Approche probabiliste de la rupture fragile et ductile à grandes vitesses de déformations
TL;DRAbstract
In this work we have examined fracture initiations mechanisms on notches under dynamic loadings. Two kinds of fractures where examined : the brittle fracture of a glass and a molybdenum alloy TZM and the ductile fracture of a XC18 steel. Our work point out the interest of using notched specimens instead of craked specimens for fracture toughness evaluation and justifies the notch stress intensity factor approach. We have observed that the fracture mecanisms under static and dynamic loads are the same. However we have noticed an increase in the scattering of results in both types of fracture. This increase is explained by the multiactivation mecanism of structure defects. We have particulary shown this point for ductile fracture by observation of the number of cavity per fractured area. To solve this problem we have developped a microstatistic approach. Two possibilities are available : the numer of activated defects is unknown and a microstatistic model allows to know this number per v
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In this work we have examined fracture initiations mechanisms on notches under dynamic loadings. Two kinds of fractures where examined : the brittle fracture of a glass and a molybdenum alloy TZM and the ductile fracture of a XC18 steel. Our work point out the interest of using notched specimens instead of craked specimens for fracture toughness evaluation and justifies the notch stress intensity factor approach. We have observed that the fracture mecanisms under static and dynamic loads are the same. However we have noticed an increase in the scattering of results in both types of fracture. This increase is explained by the multiactivation mecanism of structure defects. We have particulary shown this point for ductile fracture by observation of the number of cavity per fractured area. To solve this problem we have developped a microstatistic approach. Two possibilities are available : the numer of activated defects is unknown and a microstatistic model allows to know this number per v
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