Results 71 to 80 of about 5,901,072 (257)

Tensile–shear microcrack source mechanism and stress inversion methods of coal–rock

open access: yesMeitan xuebao
Precise monitoring and quantitative inversion of coal–rock fracture geometries and stress‐field distributions are regarded as fundamental scientific prerequisites for elucidating the evolution of rockburst processes and associated failure mechanisms, and
Enyuan WANG   +4 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

Influences of hydro-mechanical conditions to fracturing behavior of sandstone analogs: approach and implications

open access: yesJournal of Petroleum Exploration and Production Technology
The compressive torsion (C-T) fractures are widely distributed in water-saturated, clay-poor, and cementation-weak Cretaceous sandstones in Western China due to asymmetric tectonic convergence.
Xiaodong Zhao   +4 more
doaj   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

In-situ stress characteristics in the project area of a large hydropower station on the northern margin of the eastern Himalayan syntaxis

open access: yesDizhi lixue xuebao
Objective  We analyzed and evaluated the in-situ stress distribution characteristics and fault stability in the project area of a large hydropower station on the northern margin of the eastern Himalayan syntaxis.
WANG Bin   +9 more
doaj   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

open access: yesAdvanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller   +3 more
wiley   +1 more source

Modeling principal stress rotation for anisotropic sand

open access: yes, 2015
This paper extends a constitutive model previously developed by the authors to model the anisotropic sand behavior during cyclic rotation of principal stress axes.
Zhao, Ji Dong   +2 more
core   +1 more source

Impact of the Process Atmosphere During Hot Isostatic Pressing on the Near‐Surface Composition of an Additively Manufactured Austenitic High‐Interstitial Steel

open access: yesAdvanced Engineering Materials, EarlyView.
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt   +4 more
wiley   +1 more source

Disparate particulate materials subjected to principal stress rotation [PDF]

open access: yes, 1991
Many geotechnical engineering designs must accommodate the action of wind, waves and earthquakes. These loadings cause principal stress rotations on the foundation soil.
Dalili, A
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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