谈路基压实度的控制

结合工程实践,对压实度检测的方法及注意事项进行了分析,研究出影响压实效果的因素主要是含水量、碾压厚度、压实功能与土质,并依据此提出了现场压实度的控制方法,以确保路基质量。     

压实度实时检测方法

路面的压实度的好坏直接影响着路面的质量和使用寿命,有效的压实能够显著的提高路面的稳定性及承载能力。压实度实时检测技术可以实时准确的检测被压材料的压实状况,改变压路机的工作参数,使压路机进行高效高质量的作业。本文主要研究了压实度实时检测的方法。     

公路路基压实度影响因素及检测技术对比分析

在公路工程施工中,压实度是路基施工质量优劣的重要判别标准,压实程度不够容易导致路基出现过早损坏现象,因此对压实度进行确切地检测是保证路基质量控制行之有效的方法。从压实度的概念及其影响因素入手,借鉴现有的压实度检测方法及检测规范,对其操作原理、优缺点、适用范围进行了分析,并对比之间的相关性与差异性,给出了不同施工条件及环境下压实度检测方法作为参照,以期为实际工程应用提供参考。     

土石混合路基检测方法研究

在分析目前各种路基压实影响因素、施工过程及检测技术特点的基础上,针对土石混合料颗粒组成和含水状态极不均匀的特点,引入最佳含水量系数对最大干容重的理论计算法进行了改进,探讨了用空隙率控制法和不同粗集料含量下改进的工地压实度控制方法作为土石混合料压实质量控制标准的可行性。     

压实度检测在市政路基质量控制中的应用与比较

市政道路路基压实度质量控制过程中大多采用灌砂法、环刀法、落锤频谱仪这三种检测方法。本文通过这三种方法,在现场实地进行对比试验分析,通过实验来了解这三种压实度检测方法之间的紧密联系以及相关性,以此判断出效率更高的检测方法;并从保障市政道路路基质量的角度入手,分析三种压实度现行检测方法,体现压实度检测方法在市政道路路基质量控制中所具有的重要性,并对检测方法的注意事项进行分析。     

山区土石料压实标准及其应用

山区土石料颗粒组成和含水状态极不均匀,在填方压实施工中往往难以压实且压实不均匀,沿用常规的压实质量控制标准,难以达到预期的控制效果。空隙率控制法和不同粗集料含量下以压实度作为工地压实质量控制的改进方法从不同角度提出了压实质量控制标准,工程实例表明,两种方法能在一定程度上取得较好的控制效果。与前两种方法相比,贯入法评定压实质量具有快速简便的优点,将其推广为标准的压实检测方法,还需进一步研究并结合实体工程进行验证。     

对公路工程路基压实度检测的认识

通过对路基压实度检测方法的介绍,重点分析了影响灌砂法检测路基压实度准确性的各个相关因素,结合实践,总结出灌砂法检测路基压实度的控制要点,以得出精确的压实度值,真正保证公路路基施工质量。     

压实度检测在市政路基质量控制中的应用与比较

在市政道路路基质量控制中,通过灌砂法、环刀法、落锤频谱仪法三种压实度检测方法之间的现场实地比对试验,通过分析这三种压实度检测方法的相关性,找到更有效率的检测方法,保证市政道路路基的质量。分析了城市道路路基质量控制中十分重要的检测指标压实度的现行检测方法,比较压实度指标不同检测方法的适用性。     

高速公路土石混填路基的压实度检测

结合工作经验,对高速公路土石混填路基常用的密度法、波法等压实度检测方法进行了介绍,重点对含石率和压实度进行了计算分析,指出在实际检测过程中,要严格对待每一检测环节,以确保高速公路工程的整体质量。     

土石混填路基压实度检测方法综述

分析了公路路基检测的重要性,对现有的压实度检测方法进行了介绍,并讨论了检测方法的优缺点及其适用范围,指出对于路基的无损压实度检测是未来压实度检测方法的发展方向。     

Compaction quality assessment of earth-rock dam materials using roller-integrated compaction monitoring technology

The compaction quality of earth-rock dams is normally controlled through compaction parameters (i.e., compaction passes, roller velocity, vibration status, and compacted thickness) during construction and random spot tests after construction. However, using limited spot samples to represent the construction quality of the entire work area can be unreliable and misleading. Additionally, given the time-consuming process, the spot testing method leads to delays in rectifying compaction quality issues at the jobsite. This research utilized roller-integrated compaction monitoring (RICM) technology combined with real-time kinematic global positioning systems (RTK-GPS), adopted compaction value (CV) as a real-time monitoring index for the dam compaction quality, and subsequently proposed a CV-based assessment method to estimate the compaction quality of earth-rock dam materials. Furthermore, the Kriging interpolation method was adopted to obtain estimates for both CVs and compaction quality at any location on the working area, enabling the analysis of the passing rate of compaction quality for the entire work area. A case study on the NZD Project in China indicated that the CV is highly correlated with the compaction parameters, the compactness of the gravel-mixed cohesive soil, and the dry density of rock-fill dam materials; therefore, it can serve as a reliable index for monitoring compaction quality. Quick and continuous assessments of compaction quality on the entire work area can be achieved using the proposed method, which provides a basis for informing the construction with timely feedback information to effectively avoid quality defects and to improve the construction quality of earth-rock dams.     

