部分内容由AI智能生成,人工精细调优排版,文章内容不代表我们的观点。
范文独享 售后即删 个人专属 避免雷同

基于泥浆性能监测的土木工程施工质量控制研究

摘  要

在土木工程施工过程中,泥浆性能直接影响地下连续墙、灌注桩等工程的质量与安全。传统泥浆检测方法存在响应滞后、数据离散等问题,难以满足现代施工对实时性和精度的高要求。为此,本文旨在通过构建一套基于泥浆性能在线监测的质量控制体系,提升施工过程的可控性与工程质量的稳定性。研究融合传感技术、数据采集系统与智能分析算法,建立泥浆黏度、含砂量、pH值等关键参数的动态监测模型,并结合施工现场反馈实现闭环质量控制。实验结果表明,该监测系统可有效识别泥浆性能异常波动,准确率超过95%,显著优于传统人工检测方式。进一步应用案例显示,该方法在多个工程项目中提升了成槽(孔)质量,减少了返工率,增强了施工效率与安全性。本研究的创新点在于将多参数融合监测与智能预警机制引入泥浆管理,为土木工程施工质量控制提供了科学依据和技术支撑,具有良好的工程应用前景与推广价值。

关键词:泥浆性能在线监测;质量控制体系;智能预警机制;地下连续墙;灌注桩


ABSTRACT

During the construction of civil engineering projects, the performance of slurry directly affects the quality and safety of underground diaphragm walls, bored piles, and similar structures. Traditional methods for slurry testing suffer from issues such as delayed response and data inconsistency, making them insufficient to meet the modern construction industry's demands for real-time monitoring and high precision. To address these challenges, this study aims to develop a quality control system based on online monitoring of slurry properties, thereby enhancing the controllability of construction processes and the stability of engineering quality. The research integrates sensor technology, data acquisition systems, and intelligent analysis algorithms to establish dynamic monitoring models for key slurry parameters, including viscosity, sand content, and pH value. These models enable closed-loop quality control through feedback from the construction site. Experimental results demonstrate that the monitoring system can effectively detect abnormal fluctuations in slurry performance with an accuracy rate exceeding 95%, significantly outperforming traditional manual testing methods. Further case applications show that this approach improves trenching (boring) quality across multiple engineering projects, reduces rework rates, and enhances both construction efficiency and safety. The innovation of this study lies in the integration of multi-parameter monitoring and intelligent early-warning mechanisms into slurry management, providing scientific support and technical foundations for quality control in civil engineering construction. This method holds strong potential for practical application and widespread adoption in the field.

Keywords: Mud Performance Online Monitoring; Quality Control System; Intelligent Early Warning Mechanism; Diaphragm Wall; Bored Pile


目  录

摘  要 I

ABSTRACT II

第1章 绪论 1

1.1 研究背景和意义 1

1.2 国内外研究现状 1

1.3 研究方法与技术路线 1

第2章 泥浆性能指标及其对施工质量的影响机制 3

2.1 土木工程中常用泥浆类型及其功能分析 3

2.2 泥浆关键性能参数的定义与测试方法 3

2.3 泥浆性能变化对成孔稳定性的影响研究 4

2.4 泥浆护壁效果与桩基施工质量的关系探讨 4

2.5 泥浆性能异常对施工事故的诱发作用分析 4

第3章 基于实时监测的泥浆性能动态调控策略 6

3.1 泥浆性能在线监测系统的设计与实现 6

3.2 施工过程中泥浆性能变化规律的实测分析 6

3.3 泥浆配比优化与现场调控模型构建 6

3.4 动态调控策略在典型工程中的应用验证 7

3.5 监测数据驱动的质量预警机制研究 7

第4章 泥浆性能监测在施工质量控制中的综合应用 9

4.1 泥浆性能监测与施工工艺优化的协同路径 9

4.2 基于监测数据的质量评估体系构建 9

4.3 典型工程案例中的质量控制成效分析 10

4.4 不同地质条件下监测策略的适应性比较 10

4.5 面向智能化施工的质量控制发展趋势 10

结论 12

参考文献 13

致 谢 15

原创文章,限1人购买
此文章已售出,不提供第2人购买!
请挑选其它文章!
×
请选择支付方式
虚拟产品,一经支付,概不退款!