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).
翻译: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包括以有限元素法获得的稀薄线性系统的分辨率。结构工程中出现的稀薄线性系统的快速和优化求解器的开发需要数据以比较现有方法、调速算法或评价新想法。我们引入了包含303.000个静态分析问题的静态分析数据集(StAnD),其中含有303.000个静态分析问题,将现实的负载应用到模拟框架结构中。除了数据集外,我们还公布了对CPU和GPU上现有解答器运行时间的详细基准比较。我们发布了生成数据集所使用的代码,并在Github上对现有解答器进行基准测量。据我们所知,这是静态分析问题的最大数据集,也是原始线性系统的第一个公开数据集(包含矩阵和现实的恒定术语)。