Laboratory-scale mixed-mode I/II fracture tests on columnar saline ice

Wei, Mingdong; Dai, Feng

doi:10.1016/j.tafmec.2021.102982

Cited by 17 publications

(5 citation statements)

References 53 publications

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“…In fact, other materials may also exhibit strengthening effects under cyclic loading. Wei et al [51][52][53] conducted a series of saline ice cyclic loading tests and analyze the evolution of strain energy and fracture mechanism. They discussed the crystal dislocation and fracture of ice under cyclic loading, which has important implications for studying the fracture mechanism of rocks.…”

Section: Micro Failure Mechanism Of the Strengthening Effectmentioning

confidence: 99%

Strengthening effect of cyclic load on siltstone and its macro–micro fracture mechanism

Pengjin,

Shengjun,

Hui

et al. 2024

Fatigue Fract Eng Mat Struct

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The purpose of this research is to study the strengthening effect of cyclic load on the weakly cemented rock and reveal its microscopic mechanism. In this study, a series of cyclic‐to‐monotonic loading tests with different cycle numbers were conducted on siltstone. Results show that the strengthening and weakening effects of siltstone under cyclic loading depend on the upper limit of cyclic load. The microfracture mode that was changed by cyclic load is the essential reason for the strengthening effect, according to the study of acoustic emission b‐value, sources, and microscopic fracture morphology. Under the cyclic load test, the skeleton area of siltstone can bear the axial load increased. However, the burst of acoustic emission signals is delayed, and the crack scale is small due to the strengthening effect. The difficulty of geotechnical engineering disaster prediction and prevention has increased significantly, and attention should be paid to similar geotechnical engineering.

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Section: Micro Failure Mechanism Of the Strengthening Effectmentioning

confidence: 99%

Strengthening effect of cyclic load on siltstone and its macro–micro fracture mechanism

Pengjin,

Shengjun,

Hui

et al. 2024

Fatigue Fract Eng Mat Struct

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“…Numerous testing methods and specimens, such as incline edge crack asymmetric bending [ 3 ], compact tension shear [ 6 ], asymmetric four-point bending [ 22 ], semi-circular bending [ 23 ], Brazilian disc specimen [ 24 ], etc., are used to study mixed-mode I/II fracture toughness. In this study, the mixed-mode I/II of PMMA was studied using the inclined crack bending specimen based on previous research by Mingdong Wei [ 25 ] and M.R.M. Aliha [ 26 ].…”

Section: Mixed-mode I/ii Fracture Toughnessmentioning

confidence: 99%

“…The GMTS criteria is a criterion based on the stress intensity factor (

) with added the T-stress term into the original MTS criteria. For the GMTS fracture criteria aimed at studying the tangential stresses at the crack tip (

), these stresses can be written according to the Equation (5) [ 25 ]

where

is the distance to the crack tip in polar coordinates,

is initial crack growth angle measured from the initial crack direction,

is a non-singular term or knows as T-Stress, and

. is the high order term in the stress solution.…”

Section: Mixed-mode I/ii Fracture Toughness Predictionmentioning

confidence: 99%

Improvement of Mixed-Mode I/II Fracture Toughness Modeling Prediction Performance by Using a Multi-Fidelity Surrogate Model Based on Fracture Criteria

et al. 2022

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Today, artificial intelligence plays a huge role in the mechanical engineering field for solving many complex problems and the problem with fracture mechanics is one of them. In fracture mechanics, artificial intelligence is used to predict crack behavior under various conditions such as mixed-mode loading. Many parameters are used for explaining the crack behavior under various conditions, but those parameters are obtained from destructive testing, in which usually, only one data point is obtained from each test. An artificial problem method requires a large amount of data to train the model to be able to learn crack behavior, which is a disadvantage of applying this method to fracture mechanics. To eliminate the disadvantage of the large amount of experiment data required for modeling, in this study, the small data obtained from the experiment along with data obtained from fracture criteria that were used for elementary prediction of mixed mode fracture toughness were used to create an artificial intelligence model. Data from the experiment was combined with fracture criteria data using the multi-fidelity surrogate model that is described in this study. The mixed mode I/II fracture toughness of the PMMA material was tested in order to primarily propose the data combination technique. After the modeling process, the prediction results indicated that the performance of a model in which the actual test data was combined with the data from the fracture criteria (multi-fidelity surrogate model) was more predictively effective compared to only actual data-based modeling.

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“…The ice cubes were shipped to Dalian after being packed at the site in the evening to ensure that they would not melt during transportation. These ice cubes were placed in cold storage near Dalian University of Technology at −10 • C. It is important to note that after the floating ice is harvested from the cold water and stored at a specific temperature and tested in a laboratory, its mechanical properties become different from those of the in situ floating ice, which is relatively warm and has a naturally occurring temperature gradient [40,41]. The ice sample was cut, and the end face was polished, ensuring that the end face sides were perpendicular.…”

Section: Selection Of Ice Materialsmentioning

confidence: 99%

Comprehensive Fracture Model of Reservoir Ice Layers in the Northeastern Cold Region of China

Liu

Li²,

Zhang³

et al. 2022

Sustainability

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Meteorological and hydrological changes have an important influence on the ice formation mechanism and the detailed structure of ice materials in cold reservoirs, and directly determine the mechanical properties of ice materials. Based on long-term meteorological and hydrological monitoring data, and detailed structural evolution analysis of ice materials, combined with fracture mechanics and energy methods, a comprehensive fracture model of ice materials in cold regions is established. At the same time, the fracture mechanics test results and simulation results of ice materials are compared, and the model is finally optimized accurately to provide theoretical support for the study of the mechanical mechanism of ice materials.

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Laboratory-scale mixed-mode I/II fracture tests on columnar saline ice

Cited by 17 publications

References 53 publications

Strengthening effect of cyclic load on siltstone and its macro–micro fracture mechanism

Strengthening effect of cyclic load on siltstone and its macro–micro fracture mechanism

Improvement of Mixed-Mode I/II Fracture Toughness Modeling Prediction Performance by Using a Multi-Fidelity Surrogate Model Based on Fracture Criteria

Comprehensive Fracture Model of Reservoir Ice Layers in the Northeastern Cold Region of China

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