Multi-Scale Computational Models of Deformation and Failure in Polycrystalline Metals and Alloys with Uncertainty-Quantification
Abstract
A holistic structural integrity assessment framework is desirable for enhancing mission readiness and reliability of various Navy systems. To build this framework, it is necessary to develop robust predictive capabilities of the structure-material performance and life compromised by failure processes like fracture and fatigue. This calls for a paradigm shift from conventional empiricism and statistics-based prognosis approaches, to computational physics-based modeling approaches, bridging multiple scales. The proposed research will develop a comprehensive multi-scale modeling framework, integrated with uncertainty quantification, for structure-material failure and fatigue life prediction. The focus will be on metallic materials that are characterized by polycrystalline and poly-phase microstructures. The models will incorporate the effects of microstructure, along with time-dependent inhomogeneous deformation and complex crack evolution at the material scales, into structural-scale response functions for use in large-scale simulations. A prime emphasis will be on linking nucleation and growth of cracks in the material microstructure to damage manifestation at the structural scale. This research will push the boundaries of current trends in Integrated Computational Materials Engineering (ICME) to result in a paradigm shift from conventional empiricism, predominant in the current literature. Structural materials studied will be those characterized by (a) polycrystalline microstructures, e.g. titanium alloy Ti-6AL-4V and (b) polycrystalline-polyphase microstructures, e.g. 7075-T6 and 7079- The end goal is to devise tools for structural location-specific material design for improved performance and failure mitigation. These tools can be helpful for emerging areas like additive manufacturing that rely on the integrated structure-material engineering paradigm. Effective high performance computing protocols will be implemented for optimal execution time following multi-level parallel programming protocols. Parallel programs will conform to the MPI/Open-MP standards for portability. Implementation focus will be on parallel scalability, mapping and scheduling, scalable communication and synchronization libraries and parallel I/O. The PI is establishing a Software Hub to serve as a conduit for technology transfer of mature scientific/engineering computer codes to the external community. Output from the Software-Hub is expected to enhance research productivity and capability of the user community, who are users of simulation capabilities, but not necessarily experts in computational modeling and code development. This can enhance the collaborative network of the research team with researchers from various sectors. Product development and use in industrial settings are expected to have accelerated growth as a result. The PI’s group will collaborate with researchers at NAVY organizations, e.g. NAVAIR and NAVSEA to explore research directions of common interest as well as for possible technology transfer.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 26, 2018
- Source ID
- N000141812596
Entities
People
- Somnath Ghosh
Organizations
- Johns Hopkins University
- Office of Naval Research
- United States Navy