensitic steel and for technically pure copper, where an excellent agreement between measured and predicted cyclic stress-strain-curves has been achieved. Hence, the proposed inverse method based on cyclic nanoindentation, as a quasi-non-destructive method, could complement or even substitute the resource-intensive conventional fatigue testing in the future for some applications.

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“…(3) is a partial S-N curve that can be used to develop S-N curves in the GCF region for steels. Combining these empirical formulae with the Palmgren function [16], the recently-proposed full range uniaxial R = −1 S-N curve for steels of σ u < 1,400 N/mm 2 [17] is given in Eq. (4) (this formula is called "the existing formula" in this paper): …”

Section: Empirical Formulae and Monotonic Test-based S-n Curvesmentioning

confidence: 99%

Hardness-Based Non-destructive Method for Developing Location Specific S-N Curves for Fatigue Life Evaluation

Bandara¹,

Siriwardane²,

Dissanayake³

et al. 2016

JCEA

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This paper first describes the importance of using location specific S-N curves for fatigue damage assessment of existing steel structures. It discusses the existing concepts and methods for developing S-N curves using empirical formulae and monotonic strength parameters, such as the ultimate tensile strength and hardness. It also discusses relationships among these monotonic parameters. Then it presents formulae for developing hardness-based full range S-N curves for medium strength steels. The formulae are verified using experimental data obtained from both monotonic and cyclic testing. Finally, it describes the advantages of these hardness-based formulae for developing location specific S-N curves as hardness testing is a non-destructive test which can be carried out on specific locations in structures.

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Developing a full range S–N curve and estimating cumulative fatigue damage of steel elements

Cited by 35 publications

References 12 publications

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

Inverse Method to Determine Fatigue Properties of Materials by Combining Cyclic Indentation and Numerical Simulation

Hardness-Based Non-destructive Method for Developing Location Specific S-N Curves for Fatigue Life Evaluation

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