基于深度学习的地震诱发地震动记录质量评估模型

IF 3.1 2区 工程技术 Q2 ENGINEERING, CIVIL
Michael Dupuis, Claudio Schill, Robin Lee, Brendon Bradley
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引用次数: 1

摘要

工程和地震学的各种应用都需要高质量的地震地震动记录;然而,地面运动记录的质量评估如果手工完成,并且使用传统的数学函数进行自动化处理,则非常耗时。机器学习非常适合这个问题,并且开发了一个基于监督的深度学习模型,通过训练来自新西兰地震的1096个示例记录来估计所有类型的地面运动记录的质量,新西兰是一个活跃的构造环境,有地壳和俯冲地震。该模型估计每个记录组件的质量和最小可用频率,并且可以处理一个、两个或三个组件的记录。评估结果与人工标记的测试数据很好地匹配,并且该模型能够准确地复制基于三种不同工程应用需求的其他已发表研究的人工质量分类。组件级质量和最小可用频率评估提供了基于不同需求评估记录质量的灵活性,并使该模型对一系列潜在的应用程序有用。我们应用该模型实现了对来自GeoNet的43398次地面运动的自动记录分类,这是新西兰新的地面运动数据库开发的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A deep-learning-based model for quality assessment of earthquake-induced ground-motion records
High-quality earthquake ground-motion records are required for various applications in engineering and seismology; however, quality assessment of ground-motion records is time-consuming if done manually and poorly handled by automation with conventional mathematical functions. Machine learning is well suited to this problem, and a supervised deep-learning-based model was developed to estimate the quality of all types of ground-motion records through training on 1096 example records from earthquakes in New Zealand, which is an active tectonic environment with crustal and subduction earthquakes. The model estimates a quality and minimum usable frequency for each record component and can handle one-, two-, or three-component records. The estimations were found to match manually labeled test data well, and the model was able to accurately replicate manual quality classifications from other published studies based on the requirements of three different engineering applications. The component-level quality and minimum usable frequency estimations provide flexibility to assess record quality based on diverse requirements and make the model useful for a range of potential applications. We apply the model to enable automated record classification for 43,398 ground motions from GeoNet as part of the development of a new curated ground-motion database for New Zealand.
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来源期刊
Earthquake Spectra
Earthquake Spectra 工程技术-工程:地质
CiteScore
8.40
自引率
12.00%
发文量
88
审稿时长
6-12 weeks
期刊介绍: Earthquake Spectra, the professional peer-reviewed journal of the Earthquake Engineering Research Institute (EERI), serves as the publication of record for the development of earthquake engineering practice, earthquake codes and regulations, earthquake public policy, and earthquake investigation reports. The journal is published quarterly in both printed and online editions in February, May, August, and November, with additional special edition issues. EERI established Earthquake Spectra with the purpose of improving the practice of earthquake hazards mitigation, preparedness, and recovery — serving the informational needs of the diverse professionals engaged in earthquake risk reduction: civil, geotechnical, mechanical, and structural engineers; geologists, seismologists, and other earth scientists; architects and city planners; public officials; social scientists; and researchers.
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