Monitoring fatigue famage and crack healing by ultrasound wave velocity

Abo-Qudais, Saad; Suleiman, Akram

doi:10.1080/10589750500206774

Cited by 24 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, the estimation of the modulus of elasticity in concrete and asphalt mixture is not normally recommended for two reasons: (1) the errors of the estimation of Poisson's ratio are not negligible; (2) Equation 2.3 is appropriate for homogeneous material only, leaving its validity for inhomogeneous material, such as concrete and asphalt mixture, questionable (Malhotra and Carino 2004). Other applications of the UPV test include characterizing the homogeneity of concrete, estimating the strength of concrete, and monitoring the top-down cracking (Khazanovich et al 2005), fatigue damage, and crack healing in asphalt pavements (Abo-Qudais and Suleiman 2005;. It should be noted that for field testing of in-service pavements, indirect configuration of sensors as shown in Figure 2.7(b) needs to be used, as only the top surface is accessible.…”

Section: Stress Wave Methodsmentioning

confidence: 99%

In-Place Hot-Mix Asphalt Density Estimation Using Ground-Penetrating Radar

Al-Qadi

Leng

Lahouar

et al. 2010

Transportation Research Record

View full text Add to dashboard Cite

In-situ asphalt mixture density is critically important to the performance of flexible airport pavements: density that is too high, or too low, may cause early pavement distresses.Traditionally, two methods have been commonly used for in-situ asphalt mixture density measurement: laboratory testing on field-extracted cores and in-situ nuclear gauge testing.However, both these methods have limitations. The coring method damages pavement, causes traffic interruption, and provides only limited data at discrete locations. The nuclear gauge method also provides limited data measurement. Moreover, it requires a license for the operators because it uses radioactive material. To overcome the limitations of these traditional methods, this study proposes to develop a nondestructive method of using ground penetrating radar (GPR) to measure in-situ asphalt mixture density accurately, continuously, and rapidly.The prediction of asphalt mixture density using GPR is based on the fact that the dielectric constant of an asphalt mixture, which can be measured by GPR, is dependent on the dielectric and volumetric properties of its components. According to electromagnetic (EM) mixing theory, two candidate specific gravity models, namely the modified complex refractive index model (CRIM) and the modified Bottcher model, were developed to predict the bulk specific gravity of asphalt mixture from its dielectric constant.To evaluate the performance of these two models, a full-scale six-lane test site with four sections in each lane was carefully designed and constructed. Forty cores were extracted from the test site, and their densities were measured in the laboratory and compared to the GPRpredicted values using the two models. Both models were found effective in predicting asphalt mixture density, although the modified Bottcher model performed better. To account for the effect of the non-spherical inclusions in asphalt mixture and further improve the density prediction accuracy, a shape factor was introduced into the modified Bottcher model. Nonlinear least square curve fitting of the field core data indicated that a shape factor of -0.3 provided the best-performance model, which is referred to as the Al-Qadi Lahouar Leng (ALL) model.The performance of the ALL model was validated using data collected from an active pavement construction site in Chicago area. It was found that when the ALL model was employed, the prediction accuracy of the GPR was comparable to, or better than, that of the traditional nuclear gauge. For the asphalt mixtures without slags, the average density prediction errors of GPR were between 0.5% and 1.1% with two calibration cores, while those of the nuclear gauge were between 1.2% and 3.1%. iv Due to the importance of accurate input of the dielectric constant of asphalt mixture to the prediction accuracy of the specific gravity model, this study also looked into alternative methods for asphalt mixture dielectric constant estimation. The extended common mid-point (XCMP) method using two air-coupled antenna systems ...

show abstract

Section: Stress Wave Methodsmentioning

confidence: 99%

In-Place Hot-Mix Asphalt Density Estimation Using Ground-Penetrating Radar

Al-Qadi

Leng

Lahouar

et al. 2010

Transportation Research Record

View full text Add to dashboard Cite

show abstract

“…Healing was observable from changes in the UPV measurements, although there was greater variation in healing for longer rest periods (i.e., 7 to 14 days). As the IDT setup induces permanent deformation during the test, IDT should be considered a cyclic compression test, not a fatigue test [11,15,16]. Houel and Arnaud (2009) used UPV measurements and tension-compression (T/C) tests at -10 and 10°C.…”

