Study on the deterioration of concrete performance in saline soil area under the combined effect of high low temperatures, chloride and sulfate salts

硫酸盐 材料科学 氯化物 水泥 腐蚀 粉煤灰 土壤盐分 腐蚀 多孔性 含水量 玄武岩纤维 复合材料 岩土工程 纤维 冶金 土壤科学 土壤水分 环境科学 地质学 古生物学
作者
Daming Luo,Fan Li,Ditao Niu
出处
期刊:Cement & Concrete Composites [Elsevier BV]
卷期号:150: 105531-105531 被引量:95
标识
DOI:10.1016/j.cemconcomp.2024.105531
摘要

Concrete structures in saline soil regions are prone to degradation due to chloride and sulfate erosion, compounded by the concurrent influences of drying, high and low temperatures, and freeze-thaw cycles. This study establishes a simulation test system for complex saline soil environments, integrating findings from real-world environmental investigations. The investigation focused on the degradation mechanism of concrete under the combined impacts of dry-wet and high-low temperature cycles, coupled with composite salt erosion. Additionally, the impacts of water-cement ratio, fly ash content, and basalt fiber content on concrete's mechanical properties and ion erosion resistance were analyzed. The alterations in the internal pore structure of corroded concrete were examined through nuclear magnetic resonance (NMR) technology. Utilizing the XGBoost algorithm, a predictive model for chloride and sulfate ion concentrations in concrete, under the combined influence of dry-wet and high-low temperature cycles, coupled with composite salt erosion, was developed. The findings reveal that the rate of concrete deterioration is gradually accelerating under the combined erosion to dry-wet cycles, high-low temperature cycles, and composite salt. Optimal fly ash and basalt fiber dosages for corrosion resistance are determined to be 10% and 0.10%, respectively. During advanced erosion stages, concrete porosity, capillary and macropore volume fractions increase, while gel pore volume fraction declines significantly. The XGBoost-based chloride and sulfate concentration prediction model demonstrates strong agreement with experimental measurements, yielding correlation indices of R2 = 0.98 and 0.97, respectively. Interpretation results obtained using SHAP from the machine learning model align with experimental outcomes.
最长约 10秒,即可获得该文献文件

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
李爱国应助blackhawkwu采纳,获得10
刚刚
星辰大海应助铜锣烧采纳,获得10
1秒前
故意的山河完成签到,获得积分10
1秒前
anting发布了新的文献求助10
1秒前
爆米花应助斯文的白玉采纳,获得10
2秒前
245254346完成签到,获得积分20
2秒前
风趣的洙应助feishxixi采纳,获得10
3秒前
qi完成签到 ,获得积分10
4秒前
虚幻采波发布了新的文献求助10
4秒前
wjx发布了新的文献求助10
5秒前
科研通AI6.2应助slsdy采纳,获得10
5秒前
tt完成签到,获得积分10
5秒前
6秒前
研友_LavApn发布了新的文献求助10
7秒前
7秒前
呆呆桃完成签到,获得积分10
7秒前
7秒前
7秒前
滴滴完成签到,获得积分10
8秒前
CodeCraft应助坦率的匪采纳,获得10
8秒前
啵啵应助水煮鱼采纳,获得10
8秒前
Monster完成签到,获得积分10
9秒前
9秒前
10秒前
电解质发布了新的文献求助10
11秒前
大葡萄发布了新的文献求助30
11秒前
大模型应助温乘云采纳,获得10
12秒前
科研通AI6.3应助白术采纳,获得10
12秒前
领导范儿应助tt采纳,获得10
12秒前
13秒前
1点点完成签到,获得积分10
13秒前
14秒前
scabbard24发布了新的文献求助10
14秒前
Augenstern发布了新的文献求助30
14秒前
14秒前
wanci应助小何采纳,获得10
15秒前
Akim应助大葡萄采纳,获得10
15秒前
牛豁完成签到,获得积分10
16秒前
复杂的无极完成签到,获得积分10
16秒前
yeziio完成签到,获得积分10
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7524078
求助须知:如何正确求助?哪些是违规求助? 9110805
关于积分的说明 19455417
捐赠科研通 7127041
什么是DOI,文献DOI怎么找? 3255212
关于科研通互助平台的介绍 2423273
邀请新用户注册赠送积分活动 2242205