亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Mechanical behavior of gap-graded soil subjected to internal erosion: comparison of suffusion and concentrated erosion

内腐蚀 腐蚀 岩土工程 材料科学 剪切(地质) 直剪试验 刚度 复合材料 地质学 地貌学
作者
Yang Yang,Jigang Jiang,Chao Xu,Wuwei Mao
出处
期刊:European Journal of Environmental and Civil Engineering [Taylor & Francis]
卷期号:28 (6): 1230-1244 被引量:4
标识
DOI:10.1080/19648189.2023.2247043
摘要

AbstractInternal erosion causes massive damage to the soil local and integral fabric with loss of fine particles. In order to further compare the mechanical consequence of different internal erosion scenarios, a series of dissolution tests were designed to simulate suffusion and concentrated erosion by using small amounts of salt particles. For both salt-free clean sand specimens and erodible salt-sand specimens, drained triaxial compression tests combined with bender element measurement were performed to evaluate the degradation of stiffness and strength after internal erosion. Experimental results showed that the shear wave velocity decreased during water saturation. The concentrated erosion resulted more reduction in the shear wave velocity compared to suffusion at same mass erosion fraction of 1%. In general, all the relevant mechanical parameters, e.g. shear wave velocity, peak shear strength and volumetric strain, showed more significant decreasing characteristics in case of concentrated erosion, which indicated that concentrated erosion at key local positions would lead to more critical damage to the soil fabric.Keywords: Gap-graded soilinternal erosionsuffusionbender elementtriaxial test Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Data availability statementAll the data used in this study are available within the article.Additional informationFundingThis research was supported by the National Natural Science Foundation of China [Grant No. 42002273, 42172297].

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
lb001发布了新的文献求助10
3秒前
文文发布了新的文献求助10
3秒前
xueguo0001发布了新的文献求助10
5秒前
天才J完成签到,获得积分10
6秒前
刘庭杨发布了新的文献求助30
8秒前
阿找找完成签到,获得积分10
10秒前
10秒前
李健应助纪年采纳,获得20
11秒前
13秒前
MeiyanZou发布了新的文献求助10
14秒前
李爱国应助文文采纳,获得10
15秒前
Wh1spers完成签到 ,获得积分10
16秒前
16秒前
xueguo0001完成签到,获得积分10
18秒前
何梓怡发布了新的文献求助10
19秒前
心好塞发布了新的文献求助10
19秒前
23秒前
27秒前
TiTIka发布了新的文献求助10
29秒前
何梓怡完成签到,获得积分10
38秒前
Singularity应助一桶采纳,获得10
46秒前
Jasper应助El采纳,获得10
52秒前
55秒前
大模型应助dqbhxwx采纳,获得10
56秒前
1分钟前
1分钟前
1分钟前
Hello应助飞飞采纳,获得10
1分钟前
纪年发布了新的文献求助20
1分钟前
1分钟前
dqbhxwx发布了新的文献求助10
1分钟前
1分钟前
不器完成签到 ,获得积分10
1分钟前
树树完成签到,获得积分10
1分钟前
今后应助El采纳,获得10
1分钟前
effervescence完成签到,获得积分10
1分钟前
molihuakai应助清秀初晴采纳,获得10
1分钟前
完美世界应助wuyun9653采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362049
求助须知:如何正确求助?哪些是违规求助? 8175712
关于积分的说明 17223995
捐赠科研通 5416769
什么是DOI,文献DOI怎么找? 2866561
邀请新用户注册赠送积分活动 1843771
关于科研通互助平台的介绍 1691516