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引用本文的文献

1
Application of Feedforward Neural Network and SPT Results in the Estimation of Seismic Soil Liquefaction Triggering.前馈神经网络与 SPT 结果在地震土液化触发估计中的应用。
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2
The use of the SPT-based seismic soil liquefaction triggering evaluation methodology in engineering hazard assessments.基于标准贯入试验(SPT)的地震土壤液化触发评估方法在工程灾害评估中的应用。
MethodsX. 2018 Nov 27;5:1556-1575. doi: 10.1016/j.mex.2018.11.016. eCollection 2018.

基于标准贯入试验的地震土壤液化数据集。

Dataset on SPT-based seismic soil liquefaction.

作者信息

Cetin K Onder, Seed Raymond B, Kayen Robert E, Moss Robb E S, Bilge H Tolga, Ilgac Makbule, Chowdhury Khaled

机构信息

Dept. of Civil Engineering, Middle East Technical University, Ankara, Turkey.

Dept. of Civil and Environmental Engineering, University of California, Berkeley, CA, USA.

出版信息

Data Brief. 2018 Aug 22;20:544-548. doi: 10.1016/j.dib.2018.08.043. eCollection 2018 Oct.

DOI:10.1016/j.dib.2018.08.043
PMID:30191167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6126194/
Abstract

This data article provides a summary of seismic soil liquefaction triggering and non-triggering case histories, which were compiled, screened for data completeness and quality, and then processed for the development of triggering relationships proposed in "SPT-based probabilistic and deterministic assessment of seismic soil liquefaction triggering hazard" [1]. The database is composed of 113 liquefaction, 95 non-liquefaction, and 2 marginal liquefaction case histories, from seismic events with moment magnitude M values varying in the range of 5.9 to 8.3. A spreadsheet summary of these case histories are included along with a separate spreadsheet, by which maximum likelihood assessment was performed. These data transparently enable researchers to access case history input parameters and processing details, and to compare the case history processing protocols with the ones of different researchers (e.g.: "The influence of SPT procedures in soil liquefaction resistance evaluations." [2], "SPT-based liquefaction triggering procedures." [3]).

摘要

本文提供了地震土液化触发和未触发案例历史的总结,这些案例历史经过汇编、筛选以确保数据完整性和质量,然后用于开发《基于标准贯入试验的地震土液化触发危险性概率和确定性评估》[1]中提出的触发关系。该数据库由113个液化案例、95个非液化案例和2个边缘液化案例历史组成,这些案例来自矩震级M值在5.9至8.3范围内的地震事件。这些案例历史的电子表格总结以及一个单独的电子表格一同提供,通过该单独表格进行了最大似然评估。这些数据使研究人员能够透明地获取案例历史输入参数和处理细节,并将案例历史处理协议与不同研究人员的协议进行比较(例如:《标准贯入试验程序在土抗液化评估中的影响》[2]、《基于标准贯入试验的液化触发程序》[3])。