Pavement Construction Quality Research Articles

Optimizing latex-modified concrete for enhanced workability and durability in pavement construction

High temperatures during summer pavement construction can lead to rapid drying, adversely affecting the workability and homogeneity of concrete mixtures, often resulting in quality issues such as cracks and surface defects. This study aims to overcome these challenges by introducing latex modified concrete (LMC) as a solution for enhancing the quality of summer pavement construction. Latex, known for its excellent flexibility and physical properties, is employed to improve the workability and strength of concrete. The study focuses on enhancing the workability and performance of latex in bridge construction within LMC during the summer. The effects of nonionic emulsifier type, alkyl ethylene oxide (AEO) and alkyl phenyl ethylene oxide (APEO), were investigated. In latex, the AEOs with alkyl chains containing 9–13 carbons and 20–40 ethylene oxide units exhibited remarkable workability in LMC. To improve workability even more, the addition of 0.5 wt% superplasticizer per unit of cement was found to be effective. This research contributes to the field by demonstrating the efficacy of nonionic emulsifiers and superplasticizers in latex in enhancing summer workability and their effects on the compressive strength of concrete.

Analysis of Asphalt Concrete Highway Construction Technology in Highway Engineering

In recent years, asphalt concrete has been commonly used for construction in highway engineering in China. In actual construction, asphalt concrete construction technology has a serious impact on the quality of highway engineering. Therefore, in order to strictly control quality and effectively avoid safety accidents during highway engineering construction. This requires relevant personnel to strengthen the analysis and research of asphalt concrete road construction technology, in order to meet the latest requirements for the quality of concrete pavement construction in the context of rapid urbanization in China. The following article will analyze the construction technology of asphalt concrete engineering in highway engineering, hoping to have a certain effect on improving the quality of highway engineering construction in China.

Meso-structural evaluation of asphalt mixture skeleton contact based on Voronoi diagram

The Voronoi diagram is a fundamental data structure for spatial neighborhood relations used in various fields related to geometric information. Taking four asphalt mixtures as the research object, this study established the skeleton contact Voronoi diagram model to characterize the contact meso-structure between coarse aggregates, and extracted the quantitative information of skeleton contact space. The results show that the skeleton contact Voronoi diagram model can represent important spatial information of asphalt mixtures from the meso-structure including the homogeneity of asphalt mixtures, the extrusion relationship between coarse and fine aggregates, and the skeleton contact distribution characteristics, etc. The shape of the connected tree reflects the coarse aggregate contact distribution and load transfer trend, and the order of the connected tree reflects the contact connectivity strength of the skeleton. We used Voronoi diagram area Vs, connected tree area TVs and the total length of contact points L to quantitatively evaluate the skeleton contact of asphalt mixtures. In the design of asphalt mixtures with dense skeletons, the evaluation criteria of skeleton contact characteristics include Vs (30–180 mm2) proportion ≥75 %, Tr-1 and Tr-2 proportion ≤75 % and L ≥70. The results provide new ideas to promote the quality of asphalt mixtures and pavement construction.

Uniformity evaluation of asphalt pavements in hot and humid areas based on ground-penetrating radar

Rapid and accurate detection of asphalt mixture state such as air void content and uniformity, is beneficial for enhancing the construction quality and efficiency. This study aims to effectively evaluate asphalt pavement uniformity using ground-penetrating radar in hot and humid environments. The results show that with an increase in the temperature and humidity of the asphalt pavement, the dielectric constant increased and the air void content decreased. The established dielectric constant–air void content model can be used to quickly detect the air void content of asphalt pavements. Separation evaluation indexes based on the air void content can be used to evaluate the uniformity of asphalt pavements in hot and humid areas. This study provides ideas for evaluating the uniformity of asphalt pavements in hot and humid areas and lays the foundation for accurate control of asphalt pavement construction quality.

Densification behavior of asphalt mixture and its relation with particle dynamic responses during gyratory compaction

