Grey target optimization and the mechanism of cold recycled asphalt mixture with comprehensive performance

Lyu, Zhenghua; Shen, Aiqin; Qin, Xiao; Yang, Xiaolong; Li, Yue

doi:10.1016/j.conbuildmat.2018.11.274

Cited by 59 publications

(17 citation statements)

References 27 publications

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“…Meanwhile, the fatigue life prediction is a long-lasting topic. There are three methods to forecast the asphalt mixture fatigue life: the dissipation energy method, fracture mechanics method, and phenomenology method [ 24 , 25 , 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Yuan

Peng

et al. 2020

Materials

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Strength and fatigue life are essential parameters of pavement structure design. To accurately determine the pavement structure resistance of rubber asphalt mixture, the strength tests at various temperatures, loading rate, and fatigue tests at different stress levels were conducted in this research. Based on the proposed experiments, the change law of rubber asphalt mixture strength with different temperatures and loading rates was revealed. The phenomenological fatigue equation of rubber asphalt mixture was established. The genetic algorithm optimized backpropagation neural network (GA-BPNN) is highly reliable for optimizing production processes in civil engineering, and it has a remarkable application effect. A GA-BPNN strength and fatigue life prediction model was created in this study. The reliability of the prediction model was verified through experiments. The results showed that the rubber asphalt mixture strength decreases and increases with the increase of temperature and loading rate, respectively. The goodness of fit of the rubber asphalt mixture strength and fatigue life prediction model based on the GA-BPNN could reach 0.989 and 0.998, respectively. The indicators of the fatigue life prediction model are superior to the conventional phenomenological fatigue equation model. The GA-BPNN provides an effective method for predicting the rubber asphalt mixture strength and fatigue life, which significantly improves the accuracy of the resistance design of the rubber asphalt pavement structure.

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Section: Introductionmentioning

confidence: 99%

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Yuan

Peng

et al. 2020

Materials

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“…Due to the different physical meanings of the evaluation indicators, the dimension of the data is not uniform, and it is not easy to compare, and it is difficult to get the correct conclusion when comparing. The dimensionless processing of the multi-objective test results is needed before GCGA [24,33,34].…”

Section: Resultsmentioning

confidence: 99%

Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture

Cheng

Zhou

et al. 2019

Materials

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This study focuses on improving the performance of asphalt mixture at low- and high- temperature and analyzing the effect of diatomite and basalt fiber on the performance of the asphalt mixture. Based on the L16(45) orthogonal experimental design (OED), the content of diatomite (D) and basalt fiber (B) and the asphalt-aggregate (A) ratio were selected as contributing factors, and each contributing factor corresponded to four levels. Bulk volume density (γf), volume of air voids (VV), voids filled with asphalt (VFA), Marshall stability (MS) and splitting strength at −10 °C (Sb) were taken as the evaluation indexes. According to the results of the orthogonal experiment, the range analysis and variance analysis were used to study the effect of the diatomite content, basalt fiber content and asphalt-aggregate ratio on the performance of the asphalt mixture, and the grey correlation grade analysis (GCGA) was used to obtain the optimal mixing scheme. Furthermore, the performance tests were conducted to evaluate the performance improvement of asphalt mixtures with diatomite and basalt fibers, and the scanning electron microscopy (SEM) tests were carried out to analyze the mechanism of diatomite and basalt fibers in asphalt mixtures. The results revealed that the addition of diatomite and basalt fiber can significantly increase the VV of asphalt mixture, and reduce γf and VFA; the optimal performance of the asphalt mixture at high- and low-temperature are achieved with 14% diatomite, 0.32% basalt fibers and 5.45% asphalt-aggregate ratio. Moreover, the porous structure of diatomite and the overlapping network of basalt fibers are the main reasons for improving the performance of asphalt mixture.

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“…where J temp,stress is calculated according to equation (5) for hot mastics and equation (6) for cold ones:…”

Section: Discussionmentioning

confidence: 99%

“…RA gradation does not always meet the requirements of technical specifications, and virgin aggregates and filler powders need to be added. Lyu et al [6], for example, suggested a potentially effective mix design made up of 3.8% bituminous emulsion, 2% cement, 80% RA, and 20% virgin aggregates.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies have shown that the multistress creep and recovery (MSCR) method is the most appropriate for measuring the rutting resistance performance of asphalt binder. Indeed, it is widely accepted that, compared to the existing superpave rutting factor G * /sin δ (δ � phase angle), nonrecoverable creep compliance J nr following the MSCR test is more closely related to the rutting resistance performance of asphalt mixture [6].…”

Section: Introductionmentioning

confidence: 99%

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Rheological Properties Comparing Hot and Cold Bituminous Mastics Containing Jet Grouting Waste

Veropalumbo

Russo

Viscione

et al. 2020

Advances in Materials Science and Engineering

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The use of reclaimed asphalt pavement is a practice that is adding significant environmental value to road technologies, not only due to the reduction of materials sent to landfill but also because of the mechanical properties of the reclaimed asphalt (RA) that can be reused. This research focuses on the rheological properties of hot and cold bituminous mastics made up as follows: (1) hot mastics mixed with limestone filler (LF) and bitumen, (2) hot mastics, made from bitumen mixed with jet grouting waste (JW), a mixture of water, cement, and soil derived from land consolidation work in underground tunnels, and (3) hot mastics mixed with LF and JW as filler and bitumen. Three different ratios (0.3, 0.4, and 0.5) of filler per unit of neat bitumen (B50/70) were studied. The same number was used for mixing cold mastics, by using an appropriate laboratory protocol designed since the adoption of a cationic bituminous emulsion. A total of 18 mastics were prepared and investigated. The comparison was carried out using the frequency sweep (FS) test, analysing shear modulus G∗, applying the multistress creep and recovery (MSCR) test (40°C and 60°C) as well as the delta ring and ball (ΔR&B) test, focusing on two main issues: (1) the stiffening effect caused by the filler type used for mixing each mastic, and (2) a comparison, in terms of stiffening effects and nonrecoverable creep compliance (Jnr) of hot and cold mastic performance to highlight JW reuse in mastics. The results showed that the best G∗ performance at test temperatures higher than 30°C is given by cold mastic after 28 days of curing time when JW is added to LF and bitumen. The lowest Jnr value was 40°C and 60°C for the same mastic.

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Grey target optimization and the mechanism of cold recycled asphalt mixture with comprehensive performance

Cited by 59 publications

References 27 publications

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture

Rheological Properties Comparing Hot and Cold Bituminous Mastics Containing Jet Grouting Waste

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