Low-Temperature Performance and Evaluation Index of Gussasphalt for Steel Bridge Decks

Ye, Hongyu; Wang, Xuancang; Fang, Naren; Su, Ziyuan

doi:https://doi.org/10.1155/2019/2951412

Advances in Materials Science and Engineering

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Abstract Introduction Results and Analysis Conclusions Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2019 | Article ID 2951412 | https://doi.org/10.1155/2019/2951412

Low-Temperature Performance and Evaluation Index of Gussasphalt for Steel Bridge Decks

Hongyu Ye,¹Xuancang Wang,¹Naren Fang,¹and Ziyuan Su²

Academic Editor: Antonio Caggiano

Received18 Oct 2018

Revised19 Dec 2018

Accepted14 Jan 2019

Published25 Feb 2019

Abstract

Gussasphalt is widely used in steel deck pavement in cold regions; thus, it should have good low-temperature performance. A method for evaluating the low-temperature performance of gussasphalt is presented in this paper. Low-temperature bending, bending creep, and splitting tests were used to study the performance of different types of gussasphalt. The sensitivity and correlation between low-temperature indices obtained from three methods were compared and analyzed with sensitivity factors and the grey relational coefficient, respectively, and the low-temperature evaluation index and standard of gussasphalt in cold regions were determined. Flow, penetration at 50°C, low-temperature bending, and bending fatigue tests of the trabeculae were carried out after secondary mixing of gussasphalt asphalt concrete. Degradation of the material performance after different storage times was studied. Finally, taking the strain energy density as the main control index and considering the fluidity, the high-temperature performance, fatigue characteristics, technical requirements for storage, and mixing time of gussasphalt in cold weather after two mixing procedures are discussed.

1. Introduction

Gussasphalt (GA) is widely employed in the construction of steel bridge deck pavement due to its ability to form via self-flow without compaction, its high compactness after forming, water resistance, and good compatibility with steel deck plate deformation [1–4]. The wide application of GA in cold areas motivates the development of methods for evaluating its low-temperature performance [5–7].

Scholars have conducted research on the low-temperature performance of asphalt mixtures and their evaluation indices [8–10]. The US SARP Program proposed using the low-temperature bending Young’s modulus and creep strain rate [11]. Pszczola et al. [12] used a bending beam creep test to evaluate the low-temperature performance of asphalt mixtures. Fan et al. [13] evaluated the low-temperature performance of asphalt concrete using a semicircle bending (SCB) test. Wu et al. [14] analyzed the high-temperature performance and low-temperature performance of layered silicate modified asphalt concrete with a three-point bending test, rutting test, and SHRP rutting test. Gao et al. [15] used indirect tensile tests to evaluate the low-temperature performance of asphalt-concrete containing basalt fiber. Morea et al. [16] used the wheel tracking test (WTT) to evaluate the rut performance of materials with a given gradation and different binders. Pei et al. [17] analyzed the contribution of steel fibers to the crack resistance of asphalt concrete at various temperatures with trabecular bending tests. Hao and Liu [18] explored the low-temperature performance of asphalt mixtures using restrained stress tests and proposed evaluating the low-temperature crack resistance of an asphalt mixture based on frost crack stress. Yang et al. [19] conducted laboratory tests and concluded that the low-temperature stiffness of an asphalt mixture can be used to accurately evaluate crack resistance of ordinary asphalt mixtures at low temperature. Liu et al. [20] proposed that the bending strain energy density and freeze-break temperature obtained from low-temperature bending tests can be used to characterize the low-temperature performance of a superpave mixture. Although aforementioned research includes a series of studies that focused on the low-temperature performance of the mixture in China and foreign countries, there is still no unified standard control index for evaluating low-temperature design of GA mixture [21, 22], especially regarding the use of GA as pavement material in steel bridge decks. Determining an appropriate index for low-temperature performance that can ensure the pavement material can meet the needs of different regions is an urgent problem to be solved [23].

Aiming at the problem of insufficient research on the low-temperature performance of GA in cold areas, the low-temperature performance of GA with 15% and 30% Trinidad Lake asphalt (TLA) admixtures by weight and three types of GA gradations was studied using low-temperature bending, bending creep, and low-temperature splitting tests. Evaluation methods and indices were determined by analyzing the correlation between different low-temperature evaluation indices and their sensitivities to different gradations and TLA ratios. Fluidity, penetration at 50°C, low-temperature bending, and trabecular bending fatigue tests of GA after secondary mixing were applied to samples taken from a GA transport vehicle (COOKER). The degradation of GA after various storage and mixing times was examined. The storage time, mixing time, and technical requirements of GA in cold areas were determined.

