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At least 19 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

CUAS Regulatory Authority in the United States [Slides]

Slides describing: (1) How the United States (U.S.) Passes Federal Laws, (2) Initial Actions in Regulatory Space for CUAS, (3) Department of Justice (DOJ): Flow-down Authority, (4) Department of Homeland Security (DHS): Flow-down Authority, (5) CUAS Authority Granting Timeline, (6) CUAS Regulations, (7) Defining UAS Threats, (8) CUAS actions permitted pursuant to 50 USC 2661 for the Department of Energy, (9) Penalties

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2020

Counter Unmanned Aircraft System (CUAS) Implementation Storyline

This report is an FY21 Deliverable for NA-21.1, International Nuclear Security, WBS 21.1.1.1.4 Counter Unmanned Aircraft Systems (CUAS), under C.1.4, Develop Suite of Engagement Materials and Tools for Country/Regional Teams. The responsibility for protecting nuclear assets is an immense challenge for governments. Policy changes based on geopolitics, instability of government regimes, and technological advances that facilitate theft of nuclear material all contribute to the enduring task of staying current with these and other threats. One of the recent threats to come along is the use of drones or Unmanned Aircraft Systems (UAS) to circumvent traditional Physical Security Systems. There are significant resources invested on physical protection systems for securing nuclear assets, but many of these systems can now be bypassed by simply flying over these measures intended to guard against ground attacks. In recent years the threat increased to hostile groups to attack or surveil due to advances and availability of UAS platforms. It is now more urgent to implement systems and procedures to counter the UAS threat. The United States (U.S.) federal government granted authority to the Department of Energy (DOE) to implement a Counter UAS to protect nuclear assets. This document provides a very practical and transparent view of the trials, tribulations and challenges we encountered while implementing the first Counter-Unmanned Aircraft System (CUAS) Program in the DOE at Los Alamos National Laboratory (LANL).

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗
DOE OSTI2020

Materials Data on CuAs by Materials Project

CuAs crystallizes in the hexagonal P6_3/mmc space group. The structure is three-dimensional. Cu1+ is bonded in a 6-coordinate geometry to six equivalent As1- atoms. All Cu–As bond lengths are 2.56 Å. As1- is bonded in a 6-coordinate geometry to six equivalent Cu1+ atoms.

36 MATERIALS SCIENCE↗
DOE OSTI2020

Materials Data on Sm2(CuAs)3 by Materials Project

Sm2(CuAs)3 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. there are two inequivalent Sm3+ sites. In the first Sm3+ site, Sm3+ is bonded in a 6-coordinate geometry to six As3- atoms. There are a spread of Sm–As bond distances ranging from 2.98–3.11 Å. In the second Sm3+ site, Sm3+ is bonded to six As3- atoms to form SmAs6 octahedra that share corners with nine CuAs4 tetrahedra, edges with four equivalent SmAs6 octahedra, edges with four CuAs4 tetrahedra, and a faceface with one CuAs4 tetrahedra. There are a spread of Sm–As bond distances ranging from 2.90–3.01 Å. There are three inequivalent Cu1+ sites. In the first Cu1+ site, Cu1+ is bonded to four As3- atoms to form CuAs4 tetrahedra that share a cornercorner with one SmAs6 octahedra, corners with twelve CuAs4 tetrahedra, edges with two equivalent SmAs6 octahedra, and edges with three CuAs4 tetrahedra. The corner-sharing octahedral tilt angles are 51°. There are a spread of Cu–As bond distances ranging from 2.48–2.55 Å. In the second Cu1+ site, Cu1+ is bonded to four As3- atoms to form distorted CuAs4 tetrahedra that share corners with three equivalent SmAs6 octahedra, corners with eight CuAs4 tetrahedra, edges with two equivalent SmAs6 octahedra, and edges with three CuAs4 tetrahedra. The corner-sharing octahedra tilt angles range from 28–49°. There are a spread of Cu–As bond distances ranging from 2.47–2.62 Å. In the third Cu1+ site, Cu1+ is bonded to four As3- atoms to form CuAs4 tetrahedra that share corners with five equivalent SmAs6 octahedra, corners with eight CuAs4 tetrahedra, edges with two equivalent CuAs4 tetrahedra, and a faceface with one SmAs6 octahedra. The corner-sharing octahedra tilt angles range from 44–76°. There are a spread of Cu–As bond distances ranging from 2.45–2.51 Å. There are three inequivalent As3- sites. In the first As3- site, As3- is bonded in a 8-coordinate geometry to four Sm3+ and four Cu1+ atoms. In the second As3- site, As3- is bonded in a 9-coordinate geometry to three Sm3+ and six Cu1+ atoms. In the third As3- site, As3- is bonded to five Sm3+ and two Cu1+ atoms to form distorted edge-sharing AsSm5Cu2 pentagonal bipyramids.

