Sand stiffness variability induced by stochastic distributions of calcite precipitates: a Monte Carlo-DEM study

IF 5.6 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Meng Sun, Pengfei Liu, Yuxuan Chen, Bate Bate, Fan Xue
{"title":"Sand stiffness variability induced by stochastic distributions of calcite precipitates: a Monte Carlo-DEM study","authors":"Meng Sun,&nbsp;Pengfei Liu,&nbsp;Yuxuan Chen,&nbsp;Bate Bate,&nbsp;Fan Xue","doi":"10.1007/s11440-025-02539-5","DOIUrl":null,"url":null,"abstract":"<div><p>The inclusion of calcite precipitates (CaCO<sub>3</sub>) in soft soil can improve the mechanical properties. Understanding the variability in sand stiffness due to heterogeneous precipitates is crucial for stiffness evaluation and prediction. A novel discrete element-Monte Carlo (DE-MC) method was proposed to quantify the sand stiffness variability induced by stochastic distributions of calcite precipitates, specifically focusing on shear wave velocity (<i>V</i><sub>s</sub>) as an indicator of soil stiffness. A total of 1972 samples were constructed to simulate stochastic spatial distributions of calcite precipitates. Through joint stochastic analysis, the preferential paths formed by calcite clusters were identified as significant contributors to <i>V</i><sub>s</sub> variability. The normalized connectivity per unity distance contact weight (<i>C</i><sub><i>d,n</i></sub>) exhibited the most correlated relation with <i>V</i><sub>s</sub>. Two weight selection methods were applicable for using <i>C</i><sub><i>d,n</i></sub> to characterize and predict <i>V</i><sub>s</sub>. The results suggest that the DE-MC method has the potential to assess the variability in sand stiffness quantitatively.</p></div>","PeriodicalId":49308,"journal":{"name":"Acta Geotechnica","volume":"20 3","pages":"1363 - 1377"},"PeriodicalIF":5.6000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geotechnica","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11440-025-02539-5","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The inclusion of calcite precipitates (CaCO3) in soft soil can improve the mechanical properties. Understanding the variability in sand stiffness due to heterogeneous precipitates is crucial for stiffness evaluation and prediction. A novel discrete element-Monte Carlo (DE-MC) method was proposed to quantify the sand stiffness variability induced by stochastic distributions of calcite precipitates, specifically focusing on shear wave velocity (Vs) as an indicator of soil stiffness. A total of 1972 samples were constructed to simulate stochastic spatial distributions of calcite precipitates. Through joint stochastic analysis, the preferential paths formed by calcite clusters were identified as significant contributors to Vs variability. The normalized connectivity per unity distance contact weight (Cd,n) exhibited the most correlated relation with Vs. Two weight selection methods were applicable for using Cd,n to characterize and predict Vs. The results suggest that the DE-MC method has the potential to assess the variability in sand stiffness quantitatively.

Abstract Image

方解石沉淀随机分布引起的砂刚度变化:Monte Carlo-DEM研究
方解石沉淀(CaCO3)在软土中的包裹体可以改善软土的力学性能。了解由于非均质沉淀物引起的砂土刚度变化对于刚度评估和预测至关重要。提出了一种新的离散元-蒙特卡罗(DE-MC)方法来量化方解石沉淀随机分布引起的砂土刚度变化,特别关注剪切波速(Vs)作为土壤刚度的指标。利用1972个样品模拟方解石沉淀的随机空间分布。通过联合随机分析,确定方解石簇形成的优先路径是Vs变异的重要贡献者。单位距离接触权(Cd,n)的归一化连通性与vs的相关性最大,两种权值选择方法均适用于Cd,n表征和预测vs。结果表明,DE-MC方法具有定量评估砂土刚度变异性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Acta Geotechnica
Acta Geotechnica ENGINEERING, GEOLOGICAL-
CiteScore
9.90
自引率
17.50%
发文量
297
审稿时长
4 months
期刊介绍: Acta Geotechnica is an international journal devoted to the publication and dissemination of basic and applied research in geoengineering – an interdisciplinary field dealing with geomaterials such as soils and rocks. Coverage emphasizes the interplay between geomechanical models and their engineering applications. The journal presents original research papers on fundamental concepts in geomechanics and their novel applications in geoengineering based on experimental, analytical and/or numerical approaches. The main purpose of the journal is to foster understanding of the fundamental mechanisms behind the phenomena and processes in geomaterials, from kilometer-scale problems as they occur in geoscience, and down to the nano-scale, with their potential impact on geoengineering. The journal strives to report and archive progress in the field in a timely manner, presenting research papers, review articles, short notes and letters to the editors.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信