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Related papers: A study of localisation in dual-phase high-strengt…

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We report a novel experimental methodology for in situ measurement of electrical resistivity changes in T2 copper during dynamic compression utilizing a split Hopkinson pressure bar. The effects of adiabatic temperature rise and specimen…

Materials Science · Physics 2025-04-29 K. Yan , Zhaokun Wang , Haijuan Mei , Wanting Sun

Metals are important structural materials for transport and the built environment. Low carbon steels can fail through strain localisation due to the role of interstitial solute atoms (such as carbon and nitrogen) interacting with mobile…

Materials Science · Physics 2019-01-24 James L R Hickey , S Rouland , T B Britton

We propose a nonlocal strain measure for use with digital image correlation (DIC). Whereas the traditional notion of compatibility (strain as the derivative of the displacement field) is problematic when the displacement field varies…

Instrumentation and Detectors · Physics 2014-09-10 R. B. Lehoucq , P. L. Reu , D. Z. Turner

Microscopic digital volume correlation (DVC) and finite element precoalescence strain evaluations are compared for two nodular cast iron specimens. Displacement fields from \textit{in-situ} 3D synchrotron laminography images are obtained by…

This work is based on the study of the behaviour of flax fibres twill reinforced epoxy composites. The aim of the study is to determine the modulus of elasticity, Poisson coefficients and strength of these composites materials with image…

Classical Physics · Physics 2019-02-15 Amélie Cuynet , Franck Toussaint , Emile Roux , Daniel Scida , Rezak Ayad

Localization, in the form of adiabatic shear, is analyzed in viscoplastic solids that may undergo structural transformation driven by pressure, shear stress, temperature, and magnetic field. As pertinent to polycrystalline metals,…

Materials Science · Physics 2024-10-01 John D. Clayton

Quasi-static tensile experiments were performed for a model disordered solid consisting of a two-dimensional raft of polydisperse floating granular particles with capillary attractions. The ductility is tuned by controlling the capillary…

Soft Condensed Matter · Physics 2020-09-15 Hongyi Xiao , Robert JS Ivancic , Douglas J Durian

Uniaxial strain is a powerful tuning parameter that can control symmetry and anisotropic electronic properties in iron-based superconductors. However, accurately characterizing anisotropic strain can be challenging and complex. Here, we…

Superconductivity · Physics 2024-10-18 Ziye Mo , Chunyi Li , Wenting Zhang , Chang Liu , Yongxin Sun , Ruixian Liu , Xingye Lu

A two dimensional amorphous material is modeled as an assembly of mesoscopic elemental pieces coupled together to form an elastically coherent structure. Plasticity is introduced as the existence of different minima in the energy landscape…

Materials Science · Physics 2007-07-05 E. A. Jagla

Synchrotron Laue microdiffraction and Digital Image Correlation measurements were coupled to track the elastic strain field (or stress field) and the total strain field near a general grain boundary in a bent bicrystal. A 316L stainless…

The first and second mode stress intensity factors (SIFs) of a contact problem between a half-plane with an edge crack and an asymmetric tilted wedge were obtained using experimental method of Digital Image Correlation (DIC). In this…

Materials Science · Physics 2015-01-12 Seyedmeysam Khaleghian , Anahita Emami , Mohammad Yadegari , Nasser Soltani

Strain-engineering in SiGe nanostructures is fundamental for the design of optoelectronic devices at the nanoscale. Here we explore a new strategy, where SiGe structures are laterally confined by the Si substrate, to obtain high tensile…

The present work deals with the microstructure and texture evolutions of a TWIP high entropy alloy at various temperatures. Toward this end, the tensile tests were conducted at temperatures ranging from 298 to 873 K under the strain rate of…

Materials Science · Physics 2021-05-12 A. Nabizada , A. Zarei-Hanzaki , H. R. Abedi , M. H. Barati , P. Asghari-Rad , H. S. Kim

High-entropy alloys (HEAs) stand out between multi-component alloys due to their attractive microstructures and mechanical properties. In this investigation, molecular dynamics (MD) simulation and machine learning were used to ascertain the…

Materials Science · Physics 2024-02-05 Hoang-Giang Nguyen , Thanh-Dung Le

Plastic flow behavior of low carbon steel has been studied at room temperature during tensile deformation by varying the initial strain rate of 3.3x10e-4 1/sec to the final strain rate ranging from 1.33x10e-3 1/sec to 2.0x10e-3 1/sec at a…

Materials Science · Physics 2007-05-23 A. Ray , P. Barat , P. Mukherjee , A. Sarkar , S. K. Bandyopadhyay

We explore the possibilities of using energy minimization for the numerical modeling of strain localization in solids as a sharp discontinuity in the displacement field. For this purpose, we consider (regularized) strong discontinuity…

Machine Learning · Computer Science 2025-01-14 Omar León , Víctor Rivera , Angel Vázquez-Patiño , Jacinto Ulloa , Esteban Samaniego

This Paper introduces a new Non-Contact, Optical method for displacement measurements, and strain mapping as well as comparing it to traditional Digital Image correlation (DIC) and laser interferometry measurement method. This Method…

Instrumentation and Methods for Astrophysics · Physics 2020-01-14 Mahshad Mosayebi

The main purpose of this study is to determine, via a three dimensions Finite Element analysis (FE), the stress and strain fields at the inner surface of a tubular specimen submitted to thermo-mechanical fatigue. To investigate the surface…

In this paper, we propose a model-simulation framework for virtual tensile strength tests of random fiber structures, as they appear in nonwoven materials. The focus is on the efficient handling with respect to the problem-inherent…

Numerical Analysis · Mathematics 2020-10-07 Marc Harmening , Nicole Marheineke , Raimund Wegener

Accurate prediction of fracture toughness under complex loading conditions, like mixed mode I/II, is essential for reliable failure assessment. This paper aims to develop a machine learning framework for predicting fracture toughness and…

Computational Physics · Physics 2025-03-04 Amir Mohammad Mirzaei