36 MATERIALS SCIENCE↗
DOE OSTI2020

Materials Data on U(CuAs)2 by Materials Project

U(CuAs)2 crystallizes in the trigonal P-3m1 space group. The structure is three-dimensional. U4+ is bonded to six equivalent As3- atoms to form UAs6 octahedra that share corners with twelve equivalent CuAs4 tetrahedra, edges with six equivalent UAs6 octahedra, and edges with six equivalent CuAs4 tetrahedra. All U–As bond lengths are 2.88 Å. Cu1+ is bonded to four equivalent As3- atoms to form CuAs4 tetrahedra that share corners with six equivalent UAs6 octahedra, corners with six equivalent CuAs4 tetrahedra, edges with three equivalent UAs6 octahedra, and edges with three equivalent CuAs4 tetrahedra. The corner-sharing octahedra tilt angles range from 18–55°. There are three shorter (2.45 Å) and one longer (2.50 Å) Cu–As bond lengths. As3- is bonded to three equivalent U4+ and four equivalent Cu1+ atoms to form a mixture of distorted corner and edge-sharing AsU3Cu4 pentagonal bipyramids.

36 MATERIALS SCIENCE↗
DOE OSTI2020

Materials Data on Ca(CuAs)2 by Materials Project

Ca(CuAs)2 crystallizes in the tetragonal I4/mmm space group. The structure is three-dimensional. Ca2+ is bonded in a body-centered cubic geometry to eight equivalent As3- atoms. All Ca–As bond lengths are 3.19 Å. Cu2+ is bonded to four equivalent As3- atoms to form a mixture of edge and corner-sharing CuAs4 tetrahedra. All Cu–As bond lengths are 2.47 Å. As3- is bonded in a 9-coordinate geometry to four equivalent Ca2+, four equivalent Cu2+, and one As3- atom. The As–As bond length is 2.64 Å.

36 MATERIALS SCIENCE↗
DOE OSTI2020

Materials Data on Sr(CuAs)2 by Materials Project

SrCu2As2 crystallizes in the tetragonal I4/mmm space group. The structure is three-dimensional. Sr2+ is bonded in a body-centered cubic geometry to eight equivalent As3- atoms. All Sr–As bond lengths are 3.30 Å. Cu2+ is bonded to four equivalent As3- atoms to form a mixture of corner and edge-sharing CuAs4 tetrahedra. All Cu–As bond lengths are 2.49 Å. As3- is bonded in a 9-coordinate geometry to four equivalent Sr2+, four equivalent Cu2+, and one As3- atom. The As–As bond length is 2.76 Å.

36 MATERIALS SCIENCE↗
DOE OSTI2020

Materials Data on Ba(CuAs)2 by Materials Project

BaCu2As2 is alpha bismuth trifluoride-derived structured and crystallizes in the tetragonal I4/mmm space group. The structure is three-dimensional. Ba2+ is bonded in a body-centered cubic geometry to eight equivalent As3- atoms. All Ba–As bond lengths are 3.42 Å. Cu2+ is bonded to four equivalent As3- atoms to form a mixture of corner and edge-sharing CuAs4 tetrahedra. All Cu–As bond lengths are 2.49 Å. As3- is bonded in a 8-coordinate geometry to four equivalent Ba2+ and four equivalent Cu2+ atoms.

36 MATERIALS SCIENCE↗
DOE OSTI2026

Deliberate Motion Analytics Applied to CUAS Sensor Fusion

The Advanced Reactor Safeguards and Security (ARSS) program in the Department of Energy’s Office of Nuclear Energy (DOE-NE) seeks to identify new technology solutions for safeguards and security challenges associated with domestic deployment of advanced nuclear reactors. Research in the ARSS program is investigating alternative physical protection system (PPS) approaches that leverage new detection technologies. This report shows test results from a new form of artificial intelligence (AI) that is called deliberate motion analytics (DMA) when used to spatially and temporally fuse active radar and passive radio frequency (RF) detection that significantly improves detection of uncrewed aircraft systems (UASs). DMA is designed to filter out false positive alarms yet provide highly reliable intrusion detection at nuclear power plants (NPPs) and advanced small modular reactor (ASMR) perimeters. This form of AI is considered to be an enabling technology for security of the future and supports the ARSS investigation of alternative PPSs.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗
NASA NTRS1976

Code Usage Analysis System (CUAS)

A set of computer programs is offered to aid a user in evaluating performance of an application program. The system provides reports of subroutine usage, program errors, and segment loading which occurred during the execution of an application program. It is presented in support of the development and validation of the space vehicle dynamics project.

