Proposal of modified (normalized) ASTM offset method for determination of fatigue crack opening load

Song, Jeongmin; Kang, Jy; Koo, Ja-Eung

doi:10.1016/j.ijfatigue.2004.06.014

Cited by 14 publications

(5 citation statements)

References 15 publications

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“…The performance indexes of the slurry injection slurry for water plugging and reinforcing the floor rock, excluding the cost of slurry injection, also need to consider the performance indexes of the slurry itself, including the slurry water separating proportion, viscosity, setting time, and the compressive strength of the grouting stone body [42].…”

Section: Slurry Performance Index Testmentioning

confidence: 99%

Experimental Study on Floor Damage and Slurry Material Ratio Optimization in Deep and High Confined Water Mining

et al. 2022

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Deep mining has started in the Huaibei mining area, and the serious threat of high confined water on the floor to the coal seam is gradually increasing. Based on the deep confined water mining project at working face II633 of the Hengyuan coal mine, this paper theoretically analyzes the damage depth of the floor and the risk of water inrush from the floor. The best proportion of grouting materials was quantitatively optimized by indoor experiments, and an industrial field test was conducted to judge the grouting effect. The results show that the failure depth of the bottom plate calculated by theoretical analysis is 31.73 m; a single factor test and a response surface optimization design method determined the best value of each index: water cement ratio 0.8, bentonite 2%, water reducer 0.6%, sodium silicate 2%. The damage depth of the bottom plate after grouting is 18.83~20 m, according to the field monitoring by the strain method. The optimized slurry significantly reduces the damage depth of the floor, ensures the safe and efficient mining of the coal seam above the high–pressure water, and has a high reference value for the safe mining of the coal seam under similar geological conditions.

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Section: Slurry Performance Index Testmentioning

confidence: 99%

Experimental Study on Floor Damage and Slurry Material Ratio Optimization in Deep and High Confined Water Mining

et al. 2022

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“…The high load ratio of many cycles is clear (Figure 2), thus adding to the difficulty for evaluating the opening load. 41 A ratio K max /K IC of 0.685 was observed during the 20-cycle sequence.…”

Section: Experimental Datamentioning

confidence: 90%

“…Figure shows the 20 cycles of the 25‐mm crack length record whose data are used to obtain crack opening loads in this study. The high load ratio of many cycles is clear (Figure ), thus adding to the difficulty for evaluating the opening load . A ratio K max / K IC of 0.685 was observed during the 20‐cycle sequence.…”

Section: Experimental Datamentioning

confidence: 99%

Estimation of the opening load under variable amplitude loading

Moreno

López-Crespo

Cruces

et al. 2019

Fatigue Fract Eng Mat Struct

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The crack opening/closure load concept is widely used to justify the fatigue crack growth behaviour with different load ratios and the load interaction effects. Many experimental techniques have been proposed to measure crack opening/closure load, and amongst them, compliance offset methods are widely used for their simplicity and consistency. In this paper, a modification of the ASTM method is proposed. The new method has a more general applicability as it can be applied to broadband variable amplitude loads. The method is described in detail and is applied on a 2024‐T351 aluminium alloy. The good correlation of the opening load estimated with the new method and the strip‐yield model implemented in Nasgro indicates that the new method could be used as an alternative for the cases where complex variable amplitude loads occur.

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“…, where K op is the SIF corresponding to the crack opening stress σ op , which is determined by the load associated with a 2% deviation in the slope of the load-displacement curve [40]. The crack closure phenomenon has a more significant impact at a low R-ratio.…”

Section: Elber's Modelmentioning

confidence: 99%

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

Zhou

Yang

Xiao

et al. 2023

Chin. J. Mech. Eng.

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Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering practice. Symbolic regression (SR) is an interpretable machine learning method for determining the optimal fitting equation for datasets. In this study, domain knowledge-guided SR was used to determine a new fatigue crack growth (FCG) rate model. Three terms of the variable subtree of ΔK, R-ratio, and ΔKth were obtained by analysing eight traditional semi-empirical FCG rate models. Based on the FCG rate test data from other literature, the SR model was constructed using Al-7055-T7511. It was subsequently extended to other alloys (Ti-10V-2Fe-3Al, Ti-6Al-4V, Cr-Mo-V, LC9cs, Al-6013-T651, and Al-2324-T3) using multiple linear regression. Compared with the three semi-empirical FCG rate models, the SR model yielded higher prediction accuracy. This result demonstrates the potential of domain knowledge-guided SR for building the FCG rate model.

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Proposal of modified (normalized) ASTM offset method for determination of fatigue crack opening load

Cited by 14 publications

References 15 publications

Experimental Study on Floor Damage and Slurry Material Ratio Optimization in Deep and High Confined Water Mining

Experimental Study on Floor Damage and Slurry Material Ratio Optimization in Deep and High Confined Water Mining

Estimation of the opening load under variable amplitude loading

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

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