2. Low-Temperature Performance Test of GA

2.1. Technical Properties of Raw Materials

Modified asphalt + TLA was used as an asphalt binder, and two TLA ratios with total weight of 15% and 30% were used for blending. The technical indicators of GA are shown in Table 1. The properties of the aggregate and mineral powder are shown in Tables 2–4.

2.2. Gradation Selection

2.2.1. Gradation

GA10 refers to GA with 9.5 mm maximum aggregate size. The rate of GA10 aggregate passing through key sieve holes (defined as 2.36 mm and 1.18 mm) was adjusted based on the median aggregate size [22, 24, 25]. We subsequently proposed three gradation schemes. The passage rate and gradation curve of the aggregate sieve holes are shown in Figure 1.

The gradation curve shows that gradation 1 exhibits higher passing rate through all sieve holes based on the median gradation value, and the proportion of fine aggregate is higher. Gradation 2 exhibits lower passing rate through all sieve holes based on the median gradation value, and the proportion of coarse aggregate is higher. Gradation 3 has a larger passing rate through key sieve holes (2.36 mm and 1.18 mm) based on the median gradation value.

2.2.2. Asphalt Content

Aggregates with gradations 1, 2, and 3 were selected for further testing. Referring to a survey in the literature [26], the optimum asphalt content was determined from fluidity [27] and penetration tests at 40°C for asphalt-concrete ratios of 8.2%, 8.5%, 8.8%, and 9.1%.

Penetration tests were conducted at 40°C with a penetration tester. 70.7 × 70.7 × 70.7 mm³ specimens were placed in a water bath at 40°C for 1 h. First, a 20 N load was applied to the specimens, and the dial indicator was adjusted to zero. Then, a 490.5 N load was applied to the specimens, and the dial indicator readings were recorded at different times (from 1 min to 60 min). The penetration rate at 30 min was taken as a baseline penetration rate, and the difference between the penetration rates at 60 min and 30 min is defined as the penetration increment. The test instruments and specimens are shown in Figure 2.

(a)

(b)

According to the Japanese pavement test method [26], the fluidity of GA should range from 3 to 20 s and the penetration should range from 1 to 4 mm. The fluidity and penetration of GA were determined to be 16 s and 1.5 mm, respectively.

The fluidity and penetration test results at 40°C are shown in Figure 3.

Figure 3 shows that the average asphalt-concrete ratios in gradations 1, 2, and 3 are 8.49%, 8.53%, and 8.50%, respectively. The average value of the optimum asphalt content determined from the three gradations was 8.5%. Therefore, an asphalt-concrete ratio of 8.5% was chosen as the best value for further testing.

2.2.3. Test Scheme

According to the proportion of lake asphalt used in GA, asphalt materials are divided into 15% TLA + 85% modified asphalt and 30% TLA + 70% modified asphalt. Table 5 shows six schemes that were used to test asphalt mixtures prepared with an 8.5% oil-stone ratio and the three gradations listed.

2.3. Test Method

Each sample was tested using the above 6 test schemes.

2.3.1. Low-Temperature Bending Test

Low-temperature bending tests were performed using an electronic universal testing machine. The test instrument is shown in Figure 4. A 300 × 100 × 50 mm³ beam specimen was placed in an environmental box, and the temperature was maintained at −10°C for 1 h. A 1 kN load was applied in the center of the span at 50 mm/min until the specimen was destroyed [24, 28]. The test was repeated five times.

In order to comprehensively reflect the strength and strain of the pavement materials, the ultimate bending strain energy density was added as a comprehensive index to reflect the bending tensile strength and strain of GA from an energy perspective.

The area enclosed by the stress-strain curve up to the peak value along the curve is the ultimate bending strain energy density of the GA mixture, as shown in Figure 5.

The bending tensile strength, bending tensile strain, and ultimate bending strain energy density were determined using the stress-strain curve obtained from the low-temperature bending test.

2.3.2. Bending Creep Test

The bending creep test was performed using an electronic universal testing machine. Bending tests were conducted at 0°C using 250 × 30 × 35 mm³ trabecular specimens, and the flexural tensile strength was tested in each scheme. 10% of the corresponding flexural tensile strength was selected as the test load for each specimen, and the trabecular specimens were tested at 0°C in each scheme. The stable period in the deformation curve during the test was allowed to exceed 20 min. The resulting bending creep rate was measured and calculated [24, 28]. The test was repeated five times.