Compaction of asphalt mixture is a critical step of the pavement construction, which determines the performance and durability for asphalt pavement. The densification behavior of asphalt mixture is complicated and its workability is prone to be affected by the material composition and construction conditions. Knowing the compaction process is of great significance for improving the pavement construction quality. This study aims to investigate the densification behavior of asphalt mixture in the compaction process and its correlation with dynamic responses of the built-in Smart Aggregate. Through Los Angeles abrasion tests and aggregate imaging measurement system, 40 kinds of coarse aggregates with different morphologies were prepared and employed to carry out gyratory compaction tests for asphalt mixtures. The height decline and density growth of the mixtures were concerned in different compaction stages. Meanwhile, the Smart Aggregate was embedded in the mixture to capture the particle dynamic responses, which were further correlated to the densification behavior of the mixture. The results show that material factors have the significant influence on the compaction process after the mixture has been compacted to the P1 at which the height change is less than 1 mm. The gyratory compaction process can be divided into different stages of 0∼P1, P1∼P0.1, P0.1∼P0 according to the change in mixture height, and every gyration would enable the percentage of maximum theoretical specific gravity (Gmm) increase with 1.46 %, 0.3 %, 0.11 % in the corresponding stage. After the threshold point P0, the increment of compaction degree after per gyration is less than 0.05 %. AC and SMA-13 mixtures would achieve the 95.5 %∼97.4 % of Gmm when they are compacted to locking point of P0. Asphalt mixture height is highly related to the relative rotation of the embedded Smart Aggregate. Change in the mixture height can be characterized by the variation of particle relative rotation, which could be further adopted to determine the locking state of asphalt mixture compaction in real-time.

Application Research on Intelligent Paving Construction Technology of Asphalt Pavement Based on 3D Mechanical Control

As the major construction equipment of asphalt pavement, the performance of the paver plays a critical role in pavement construction quality, directly affecting the smoothness and compactness of the pavement, etc. Therefore, by analyzing the influence of the paver leveling method on the levelness, this project uses 3D mechanical control technology to optimize the automatic leveling method of pavers, which can improve the asphalt pavement construction process. It can also improve the quality and economic efficiency of asphalt pavement construction by increasing the automation, standardization, and wisdom of pavers.

The application of intelligent control technology for the evaluation of temperature segregation in asphalt mixture paving

The index of temperature segregation in asphalt mixture paving is one of the key indicators of quality control of asphalt pavement construction. Intelligent control techniques have also been recently used as a novel technology in controlling the temperature segregation of asphalt mixture for paving. Hence, the present study aims at developing an intelligent control system of asphalt mixture paving. Accordingly, to monitor and visualize the quality of the real-time paving, a temperature cloud was mapped for the asphalt mixture paving. Furthermore, a comprehensive evaluation method of paving temperature segregation was developed based on two indices, i.e., temperature segregation index and low-temperature area index. In addition, the accuracy of the developed system in controlling the paving temperature, thickness and segregation degree was practically confirmed. Moreover, the influence of paving temperature segregation on the asphalt pavement performance (compactness and smoothness) were practically explored. The obtained results corroborated the real-time effectiveness of the smart system in controlling the entire process of asphalt mixture paving. Also, the cloud map enabled the visual displaying of the asphalt pavement temperature segregation in real-time. Consequently, the quality of asphalt pavement construction was improved. Hence, the proposed evaluation metric was capable of accurately assess and predict the state and performance of the asphalt mixture paving temperature segregation.

Analysis of Highway Construction Technology and Pavement Construction Quality Control

Analysis of Highway Construction Technology and Pavement Construction Quality Control

Mesostructural characteristics and evaluation of asphalt mixture contact chain complex networks

The skeleton structure of asphalt mixture is the main carrier to resist load. At present, the identification and evaluation of skeleton contact chains need to be further investigated. This study quantitatively analyzes the mesostructural characteristics of asphalt mixture skeleton contact chains from the perspective of complex networks by using digital image processing (DIP) technique. A self-developed meso-structure intelligent identification software is developed, the evaluation parameters of the contact chain complex networks are proposed, and five types of asphalt mixture skeleton contact chains are compared. Additionally, the multi-scale relationship between the meso and macro parameters of the contact chains has been established, and a design flow chart of the asphalt mixture skeleton mesostructure based on rutting prediction has been proposed. The results indicate that the skeleton structure of the asphalt mixture has the characteristics of a scale-free network, and the degree distribution of each coarse aggregate is inhomogeneous, exhibiting a good power-law distribution; the length of the aggregate to aggregate contact chains conforms to the normal distribution, and the asphalt mixture skeleton clustering coefficient is close to zero; the smaller the skeleton modularity of the asphalt mixture, the greater the number of coarse aggregates within the longest contact chain and the fewer the modules, indicating that the asphalt mixture can form a more perfect skeleton structure. The measures to improve the skeleton performance of asphalt mixture include focusing on the passing rates of the 2.36 and 4.75 mm aggregates, obtaining a maximum amount of coarse aggregate in the contact chains, and achieving a smaller number of modules and modularity in the network. This study presents a fast and effective technical evaluation tool and detection method for asphalt mixture indoor design and pavement construction quality detection and also provides guidance for the fine design and performance improvement of asphalt mixtures.