Section: Non-invasive Fatigue-healing Characterizationmentioning

confidence: 99%

Viability of Coda Wave Interferometry for Fatigue Monitoring of Asphalt Mixtures

Aurilio,

Baaj

2023

Preprint

View full text Add to dashboard Cite

For asset management, various non-destructive techniques are used to assess the structural or functional integrity of the pavements to help determine the correct maintenance and rehabilitation (M&R) treatments to prolong the useful service life of a pavement. Few studies have evaluated coupled non-invasive damage tests for asphalt materials in a laboratory setting. In this study, ultrasonic measurements were coupled with tension-compression testing using a dedicated pulse-receiver data acquisition system to characterize fatigue-healing tests. Time signals were acquired periodically (i.e., 10-minute intervals) throughout the fatigue-healing test and then analyzed in the time-domain using the coda wave interferometry (CWI) technique. Two windowing procedures were proposed, including Method 1, which incorporated a simple statistical approach and Method 2, which was derived from the diffusive energy envelope paired with an adaptive window length stretching technique. After windowing the time signals, the CWI procedure was completed using a dynamic time-warping (DTW) algorithm. CWI measurements using both windowing selection methods were demonstrated to be capable of distinguishing loading and rest periods during healing tests. The CWI technique was also sensitive enough to accurately differentiate loading at the lower and higher strain levels used in this study. Notably, Method 2 CWI results were able to maintain lower signal-signal variability and capture the “non-linearity” or curvature observed in traditional fatigue tests typically attributed to bias effects.

show abstract

“…The ultrasonic pulse velocity can be used to predict crack healing non-destructively without specimen crushing. As explained by Abo-Qudais and Suleiman, [12], it is sensitive to healing and to the effects of aggregate gradation, and rest period length and temperature. The effect of mix parameters on the UPV test was investigated by Arabani et al, [13].…”

Section: Introductionmentioning

confidence: 98%

Implication of Nondestructive Test NDT for Evaluation of Crack Healing in Asphalt Concret

Sarsam¹

2020

CEBEL

View full text Add to dashboard Cite

Asphalt concrete practices heavy loading and environmental impacts through the service life of the pavement. Micro cracks usually initiate and accumulate to form various types of distresses. However, asphalt concrete has the ability of self-healing under rest period and environment conditioning. Asphalt concrete is a composite material consisting of aggregates, bitumen, and air voids. Its mechanical behavior is complex due to its dependency of temperature, loading frequency, and strain level. In this investigation, asphalt concrete specimens of wearing course have been prepared in the laboratory and subjected to repeated indirect tensile stresses to initiate the micro-cracks. The test was stopped after 1200 load repetitions, and the specimens were stored in an oven at 60°C for 120 minutes to allow the crack healing process by external heating to start. Specimens were returned to the testing chamber and were subjected to another round of load repetitions. Specimens were tested before and after load repetitions and crack healing with the aid of ultrasonic pulse velocity traversing the specimen using pundit instrument. The healing indicator was the change in pulse velocity before and after the repeated load test and before and after healing process. It was concluded that the velocity decreases as the loading cycles proceeds indicating the start of damage, while the ultrasonic pulse velocity increases after the micro-crack healing process.

show abstract

Monitoring fatigue famage and crack healing by ultrasound wave velocity

Cited by 24 publications

References 5 publications

In-Place Hot-Mix Asphalt Density Estimation Using Ground-Penetrating Radar

In-Place Hot-Mix Asphalt Density Estimation Using Ground-Penetrating Radar

Viability of Coda Wave Interferometry for Fatigue Monitoring of Asphalt Mixtures

Implication of Nondestructive Test NDT for Evaluation of Crack Healing in Asphalt Concret

Contact Info

Product

Resources

About