TY - JOUR A1 - Cerrone, Albert R. A1 - Wawrzynek, Paul A1 - Nonn, Aida A1 - Paulino, Glaucio H. A1 - Ingraffea, Anthony R. T1 - Implementation and verification of the Park–Paulino–Roesler cohesive zone model in 3D JF - Engineering Fracture Mechanics N2 - The Park–Paulino–Roesler (PPR) potential-based model is a cohesive constitutive model formulated to be consistent under a high degree of mode-mixity. Herein, the PPR’s generalization to three-dimensions is detailed, its implementation in a finite element framework is discussed, and its use in single-core and high performance computing (HPC) applications is demonstrated. The PPR model is shown to be an effective constitutive model to account for crack nucleation and propagation in a variety of applications including adhesives, composites, linepipe steel, and microstructures. KW - Cohesive zone modeling KW - Cohesive element KW - Intergranular fracture KW - Finite element analysis KW - PPR potential-based model Y1 - 2014 U6 - https://doi.org/10.1016/j.engfracmech.2014.03.010 VL - 120 SP - 26 EP - 42 ER - TY - JOUR A1 - Xue, Lufeng A1 - Keim, Vincent A1 - Paredes, Marcelo A1 - Nonn, Aida A1 - Wierzbicki, Tomasz T1 - Anisotropic effects on crack propagation in pressurized line pipes under running ductile fracture scenarios JF - Engineering fracture mechanics N2 - The current analyses present results of running ductile fracture propagation in high strength X100 line pipe steels under the influence of anisotropy. Mechanical anisotropy is commonly available in pipe products as a result of the manufacturing process, especially, those subjected to hot/cold-worked deformation. The outcomes of the present analyses show that its effect on the behavior of running ductile fracture in cracked pipes undergoing depressurization is meaningful. For instance, the Crack-Tip Opening Angle (CTOA) not only exhibits a strong dependence to the pipe's diameter size, but also to the material's anisotropy nature when compared to a hypothetical isotropic material. Moreover, laboratory scale tests such as those performed on Battelle Drop Weight Tear (BDWT) samples provide useful information about initiation of ductile crack propagation when the anisotropy features are taken into account in the material description. KW - BEHAVIOR KW - Fracture anisotropy KW - INITIATION KW - MODEL KW - Non-associated flow rule KW - PREDICTION KW - Rate dependent MMC Model KW - Running ductile fracture KW - STATE KW - STEEL KW - STRAIN-RATE KW - TOUGHNESS Y1 - 2021 U6 - https://doi.org/10.1016/j.engfracmech.2021.107748 VL - 249 PB - Elsevier ER - TY - CHAP A1 - Nonn, Aida A1 - Marx, P. T1 - Validated Multiphysics Modeling For Advanced Pipeline Integrity Management T2 - ADIPEC, November 4–7, 2024, Abu Dhabi, UAE N2 - The aim of this paper is to present practical steps for utilizing a validated multiphysics approach for fracture control in CO2 pipelines within the framework of Carbon Capture Transport and Storage (CCTS). Ensuring the arrest of running ductile fracture (RDF) is a crucial safety requirement for the transportation of dense-phase CO2. However, current standards rely on outdated and restrictive methods, imposing severe limitations on pipeline material and structural design. As a result, projects that fall outside these standards face the need for extremely costly tests, often leading to delays or cancellations of CCTS initiatives. This study introduces an advanced, validated, fully-coupled fluid-structure interaction (FSI) model designed to accurately predict fracture propagation in CO2 pipelines. A key advantage of this approach is its use of robust and reproducible calibration and validation procedures combined with high-quality material characterization data. The full coupling of structural, fluid, and backfill models is essential for obtaining precise results, not only in determining arrest occurrence but also in analyzing properties such as fracture velocity history, 3D pressure distributions behind the propagating crack, wall thinning, and crack tip opening angle. The FSI model has demonstrated its value as a cost-effective tool for safety assessments, enabling the development of fracture control plans that specify minimum required material properties and fluid compositions for optimized pipeline design, both onshore and offshore. Additionally, performing virtual studies with the parameterized FSI model enables the generation of synthetic data for training and validating a machine learning surrogate model. This surrogate model can be integrated into industrial practices, facilitating the application of multiphysics modeling without the need for extensive expertise. Y1 - 2024 U6 - https://doi.org/10.2118/222279-MS ER - TY - JOUR A1 - Qiao, Yu A1 - Grad, Marius A1 - Nonn, Aida T1 - Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures JF - Metals N2 - Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process–structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components. Y1 - 2025 U6 - https://doi.org/10.3390/met15070812 SN - 2075-4701 VL - 15 IS - 7 PB - MDPI ER -