Deep learning method for predicting the strengths of microcracked brittle materials

Xu, Bowen; Sang, Ye; Li, Min; Zhao, Hongping; Feng, Xi‐Qiao

doi:10.1016/j.engfracmech.2022.108600

Cited by 21 publications

(4 citation statements)

References 42 publications

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“…For instance, if the distance between two equal cracks is less than the strength of the cracks, b/a there is a strong interaction between them. Secondly, the cracks exhibit a weak interaction when the distance between two parallel fractures exceeds the primary crack length which agrees with Kachanov's theory of interaction [29]- [31].…”

Section: Numerical Results and Discussionsupporting

confidence: 82%

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Md Zain

2022

JMechE

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Improving the mechanical integrity of the dental implantation through optimal stress distribution between the implant and the surrounding bone has reduced the risk of bone injury and implant loosening risk. Inversely, the clinical failure of implantation will result in the formation of microcracks in the alveolar bone. The uncertainty of stress interaction intensity between microcracks has been an unsolved issue regarding the load transfer between the implant and alveolar bone. This study investigates the magnitude of stress shielding and stress amplification to explain the behaviour of double edge (DE) microcracks that are identically formed due to various stability conditions of implantation under occlusal loading. A series of finite element modelling have been conducted to simulate the stress shielding and stress amplification behaviour based on the displacement extrapolation method (DEM) and contour integral analysis. The occlusal loading schemes are translated into Mode I, Mode II and Mixed-mode loading. The presented DE models have demonstrated the transition behaviour of DE parallel microcracks into a single edge (SE) crack basic behaviour, where the crack unification limit (CUL) and crack interaction limit (CIL) are identified at lower and a higher rates of a/W. The occlusal loading has shown significant influence on the intensity of stress shielding and stress amplification behaviour in a form of DE-SE microcracks interaction for Mode I and Mixed-mode occlusal loading.

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Section: Numerical Results and Discussionsupporting

confidence: 82%

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Md Zain

2022

JMechE

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“…Moreover, by employing a similar PINNs framework, other material properties like modulus distribution can also be inferred [46]. To predict material strength in solids with microcracks, Xu et al [149] trained an ML framework that maps the crack distribution morphology to the strength calculated from micromechanics theory. This framework can effectively predict the strength of solids with randomly distributed microcracks.…”

Section: For Fracture Mechanicsmentioning

confidence: 99%

Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review

Jin¹,

Zhang²,

Espinosa³

2023

Preprint

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For many decades, experimental solid mechanics has played a crucial role in characterizing and understanding the mechanical properties of natural and novel materials. Recent advances in machine learning (ML) provide new opportunities for the field, including experimental design, data analysis, uncertainty quantification, and inverse problems. As the number of papers published in recent years in this emerging field is exploding, it is timely to conduct a comprehensive and up-to-date review of recent ML applications in experimental solid mechanics. Here, we first provide an overview of common ML algorithms and terminologies that are pertinent to this review, with emphasis placed on physics-informed and physics-based ML methods. Then, we provide thorough coverage of recent ML applications in traditional and emerging areas of experimental mechanics, including fracture mechanics, biomechanics, nano-and micro-mechanics, architected materials, and 2D material. Finally, we highlight some current challenges of applying ML to multi-modality and multi-fidelity experimental datasets and propose several future research directions. This review aims to provide valuable insights into the use of ML methods as well as a variety of examples for researchers in solid mechanics to integrate into their experiments.

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“…Ti 2 AlNb based alloys have attracted widespread attention for application in aircraft engines and automotive components [1] because of the excellent properties of low density, creep resistance and fracture toughness [2][3][4]. And Ti 2 AlNb alloys are popular for demanding applications [5] due to the excellent strength-weight ratios of it.…”

Section: Introductionmentioning

confidence: 99%

High temperature oxidation behaviors of Al/Cr composite coating on Ti₂AlNb alloy

Yang,

Liang,

et al. 2024

Mater. Res. Express

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The Al/Cr coatings were deposited on Ti2AlNb alloy by magnetron sputtering and double glow plasma alloying technology to improve the oxidation resistance. The morphology of the protective coating was investigated by scanning electron microcopy and the phase composition of the coating was analyzed using X-ray diffraction. The results suggested that the protective coating with multilayer structure was dense and homogeneous. The formation of Cr inner diffusion layer was beneficial to the bonding strength between the coating and substrate, which was attributable to the double glow technology. The oxidation behaviors of Al/Cr coating were investigated by the isothermal oxidation tests for 100 h at 700°C, 800°C and 900°C, respectively. The results indicated that the protective coating showed a lower oxidation rate. At 700°C, the Al2O3 oxidation products were formed on the surface of coating at high temperature, which were dense and homogeneous against oxygen diffusion. With the increase of oxidation temperature, the external diffusion of Cr element reacted with oxygen to form Cr2O3, which provided the further protection. As for 900°C, the volatile CrO3 was formed by the reaction of the external diffusion of Cr and Cr2O3, and the oxidation products Al2O3 and Cr2O3 continued to provide protection for Ti2AlNb alloy.

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Deep learning method for predicting the strengths of microcracked brittle materials

Cited by 21 publications

References 42 publications

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review

High temperature oxidation behaviors of Al/Cr composite coating on Ti₂AlNb alloy

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Deep learning method for predicting the strengths of microcracked brittle materials

Cited by 21 publications

References 42 publications

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Stress Interaction Behaviour in Alveolar Cortical Bone Fracture

Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review

High temperature oxidation behaviors of Al/Cr composite coating on Ti2AlNb alloy

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Product

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High temperature oxidation behaviors of Al/Cr composite coating on Ti₂AlNb alloy