Horsley, P. H.↗
DOE OSTI2026

Drone Fleet Summary: NNLEMS UxS Rolodex entry for Sandia

Sandia’s UAS Aviation Operations Unit (UAOU) was established in 2019 to be the single entity at Sandia conducting UAS Ops in support the labs Uncrewed Aircraft Systems (UAS) activities. The UAOU currently consists of >330 FAA Registered UAS with a large variety of primarily Class 1&2 UAS: fixed wing (>90), multi-rotor (>230), hybrids, VTOLs, jets, and balloons. Many of these are threat vehicles presented as targets to Counter-UAS (CUAS) systems as part of performance tests, with the remainder in support of other projects across Sandia often with custom payload needs. The UAOU has ~15 primary pilots and reach back to another ~45 FAA Certified Remote Pilots across Sandia. The team conducts flight and CUAS operations at many test locations, including OCONUS. Sandia was awarded the 2024 DOE Federal Aviation Safety Program Award.

42 ENGINEERING↗
NASA NTRS1999

A New Compendium of Unsteady Aerodynamic Test Cases for CFD: Summary of AVT WG-003 Activities

With the continuous progress in hardware and numerical schemes, Computational Unsteady Aerodynamics (CUA), that is, the application of Computational Fluid Dynamics (CFD) to unsteady flowfields, is slowly finding its way as a useful and reliable tool (turbulence and transition modeling permitting) in the aircraft, helicopter, engine and missile design and development process. Before a specific code may be used with confidence it is essential to validate its capability to describe the physics of the flow correctly, or at least to the level of approximation required, for which purpose a comparison with accurate experimental data is needed. Unsteady wind tunnel testing is difficult and expensive; two factors which dramatically limit the number of organizations with the capability and/or resources to perform it. Thus, unsteady experimental data is scarce, often classified and scattered in diverse documents. Additionally, access to the reports does not necessarily assure access to the data itself. The collaborative effort described in this paper was conceived with the aim of collecting into a single easily accessible document as much quality data as possible. The idea is not new. In the early 80's NATO's AGARD (Advisory Group for Aerospace Research & Development) Structures and Material Panel (SMP) produced AGARD Report No. 702 "Compendium of Unsteady Aerodynamic Measurements", which has found and continues to find extensive use within the CUA Community. In 1995 AGARD's Fluid Dynamics Panel (FDP) decided to update and expand the former database with new geometries and physical phenomena, and launched Working Group WG-22 on "Validation Data for Computational Unsteady Aerodynamic Codes". Shortly afterwards AGARD was reorganized as the RTO (Research and Technology Organization) and the WG was renamed as AVT (Applied Vehicle Technolology) WG-003. Contributions were received from AEDC, BAe, DLR, DERA, Glasgow University, IAR, NAL, NASA, NLR, and ONERA. The final publication with the results of the exercise is expected in the second part of 1999. The aim of the present paper is to announce and present the new database to the Aeroelasticity community. It is also intended to identify, together with one of the groups of end users it targets, deficiencies in the compendium that should be addressed by means of new wind tunnel tests or by obtaining access to additionally existing data.

Ruiz-Calavera, Luis P.↗
DOE OSTI2020

FY2020 Rotating Bed Reactor for Iodine Removal from WTP Melter Effluent to Support DFLAW Start-Up

In Performance Assessment (PA) of the Hanford Integrated Disposal Facility (IDF), 129 I is a significant contributor to the risk. The 2017 IDF PA accounted for 0.22% of the total 129 I inventory in Hanford tank waste as residing in the solidified liquid waste from the Effluent Treatment Facility (ETF). However, recent estimates suggest that higher percentages of the iodine processed at the Hanford Waste Treatment and Immobilization Plant (WTP) may be present in the liquid waste routed to the Liquid Effluent Retention Facility (LERF) for eventual treatment at the ETF. In addition, a recent integrated melter test performed at the Vitreous State Laboratory (VSL) at The Catholic University of America (CUA) showed the possibility that a significant fraction (>50%) of the total iodine in the melter feed could be present in the aqueous waste stream destined for the ETF. This stream represents a combination of the Effluent Management Facility (EMF) evaporator overhead condensate and the liquid waste from the WTP off-gas caustic scrubber. Higher levels of 129 I in this stream could affect the LERF and ETF Hazard Categorizations as well as the acceptability of the solidified ETF liquid secondary waste brine for disposal at the IDF. Accordingly, there is a need to investigate and develop potential methods and processes to mitigate this risk. Washington River Protection Solutions, LLC (WRPS) tasked Atkins and VSL to perform development and testing work to evaluate potential methods for removal of iodine species from the waste stream routed to the LERF. In particular, the testing investigated the use of an Atkins-SpinIonic™ Rotating Bed Reactor (RBR) system as a potential alternative to conventional column-based ion exchange or absorption processes. The present report provides results obtained from testing with an RBR system for the removal of iodine from simulants of the projected WTP waste stream that discharges to the LERF.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