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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Candidates for leadership provide statements: ANS Board of Directors
With the annual ANS election right around the corner, American Nuclear Society members will be going to the polls to vote for a vice president/president-elect, treasurer, and members-at-large for the Board of Directors. In January, Nuclear News published statements from candidates for vice president/president-elect and treasurer. This month, we are featuring statements from each nominee for the Board of Directors.
H. H. Norman, E. A. Parziale, J. K. Saluja, R. F. Schenz, Jr.
Nuclear Technology | Volume 15 | Number 3 | September 1972 | Pages 447-454
Nuclear Technology | Aerospace | doi.org/10.13182/NT72-A16041
Articles are hosted by Taylor and Francis Online.
Modern control system theory has been applied to the design of the control system for the nerva nuclear rocket engine. Multiloop classical controls design approach has been used previously in the engine test program. The configuration and operation of the engine system with the resulting high degree of coupling and the multivariable nature of the system establishes a need for modern control techniques with considerable ad vantages over classical methods. The design procedure consists of system model linearization, system simplification, and the quadratic optimal control design. Transient performance results have been obtained from digital implimentation of the control system.