Analysis on Dynamic Control Technology of Expressway Asphalt Pavement Construction Quality

Analysis on Dynamic Control Technology of Expressway Asphalt Pavement Construction Quality

Research on the Quality of Asphalt Pavement Construction Based on Nondestructive Testing Technology

In order to better evaluate the construction quality of asphalt pavement, nondestructive testing techniques are used to inspect newly paved asphalt mixture pavement. The proposed system for the evaluation of asphalt pavement construction quality uses three-dimensional ground-penetrating radar (GPR) and a non-nuclear density gauge. The GPR and the non-nuclear density gauge test results were used to establish a dielectric constant–porosity model by fitting. This approach can more accurately determine the dielectric constant selection scheme of the GPR based on the average value of every 10 dielectric constant data points in the length direction of the radar antenna and every three data channels in the width direction. The GPR collected the dielectric constants of the road surface based on the total reflection method and used the average value of the local dielectric constant to evaluate the construction quality of the road. The non-nuclear density gauge used the local porosity to assess the construction quality of the road. It is recommended that the two testing schemes described above be used to evaluate the quality of asphalt pavement construction. They can provide theoretical guidance for future applications in practical processes.

Dynamic Quality Monitoring System to Assess the Quality of Asphalt Concrete Pavement

With the rapid development of new technologies, such as big data, the Internet of Things (IoT) and intelligent sensing, the traditional asphalt pavement construction quality evaluation method has been unable to meet the needs of road digital construction. At the same time, the development of such technologies enables a new management system for asphalt pavement construction. In this study, firstly, the dynamic quality monitoring system of asphalt concrete pavement is established by adopting the BeiDou Navigation Satellite System, intelligent sensing, the IoT and 5G technology. This allows key technical indicators to be collected and transmitted for the whole process of asphalt mixture, which includes the mixing plant, transport vehicle, paving and compaction. Secondly, combined with AHP and the entropy weight (EW) method, the index combination weight is calculated. The comprehensive index for the pavement digital construction quality index (PCQ) is proposed to reflect the impact of monitoring indicators on pavement quality. An expert decision-making model is formed by using the improved particle swarm optimization (PSO) algorithm coupled with radial basis function neural network (RBF). Finally, the digital monitoring index and pavement performance index are connected to establish a full-time and multi-dimensional digital construction quality evaluation model. This study is verified by a database created from the digital monitoring data of pavement construction collected from a highway construction project. The system proposed in this study can accurately reflect the quality of pavement digital construction and solve the lag problem existing in the feedback of construction site.

Key Points of Asphalt Pavement Construction Technology and Quality Control in Highway Engineering

Key Points of Asphalt Pavement Construction Technology and Quality Control in Highway Engineering

An Effectiveness Study of SPC Control Charts on the Quality Control for Construction in Asphalt Pavement

Aiming at the problems of insufficient dynamic control and data mining of Expressway pavement construction quality in Yunnan, this paper analyzes the application of Exponentially Weighted Moving Average (EWMA) control chart in dynamic control of Expressway asphalt pavement construction quality. Firstly, the quality characteristic value of pavement construction is defined as the data type of multiple variation sources, and the mathematical model of multiple variation sources is studied to solve the problem of excessive false alarm. Then, on the theoretical basis of statistical process control (SPC), the paper compares and analyzes the three control chart schemes of traditional Hugh Hart control chart, Tabular Cumulative Sum (CUSUM) control chart and EWMA control chart, and concludes that the application effect of EWMA control chart is obviously better than the other methods in the aspects of applicability and inspection output. Finally, combining with the measured data of asphalt mixture temperature and asphalt weight in pavement construction, EWMA control diagram is used to carry out practical research, and the results are better.

Highway Construction Technology and Pavement Construction Quality Control Analysis

Highway Construction Technology and Pavement Construction Quality Control Analysis

Research on Asphalt Pavement Diseases and Construction Quality Control under the Background of Big Data

In the context of rapid social and economic development, the transportation industry is under increasing pressure, and the requirements of vehicles on roads are increasing. People are paying more and more attention to the quality of asphalt pavement. However, due to the threat of excessive diseases, the pavement is prone to water damage and cracks. Therefore, it is particularly important to strengthen the quality control of asphalt pavement construction and disease prevention. Based on this, this article conducts an in-depth study on asphalt pavement disease and construction quality control under the background of big data. Based on the big data mining technology, this paper realizes the research on the relationship between pavement disease problems and influencing factors such as air temperature, surface porosity and traffic load, summarizes and analyzes several problems in the construction process, and proposes common disease prevention measures. Research shows that to improve construction quality management, it is necessary to establish a construction information database based on scientific statistical methods, monitor key indicators in the construction process in real time, and control and manage the entire construction process. Once problems are found, effective measures must be taken Solve it in time to ensure that the construction can be carried out smoothly, thereby effectively improving the level of pavement construction.

