A Method of Fracture Toughness J IC Measurement Based on Digital Image Correlation and Acoustic Emission Technique Article Swipe
The accurate measurement of fracture toughness depends on the accurate determination of crack initiation. Our previous study demonstrates a relationship between the acoustic features and microstructure transition of polyethylene pipe material using acoustic emission (AE) technique. In this study, acoustic criterion for crack initiation of single-edge notched specimen is proposed, with digital image correlation (DIC) observation, crack initiation time is determined. A combination method of DIC and AE technique is proposed to measure the fracture toughness JIC of polyethylene pipe material. DIC technique is used to obtain the deformation on specimen surface to calculate J-integral according to the rigorous definition, and AE technique is used to monitor the internal damage and capture the moment of crack initiation synchronously. Numerical simulation by ABAQUS as well as literature comparisons is conducted to verify the testing results. It's shown that fracture toughness is independent of tensile speed within range of 0.01 mm/min ~ 1.00 mm/min, JIC obtained by DIC measurement and numerical simulation is about 19.88 kJ/m2 and 19.58 kJ/m2 respectively, the average relative error is about 5.70%. The research results prove the validity and accuracy of the proposed method and can provide a reference for the fracture toughness measurement for other engineering materials.
Related Topics
Concepts
Digital image correlation
Fracture toughness
Acoustic emission
Materials science
Composite material
Fracture (geology)
Ultimate tensile strength
Fracture mechanics
Compact tension specimen
Toughness
Enhanced Data Rates for GSM Evolution
Digital image
Deformation (meteorology)
Structural engineering
Crack growth resistance curve
Image processing
Crack closure
Image (mathematics)
Computer science
Engineering
Telecommunications
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3730731
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3132479138
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3132479138Canonical identifier for this work in OpenAlex
- Title
-
A Method of Fracture Toughness J IC Measurement Based on Digital Image Correlation and Acoustic Emission TechniqueWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-14Full publication date if available
- Authors
-
Yuelin Zhang, Jianfeng Shi, Jinyang ZhengList of authors in order
- Landing page
-
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3730731Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3730731Direct OA link when available
- Concepts
-
Digital image correlation, Fracture toughness, Acoustic emission, Materials science, Composite material, Fracture (geology), Ultimate tensile strength, Fracture mechanics, Compact tension specimen, Toughness, Enhanced Data Rates for GSM Evolution, Digital image, Deformation (meteorology), Structural engineering, Crack growth resistance curve, Image processing, Crack closure, Image (mathematics), Computer science, Engineering, Telecommunications, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.about | 161, 173 |
| abstract_inverted_index.crack | 12, 42, 56, 115 |
| abstract_inverted_index.error | 171 |
| abstract_inverted_index.image | 52 |
| abstract_inverted_index.kJ/m2 | 163, 166 |
| abstract_inverted_index.other | 198 |
| abstract_inverted_index.prove | 178 |
| abstract_inverted_index.range | 145 |
| abstract_inverted_index.shown | 135 |
| abstract_inverted_index.speed | 143 |
| abstract_inverted_index.study | 16 |
| abstract_inverted_index.using | 31 |
| abstract_inverted_index.5.70%. | 174 |
| abstract_inverted_index.ABAQUS | 121 |
| abstract_inverted_index.damage | 109 |
| abstract_inverted_index.method | 63, 186 |
| abstract_inverted_index.mm/min | 148 |
| abstract_inverted_index.moment | 113 |
| abstract_inverted_index.obtain | 86 |
| abstract_inverted_index.study, | 38 |
| abstract_inverted_index.verify | 130 |
| abstract_inverted_index.within | 144 |
| abstract_inverted_index.average | 169 |
| abstract_inverted_index.between | 20 |
| abstract_inverted_index.capture | 111 |
| abstract_inverted_index.depends | 6 |
| abstract_inverted_index.digital | 51 |
| abstract_inverted_index.measure | 72 |
| abstract_inverted_index.mm/min, | 151 |
| abstract_inverted_index.monitor | 106 |
| abstract_inverted_index.notched | 46 |
| abstract_inverted_index.provide | 189 |
| abstract_inverted_index.results | 177 |
| abstract_inverted_index.surface | 91 |
| abstract_inverted_index.tensile | 142 |
| abstract_inverted_index.testing | 132 |
| abstract_inverted_index.accuracy | 182 |
| abstract_inverted_index.accurate | 1, 9 |
| abstract_inverted_index.acoustic | 22, 32, 39 |
| abstract_inverted_index.emission | 33 |
| abstract_inverted_index.features | 23 |
| abstract_inverted_index.fracture | 4, 74, 137, 194 |
| abstract_inverted_index.internal | 108 |
| abstract_inverted_index.material | 30 |
| abstract_inverted_index.obtained | 153 |
| abstract_inverted_index.previous | 15 |
| abstract_inverted_index.proposed | 70, 185 |
| abstract_inverted_index.relative | 170 |
| abstract_inverted_index.research | 176 |
| abstract_inverted_index.results. | 133 |
| abstract_inverted_index.rigorous | 98 |
| abstract_inverted_index.specimen | 47, 90 |
| abstract_inverted_index.validity | 180 |
| abstract_inverted_index.Numerical | 118 |
| abstract_inverted_index.according | 95 |
| abstract_inverted_index.calculate | 93 |
| abstract_inverted_index.conducted | 128 |
| abstract_inverted_index.criterion | 40 |
| abstract_inverted_index.material. | 80 |
| abstract_inverted_index.numerical | 158 |
| abstract_inverted_index.proposed, | 49 |
| abstract_inverted_index.reference | 191 |
| abstract_inverted_index.technique | 68, 82, 102 |
| abstract_inverted_index.toughness | 5, 75, 138, 195 |
| abstract_inverted_index.J-integral | 94 |
| abstract_inverted_index.initiation | 43, 57, 116 |
| abstract_inverted_index.literature | 125 |
| abstract_inverted_index.materials. | 200 |
| abstract_inverted_index.simulation | 119, 159 |
| abstract_inverted_index.technique. | 35 |
| abstract_inverted_index.transition | 26 |
| abstract_inverted_index.combination | 62 |
| abstract_inverted_index.comparisons | 126 |
| abstract_inverted_index.correlation | 53 |
| abstract_inverted_index.definition, | 99 |
| abstract_inverted_index.deformation | 88 |
| abstract_inverted_index.determined. | 60 |
| abstract_inverted_index.engineering | 199 |
| abstract_inverted_index.independent | 140 |
| abstract_inverted_index.initiation. | 13 |
| abstract_inverted_index.measurement | 2, 156, 196 |
| abstract_inverted_index.single-edge | 45 |
| abstract_inverted_index.demonstrates | 17 |
| abstract_inverted_index.observation, | 55 |
| abstract_inverted_index.polyethylene | 28, 78 |
| abstract_inverted_index.relationship | 19 |
| abstract_inverted_index.determination | 10 |
| abstract_inverted_index.respectively, | 167 |
| abstract_inverted_index.microstructure | 25 |
| abstract_inverted_index.synchronously. | 117 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.20879285 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |