Results 31 to 40 of about 4,217 (265)
Analysis of initial geometric imperfections in transmission tower structures
Abstract To clarify the influence of initial defects on transmission tower structures, this study proposes a computational methodology for quantifying initial defects in transmission tower systems, termed the Direct Defect Analysis Method (DDAM).
Qigang Sun +4 more
openaire +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Post-Buckling Range of Plates in Axial Compression with Uncertain Initial Geometric Imperfections [PDF]
The paper deals with the worst scenario method which is applied to von Kármán equations with uncertain initial deflection. Assuming two mode initial and total deflection and using Galerkin method, the problem leads to a system of two nonlinear algebraic equations with one or two uncertain parameters.
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This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser +3 more
wiley +1 more source
Design of a Multistable Finger Prosthesis with Programmable Metamaterials
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz +5 more
wiley +1 more source
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
ENERGY ABSORPTION PROPERTIES OF AXIALLY LOADED METAL CIRCULAR TUBE UNDER IMPACT LOAD
In order to study the mechanical behavior and energy absorption characteristics of a metal circular tube with axial pre-compression under axial impact load. The finite element analysis was carried out based on Abaqus. A circular tube whoseR/t value is 15
HONG Xiang, YAO Song, GUO XingXing
doaj
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Numerical analysis of stability of the stiffened plates subjected aliquant critical loads
The aim of the work is to research the precritical and postcritical equilibrium of the stiffened plates subjected aliquant critical loads. Methods. The finiteelement complex MSC PATRAN - NASTRAN was used in the paper.
Gaik A. Manuylov +2 more
doaj +1 more source
Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures
Stochastic modelling of geometrically imperfect steel frame structures requires inputs of statistical values of the imperfection parameters, in some cases also with suitably selected mutual correlations between these input parameters. The paper presents a verification study of two stochastic methods to directly model the initial global geometrical ...
Daniel Jindra, Zdeněk Kala, Jiří Kala
openaire +3 more sources