Technology and application of real-time compaction quality monitoring for earth-rockfill dam construction in deep narrow valley

Compaction quality is one of the most important aspects of the construction quality control of earth-rockfill dams. In recent years, real-time compaction quality monitoring technology based on a global navigation satellite system (GNSS) for earth-rockfill dams has realized effective control for earth-rockfill dam construction quality. However, many high earth-rockfill dams have been built in deep, narrow valleys, where the satellite signal is blocked by the tall, steep slopes such that the accuracy of the location is not satisfactory or that determining the location is fully impossible, thus seriously affecting the continuity and accuracy of real-time monitoring. The existing monitoring technology cannot meet the monitoring requirements in deep, narrow valleys. This paper establishes the theory and a mathematical model of real-time compaction quality monitoring in deep, narrow valleys and proposes a new method for real-time compaction quality monitoring based on positioning compensation technology (PCT), which combines GNSS and Robotic Total Station (RTS). An all-terrain and whole-process compaction quality monitoring of earth-rockfill dam construction is realized through this new method, making up for the shortcomings of the monitoring of the compaction process that relies solely on GNSS. Practical application shows that the method guarantees the objectivity and integrity of the real-time monitoring results, which ensures the compaction quality of earth-rockfill dam construction in deep, narrow valleys.     

固体体积率检测方法在填石路基压实质量控制中的应用

随着填石路基在公路和市政工程的广泛应用,其相对于的压实质量检测方法也在不断的发生变化。本文就固体体积率在填石路基施工压实质量控制的应用进行研究,为同类工程试验检测提供参考。     

安全储备法在路基施工监测中的应用

通过控制检测值之安全储备的方向性,可以降低工程施工质量的风险程度。以广东某高速公路路基压实度检测为例,从土的压实机理出发,对室内与现场的试验及检测结果进行分析,并利用核子仪法和灌砂法的对比资料,表明若使核子仪法具有一定的正安全储备,可以直接用于路基检测。     

Real-Time Quality Monitoring and Control of Highway Compaction

Compaction quality affects the long-term performance of highways, and thus is important in the highway construction. The current practice for compaction quality control primarily relies on the monitoring of rolling parameters such as rolling passes, speed and vibration of rollers, and lift thickness. Soil samples are randomly collected to evaluate the compactness. This practice is subject to two main limitations. First, the compaction monitoring and measurement are not always comprehensive since limited samples are manually collected. Second, compaction information cannot be disseminated to owners, supervisors, contractors, and operators in timely fashion. In this study, intelligent compaction (IC) technology is leveraged to monitor and control highway compaction quality. A new measure of compaction quality, compaction power per unit volume (E), is created and used with other IC measurement values such as compaction meter value (CMV) to achieve more reliable monitoring and assessment. Field experiments were conducted. The results demonstrated that the integration of CMV and E in the regression model leads to a higher coefficient of determination than that of using only CMV or E. A real-time monitoring system is developed, which not only evaluates the compaction quality of the entire area, but also synchronizes the compaction information among owners, supervisors, contractors, and operators in real-time. As such, this system cultivates an integrated “operator–contractor–supervisor–owner” quality control mechanism, which can improve the current highway compaction practice.     

玉溪红塔地块地基处理与效果检验

为了解某地基稳定性及地基的承载能力，对场地地基土层、地质岩性等结合不同作业点之间的联系与区别作了深入对比分析，通过方案比选，选择强夯法作为其最终的地基处理方法，采用规范填料对地基夯实加固有明显的效果，建议填料应严格按照设计要求选用且合理地增加触探作业点。     

深厚淤泥控制加载爆炸挤淤处理质量综合检验研究

首先分析了深厚淤泥爆炸挤淤围堤施工中的问题,然后评价目前已有的挤淤质量检验方法,提出了自沉沉降监测法,最后综合利用各种检验方法对一工程进行检验。通过研究发现,体积平衡法简单易行;钻探检测法是最直观最可靠的方法,但花费较高;物探检测法效率高,需结合钻探检测法实施,但在海水中不宜采用;自沉沉降监测法是一种间接方法,实施简单,花费较低。钻探检测法发现本工程围堤除少数标段泥石混合层厚度超过2.5m外,多数标段的挤淤质量良好。     

Real-time determination of sandy soil stiffness during vibratory compaction incorporating machine learning method for intelligent compaction

An emerging real-time ground compaction and quality control, known as intelligent compaction (IC), has been applied for efficiently optimising the full-area compaction. Although IC technology can provide real-time assessment of uniformity of the compacted area, accurate determination of the soil stiffness required for quality control and design remains challenging. In this paper, a novel and advanced numerical model simulating the interaction of vibratory drum and soil beneath is developed. The model is capable of evaluating the nonlinear behaviour of underlying soil subjected to dynamic loading by capturing the variations of damping with the cyclic shear strains and degradation of soil modulus. The interaction of the drum and the soil is simulated via the finite element method to develop a comprehensive dataset capturing the dynamic responses of the drum and the soil. Indeed, more than a thousand three-dimensional (3D) numerical models covering various soil characteristics, roller weights, vibration amplitudes and frequencies were adopted. The developed dataset is then used to train the inverse solver using an innovative machine learning approach, i.e. the extended support vector regression, to simulate the stiffness of the compacted soil by adopting drum acceleration records. Furthermore, the impacts of the amplitude and frequency of the vibration on the level of underlying soil compaction are discussed. The proposed machine learning approach is promising for real-time extraction of actual soil stiffness during compaction. Results of the study can be employed by practising engineers to interpret roller drum acceleration data to estimate the level of compaction and ground stiffness during compaction.     

路基压实度检测方法比较

阐述了路基压实度的测定方法有环刀法、灌砂法、核子密度仪法等试验方法,环刀法和灌砂法是路基压实度检测中最常用的两种试验方法,详细的介绍了环刀法和灌砂法的步骤,同时提及了试验过程中应该注意的问题,为试验人员提供一些帮助。