Improving Construction Quality of Pavement Geomaterial Layers Using Intelligent Compaction Data PDF Download

Author: Jorge Alberto Beltran Valenzuela
Publisher:
ISBN:
Category : Compacting
Languages : en
Pages : 72

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Author: Luis Lemus
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 70

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Author: Siddharth M. Satani
Publisher:
ISBN: 9781392587676
Category : Civil engineering
Languages : en
Pages : 0

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Compaction reduces the volume of soil layers, aggregates, asphalt, and air voids. In the conventional compaction method, quality control is an issue since tests are limited to very specific locations, the actual amount of compaction needed is unknown for the operator at the real-time, and properties measured by devices are limited to outbound layers only. While Intelligent Compaction (IC) is a smart technology that provides 100% surface coverage over pavement compaction. Therefore, the quality control and consequently the uniformity of the layer will be significantly improved. IC technology applies to both soil base and asphalt concrete construction. It is also expanding the life span of the roadway. IC is performed by IC rollers equipped with the following: accelerometer, accurate Global Positioning System, Infrared Temperature Sensors, and onboard screens that continuously analyze compaction data. This system collects vibration amplitude and frequency data, roller speed, eccentric force, number of passes and real-time asphalt surface temperature. An accelerometer provides Intelligent Compaction Measurement Value (ICMV). ICMV is a measurement of material stiffness. The utilization of IC technology improves the accuracy of quality control. However, contractors and project owners are yet concerned about the cost efficiency of the approach. This study covers Life Cycle Cost Analysis (LCCA) and Life Cycle Assessment (LCA) of IC and Conventional Compaction. Several analyses are performed over a construction project, it is concluded that IC technology, can optimize agency, user and maintenance cost, construction time, reduce air emissions, and reduce resource usage.

Author: Wei Hu
Publisher:
ISBN:
Category : Asphalt pavers
Languages : en
Pages : 149

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While having been successfully used for soil compaction for many years, intelligent compaction (IC) technology is still relatively new for asphalt pavement construction. The potential of using intelligent compaction meter value (ICMV) for evaluating the compaction of asphalt pavements has been hindered by the fact that ICMV can be affected by many factors, which include not only roller operation parameters, but also the temperature of asphalt layer and the underlying support. Therefore, further research is necessary to improve the application of IC for the asphalt compaction. In this study, the feasibility of IC for asphalt compaction was evaluated from many aspects. Based on that, a laboratory IC technology for evaluating asphalt mixture compaction in the laboratory was also developed. In this study, one field project for soil compaction was constructed using IC technology, and a strong and stable linear relationship between ICMV and deflection could be identified when the water content of soil was consistent. After that, more field projects for asphalt compaction were constructed using the IC asphalt roller. The density of asphalt, as the most critical parameter for asphalt layers, along with other parameters, were measured and correlated with the ICMVs. Various factors such as asphalt temperature and the underlying support were considered in this study to improve the correlation between the density and ICMV. Based upon the results of correlation analyses, three IC parameters were recommended for evaluating the compaction quality of resurfacing project. In addition, the geostatistical analyses were performed to evaluate the spatial uniformity of compaction, and the cost-benefit analysis was included to demonstrate the economic benefits of IC technology. Based on the test results of field projects, the IC indices were further utilized to quantify the lab vibratory compaction for paving materials. The compaction processes in the laboratory was monitored by accelerometers. Using Discrete-Time Fourier Transform, the recorded data during compaction were analyzed to evaluate the compactability of paving materials and to further correlate to the field compaction.

Author: Cesar Carrasco
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 30

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Author: Dharamveer Singh
Publisher:
ISBN:
Category : Crack and seat treatment
Languages : en
Pages : 11

