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| The OpenMC Monte Carlo Code
Copyright | 2011-2020 MIT and OpenMC contributors
License | https://docs.openmc.org/en/latest/license.html
Version | 0.12.1-dev
Git SHA1 | c5f66a3af5c1a57087e330f7b870e89a82267e4b
Date/Time | 2020-10-15 11:25:39
OpenMP Threads | 24
Reading settings XML file...
Reading cross sections HDF5 file...
Reading materials XML file...
Reading geometry XML file...
Loading cross section data...
Loading UO2 data...
WARNING: Cross sections for are only available at one temperature. Reverting
to the nearest temperature method.
Loading MOX43 data...
Loading MOX70 data...
Loading MOX87 data...
Loading FC data...
Loading GT data...
Loading CRD data...
Loading MOD data...
Preparing distributed cell instances...
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=================> STOCHASTIC VOLUME CALCULATION <=================
Running volume calculation 1
Thread 1 "openmc" received signal SIGSEGV, Segmentation fault.
0x00007ffff7eb868b in openmc::VolumeCalculation::execute (this=) at /home/yuejin/Cloud/OpenMC/src/vendor/xtensor/include/xtensor/xstorage.hpp:402
402 inline auto uvector::operator[](size_type i) -> reference
(gdb) backtrace
#0 0x00007ffff7eb868b in openmc::VolumeCalculation::execute (this=) at /home/yuejin/Cloud/OpenMC/src/vendor/xtensor/include/xtensor/xstorage.hpp:402
#1 0x00007ffff7ebb1aa in openmc_calculate_volumes () at /home/yuejin/Cloud/OpenMC/src/src/volume_calc.cpp:475
#2 0x000055555555521a in main (argc=, argv=) at /home/yuejin/Cloud/OpenMC/src/src/main.cpp:44
@kingyue Can you share a model that results in this segmentation fault? Otherwise it’s hard for us to reproduce it and figure out what’s going on.
This is a C5G7 model converted to openmc input by a toolkit from another neutronics code, so I don’t have a single python script.
Here are all the xml inputfiles:
geometry.xml (5.2 KB) materials.xml (1.0 KB) settings.xml (527 Bytes)
h5 macroscopic library:
mgxs.h5
@kingyue Volume calculations in OpenMC normally calculate both the volume of a cell/material as well as the number of atoms of specific nuclides within it. Right now, it unfortunately doesn’t work in conjunction with multigroup data (see this issue). A workaround for now would be to change your materials to use continuous-energy data; if you’re only interested in the volumes, the composition of the materials doesn’t matter.