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Ultrasound has long been used as a non-destructive tool to test for the brittle fracture of materials. Could it be used as a similar tool to test for ductile failure? This study reports results of local measurements of the speed of shear…

Materials Science · Physics 2015-08-11 Vicente Salinas , Fernando Lund , Nicolás Mujica , Rodrigo Espinoza-González

Freckles, one of the common defects in blades used in heavy duty gas turbines, hugely deteriorates blades mechanical properties and liability under service conditions. Thermal-solutal convection theory is a widely adopted formation…

Materials Science · Physics 2023-06-16 Shuai Wang , Yuliang Jia , Yongzhe Wang , Yongjia Zhang , Lan Ma , Feng Cheng , Yi Zeng , Xu Shen , Yingliu Du , Binghui Ge

Real-world time series exhibit temporally structured uncertainty: volatility clusters in turbulent regimes, dissipates in stable periods, and shifts abruptly around structural breaks. Yet many probabilistic forecasting methods estimate…

Machine Learning · Computer Science 2026-05-26 Yijun Wang , Qiyuan Zhuang , Xiu-Shen Wei

Plastic inhomogeneity, particularly localised strain, is one of the main mechanisms responsible for failures in engineering alloys. This work studied the spatial arrangement and distribution of microstructure and their influence in the…

Materials Science · Physics 2023-03-21 Jalal Al-Lami , Thibaut Dessolier , Talha Pirzada , Minh-Son Pham

Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction of maximum internal stress is critical to predicting time to failure and…

We present a novel method for simulation of the interior of large cosmic voids, suitable for study of the formation and evolution of objects lying within such regions. Following Birkhoff's theorem, void regions dynamically evolve as…

Astrophysics · Physics 2009-11-10 David M. Goldberg , Michael S. Vogeley

Existing techniques to encode spatial invariance within deep convolutional neural networks (CNNs) apply the same warping field to all the feature channels. This does not account for the fact that the individual feature channels can…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Seungryong Kim , Sabine Süsstrunk , Mathieu Salzmann

Continuum fluid dynamic models based on the Navier-Stokes equations have previously been used to simulate granular media undergoing fluid-like shearing. These models, however, typically fail to predict the flow behaviour in confined…

Fluid Dynamics · Physics 2024-03-05 Duncan Dockar , M. H. Lakshminarayana Reddy , Matthew K. Borg , S. Kokou Dadzie

Two-dimensional materials are expected to play an important role in next-generation electronics and optoelectronic devices. Recently, twisted bilayer graphene and transition metal dichalcogenides have attracted significant attention due to…

The prediction of upcoming events in industrial processes has been a long-standing research goal since it enables optimization of manufacturing parameters, planning of equipment maintenance and more importantly prediction and eventually…

Computer Vision and Pattern Recognition · Computer Science 2020-02-26 Nikolaos Dimitriou , Lampros Leontaris , Thanasis Vafeiadis , Dimosthenis Ioannidis , Tracy Wotherspoon , Gregory Tinker , Dimitrios Tzovaras

We investigate the stability and nonlinear evolution of localized electron-scale current sheets using fully kinetic, electromagnetic particle-in-cell (PIC) simulations in two and three dimensions. By varying the current-sheet thickness, we…

Plasma Physics · Physics 2026-03-31 Sushmita A. Mishra , Gurudatt Gaur

This work presents a rigorous mathematical formulation for topology optimization of a macrostructure undergoing ductile failure. The prediction of ductile solid materials which exhibit dominant plastic deformation is an intriguingly…

Numerical Analysis · Mathematics 2023-03-22 Nima Noii , Hassan Ali Jahangiry , Haim Waisman

Fault diagnosis of rotating machinery is an important engineering problem. In recent years, fault diagnosis methods based on the Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) have been mature, but Transformer has not…

Computational Engineering, Finance, and Science · Computer Science 2021-08-31 Yuhong Jin , Lei Hou , Yushu Chen

A model has been developed which simulates the deformation of single crystal austenitic stainless steels and cap-tures the effects of hydrogen on stress corrosion cracking. The model is based on the crystal plasticity theory which relates…

Materials Science · Physics 2019-10-21 E. I. Ogosi , U. B. Asim , M. A. Siddiq , M. E. Kartal

3D-printed microfluidic devices offer new ways to study fluid dynamics. We present the first clear visualization of vortex breakdown in a dividing T-junction flow. By individual control of the inflow and two outflows, we decouple the…

Fluid Dynamics · Physics 2018-06-29 San To Chan , Simon J. Haward , Amy Q. Shen

Bamboo has a functionally-graded microstructure that endows it with a combination of desirable properties, such as high failure strain, high toughness, and a low density. As a result, bamboo has been widely used in load-bearing structures.…

Applied Physics · Physics 2023-06-09 Xiaoheng Zhu , Jiakun Liu , Yucong Hua , Ottman A. Tertuliano , Jordan R. Raney

We add thermal noise consistently to reduced models of undeformable vesicles and capsules in shear flow and derive analytically the corresponding stochastic equations of motion. We calculate the steady-state probability distribution…

Soft Condensed Matter · Physics 2012-07-31 David Abreu , Udo Seifert

We present a continuum model for the propagation of cracks and fractures in brittle materials. The components of the strain tensor $\epsilon$ are the fundamental variables. The evolution equations are based on a free energy that reduces to…

Statistical Mechanics · Physics 2007-05-23 V. I. Marconi , E. A. Jagla

Using cosmological $N$-body simulations and the void probability function (VPF), we investigate the statistical properties of voids within a wide range of initially Gaussian models for the origin of large-scale structure. We pay particular…

Astrophysics · Physics 2015-06-24 Blane Little , David H. Weinberg

We employ a recently developed model that allows the study of two-dimensional brittle crack propagation under fixed grip boundary conditions. The crack development highlights the importance of voids which appear ahead of the crack as…

Disordered Systems and Neural Networks · Physics 2015-06-12 Itamar Procaccia , Jacques Zylberg
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