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J-integral-based single specimen technique

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Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003310
EISBN: 978-1-62708-176-4
... Abstract This article discusses the J-integral-based single and multiple specimen techniques of the ASTM E 1737 test method for determining plane strain fracture toughness of polymeric materials. It describes the fracture toughness testing of thin sheets and films. The article concludes...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006910
EISBN: 978-1-62708-395-9
... is developing its own procedure based on the work of the ESIS TC4 Committee. There also are several normalization procedures to determine the J -integral. Testing usually is performed using pre-notched SENB or CT specimens. Specimen size is the largest available, to be as close as possible to plane strain...
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003306
EISBN: 978-1-62708-176-4
... these data. The first is the multiple-specimen test method, in which each specimen develops a single value of J and Δ a , but no special crack monitoring equipment is needed during the test. Crack extension is measured on the fracture surface at the conclusion of the test. However, for this technique...
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003311
EISBN: 978-1-62708-176-4
..., assuming no fiber bridges are present ( Ref 62 ). The J -parameter toughness has also been measured using a CT specimen ( Ref 63 ). A J -based testing technique has been developed for CMCs using the CT specimen geometry. The concept of the J -parameter is used to determine the contribution...
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0009217
EISBN: 978-1-62708-176-4
... caused primarily by material differences between specimens, and δ j effects are caused by experimental errors during a single test. Separate terms are introduced for the between-specimen and within-specimen random effects to demonstrate the data processing effects in reducing the within-experiment...