标题： CooLBM：通过格子玻尔兹曼方法的协作开源反应多相/组分模拟代码 显示英文标题

标题： CooLBM: A Collaborative Open-Source Reactive Multi-Phase/Component Simulation Code via Lattice Boltzmann Method

摘要： 当前的工作介绍了一个新的COllaborative Open-source Lattice Boltzmann Method框架，称为CooLBM。该计算框架用于模拟单组分和多组分多相问题，以及反应界面和共轭流体-固体传热问题。CooLBM采用多CPU/GPU架构以实现高性能计算（HPC），从而为大规模问题提供高效且并行的模拟。该代码使用C++实现，并广泛利用标准模板库（STL）以提高代码的模块化、灵活性和可重用性。开发的框架结合了先进的数值方法和算法，以准确捕捉复杂的流体动力学和相间相互作用。它提供了广泛的功能，包括相分离、界面张力和质量传递现象。反应界面模拟模块能够研究发生在流体-流体界面的化学反应，扩展了其在反应性多相系统中的适用性。通过各种基准模拟展示了CooLBM的性能和准确性，展示了其捕捉复杂流体行为和界面动力学的能力。代码的模块化结构使得定制和扩展变得容易，促进了额外模型和边界条件的实现。最后，CooLBM提供了可视化工具用于分析和解释模拟结果。总体而言，CooLBM为研究复杂的多相系统和反应界面提供了一个高效的计算框架，使其成为化学工程、材料科学和环境工程等多个领域研究人员和工程师的宝贵工具。CooLBM将在开源计划下供科学社区使用。 显示英文摘要

摘要： The current work presents a novel COllaborative Open-source Lattice Boltzmann Method framework, so-called CooLBM. The computational framework is developed for the simulation of single and multi-component multi-phase problems, along with a reactive interface and conjugate fluid-solid heat transfer problems. CooLBM utilizes a multi-CPU/GPU architecture to achieve high-performance computing (HPC), enabling efficient and parallelized simulations for large scale problems. The code is implemented in C++ and makes extensive use of the Standard Template Library (STL) to improve code modularity, flexibility, and re-usability. The developed framework incorporates advanced numerical methods and algorithms to accurately capture complex fluid dynamics and phase interactions. It offers a wide range of capabilities, including phase separation, interfacial tension, and mass transfer phenomena. The reactive interface simulation module enables the study of chemical reactions occurring at the fluid-fluid interface, expanding its applicability to reactive multi-phase systems. The performance and accuracy of CooLBM are demonstrated through various benchmark simulations, showcasing its ability to capture intricate fluid behaviors and interface dynamics. The modular structure of the code allows for easy customization and extension, facilitating the implementation of additional models and boundary conditions. Finally, CooLBM provides visualization tools for the analysis and interpretation of simulation results. Overall, CooLBM offers an efficient computational framework for studying complex multi-phase systems and reactive interfaces, making it a valuable tool for researchers and engineers in several fields including, but not limited to chemical engineering, materials science, and environmental engineering. CooLBM will be available under open source initiatives for scientific communities.