Results 21 to 30 of about 536,508 (263)

Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures

open access: yesComplex & Intelligent Systems, 2023
Lattice structures created using additive manufacturing technology inevitably produce inherent defects that seriously affect their mechanical properties. Predicting and analysing the effect of defects on the maximum stress is very important for improving
Zhiwei Zhang   +3 more
doaj   +1 more source

Experimental Validation of an Analytical Condensation Model for Application in Steam Turbine Design

open access: yesInternational Journal of Turbomachinery, Propulsion and Power, 2022
This paper presents experimental data on shear-stress-driven liquid water films on a horizontal plate formed by the condensation of superheated steam. The experimental results were obtained in the Experimental Multi-phase Measurement Application (EMMA ...
Florian Felix Lapp   +3 more
doaj   +1 more source

Limited influence of irrigation on pre-monsoon heat stress in the Indo-Gangetic Plain

open access: yesNature Communications, 2022
Pre-monsoon irrigation over the Indo-Gangetic Plain is often misrepresented in model-driven hypothesis. Using actual census-based data and realistic model simulations, the authors show that irrigation has limited role in enhancing heat stress in the ...
Roshan Jha   +4 more
doaj   +1 more source

Revisiting the Common Practice of Sellars and Tegart’s Hyperbolic Sine Constitutive Model

open access: yesModelling, 2022
The Sellars and Tegart’s hyperbolic sine constitutive model is widely practiced in describing stress–strain curves of metals in hot deformation processes.
Soheil Solhjoo
doaj   +1 more source

Quantitative model of cell cycle arrest and cellular senescence in primary human fibroblasts. [PDF]

open access: yesPLoS ONE, 2012
Primary human fibroblasts in tissue culture undergo a limited number of cell divisions before entering a non-replicative "senescent" state. At early population doublings (PD), fibroblasts are proliferation-competent displaying exponential growth.
Sascha Schäuble   +7 more
doaj   +1 more source

Mechanism of Stress-Driven Grain Boundary Migration in Nanotwinned Materials

open access: yesReviews on Advanced Materials Science, 2018
Stress-driven grain boundary (GB) migration in ultrafine-grained materials with nanotwinned structure is theoretically described. In the framework of the theoretical model, the stress-driven high-angle GB migration is accompanied by migration of twin ...
Skiba N.V.
doaj   +1 more source

A data-driven lifetime prediction method for thermal stress fatigue failure of power MOSFETs

open access: yesEnergy Reports, 2022
As one of the core power electronic devices that undertake power conversion and control tasks in electrical systems, power MOSFETs are widely used in key fields such as transportation, industrial drives, and aerospace.
Xiang Wang   +5 more
doaj   +1 more source

Stress-Driven Migration of Low-Angle Grain Boundaries Near Crack Tips in Nanocomposites Containing Incoherent Nanoinclusions

open access: yesReviews on Advanced Materials Science, 2018
Theoretical model describing stress-driven migration of low-angle grain boundaries (GBs) in the vicinity of growing crack in metal matrix nanocomposites with reinforcing (metallic or ceramic) incoherent nanoinclusions is proposed.
Bobylev S.V., Galeeva L.-S.D.
doaj   +1 more source

A nonlocal elasticity theory to model the static behaviour of edge-cracked nanobeams

open access: yesFracture and Structural Integrity
In the present paper, the mechanical behaviour of edge-cracked nanobeams under Mixed-Mode loading is analytically investigated by means of the Stress-Driven nonlocal model. Firstly, the proposed formulation is outlined, and then applied to the case of a
Daniela Scorza   +5 more
doaj   +1 more source

Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis

open access: yesScientific Reports, 2022
Describing the material flow stress and the associated uncertainty is essential for the plastic stochastic structural analysis. In this context, a data-driven approach-heteroscedastic sparse Gaussian process regression (HSGPR) with enhanced efficiency is
Baixi Chen, Luming Shen, Hao Zhang
doaj   +1 more source

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