Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames
Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames
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基于Python的计算平台可自动进行钢抗弯框架的抗震设计、非线性结构模型构建和分析
DOI：
10.1016/j.engstruct.2020.111199
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发表时间：
2020
影响因子：
5.5
通讯作者：
T. Sabol
中科院分区：
文献类型：
--
作者：
Xingquan Guan;H. Burton;T. Sabol
提出了一个端到端计算平台，可自动执行钢抗弯框架的抗震设计、非线性结构模型构建和响应模拟（静态和动态）。采用模块化框架和面向对象的编程范式，保证平台的适应性。抗震设计模块基于相关的输入设计变量，包括建筑配置（例如，层数、侧向力抵抗系统的数量和建筑尺寸）、荷载（例如，每层的静荷载和活荷载）和现场条件（映射的谱加速参数），迭代地生成符合规范的截面尺寸和梁、柱和梁柱连接的详细设计。非线性模型构建和分析模块将设计结果作为输入，生成结构模型，捕获框架梁柱单元中的弯曲强度和刚度恶化，并执行推覆和响应历史分析。举例说明了该平台的可靠性、准确性和效率，这显着减少了迭代结构设计和进行非线性分析所需的时间和精力，这两者都是基于性能的抗震设计所必需的。此外，该平台还可用于创建原型钢矩框架建筑的广泛数据库，以开发分析驱动的设计方法。
An end-to-end computational platform is presented, which automates seismic design, nonlinear structural model construction, and response simulation (static and dynamic) of steel moment resisting frames. A modular framework is adopted along with the object-oriented programming paradigm to ensure the adaptability of the platform. The seismic design module iteratively generates code-conforming section sizes and detailing for beams, columns, and beam-column connections based on the relevant input design variables including the building configuration (e.g., the number of stories, the number of lateral-force resisting systems, and the building dimensions), loads (e.g., dead and live loads on each floor), and site conditions (mapped spectral acceleration parameters). The nonlinear model construction and analysis module takes the design results as input and produces structural models that capture flexural strength and stiffness deterioration in the frame beam-column elements, and performs pushover and response history analyses. Illustrative examples are presented to demonstrate the reliability, accuracy, and efficiency of the platform, which significantly reduces the time and effort involved in producing iterative structural designs and conducting nonlinear analyses, both of which are necessary for performance-based seismic design. Additionally, the platform can be used to create an extensive database of archetype steel moment frame buildings towards the development of analytics-driven design methods.