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首页> 外文期刊>Advances in Engineering Software >SelEQ.: An advanced ground motion record selection and scaling framework
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SelEQ.: An advanced ground motion record selection and scaling framework

机译:SelEQ .:先进的地面运动记录选择和缩放框架

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The consensual agreement that ground motion record selection plays an important role in the non-linear dynamic structural response has contributed to numerous research studies seeking the definition of accurate ground motion record selection techniques. However, most of the available tools only allow for record selection based on spectral compatibility between the mean response spectrum of a record suite and a target response spectrum. This paper presents SelEQ, a fully integrated framework that implements state-of-the art procedures for ground motion record selection and scaling. In addition to typical record selection procedures, SelEQ allows obtaining the Conditional Mean Spectrum (CMS) for the European territory, the latter making use of the open source platform OpenQuake and the recently proposed SHARE seismic hazard model. This important feature allows state-of-the-art record selection for probabilistic-based assessment and risk analysis. SelEQ incorporates a number of procedures available in the literature that facilitate preliminary record selection (e.g. disaggregation for a specific site) and that allow advanced selection criteria (e.g. control of mismatch of individual ground motion records). The framework makes use of the Adaptive Harmony Search meta-heuristic optimization algorithm in order to significantly minimize computational cost and analysis time, whilst still meeting the imposed selection constraints. Application examples of the framework indicate that it can accurately select suites of ground motion records for code-based and probabilistic-based seismic assessment.
机译:地面运动记录选择在非线性动力结构响应中起着重要作用的共识,为寻求精确地面运动记录选择技术定义的众多研究做出了贡献。但是,大多数可用工具仅允许基于记录套件的平均响应光谱与目标响应光谱之间的光谱兼容性进行记录选择。本文介绍了SelEQ,这是一个完全集成的框架,可实现有关地面运动记录选择和缩放的最新程序。除了典型的记录选择程序外,SelEQ还可以获取欧洲领土的条件平均频谱(CMS),后者使用开源平台OpenQuake和最近提出的SHARE地震灾害模型。这一重要功能允许选择最先进的记录,以进行基于概率的评估和风险分析。 SelEQ结合了许多文献中可用的程序,这些程序有助于初步记录选择(例如,特定地点的分解)并允许高级选择标准(例如,控制各个地面运动记录的不匹配)。该框架利用自适应和声搜索元启发式优化算法,以显着最小化计算成本和分析时间,同时仍然满足所施加的选择约束。该框架的应用示例表明,它可以准确地选择地面运动记录套件,以进行基于代码和基于概率的地震评估。

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