Stress Analysis of Metals: Structural Performance

Stress analysis is a critical aspect of understanding the mechanical behavior of metals under various loading conditions. This study investigates the methodologies used for stress analysis, including analytical, experimental, and computational approaches. The paper focuses on the principles and applications of techniques such as strain gauge measurement, finite element analysis (FEA), and X-ray diffraction for residual stress evaluation. Experimental analysis was conducted on common metals like steel, aluminum, and titanium under tensile, compressive, and shear loads to study their stress-strain behavior. Results highlight the correlation between material properties, microstructure, and stress distribution, offering insights into material selection and design optimization. Emerging trends such as machine learning integration and advanced imaging for stress analysis are also discussed, emphasizing their potential in advancing structural integrity assessment.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-28
DOI
https://doi.org/10.5281/zenodo.14754400
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stress Analysis of Metals: Structural Performance

Zenodo (CERN European Organization for Nuclear Research)
Welding Techniques and Residual Stresses
article

Stress Analysis of Metals: Structural Performance

article en

Abstract

Stress analysis is a critical aspect of understanding the mechanical behavior of metals under various loading conditions. This study investigates the methodologies used for stress analysis, including analytical, experimental, and computational approaches. The paper focuses on the principles and applications of techniques such as strain gauge measurement, finite element analysis (FEA), and X-ray diffraction for residual stress evaluation. Experimental analysis was conducted on common metals like steel, aluminum, and titanium under tensile, compressive, and shear loads to study their stress-strain behavior. Results highlight the correlation between material properties, microstructure, and stress distribution, offering insights into material selection and design optimization. Emerging trends such as machine learning integration and advanced imaging for stress analysis are also discussed, emphasizing their potential in advancing structural integrity assessment.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Welding Techniques and Residual Stresses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.