Study on the Laboratory Mixing and Compaction Methodology of Emulsified Asphalt Cold Recycled Mixture

Emulsified asphalt cold recycled mixture is commonly used in the upper base course of expressway reconstruction asphalt pavement. When the following layer is paved with hot-mix asphalt (HMA) mixture, the aging asphalt in the recycled material is activated due to the temperature conduction effect of the HMA mixture, so that the cold recycled layer produces “secondary thermal compaction” under the action of a roller. Based on this phenomenon, the present study aimed to discuss the influence of different molding methods and mixing processes on the volume parameters and mechanical properties of cold recycled emulsified asphalt mixture. The influences of Marshall compaction times, gyratory compaction times, curing time, and specimen-forming temperature on the voids and splitting strength of cold recycled mixture were studied. Compared with the field core sample, the laboratory-forming method, which accords with the field compaction condition of the cold recycled upper base, is recommended, that is, first-time compaction number of small Marshall is 100 times and secondary thermal compaction number is 50 times (previous research)（Shorthand for 100+50）, the compaction times of large Marshall specimen is “150 + 75”, gyratory specimen is “30+15”. The curing time of cold recycled mixture should not exceed 3 h and should not be constructed in low-temperature weather to ensure the quality of pavement construction. The use of a new stage and step laboratory mixing process simulating the plant mixing, compared with the traditional mixing process, increases the splitting strength by at least 13%.

Analysis the Use of Artificial Aggregates As a Substitute of Coarse Agreggates for Surface of Flexible Pavement

The quality of flexible pavement construction is strongly influenced by the composition of the material used, including the type of aggregate, and asphalt. Aggregates are generally defined as hard and dense earth shell formation. The mechanical properties of the asphalt mixture are strongly influenced by the fraction and aggregate properties, because the aggregate fills the majority of the asphalt mixture volume (more than 80%) and mass (about 95%). Aggregates have various forms and textures including round and cube shapes. At present, infrastructure development in Indonesia continues to increase the amount of natural aggregate usage, so this will cause the availability of materials to continue to thin out. For this reason, an effort needs to be made to find an alternative to the use of natural aggregate, one of which is the utilization of waste generated by the steam power plant (PLTU), namely fly ash. In this study the artificial aggregate was varied in spherical (AB) form from processed granulaor and angular (ABSC) from processed stone crusher. The results obtained in each variation provide a value that meets the specifications. The full use of artificial aggregates of 25% AB 75% ABSC on dense gradations provides stability of 1258.13 kg. In this study, the use of artificial aggregates can be used as an alternative as an aggregate substitute for nature. In addition to improving mixed quality, the use of artificial aggregates can be an alternative use of waste.

Evaluation of the long-term performance of flexible pavements with respect to production and construction quality control indicators

This paper details the process to develop a framework for connecting pavement construction quality control indicators to long-term performance at the network level. The framework relies on creating a relational database using geo-referencing of individual quality data points collected from the Wisconsin Department of Transportation highway construction projects. This paper demonstrates the ability of the developed system to define the statistical correlation between quality during asphalt mix production and surface construction to in-service performance. The different sources of data relating to pavement design, mix production, asphalt concrete placement, quality control measurements, performance surveys were connected to build a holistic geo-relational database. Four types of distresses (transverse, longitudinal, alligator cracking and rutting) were isolated from the performance surveys to be used as performance indicators. The impact of these distresses on the pavement was calculated in the form of a Deterioration Index (DI). The statistical information in this paper showed that the proposed system could identify changes in the mix properties and assess their impacts on the existence and intensity of distresses. The potential correlations of quality indicators and the four distresses were investigated using linear regression analysis. Based on the results, rutting and alligator cracking are found to be sensitive to quality deviation in air voids (Va), voids in mineral aggregate (VMA), and in-place density. More importantly, the approach detailed in this paper provides the needed foundation for quantifying the dependency of pavement performance on quality control indicators.

Analysis on the Management and Technical Aspects of Asphalt Pavement Construction

The continuous acceleration of urban construction and the quality of highway construction projects has received an extensive attention, predominantly on asphalt pavement construction. Therefore, it is necessary to establish a high-quality supervision, good management and technical operation as well as maintenance control mechanism in conjunction with the construction environment to ensure a success on road construction to be carried out smoothly and be able to achieve an advance level in the optimization goal of asphalt pavement construction management. This paper focuses on the technical points and management points of asphalt pavement construction, aiming to provide more intuitive data for the construction management department to improve the overall quality of asphalt pavement construction.