ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
BWXT will scout potential TRISO fuel production sites in Wyoming
BWX Technologies Inc. announced today that its Advanced Technologies subsidiary has signed a cooperation agreement with the state of Wyoming to evaluate locations and requirements for siting a potential new TRISO nuclear fuel fabrication facility in the state.
Robert W. Albrecht
Nuclear Technology | Volume 14 | Number 3 | June 1972 | Pages 208-217
Technical Paper | Reactor | doi.org/10.13182/NT72-A31110
Articles are hosted by Taylor and Francis Online.
The theoretical background for the use of coherent detection in the determination of the existence of certain classes of anomalous behavior in nuclear reactors is developed. The analysis results in methods which can be useful for simulation of anomalous conditions in a power reactor by using normal power reactor noise combined with simulated anomalous conditions in a low power reactor. Scaling laws are derived which specify the transfer functions of electronic networks used to modify the signals from low power reactor experiments to make them compatible with the requirements for simulation. Preliminary experiments demonstrate procedures for the detection of simulated anomalies in low power reactors.