Parallel Strategies and Verification of Sensitivity Analysis Function of RMC Code

Qiu Yishu; Liang Jingang; Yu Jiankai; Wang Kan

doi:10.13832/j.jnpe.2015.03.0152

Volume 36 Issue 3

Feb. 2025

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Qiu Yishu, Liang Jingang, Yu Jiankai, Wang Kan. Parallel Strategies and Verification of Sensitivity Analysis Function of RMC Code[J]. Nuclear Power Engineering, 2015, 36(3): 152-156. doi: 10.13832/j.jnpe.2015.03.0152

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Qiu Yishu, Liang Jingang, Yu Jiankai, Wang Kan. Parallel Strategies and Verification of Sensitivity Analysis Function of RMC Code[J]. Nuclear Power Engineering, 2015, 36(3): 152-156. doi: 10.13832/j.jnpe.2015.03.0152

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Parallel Strategies and Verification of Sensitivity Analysis Function of RMC Code

doi: 10.13832/j.jnpe.2015.03.0152

Department of Engineering Physics, Tsinghua University, Beijing, 100084, China

Received Date: 2015-03-21
Rev Recd Date: 2015-04-03

Available Online: 2025-02-15

Abstract

Abstract

In order to improve the computational efficiency and reduce the memory usage of the function in the Reactor Monte Carlo code RMC to compute the effective multiplication factor（keff） sensitivity coefficients with regard to nuclear data, two parallel strategies which are based on two ways to estimate the adjoint flux, namely, the next generation neutron number estimator and the neutron production rate estimator, are implemented in RMC. A multi-group infinite-medium test and a continuous-energy test are used to verify the new strategies. Results show that the sensitivity coefficients computed by the two parallel strategies agree well with the analytic solutions and those computed by MCNP6. Furthermore, the new strategies run 3 times as fast as MCNP6 and the figure of merits of the new strategies to compute the sensitivity coefficients to total cross section of different isotopes are 4 to 8 times as high as MCNP6.
- Sensitivity analysis,
- Iterative fission probability method,
- Parallelism,
- RMC

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