Fatigue Analysis of Continuously Carbon Fiber Reinforced Laminates

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Fatigue Analysis of Continuously Carbon Fiber Reinforced Laminates. / Maier, Julia; Pinter, Gerald Gerhard; Gaier, Christian et al.
In: SAE International Journal of Engines, Vol. 10.2017, No. 2, 2017-01-0327, 28.03.2017, p. 305-315.

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Maier J, Pinter GG, Gaier C, Fischmeister S. Fatigue Analysis of Continuously Carbon Fiber Reinforced Laminates. SAE International Journal of Engines. 2017 Mar 28;10.2017(2):305-315. 2017-01-0327. doi: 10.4271/2017-01-0327

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@article{9e6d783ba75e4ebcb5c6b17dfa63c4d8,
title = "Fatigue Analysis of Continuously Carbon Fiber Reinforced Laminates",
abstract = "Lightweight constructions and the reduction of production time and costs is of increasingly importance. Therefore, engineers make a lot of effort to replace metallic parts by other materials. Carbon fiber reinforced laminates are suitable in many cases because of their high specific strength and the low specific weight. The available material-data of this material group from datasheets are mostly static values like tensile strength and fracture elongation. For the fatigue assessment of parts regarding geometry, loading conditions and material behavior, static material data are not sufficient, but also the knowledge of the local S-N curve is necessary. Component specific effects, such as fiber orientation, type of loading, mean stress, temperature, production process and many more, essentially influence these local S-N curves, determined by the material. For fatigue life prediction an assessment method was established, which takes into account the fiber orientation and considers different types of failure mechanisms like fiber fracture, inter fiber fracture and delamination. As input data, structural stresses are needed analyzed by the Finite Element Method, where the local orthotropic material behavior for each ply has been considered. A hypothesis for fatigue life prediction of orthotropic carbon fiber reinforced materials has been derived based on the well-known static failure criterion of Puck, implemented into a standard fatigue software tool and verified so far with component tests. The hypothesis is applicable even for general random-like and multi-axial loads.",
author = "Julia Maier and Pinter, {Gerald Gerhard} and Christian Gaier and Stefan Fischmeister",
year = "2017",
month = mar,
day = "28",
doi = "10.4271/2017-01-0327",
language = "English",
volume = "10.2017",
pages = "305--315",
journal = "SAE International Journal of Engines",
issn = "1946-3944",
publisher = "SAE International",
number = "2",

}

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TY - JOUR

T1 - Fatigue Analysis of Continuously Carbon Fiber Reinforced Laminates

AU - Maier, Julia

AU - Pinter, Gerald Gerhard

AU - Gaier, Christian

AU - Fischmeister, Stefan

PY - 2017/3/28

Y1 - 2017/3/28

N2 - Lightweight constructions and the reduction of production time and costs is of increasingly importance. Therefore, engineers make a lot of effort to replace metallic parts by other materials. Carbon fiber reinforced laminates are suitable in many cases because of their high specific strength and the low specific weight. The available material-data of this material group from datasheets are mostly static values like tensile strength and fracture elongation. For the fatigue assessment of parts regarding geometry, loading conditions and material behavior, static material data are not sufficient, but also the knowledge of the local S-N curve is necessary. Component specific effects, such as fiber orientation, type of loading, mean stress, temperature, production process and many more, essentially influence these local S-N curves, determined by the material. For fatigue life prediction an assessment method was established, which takes into account the fiber orientation and considers different types of failure mechanisms like fiber fracture, inter fiber fracture and delamination. As input data, structural stresses are needed analyzed by the Finite Element Method, where the local orthotropic material behavior for each ply has been considered. A hypothesis for fatigue life prediction of orthotropic carbon fiber reinforced materials has been derived based on the well-known static failure criterion of Puck, implemented into a standard fatigue software tool and verified so far with component tests. The hypothesis is applicable even for general random-like and multi-axial loads.

AB - Lightweight constructions and the reduction of production time and costs is of increasingly importance. Therefore, engineers make a lot of effort to replace metallic parts by other materials. Carbon fiber reinforced laminates are suitable in many cases because of their high specific strength and the low specific weight. The available material-data of this material group from datasheets are mostly static values like tensile strength and fracture elongation. For the fatigue assessment of parts regarding geometry, loading conditions and material behavior, static material data are not sufficient, but also the knowledge of the local S-N curve is necessary. Component specific effects, such as fiber orientation, type of loading, mean stress, temperature, production process and many more, essentially influence these local S-N curves, determined by the material. For fatigue life prediction an assessment method was established, which takes into account the fiber orientation and considers different types of failure mechanisms like fiber fracture, inter fiber fracture and delamination. As input data, structural stresses are needed analyzed by the Finite Element Method, where the local orthotropic material behavior for each ply has been considered. A hypothesis for fatigue life prediction of orthotropic carbon fiber reinforced materials has been derived based on the well-known static failure criterion of Puck, implemented into a standard fatigue software tool and verified so far with component tests. The hypothesis is applicable even for general random-like and multi-axial loads.

UR - http://www.scopus.com/inward/record.url?scp=85018335309&partnerID=8YFLogxK

U2 - 10.4271/2017-01-0327

DO - 10.4271/2017-01-0327

M3 - Article

AN - SCOPUS:85018335309

VL - 10.2017

SP - 305

EP - 315

JO - SAE International Journal of Engines

JF - SAE International Journal of Engines

SN - 1946-3944

IS - 2

M1 - 2017-01-0327

ER -