A novel approach for assessment of seismic induced liquefaction susceptibility of soil

IF 1.3 4区地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Earth System Science Pub Date : 2024-07-02 DOI:10.1007/s12040-024-02341-z

Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Rahul Biswas, Sai Vanapalli

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引用次数: 0

Abstract

Liquefaction is one of the natural hazards that occurs due to earthquakes and has a significant impact on the loss of human lives and various civil infrastructures. In this study, metaheuristic ANN with optimization techniques (i.e., ANN-GWO, ANN-GTO, ANN-GAO, ANN-HHO, ANN-SSA, and ANN-SMA), machine learning techniques are used to predict the probability of liquefaction (\({P}_{L}\)) from the SPT-based dataset. A dataset of 834 case histories, including seven geotechnical and seismic parameters, was used for training and testing different metaheuristic algorithms. The performance of the proposed machine learning algorithm used at every stage of analysis includes statistical parameters evaluation, score analysis, actual vs. predicted curve, error matrix, Taylor diagram, OBJ criteria, DDR criteria, and AIC criteria. The ANN-GTO model has been found to be the best model for the prediction of the probability of liquefaction potential of soil. However, all proposed models can successfully predict the liquefaction potential of soil with reasonably good accuracy. The proposed models can be used as a key tool in the prediction of the liquefaction susceptibility of any soil deposit.

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评估地震诱发土壤液化敏感性的新方法

液化是地震造成的自然灾害之一，对人类生命和各种民用基础设施的损失有重大影响。在这项研究中，元启发式优化 ANN（即 ANN-GWO、ANN-GTO、ANN-GAO、ANN-HHO、ANN-SSA 和 ANN-SMA）和机器学习技术被用来预测基于 SPT 数据集的液化概率（\({P}_{L}\)）。834 个案例数据集包括七个岩土和地震参数，用于训练和测试不同的元启发式算法。所提出的机器学习算法在每个分析阶段的性能包括统计参数评估、得分分析、实际与预测曲线、误差矩阵、泰勒图、OBJ 标准、DDR 标准和 AIC 标准。研究发现，ANN-GTO 模型是预测土壤液化潜势概率的最佳模型。然而，所有提出的模型都能成功地预测土壤的液化潜势，且准确度相当高。所提出的模型可作为预测任何土壤沉积液化敏感性的重要工具。

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来源期刊

Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences

CiteScore

3.20

自引率

5.30%

发文量

226

期刊介绍： The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.