Study on Evaluation and Prediction Model of Long-term Mechanical Properties of Fine-grained Saline Soil Subgrade

路基 期限(时间) 岩土工程 地质学 环境科学 土壤科学 物理 量子力学
作者
Ruheiyan Muhemaier,Mao Wei,Xuejun Liu,Liangfu Xie,Ren Zulin
出处
期刊:European journal of computational mechanics [River Publishers]
卷期号:: 483-506 被引量:2
标识
DOI:10.13052/ejcm2642-2085.3353
摘要

In this thorough examination, we dive deep into the long-lasting mechanical characteristics of fine-grained saline soil subgrades, aspiring to establish a precise and reliable collection of predictive models. Our objective is to provide a solid scientific footing for the design and ongoing upkeep of road networks within saline soil environments. Analyzing prolonged monitoring data across diverse highway subgrades within a prototypical saline soil locale, we unveil the intricate temporal fluctuations and environmental sensitivities of the soil’s mechanical properties under continuous load. Precisely, the subgrade’s compressive modulus dwindled by 15%, while shear strength declined by 8% over a five-year period. These trends intensify during rainy and scorching seasons, with drops surpassing 20% and 12% respectively. Leveraging this intricate data, we deploy nonlinear regression analysis and sophisticated machine learning algorithms to construct a predictive model tailored for the long-term mechanical properties of fine-grained saline soil roadbeds. This model integrates a multitude of factors, including load duration, temperature, humidity, and more, delivering accurate forecasts of key subgrade indicators like compressive modulus, shear strength, and beyond. In the verification stage, compared with the measured data, the error rate of the model prediction results is controlled within 5%, showing high prediction accuracy and stability. In addition, we also carried on the sensitivity analysis to the model, found that the load size and the duration of the impact on the mechanical properties of the roadbed is the most significant. Therefore, in the design of road engineering in saline soil areas, the influence of these factors should be fully considered, and reasonable engineering measures should be taken to ensure the safety and durability of roads. This study not only provides effective data support for the long-term mechanical performance evaluation of fine-grained saline soil roadbed, but also provides an important theoretical reference for engineering practice in related fields.
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
1秒前
mariawang发布了新的文献求助10
1秒前
2秒前
2秒前
3秒前
怡宝完成签到,获得积分10
3秒前
Myl发布了新的文献求助20
4秒前
WN发布了新的文献求助10
4秒前
肥仔发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
雯雯少发布了新的文献求助20
8秒前
zyg发布了新的文献求助10
8秒前
Wang_ZiMo发布了新的文献求助10
9秒前
9秒前
王权发布了新的文献求助30
9秒前
lww发布了新的文献求助10
12秒前
13秒前
小白科研完成签到,获得积分20
14秒前
小马甲的应助被粉红三倍速采纳,获得10
14秒前
JamesPei的应助被健壮土豆采纳,获得10
14秒前
蒸鱼鱼发布了新的文献求助100
15秒前
阿奥完成签到 ,获得积分10
16秒前
我是老大的应助被粉红三倍速采纳,获得10
17秒前
18秒前
18秒前
肖子瑶发布了新的文献求助10
19秒前
田様的应助被粉红三倍速采纳,获得10
20秒前
21秒前
21秒前
我是老大的应助被杨子墨采纳,获得10
21秒前
林泽溪完成签到 ,获得积分10
22秒前
自由笙发布了新的文献求助10
22秒前
22秒前
22秒前
蟹bro发布了新的文献求助10
23秒前
24秒前
25秒前
善良凌波发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Production Logging: Theoretical and Interpretive Elements 400
English Longitudinal Study of Ageing: Waves 0-11, 1998-2024 300
2026-2030年中國基因檢測行業市場前瞻與未來投資戰略分析報告 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7827381
求助须知:如何正确求助?哪些是违规求助? 9353078
关于积分的说明 20570529
捐赠科研通 7420396
什么是DOI,文献DOI怎么找? 3335557
关于科研通互助平台的介绍 2480378
邀请新用户注册赠送积分活动 2355945