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In this paper, a procedure for estimation of effective modulus of a multilayered hot mix asphalt (HMA) pavement using intelligent compaction (IC) is investigated. The study is conducted during the construction of an interstate highway (I-35) in Norman, OK. A complete coverage of the level of compaction of each of the asphalt pavement layers was recorded using the intelligent asphalt compaction analyzer (IACA). The collected IACA data allow determination of the level of compaction (density) at any selected location, for each layer, and provided a set of global positioning system (GPS) coordinates. Calibration procedures have previously been tested and validated by the authors to estimate the density of different types of pavements from IACA data. In this paper, a different calibration procedure is used to measure the dynamic modulus instead of the density of a pavement using IACA. Considering the IACA estimated density, the dynamic modulus of each of the selected locations for an individual pavement layer was measured from laboratory developed master curves. Thereafter, an effective modulus of the three-layer pavement system was calculated for all of the selected locations using Odemark's method. The proposed technique was verified by conducting falling-weight deflectometer (FWD) tests at these selected locations. Analyses of the results show that the proposed intelligent compaction technique may be promising in estimating the effective modulus of the pavement layers in a non-destructive manner. In addition, the Witczak model was used to estimate moduli of each of the pavement layers. The comparison of the Witczak model with FWD revealed that the model over-predicted the modulus significantly.

Author: Carlos Zambrano
Publisher:
ISBN: 9781622601356
Category :
Languages : en
Pages :

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Author: Shuai Yu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Effective compaction is crucial for the performance and durability of asphalt pavement. Traditional field compaction, relying heavily on engineers' experience and test strips, sometimes could be problematic to achieve a unified pavement with a desirable density, especially with new materials. To address these challenges, Intelligent Compaction (IC) has been developed to equip the vibratory rollers with GPS, accelerometers, onboard computers, and infrared thermometers to facilitate the quality control of pavement compaction. This technology allows for real-time monitoring and visualization of pavement responses and temperatures, significantly improving compaction uniformity. However, accurately predicting pavement density remains challenging due to the multilayered pavement structure and the complex interactions between the roller drum and the viscoelastic asphalt mixture. To understand the compaction mechanism and improve the compaction quality of the asphalt pavement, a Microelectromechanical System (MEMS) sensor, SmartKli was employed to study the asphalt mixture compaction at the mesoscale. It was found that the compaction characteristics at the macroscale are closely related to the behavior of coarse aggregates at the mesoscale level. The particle rotation plays a critical role in the densification of the asphalt specimens. Utilizing the Discrete Element Model (DEM), the impact of mix design and particle property on kinematic behaviors was examined. The mixture gradation and particle size also greatly affect the aggregates' behavior during compaction. Based on the developed compaction mechanism, a new method for evaluating asphalt mixture workability was proposed, incorporating workability parameters, compaction curves, and statistical analysis of compaction data. By verifying with different asphalt types including Hot Mix Asphalt (HMA), Warm Mix Asphalt (WMA), and Recycled Plastic Modified Asphalt (RPMA), this method could effectively assess the influence of various factors like asphalt content, compaction temperature, and additives on mixture workability, aiding in optimizing mix design and construction conditions. Moreover, an innovative compaction monitoring system was developed to accurately predict the compaction conditions of the asphalt pavement. This system uses a wireless particle size sensor for data acquisition and a machine learning model for density prediction. Linking laboratory gyratory and field roller compaction data through particle kinematic behaviors, the system achieved high precision in density prediction with a prediction error of less than 0.7%. The results demonstrate that integrating AI and sensing data is effective for predicting asphalt mixture compaction. This system could significantly enhance the compaction quality of asphalt pavement and contribute to the comprehensive quality control and assurance of pavement construction.

Author: Syed W. Haider
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 0

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It is well-known that longitudinal joint construction quality is critical to flexible pavement life. The maintenance activities caused by longitudinal joint deterioration's direct or indirect effects and raveling problems along the centerline paving joint of asphalt roadways have become challenging for many highway agencies. A poorly constructed joint can lead to premature deterioration of an otherwise sound pavement. Thus, improving the joint’s construction can improve density and decrease permeability. It is probably the single most crucial remedy to enhance pavement performance. A density profiling system (DPS) provides continuous, instead of limited, coverage provided by conventional joint quality evaluation methods. Statistical, probabilistic, and percent-within-limits (PWL) analysis of DPS data suggests avoiding the construction of an unconfined joint. Tapered joints, confined butt joints employing the Maryland method or otherwise, echelon paved, and unconfined butt joints with cut back can produce adequate compaction at the joint.

Author: Mehran Mazari
Publisher:
ISBN:
Category : Concrete, Pavement
Languages : en
Pages :

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