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
科目三应助何首乌采纳,获得10
1秒前
神烦狗完成签到,获得积分10
1秒前
清酒甘茶完成签到,获得积分10
1秒前
旺旺碎冰冰完成签到,获得积分10
2秒前
yao完成签到,获得积分10
2秒前
3秒前
今后应助一心扑在搞学术采纳,获得10
3秒前
陆小果完成签到,获得积分10
3秒前
hy完成签到 ,获得积分10
4秒前
5秒前
5秒前
Gyy发布了新的文献求助10
5秒前
ChiahaoKuo完成签到 ,获得积分10
5秒前
黄紫红完成签到 ,获得积分10
5秒前
rio发布了新的文献求助10
8秒前
Orange应助邢现良采纳,获得10
9秒前
9秒前
风格化橙发布了新的文献求助10
10秒前
小方啦啦啦完成签到,获得积分10
11秒前
11秒前
11秒前
Rainyin给Rainyin的求助进行了留言
12秒前
科研通AI6.4应助zz采纳,获得10
13秒前
阔达的背包完成签到 ,获得积分10
13秒前
科目三应助傲娇尔安采纳,获得10
13秒前
隐形曼青应助ycd采纳,获得10
13秒前
14秒前
15秒前
15秒前
标致远锋完成签到 ,获得积分10
15秒前
NexusExplorer应助Barbet采纳,获得10
16秒前
yang发布了新的文献求助10
16秒前
16秒前
Akim应助hky采纳,获得10
18秒前
考拉完成签到,获得积分10
18秒前
李健应助Ming采纳,获得10
18秒前
郭雨非发布了新的文献求助10
20秒前
20秒前
咕咕发布了新的文献求助10
20秒前
一心扑在搞学术完成签到,获得积分10
21秒前
高分求助中
The Graphene Handbook (2019 Edition) 800
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
久松真一著作集〈第5巻〉禅と芸術 500
Fundamentals of Modern Mathematics: A Practical Review (Dover Books on Mathematics) 500
Cold War Transcended: Australia's China Policy, 1949-1990 470
Comprehensive Organic Synthesis 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 6596932
求助须知:如何正确求助?哪些是违规求助? 8366841
关于积分的说明 17909700
捐赠科研通 5749694
什么是DOI,文献DOI怎么找? 2953219
邀请新用户注册赠送积分活动 1928537
关于科研通互助平台的介绍 1822447