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On moving fast and breaking things
Craig Piercycpiercy@ans.org
So much of what is happening in federal nuclear policy these days seems driven by a common approach popularized in the technology sector. Silicon Valley calls it “move fast and break things,” a phrase originally associated with Facebook’s early culture under Mark Zuckerberg. The idea emerged in the early 2000s as software companies discovered that rapid iteration, frequent experimentation, and a willingness to tolerate failure could dramatically accelerate innovation. This philosophy helped drive the growth of the social media, smartphones, cloud computing, and digital platforms that now underpin modern economic and social life.
Today, that mindset is also influencing federal nuclear policy. The Trump administration views accelerated nuclear deployment as part of a broader competition with China for technological and AI leadership. In that context, it seems willing to accept greater operational risk in pursuit of strategic advantage and long-term economic and security objectives.
Paul W. Marshall, Jeffrey B. Lutz, James L. Kelly
Nuclear Technology | Volume 76 | Number 3 | March 1987 | Pages 400-407
Technical Paper | Chemical Processing | doi.org/10.13182/NT87-A33925
Articles are hosted by Taylor and Francis Online.
A need for characterization of the iodine source term used in safety calculations for hypothesized light water reactor core disruptive accidents has motivated a study in iodine volatility. Previous experimental studies have been directed at evaluating volatility of iodine at a single time shortly (1 to 12 h) after introduction into the aqueous phase. The very important variables of time in solution and gamma radiation dose rate for a range of iodine concentrations (10-8 to 10-5 gI/ml) and pHs(5, 9, and 11) are explored. All experiments were performed at ∼25°C, first in the absence of a significant radiation field and later with a gamma radiation dose rate ranging from 0.003 to 0.06 Mrad/h. Iodine was introduced as either molecular I2 or Nal with 131I(8.04-day half-life) as a tracer. Results of experiments with nonirradiated systems indicated very little volatility with Nal-initiated studies. The I2-initiated systems at pH 5 were the most volatile whereas experiments at pH 9 and 11 showed decreasing iodine volatility with time. From the experiments at pH 9, it is inferred that the partition coefficient of HOI is ∼1000. A pronounced radiation-induced reduction in iodine volatility in pH 5 iodide solutions has been demonstrated as well as a dose rate dependence in the transient phase. As with nonirradiated systems, irradiated alkaline solutions exhibit low volatility. A computer-based model incorporating water radiolysis and iodine radiolytic chemical reactions has been formulated and tested. The model successfully predicts radiation-induced volatility changes in pH 5 iodide systems. The experimentally observed dose rate dependence is also verified. At pH 9, the agreement between experimental results and predicted results is not good.