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
DOE saves $1.7M transferring robotics from Portsmouth to Oak Ridge
The Department of Energy’s Office of Environmental Management said it has transferred four robotic demolition machines from the department’s Portsmouth Site in Ohio to Oak Ridge, Tenn., saving the office more than $1.7 million by avoiding the purchase of new equipment.
Helmut Holzbauer, Lothar Wolf
Nuclear Technology | Volume 125 | Number 2 | February 1999 | Pages 166-181
Technical Paper | Reactor Safety | doi.org/10.13182/NT99-A2940
Articles are hosted by Taylor and Francis Online.
GOTHIC is an advanced code for thermal-hydraulic flow simulation in nuclear reactor containments and other confinements. Battelle Europe has participated in the development and verification of the code over a number of years.Described are blind and open posttest calculations of the Heiss Dampf Reaktor hydrogen-mixing experiments E11.2 and E11.4 in comparison with measured data.Caused by a miscalibration of steam source flow rates and neglect of the heat sink capability of the instrumentation cooling lines, the pressure, temperature, and steam concentrations were drastically overpredicted by the blind predictions and are quantitatively not comparable to experimental data.The following conclusions can be drawn from the parametric open posttest calculations:1. Scenarios with homogeneous containment atmosphere (like E11.4) can be simulated accurately with lumped-parameter models.2. The lumped-parameter method is seemingly not fully qualified to predict the hydrogen distribution in a stratified containment atmosphere (like E11.2).3. Improved predictive quality may require the application of distributed parameter models.