Compaction Quality Control of Pavement Layers Using LWD

Balunaini, Umashankar; Chennarapu, Hariprasad; Garala, Thejesh Kumar

doi:10.1061/(asce)mt.1943-5533.0001379

Cited by 38 publications

(14 citation statements)

References 22 publications

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“…Bearing pressure increased with increase in the thickness of the aggregate layer. According to Umashankar et al [12], the top stiff layers absorb significant portion of the load applied on the surface of footing, and similar observations were made in the present study. For instance, at a settlement ratio (s/B) of 10 %, the bearing pressure increased by about 81 % for the case of 100 mm thick aggregate layer overlying sand when compared with the unreinforced sand.…”

Section: Resultssupporting

confidence: 92%

Load-Settlement Response of Square Footing on Geogrid Reinforced Layered Granular Beds

Prasad

Chennarapu

Balunaini

2016

Int. J. of Geosynth. and Ground Eng.

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Experimental studies were carried out to obtain the load-settlement response of a model square footing resting on unreinforced and reinforced granular beds. The response was obtained for two cases: (a) geogrid-reinforced sand layer, and (b) geogrid-reinforced layered system consisting of aggregate layer overlying a sand layer. The parameters considered in the experimental study include the thickness of the aggregate layer, the depth of geogrid reinforcement placed in sand layer and in aggregate layer, width of the reinforcement, and relative density of bed. Plate vibrator was used to compact uniform sand beds to relative densities equal to 50 % and 70 % inside large-size test chamber of dimensions equal to 1 m 9 1 m 9 1 m (in length, in width, and in depth). Load was applied on square footing using a 100 kN capacity actuator in displacementcontrolled mode, and the improvement in the load carrying capacity of the footing resting on reinforced sand layer and layered system was quantified in terms of load improvement factors. In addition, the optimum embedment depth and width of reinforcements were proposed for various cases considered in the study. The optimum depth of reinforcement for the case of aggregate layer overlying sand layer decreased to 0.30 times the width of the footing from 0.45 times the width of the footing for sand only case.

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Section: Resultssupporting

confidence: 92%

Load-Settlement Response of Square Footing on Geogrid Reinforced Layered Granular Beds

Prasad

Chennarapu

Balunaini

2016

Int. J. of Geosynth. and Ground Eng.

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“…In addition, some traditional methods may cause damage to the pavements [3][4][5]. e online methods make up for the shortcomings of traditional ways and detect the compaction degree nondestructively, typically including the Rayleigh wave method, nonnuclear density method, falling weight deflectometer (FWD) method, etc [6][7][8]. Nevertheless, all of them are pointingdetection and result control methods, which are difficult to realize the process control [9].…”

Section: Introductionmentioning

confidence: 99%

An Improved Low‐Cost Continuous Compaction Detection Method for the Construction of Asphalt Pavement

Jia

Qian

et al. 2019

Advances in Civil Engineering

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To realize the continuous compaction control (CCC) of asphalt pavement during construction, continuous detection method was investigated for the compaction degree values. For the trajectory of rollers, a collaborative positioning method was proposed. For the monitoring of rolling process, an embedded-based detection system was designed. For the evaluation of rolling effect, harmonic analysis was introduced and a new index, vibration compaction energy value (VCVe), was proposed. Positioning experiments were conducted, and the accuracy was improved to 0.48 m. Rolling tests were performed, and typical compaction meter values (CMVs), compaction control values (CCVs), and VCVe were obtained. The referenced compaction degree by conventional way was 94.6%, which was used to calibrate the detected values of compaction degree indexes. The results showed that continuous compaction detection can be achieved based on positioning system and vibration analysis. Compared with CMV and CCV, VCVe is less discrete, more stable, and consistent to describe the compaction state. Though, all the CMV, CCV, and VCVe indexes are unable to be used for quality assurance directly or alone, they could be an aid for quality control. Continuous compaction detection system meets the monitoring requirements of pavement construction at a lower cost and could lay a foundation for the intelligent compaction (IC).

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“…The signal conditioning module (4) is utilized to convert the signal received by the sound field microphone (3) into a standard signal by means of amplification and filtering. Then the standard signal can be collected by the data acquisition module (5), which simultaneously acquires the spatial signal associated with the roller position provided by the GPS receiver (9). Subsequently, two signals are transmitted to the analysis processing module (6) through wired communication.…”

Section: Technical Implementationmentioning

confidence: 99%

“…It is suitable for rockfill materials. As shown in Figure 9, the detection device (2) includes an acoustic field microphone (3), a microphone mounting device (10), a signal conditioning module (4), a data acquisition module (5), an analysis processing module (6), a display (7), and a GPS receiver (9). Moreover, the system also includes a vibratory roller (1) and an onboard battery (11).…”

Section: Technical Implementationmentioning

confidence: 99%

“…Subsequently, two signals are transmitted to the analysis processing module (6) through wired communication. The analysis processing module (6) is utilized to implement the filtering, spectrum analysis, and logarithmic processing of the acoustic signal, obtain SHA of the effective acoustic signal, calculate the SCV values multiplied by the calibration coefficient in real time, As shown in Figure 9, the detection device (2) includes an acoustic field microphone (3), a microphone mounting device (10), a signal conditioning module (4), a data acquisition module (5), an analysis processing module (6), a display (7), and a GPS receiver (9). Moreover, the system also includes a vibratory roller (1) and an onboard battery (11).…”

Section: Technical Implementationmentioning

confidence: 99%

See 1 more Smart Citation

Roller-Integrated Acoustic Wave Detection Technique for Rockfill Materials

Zhang

Liu

2017

Applied Sciences

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This paper proposes a roller-integrated acoustic wave detection technique for rockfill materials. This technique can be divided into two parts: theoretical analysis and technical implementation. Based on Lamb's problem and an infinite baffle piston radiation acoustic field model, a relationship model between the sound compaction value (SCV) and the dry density of the natural gravel materials (NGM) was established, namely, A-model. During the modeling process, an innovative differential pulse excitation method (DPEM) was used to find the numerical solution of the vertical displacement of the soil surface under harmonic loads. In this research, a continuous compaction control acoustic wave detection system (CAWDS) was developed and utilized along with real-time kinematic global positioning systems (RTK-GPS). The SCV was adopted as a characterization index for the compaction quality of rockfill materials. A case study on a reservoir project in Luoyang, China indicated that the SCV is highly linearly correlated with the number of compaction times, dry density, and compactness of the NGM. This new technique demonstrated several advantages, such as higher accuracy, discreetness, convenience, and suitability for detecting the compactness of the NGM. This technique is an effective tool for compaction quality control of rockfill materials and has a great potential for further applications.

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Compaction Quality Control of Pavement Layers Using LWD

Cited by 38 publications

References 22 publications

Load-Settlement Response of Square Footing on Geogrid Reinforced Layered Granular Beds

Load-Settlement Response of Square Footing on Geogrid Reinforced Layered Granular Beds

An Improved Low‐Cost Continuous Compaction Detection Method for the Construction of Asphalt Pavement

Roller-Integrated Acoustic Wave Detection Technique for Rockfill Materials

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