Data-Driven Modeling of Cleavage Fracture Toughness in the Ductile-to-Brittle Transition: Exponential vs Sigmoidal Temperature Dependence with Δa Being the Deciding Parameter

The data includes collected DBT data on ferritic and ferritic/martensitic steels and codes used to apply machine learning models on these.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23957836
Primary Topic
Fatigue and fracture mechanics
Type
article
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article

Data-Driven Modeling of Cleavage Fracture Toughness in the Ductile-to-Brittle Transition: Exponential vs Sigmoidal Temperature Dependence with Δa Being the Deciding Parameter

Abhishek Tiwari
Zenodo (CERN European Organization for Nuclear Research)
Fatigue and fracture mechanics
article

Data-Driven Modeling of Cleavage Fracture Toughness in the Ductile-to-Brittle Transition: Exponential vs Sigmoidal Temperature Dependence with Δa Being the Deciding Parameter

Abhishek Tiwari
article en

Abstract

The data includes collected DBT data on ferritic and ferritic/martensitic steels and codes used to apply machine learning models on these.

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Technology Ropar (IN)
Openalex Percentile: Top 25%
Fatigue and fracture mechanics
DOIOpen Access PDFOpenAlex
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Data-Driven Modeling of Cleavage Fracture Toughness in the Ductile-to-Brittle Transition: Exponential vs Sigmoidal Temperature Dependence with Δa Being the Deciding Parameter — Abhishek Tiwari · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS