Nondestructive Evaluation of Elastic Properties in Irregularly Shaped Thin-Walled Solid Structures

Abstract This study presents a nondestructive method for accurately estimating the elastic properties of isotropic, homogeneous, thin-walled solid materials with irregular geometries. The proposed approach integrates experimentally measured natural frequencies with finite element modal analysis to determine dynamic material properties such as Young’s modulus and Poisson’s ratio. Unlike conventional methods, which often require regular sample geometries, this technique focuses on evaluating arbitrarily shaped samples. A simple mechanical impulse induces vibrations, which are recorded using accessible tools such as cell phones, eliminating the need for expensive equipment. The method’s effectiveness was validated on three irregularly shaped aluminum samples, including two plates and a cylindrical tube. The acquired results showed excellent agreement with reference values, with deviations in ± 1% for Young’s modulus and ± 2% for Poisson’s ratio. The study demonstrates the method’s precision, flexibility, and cost-efficiency, making it a practical advancement in the nondestructive evaluation of elastic properties. The proposed method is particularly useful for cases that challenge conventional methods, such as materials having complex geometries, projects with limited budgets, and tasks without access to the advanced equipment required by conventional methods.

Authors

Institutions

Publication Details

Journal
Journal of Materials Engineering and Performance
Published
2026-06-25
DOI
https://doi.org/10.1007/s11665-026-14367-z
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nondestructive Evaluation of Elastic Properties in Irregularly Shaped Thin-Walled Solid Structures

Roshan Sharma, S. Mahat, Nico F. Declercq, Jingfei Liu
Journal of Materials Engineering and Performance
Structural Health Monitoring Techniques
article

Nondestructive Evaluation of Elastic Properties in Irregularly Shaped Thin-Walled Solid Structures

Roshan Sharma, S. Mahat, Nico F. Declercq, Jingfei Liu
article en

Abstract

Abstract This study presents a nondestructive method for accurately estimating the elastic properties of isotropic, homogeneous, thin-walled solid materials with irregular geometries. The proposed approach integrates experimentally measured natural frequencies with finite element modal analysis to determine dynamic material properties such as Young’s modulus and Poisson’s ratio. Unlike conventional methods, which often require regular sample geometries, this technique focuses on evaluating arbitrarily shaped samples. A simple mechanical impulse induces vibrations, which are recorded using accessible tools such as cell phones, eliminating the need for expensive equipment. The method’s effectiveness was validated on three irregularly shaped aluminum samples, including two plates and a cylindrical tube. The acquired results showed excellent agreement with reference values, with deviations in ± 1% for Young’s modulus and ± 2% for Poisson’s ratio. The study demonstrates the method’s precision, flexibility, and cost-efficiency, making it a practical advancement in the nondestructive evaluation of elastic properties. The proposed method is particularly useful for cases that challenge conventional methods, such as materials having complex geometries, projects with limited budgets, and tasks without access to the advanced equipment required by conventional methods.

Journal of Materials Engineering and Performance
Texas Tech University (US), Georgia Tech Lorraine (FR), Centre National de la Recherche Scientifique (FR), Georgia Institute of Technology (US)
Texas Tech University
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Structural Health Monitoring Techniques
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.