Award Data

In this STTR project, an efficient and high-fidelity computational module to predict non-gray radiative transfer will be developed and validated. The proposed hybrid approach to solve the radiative transport equation (RTE) is a combination of the spherical harmonics (PN) method and the Monte-Carlo method. Non-gray gases will be treated using the full spectrum correlated k-distribution (FSCK) metho ...

ABSTRACT: Due to scarcity of spectrum, Dynamic Spectrum Access (DSA) becomes a needed technology to improve the utilization of electromagnetic spectrum for DoD satellite communication. However, current DSA approaches are developed for terrestrial communications without addressing the unique challenges for SATCOM environments such as error-prone spectrum sensing, high mobility, and large coverage. ...

ABSTRACT: Coordinating and sharing information across multi-level security (MLS) networks are of great interest in many military applications. However, it is very challenging to accomplish those goals due to the heterogeneous security classifications of different network domains. The recent proposed cross-domain solutions (CDS) provide initial steps to make such applications possible. However, th ...

ABSTRACT: The objective of this proposal is to develop efficient sensitivity analysis methods based on adjoint techniques for multi-disciplinary time-dependent problems. The approach is based on the discrete adjoint, which is derived and implemented on a software component basis, with the various multidisciplinary software components being linked together through a Python interface, thus preservi ...

ABSTRACT: The goal of this project is to develop theoretical models for electrode erosion in high-pressure arcs and incorporate them into computational tools for simulations of arc heaters. The complexity of the electrode material removal process is associated with the multi-phase nature of the arc-electrode interactions, melting and vaporization of the electrodes near the arc foot. Available mod ...

ABSTRACT: The overall goal of the proposed effort is to develop and demonstrate a general-purpose, fast, and reliable management and learning software tool for analyzing massive data sets generated by dynamic multi-disciplinary simulation. In Phase I, key technology elements were developed and proof-of-principle was successfully demonstrated. Data management software encapsulating salient feature ...