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On the fracture mechanics validity of small scale tests
C. Cui, L. Cupertino-Malheiros, Z. Xiong, E. Mart\'inez-Pa\~neda
https://arxiv.org/abs/2506.02538

On the fracture mechanics validity of small scale tests
There is growing interest in conducting small-scale tests to gain additional insight into the fracture behaviour of components across a wide range of materials. For example, micro-scale mechanical tests inside of a microscope (\emph{in situ}) enable direct, high-resolution observation of the interplay between crack growth and microstructural phenomena (e.g., dislocation behaviour or the fracture resistance of a particular interface), and sub-size samples are increasingly used when only a limite…

Fracture Sounds releases Solo String Formations for Kontakt Player featuring solo violin, viola, and cello https://www.kvraudio.com/news/fr…

Plateau Sigma – The Great Reset EP
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This https://arxiv.org/abs/2408.14058 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Phantom chain simulations for fracture of star polymer networks on the effect of arm molecular weight
This study investigated the fracture of star polymer networks made from prepolymers with various arm molecular weights in the range $2 \leq N_a \leq 0$, for node functionalities $3 \leq f \leq 8$ and conversion ratios $0.6\leqϕ_c\leq0.95$ by phantom chain simulations. The networks were created via end-linking reactions of star polymers dispersed in a simulation box with a fixed monomer density $ρ=8$. The resultant networks were alternatively subjected to energy minimization and uniaxial stret…

SIFBench: An Extensive Benchmark for Fatigue Analysis
Tushar Gautam, Robert M. Kirby, Jacob Hochhalter, Shandian Zhe
https://arxiv.org/abs/2506.01173 https…

SIFBench: An Extensive Benchmark for Fatigue Analysis
Fatigue-induced crack growth is a leading cause of structural failure across critical industries such as aerospace, civil engineering, automotive, and energy. Accurate prediction of stress intensity factors (SIFs) -- the key parameters governing crack propagation in linear elastic fracture mechanics -- is essential for assessing fatigue life and ensuring structural integrity. While machine learning (ML) has shown great promise in SIF prediction, its advancement has been severely limited by the …

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