2.3.3. Low-Temperature Splitting Test

Low-temperature splitting tests were performed using an electronic universal testing machine. 101.6 × 63.5 mm² standard Marshall specimens were placed in a constant temperature flume for 1.5 hours at −10°C. A 100 kN load was applied at 1 mm/min until the specimens were destroyed. The maximum load and failure strain were recorded.

The splitting strength, ultimate tensile strain, and damage stiffness modulus were calculated, respectively, using the following equations [28]:where is the splitting strength (MPa), is the ultimate tensile strain, is the damage stiffness modulus (MPa), is the damage load (N), is the specimen height (mm), and is Poisson’s ratio ( when the test temperature was less than 10°C). is the transverse total deformation during failure loading (mm), where [24, 28]. The test was repeated five times.

3. Results and Analysis

3.1. Using Ultimate Bending Strain Energy Density to Evaluate Low-Temperature Performance

The bending tensile strength, bending tensile strain, and ultimate bending strain energy density in the six test schemes were obtained from low-temperature bending tests, as shown in Figure 6.

(a)

(b)

(c)

Figure 6(a) shows that the best low-temperature performance is observed in Scheme 1 when the bending tensile strength is used to evaluate the low-temperature performance of GA. The bending tensile strength values in Schemes 2 through 6 are 12.21%, 4.81%, 26.64%, 28.13%, and 7.33% lower than the bending tensile strength in Scheme 1, respectively.

Figure 6(b) shows that the best low-temperature performance is observed in Scheme 3 when the bending tensile strain is taken as the evaluation index. The bending tensile strain values in Schemes 1, 2, 4, 5, and 6 are 9.01%, 21.60%, 23.39%, 35.51%, and 14.24% lower than those in Scheme 3, respectively.

The bending tensile strength and strain results are inconsistent. This inconsistency arises because crack formation in GA at low temperature is related to the strength of the material and its deformability. If the material is highly deformable, it will not crack easily even if its strength is low. Therefore, using only the bending tensile strength or strain to evaluate the low-temperature crack resistance of an asphalt mixture has some limitations.

Figure 6(c) shows that the best low-temperature performance is observed in Scheme 3 when the ultimate bending strain energy density is taken as the evaluation index. The strain energy density values in Schemes 1, 2, 4, 5, and 6 are 15.76%, 27.42%, 26.85%, 40.29%, and 20.61% lower than those in Scheme 3, respectively. The corresponding strain energy density of gradations 1, 2, and 3 decreased to 32.82%, 25.00%, and 18.51% when the TLA content increased from 15% to 30%, respectively. It can be seen that the low-temperature performance of GA decreases significantly as the TLA blending ratio increases. This is because ash content in TLA significantly affects the low-temperature performance, which degrades the low-temperature performance of GA at high TLA blending ratio. At a given TLA mixing ratio, gradation 3 exhibits the best low-temperature performance. The strain energy density of gradations 1 and 2 is 7.38% and 25.59% lower than that of gradation 3 at 15% TLA blending ratio, as well as 23.67% and 31.52% lower than that of gradation 3 at 30% TLA blending ratio, respectively. This is because cohesion between fine particles is better than that between coarse particles. Crack development is hindered in material with fine particles. A crack in a sample with a higher content of fine aggregate requires more energy to expand to the same depth. However, when the total content of fine aggregate is too large, the low-temperature crack resistance of the mixture will be affected by uneven shrinkage of coarse and fine aggregate. Therefore, gradation 3 has the best anticracking performance at low temperature due to the passing rate through 1.18 mm and 2.36 mm sieve holes.

3.2. Using Bending Creep Rate to Evaluate Low-Temperature Performance

The GA creep rate was measured in each test scheme, and the results are shown in Figure 7.

Figure 7 shows that the best low-temperature performance is observed in Scheme 3 when the bending creep rate is taken as the evaluation index. The bending creep rate in Schemes 1, 2, 4, 5, and 6 is 2.74%, 8.14%, 15.95%, 19.19%, and 5.65% lower than the value in Scheme 3, respectively. The results are consistent with those obtained from evaluating the ultimate bending strain energy density. When the proportion of TLA increased from 15% to 30%, the bending creep rate for gradations 1, 2, and 3 decreased to 11.36%, 10.98%, and 5.65%, respectively. For a given TLA blending ratio, the low-temperature performance for different mixing levels agrees with the results obtained from the bending strain energy evaluation.

