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.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
November 2025
Latest News
Jeff Place on INPO’s strategy for industry growth
As executive vice president for industry strategy at the Institute of Nuclear Power Operations, Jeff Place leads INPO’s industry-facing work, engaging directly with chief nuclear officers.
Edward L. H. Tang
Nuclear Science and Engineering | Volume 69 | Number 1 | January 1979 | Pages 65-75
Technical Paper | doi.org/10.13182/NSE79-A21286
Articles are hosted by Taylor and Francis Online.
The rod-drop experiment has been studied for the purpose of predicting reactor resonance power level. A simplified model, referred to here as the “collective model,” is introduced for experimental analysis of the rod-drop transient response. The mathematical description of this model is formulated by describing the experimentally observed oscillatory response by an overall damping factor and an overall oscillatory frequency. Based on this model, it is found that the overall damping factor is approximately a linear function of the reactor power. Accordingly, we propose an experimental procedure, the method of least-squares approach, which provides an exponential approach to the resonance power level as a function of the number of rod drops. It is shown that the accuracy of measurement in the rod-drop experiment greatly affects this technique for core dynamic analysis. The present results show that for an experiment of negligible experimental error, only two or three rod drops are needed to predict the resonance power level up to an accuracy of 0.2%, while for an experiment of ±5% in error, it requires four to five rod drops to reach an accuracy of 0.8%.