Indirect Tensile Test (IDT) to Determine Asphalt Mixture Performance Indicators during Quality Control Testing in New Jersey

Bennert, Thomas; Haas, Edwin; Wass, Edward

doi:10.1177/0361198118793276

Cited by 48 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The post-peak slope is defined by the tangent slope at 75% of the peak load on the post-peak curve (𝑚 % ) (Equation ( 2)). Higher CTIndex demonstrates better resistance to cracking [42,57,58]. The HI-IDTStrength is an expression of the standardization of the maximum applied load (P100%) in relation to the configuration of the specimen (i.e., diameter (D) and height (t)) (Equation ( 3)).…”

Section: Performance Assessment Indicatorsmentioning

confidence: 99%

Performance Assessment of Waste Cooking Oil-Modified Asphalt Mixtures

Alkuime,

Kassem,

Alshraiedeh

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

This study aims to develop a framework to incorporate Waste Cooking Oil (WCO) into asphalt mixtures. Such a framework utilizes a Balanced Mix Design (BMD) approach to ensure adequate resistance to cracking and rutting. Transportation agencies can use the proposed framework to incorporate recycled materials such as used cooking oils and reclaimed asphalt pavements into asphalt mixtures, which promotes sustainability in asphalt pavement construction. This study evaluated the cracking and rutting performance of the control and modified asphalt mixtures with different WCO dosages (i.e., 2, 3, 4, 5, and 7% by the weight of the binder) using the Indirect Tensile Asphalt Cracking (IDEAL) and High-temperature Indirect Tensile (High-IDT) Rutting Assessment Tests, respectively. The results demonstrated that WCO improved the cracking resistance of the control balanced mixture but reduced its resistance to rutting. A statistically significant effect was observed at high WCO dosages. Furthermore, the interaction plot indicates that the overall performance of WCO-modified asphalt becomes softer and more flexible with the increase in WCO dosage. Thus, the designed balanced control mixture becomes unbalanced when using WCO oil at any dosage. This study proposed several approaches to design a more economically balanced WCO-modified balance asphalt mixture.

show abstract

Section: Performance Assessment Indicatorsmentioning

confidence: 99%

Performance Assessment of Waste Cooking Oil-Modified Asphalt Mixtures

Alkuime,

Kassem,

Alshraiedeh

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…specimens are tested at intermediate ambient temperatures (5 °C-35 °C, depending on local climate) and a loading rate of 50 mm/min. Moreover, it is easy to perform since no cutting, gluing, notching, drilling, or instrumentation required [60,61]. Figure 6 illustrates the testing configuration for ITS and CT tests (Table 4).…”

Section: Cracking Tolerance Index (Ct-index)mentioning

confidence: 99%

Evaluating the Cracking Performance Indices of Half-Warm Mix Asphalt Comprising Waste Glass

Kadhim

Al-Busaltan

Nemaa

et al. 2021

Int. J. Pavement Res. Technol.

View full text Add to dashboard Cite

Sustainability has recently gained a high profile in many fields. Construction, due to its huge demand to materials, is one of the important targets. More than 95% of roads are paved with hot mix asphalt (HMA). Production of HMA using virgin materials consumes a lot of energy and contributes to the emission of a considerably large volume of CO 2 . Therefore, the replacement of virgin materials with waste and extending material life is of considerable value. Half-warm bituminous emulsion mixture (HWBEM) is a cold bituminous emulsion mixture subjected to a moderate heating energy before the compaction process. This study aims to evaluate the extent of enhancement in HWBEM crack resistance using a low energy heating technique (i.e., microwave) where virgin fine aggregates within the mixture were replaced with waste crushed glass. In addition to the measurement of volumetric properties and mixture sensitivity to moisture damage, crack related tests of indirect tensile strength test (ITS), cracks resistance test (Ideal-CT test), fracture energy (G f ), cracking resistance index (CRI) and toughness index (TI) were conducted to evaluate mixtures tensile strength. Test results showed that the procedure followed to prepare HWBEM containing waste crushed glass worked out and prevented cracking failure. It was concluded that adopting ITS is not sufficient to reflect all mixture behavior phases when resistance to the tensile cracking is the concern, as it depends on the peak load only. Other indices, such as CT-index, depend on more than one parameter and reflect a reasonably more realistic evaluation.

show abstract

“…The IDEAL-CT test is sensitive to the composition of the asphalt concrete mixture and has been carried out at the State Departments of Transportation and in the contractors’ laboratories in the United States. Compared with the above seven concrete cracking test methods, the IDEAL-CT method can be easily implemented with the following advantages: no instrumentation, cutting, gluing, drilling, or notching of specimens) and practicality (minimum training needed for routine operation), and repeatability (coefficient of variance less than 25%) [ 3 , 4 ]. It is also reported that the CT Index measured in the IDEAL-CT test correlated well with the field performance in terms of fatigue cracking from the FHWA accelerated loading facility full-scale testing.…”

Section: Introductionmentioning

confidence: 99%

Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement

Nguyen,

Le,

Nguyen

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

One of the various sorts of damage to asphalt concrete is cracking. Repeated loads, the deterioration or aging of material combinations, or structural factors can contribute to the development of cracks. Asphalt concrete’s crack resistance is represented by the CT index. 107 CT Index data samples from the University of Transport Technology’s lab are measured. These data samples are used to establish a database from which a Machine Learning (ML) model for predicting the CT Index of asphalt concrete can be built. For creating the highest performing machine learning model, three well-known machine learning methods are introduced: Random Forest (RF), K-Nearest Neighbors (KNN), and Multivariable Adaptive Regression Spines (MARS). Monte Carlo simulation is used to verify the accuracy of the ML model, which includes the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2). The RF model is the most effective ML model, according to analysis and evaluation of performance indicators. By SHAPley Additive exPlanations based on RF model, the input Aggregate content passing 4.75 mm sieve (AP4.75) has a significant effect on the variation of CT Index value. In following, the descending order is Reclaimed Asphalt Pavement content (RAP) > Bitumen content (BC) > Flash point (FP) > Softening point > Rejuvenator content (RC) > Aggregate content passing 0.075mm sieve (AP0.075) > Penetration at 25°C (P). The results study contributes to selecting a suitable AI approach to quickly and accurately determine the CT Index of asphalt concrete mixtures.

show abstract

Indirect Tensile Test (IDT) to Determine Asphalt Mixture Performance Indicators during Quality Control Testing in New Jersey

Cited by 48 publications

References 7 publications

Performance Assessment of Waste Cooking Oil-Modified Asphalt Mixtures

Performance Assessment of Waste Cooking Oil-Modified Asphalt Mixtures

Evaluating the Cracking Performance Indices of Half-Warm Mix Asphalt Comprising Waste Glass

Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement

Contact Info

Product

Resources

About