Constitutive model calibration of high-strength steel in tensile mode using a compression-to-tension stress-converting specimen structure in split Hopkinson pressure bar tests

A specimen designed to convert compressive stress into tensile stress during the split Hopkinson pressure bar (SHPB) test is employed for the inverse calibration of a constitutive model for steel with a flow stress exceeding approximately 1,600 MPa. This calibration is accomplished by tracking the bar signals through repeated simulations. The maximum strain rate, strain, and temperature were approximately 6,500 s<sup>−1</sup>, 0.53, and 550 K, respectively. These values significantly surpassed those obtained from a standard SHPB test, as predicted by an Excel template referenced elsewhere. The advantages of the proposed calibration method are discussed in comparison to the conventional approach.

Publication Details

Journal
Figshare
Published
2025-02-06
DOI
https://doi.org/10.6084/m9.figshare.28359701
Primary Topic
High-Velocity Impact and Material Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constitutive model calibration of high-strength steel in tensile mode using a compression-to-tension stress-converting specimen structure in split Hopkinson pressure bar tests

Figshare
High-Velocity Impact and Material Behavior
article

Constitutive model calibration of high-strength steel in tensile mode using a compression-to-tension stress-converting specimen structure in split Hopkinson pressure bar tests

article en

Abstract

A specimen designed to convert compressive stress into tensile stress during the split Hopkinson pressure bar (SHPB) test is employed for the inverse calibration of a constitutive model for steel with a flow stress exceeding approximately 1,600 MPa. This calibration is accomplished by tracking the bar signals through repeated simulations. The maximum strain rate, strain, and temperature were approximately 6,500 s<sup>−1</sup>, 0.53, and 550 K, respectively. These values significantly surpassed those obtained from a standard SHPB test, as predicted by an Excel template referenced elsewhere. The advantages of the proposed calibration method are discussed in comparison to the conventional approach.

Figshare
Affordable and clean energy
Openalex Percentile: Top 62%
High-Velocity Impact and Material Behavior
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.