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KIc Determination of a 7075 T6 Aluminum Alloy by Critical Distances Theory and LEFM [PDF]
Materials Research, 2023 The Critical Distances Theory has been used in engineering field as a less expensive method to predict failures. Thus, this research aims to evaluate its methods in other materials, like the aluminum alloy 7075 T6, and notches. Two different notches were
Larissa Gomes Simão +1 more
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The application of the Theory of Critical Distances to nonhomogeneous materials
Fatigue & Fracture of Engineering Materials & Structures, 2023 AbstractThe Theory of Critical Distances (TCD) has undoubtedly represented a breakthrough in the brittle failure assessment of engineering materials containing defects, crack, or notches. The basic idea on which the simplest formulation of the TCD is based is to evaluate an effective stress at a characteristic distance from the tip of the defect/crack ...
Liviu Marsavina +3 more
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The notch effect on fracture of polyurethane materials [PDF]
Fracture and Structural Integrity, 2014 This paper investigates the fracture properties and notch effect of PUR materials with four different densities. The asymmetric semi-circular bend specimen was adapted to perform mixed mode fracture toughness tests.
T. Voiconi +4 more
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Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2023 Correlations between material parameters are useful because they provide a first estimation of unknown parameters. Here, the correlation between the tensile strength and the mode I fracture toughness of rocks is studied.
Jon Justo, Marina Miranda, Jorge Castro
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Theory of critical distances: A discussion on concepts and applications
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021 Theory of Critical Distances (TCD) collects several methods adopted in failure prediction of components provided with stress concentration features. The idea of evaluating stress effect in a zone rather than in a single point was proposed decades ago but, only thanks to relatively recent works, TCD concepts showed to be a successful extension of Linear
Delprete C., Maggio L. G., Sesana R.
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Applications of the theory of critical distances in failure analysis [PDF]
Engineering Failure Analysis, 2011 Abstract The Theory of Critical Distances (TCD) is the name which I use to describe a group of methods employed for the prediction of failure in cases where stress concentrations are present and where the failure mode involves cracking, such as fatigue and brittle fracture. Some of these methods are more than 50 years old, some very recent.
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Comparing distance bounding protocols: A critical mission supported by decision theory [PDF]
Computer Communications, 2015 Distance bounding protocols are security countermeasures designed to thwart relay attacks. Such attacks consist in relaying messages exchanged between two parties, making them believe they communicate directly with each other. Although distance bounding protocols have existed since the early nineties, this research topic resurrected with the deployment
Gildas Avoine +2 more
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Critical length parameter of HDPE and its use in fatigue lifetime predictions
Fracture and Structural IntegrityThe contribution describes the fatigue lifetime predictions of polyethylene notched specimens based on the theory of critical distance. The approach uses the line method, which averages the axial stress over the critical distance.
Kamila Koz�kov� +3 more
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Metals, 2022 The main objective of this paper is to accurately obtain fatigue life prediction for the key components of a turning mechanism using the improved theory of critical distances (TCD).
Tingting Wang +4 more
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THEORY OF CRITICAL DISTANCES AND THE THICKNESS OF THE SURFACE LAYER
, 2023 The theory of critical distances is based on the strength of materials L, which is given by its strength properties KIc and σ0. We have shown that the thickness of the surface layer R(I) is equal to the nanocrack length Lnm. We have shown that there is a relationship between L and Lnm: L = 104 Lnm = 104 R(I) ≈ 10-5 М/ρ.
Berdibekov A.T. +3 more
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