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Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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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Commercial nuclear innovation "new space" age
In early 2006, a start-up company launched a small rocket from a tiny island in the Pacific. It exploded, showering the island with debris. A year later, a second launch attempt sent a rocket to space but failed to make orbit, burning up in the atmosphere. Another year brought a third attempt—and a third failure. The following month, in September 2008, the company used the last of its funds to launch a fourth rocket. It reached orbit, making history as the first privately funded liquid-fueled rocket to do so.
G. C. Geisler, R. E. Zindler
Nuclear Science and Engineering | Volume 48 | Number 3 | July 1972 | Pages 255-265
Technical Paper | doi.org/10.13182/NSE72-A22484
Articles are hosted by Taylor and Francis Online.
An improved method, called Simulation of System Operation for Reliability Analysis, for utilizing Monte Carlo techniques in the computer analysis of the reliability of complex systems is presented. This method is particularly applicable to systems which employ highly reliable elements with extremely low failure rates. Earlier techniques of Brunot simulate operation of a system through a sequential series of time steps and test for system failure in each time step. After a sufficient number of time steps, a system failure probability can be determined. When such methods are applied to systems composed of highly reliable components, computer time requirements can become excessive. This is due to the great number of time steps which must be examined to obtain statistically significant numbers of system failures. The method to be described begins by randomly selecting a “critical’ ’ time step of failure for each component. Failures are then examined to determine if a system failure combination has occurred in any time step. To continue the simulation, a second critical time step is chosen for each component and added to the first. The program proceeds in this fashion, considering only time steps in which at least one failure has occurred. Thus computer time requirements become essentially independent of failure rates.