Parametric identification of coefficients for fatigue stiffness degradation model of a composite material

\nThe problem of finding the fatigue characteristics of a composite material based on test results is considered. As a mathematical model of stiffness degradation, a non-linear ordinary differential equation with five unknown parameters is used, reflecting characteristic changes in the properties of the material. It is required to find such parameter values that the solution of the differential equation describes the available test re- sults with sufficient accuracy. The solution procedure is reduced to the problem of optimizing the objective function, the value of which characterizes the achieved accuracy. The optimization methods used were a method that simulates the behavior of a flock of moths and a method of sequential reduction of the search set. A step-by-step algorithm for finding the unknown parameters of the model is proposed, and numerical results are presented for processing three versions of experimental data containing information about the change in the elastic modulus of the composite material during the application of load cycles.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-25
DOI
https://doi.org/10.1051/e3sconf/202458305008/pdf
Primary Topic
Elasticity and Wave Propagation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parametric identification of coefficients for fatigue stiffness degradation model of a composite material

Springer Link (Chiba Institute of Technology)
Elasticity and Wave Propagation
article

Parametric identification of coefficients for fatigue stiffness degradation model of a composite material

article en

Abstract

\nThe problem of finding the fatigue characteristics of a composite material based on test results is considered. As a mathematical model of stiffness degradation, a non-linear ordinary differential equation with five unknown parameters is used, reflecting characteristic changes in the properties of the material. It is required to find such parameter values that the solution of the differential equation describes the available test re- sults with sufficient accuracy. The solution procedure is reduced to the problem of optimizing the objective function, the value of which characterizes the achieved accuracy. The optimization methods used were a method that simulates the behavior of a flock of moths and a method of sequential reduction of the search set. A step-by-step algorithm for finding the unknown parameters of the model is proposed, and numerical results are presented for processing three versions of experimental data containing information about the change in the elastic modulus of the composite material during the application of load cycles.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 65%
Elasticity and Wave Propagation
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.

Parametric identification of coefficients for fatigue stiffness degradation model of a composite material · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS