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Correction in presenting author for a user talk in the 2024 workshop …
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IshaanDesai authored Aug 21, 2024
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<details class="workshop-event" id="talk-breuer">
<summary>
Application of preCICE for fire-structure interaction predicting the damage of concrete walls under fire load<br/>
<p><a href="https://dtecbw.de/home/kontaktadressen/hsu/prof-dr-ing-habil-michael-breuer">Michael Breuer</a>, Helmut Schmidt University - University of the Federal Armed Forces Hamburg, Germany</p>
<p><a href="https://openhsu.ub.hsu-hh.de/entities/person/a-palani">Arulnambi Palani</a>, Helmut Schmidt University - University of the Federal Armed Forces Hamburg, Germany</p>
</summary>
<p>This contribution presents a fully coupled simulation methodology for modeling a fire in a building and the developing structural damage to the concrete walls. Simulation of a fire without considering structural damages is already a challenging task due to the need to accurately account for a variety of chemical and physical processes such as pyrolysis, combustion, turbulence and heat transfer by convection, conduction and radiation. To achieve a practical and computational efficient approach, it is crucial to consider the expected computing times when selecting the models. Currently, the simulation methodology is implemented using the open-source software Fire Dynamics Simulator (FDS), which is a finite-difference solver of the Navier-Stokes equations on Cartesian grids. FDS relies on the large-eddy simulation technique to account for the instantaneous turbulent flow. The complexity increases when the fire causes structural damage to the building. In this study, the concrete damage in the form of cracks, holes or spalling is computed using a phase-field method with a FEniCS-based solver. The thermal boundary conditions are provided by the fire simulation. Thus, both solvers are coupled using the open-source coupling framework preCICE, which transfers wall temperatures from the fire simulation to the structural solver. In return the structural solver sends the predicted spalling data to the fluid solver. Consequently, the computational domain of the fluid solver must be adapted to account for the generated holes in the wall structure, affecting the ongoing CFD simulation. These holes facilitate the leakage of smoke gases and radiative heat transfer through the concrete wall, thereby contributing to the spread of the fire. In this work, the newly developed two-way coupled approach for the fire-structure interaction is applied to sample cases of thermal spalling induced in a concrete wall structure and the resulting leakage of hot gases. Another challenge is the implementation on a high-performance computer. Similar to many other coupled problems, the computational effort is not equally distributed between the two disciplines involved. Simulating the turbulent fluid flow and heat transfer in an entire building typically requires much more CPU time than predicting the structural response. This imbalance is taken into account by assigning a larger number of nodes to the MPI-parallelized CFD simulation compared to the structural simulation. All three codes are implemented on the local HPC cluster HSUper, which consists of 571 compute nodes, each equipped with 2 Intel Icelake sockets (Xeon Platinum 8360Y, 36 cores) enabling fast and efficient simulations.
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