论文标题
站立：线性静态分析问题的数据集
StAnD: A Dataset of Linear Static Analysis Problems
论文作者
论文摘要
结构的静态分析是确定结构稳定性的基本步骤。线性和非线性静态分析都包括通过有限元方法获得的稀疏线性系统的分辨率。在结构工程中出现的稀疏线性系统的快速和优化求解器的开发需要数据来比较现有方法，调整算法或评估新想法。我们介绍了包含303.000个静态分析问题的静态分析数据集（Stand），该问题可将逼真的负载应用于模拟帧结构。与数据集一起，我们发布了CPU和GPU上现有求解器的运行时间的详细基准比较。我们发布用于生成数据集和基准在GitHub上的现有求解器的代码。据我们所知，这是用于静态分析问题的最大数据集，它是第一个稀疏线性系统的公共数据集（同时包含矩阵和现实的常数术语）。
Static analysis of structures is a fundamental step for determining the stability of structures. Both linear and non-linear static analyses consist of the resolution of sparse linear systems obtained by the finite element method. The development of fast and optimized solvers for sparse linear systems appearing in structural engineering requires data to compare existing approaches, tune algorithms or to evaluate new ideas. We introduce the Static Analysis Dataset (StAnD) containing 303.000 static analysis problems obtained applying realistic loads to simulated frame structures. Along with the dataset, we publish a detailed benchmark comparison of the running time of existing solvers both on CPU and GPU. We release the code used to generate the dataset and benchmark existing solvers on Github. To the best of our knowledge, this is the largest dataset for static analysis problems and it is the first public dataset of sparse linear systems (containing both the matrix and a realistic constant term).
