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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
ANS standard updated for determining meteorological information at nuclear facilities
Following approval in October from the American National Standards Institute, ANSI/ANS-3.11-2024, Determining Meteorological Information at Nuclear Facilities, was published in late November. This standard provides criteria for gathering, assembling, processing, storing, and disseminating meteorological information at commercial nuclear power plants, U.S. Department of Energy/National Nuclear Security Administration nuclear facilities, and other national or international nuclear facilities.
Günyaz Ablay, Tunc Aldemir
Nuclear Science and Engineering | Volume 173 | Number 1 | January 2013 | Pages 82-98
Technical Paper | doi.org/10.13182/NSE11-43
Articles are hosted by Taylor and Francis Online.
The use of sliding mode observers as a model-based method is proposed for robust fault detection and isolation in linear and nonlinear nuclear systems. A sliding mode output observer and a sliding mode state observer are designed and applied to a U-tube steam generator model, a coupled nonlinear reactor model, and a pressurizer model to detect additive and multiplicative faults in the presence of uncertainties and measurement noise. Numerical results for both steady-state and transient responses of the example systems are presented to illustrate the effectiveness of the proposed method.