<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=95138"><dc:title>Peridynamic modeling of fatigue in layered metal composites</dc:title><dc:creator>Jerenec,	Filip	(Avtor)
	</dc:creator><dc:creator>Gubeljak,	Nenad	(Mentor)
	</dc:creator><dc:creator>Madenci,	Erdogan	(Komentor)
	</dc:creator><dc:subject>Peridynamics</dc:subject><dc:subject>Fatigue Crack Growth</dc:subject><dc:subject>Kinetic Theory of Fracture</dc:subject><dc:subject>Layered Metal Composite</dc:subject><dc:subject>Additive Manufacturing</dc:subject><dc:description>In additive manufacturing, tooling is frequently built from laminated metal composites (LMCs) that stack dissimilar metals to shorten production times. Accurately predicting fatigue-crack growth in these unequal-strength laminates is difficult—particularly across joints where property mismatches steer crack paths. This work combines experiments and simulations to study fatigue-crack growth in an LMC formed by laser-melting AISI 316L powder onto high-strength structural steel S960. Crack growth was modeled with a linearized bond-based peridynamics (PD) formulation, with interfacial bonds tuned to the measured elastic-modulus gradient, and coupled to the Kinetic Theory of Fracture (KTF). Unlike conventional S–N–based approaches, KTF parameters were calibrated directly from measured crack-length–versus-cycles (a-N) data. Material behavior in the base metals and through the transition zone was characterized via tensile tests, hardness mapping, and nanoindentation; fatigue-crack growth data came from cyclic tests on compact-tension (CT) specimens. The model reproduced the observed differences in crack-growth rates between homogeneous and bimaterial specimens, and KTF parameter transferability across loads and geometries was confirmed for homogeneous samples. A key outcome is a practical calibration workflow for KTF within a nonlocal PD framework, enabling predictive simulation of fatigue-crack growth across multilayer metallic joints.</dc:description><dc:publisher>[F. Jerenec]</dc:publisher><dc:date>2025</dc:date><dc:date>2025-09-05 13:29:11</dc:date><dc:type>Doktorsko delo/naloga</dc:type><dc:identifier>95138</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
