Reduced-Order Damage Assessment Model for Dual-Phase Steels

• Published in: Integrating materials and manufacturing innovation Vol. 11; no. 4; pp. 587 - 606
• Main Authors: Thakre, Sanket, Kanjarla, Anand K.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2022; Springer Nature B.V
• Subjects: Characterization and Evaluation of Materials; Chemistry and Materials Science; Crack initiation; Damage assessment; Dual phase steels; Ductile fracture; Ferrites; Fracture mechanics; Materials Science; Metallic Materials; Microstructure; Nanotechnology; Reduced order models; Regression models; Statistical analysis; Structural Materials; Surfaces and Interfaces; Technical Article; Thin Films; Work hardening; Dual-phase steels; Ductile damage models; Reduced-order model (ROM); Random forest regression; Damage ranking framework
• ISSN: 2193-9764; 2193-9772
• DOI: 10.1007/s40192-022-00282-3

We present a microstructure and work hardening sensitive reduced-order model using random forest regression for predicting damage initiation in dual-phase (DP) steels. The ductile damage behavior of banded and non-banded DP steels is evaluated for various degrees of ferrite hardening. The banded microstructures show a superior damage resistance which is further improved by ferrite hardening. A general framework to rank the severity of damage initiation in various classes using a statistical fitting procedure is introduced. The regression-based and statistical fitting-based models can successfully quantify the damage initiation and group the various classes into three major clusters. The proposed framework is a step toward developing more effective and invertible reduced-order structure–property correlations