3.3. Using Damage Stiffness Modulus to Evaluate Low-Temperature Performance

The splitting strength, ultimate tensile strain, and damage stiffness modulus from the six schemes were obtained from low-temperature splitting tests. The results are shown in Figure 8.

(a)

(b)

(c)

The low-temperature splitting test results show that a greater damage stiffness modulus degrades the deformation capacity of the mixture, increasing the likelihood of fracture. In other words, the low-temperature performance is worse. Therefore, the damage stiffness modulus was selected as the evaluation index. Figure 8(c) shows that the damage stiffness modulus of gradations 1, 2, and 3 increases by 23.78%, 23.53%, and 6.60% when the TLA content increases from 15% to 30%, respectively. Scheme 3 exhibits the best low-temperature performance. The damage stiffness moduls from Schemes 1, 2, 4, 5, and 6 is 3.40%, 10.74%, 27.98%, 36.79%, and 6.60% higher than the values from Scheme 3, respectively. This is consistent with the results from the low-temperature bending tests and bending creep tests.

4. Low-Temperature Evaluation Index for GA in Cold Regions

4.1. Evaluation Methods for Existing Asphalt Mixtures

According to “Specification for Design of Highway Asphalt Pavement” of China [29], the limit bending tensile strain obtained from a low-temperature bending test is currently used as the evaluation index of low-temperature crack resistance in asphalt mixtures. It is also used to evaluate the low-temperature performance of GA in China [24]. The specific requirements are shown in Table 6.

4.2. Sensitivity Analysis between Low-Temperature Evaluation Indicators

The test results show that the bending tensile strain, bending strain energy density, bending creep rate, and damage stiffness modulus exhibit the same evaluation results for different types of GA at low temperature. However, the sensitivity of the four indicators to different TLA content and gradation variations are different. The selected evaluation index should be sufficiently different for various types of GA, which can highlight the differences of low-temperature properties. Therefore, we analyzed the sensitivity of the 4 indices to different types of GA at low temperature.

The sensitivity of the low-temperature evaluation index for a mixture is calculated using the following equation [30]:where is the sensitivity of the low-temperature evaluation index and is the value of scheme .

The results of four indices are shown in Table 7.

Table 7 shows that variations in strain energy density are most distinguishable for different types of GA, followed by bending tensile strain, while variations in the bending creep rate are least distinguishable. According to the sensitivity analysis, bending strain energy density is more sensitive than bending tensile strain to distinguish GA with different gradation and TLA content. Therefore, the bending strain energy density measured from low-temperature bending tests at −10°C should be used as the low-temperature evaluation index of GA.

4.3. Correlation Analysis between Low-Temperature Evaluation Indicators

According to Section 4.1, the bending tensile strain is adopted as the evaluation index of low-temperature performance in Chinese code [24, 29]. Therefore, on the basis of analyzing the sensitivity of the indexes, we analyzed the correlation between strain energy density, bending creep rate, damage stiffness modulus, and bending tensile strain.

The bending tensile strain adopted in Chinese code was selected as the reference data, and the strain energy density, bending creep rate, and damage stiffness modulus were recorded for comparison. The correlation coefficient between each index and flexural strain was determined by calculating the grey relational coefficient.

After dimensionless processing of the data, the correlation coefficients between the reference sequence and the comparison sequence are calculated usingwhere is the correlation coefficient of scheme , , and are the two-level minimum and maximum differences, respectively, and is the resolution coefficient.

The grey relational coefficients between the comparison and reference can be calculated using equation (4). The results are shown in Table 8.where is the grey relational coefficient between the comparison sequence and the reference sequence.

Table 8 shows that the strain energy density has the largest grey relational coefficient with bending tensile strain, followed by bending creep rate and damage stiffness modulus. The correlation between damage stiffness modulus and bending tensile strain is much smaller than the other two indices.

4.4. GA Strain Energy Density Control Standard

Through the analysis of sensitivity and correlation, strain energy density is finally used as the evaluation index to establish a functional relationship with the bending tensile strain required by the code [24]. Linear fitting was used to establish the relationship as shown in Figure 9. The fitting results are shown in Table 9. Snedecor’s F-distribution was used to analyze variance in the data, as shown in Table 10.

Tables 9 and 10 show that the value is 0.00119, indicating that strain energy density is significantly correlated with bending tensile strain. The coefficient of determination between strain energy density and bending strain is R² = 0.93039, which indicates that the regression functions for the two indices fit well. The corresponding strain energy density in each section in Table 1 was calculated using the fitting function relating strain energy density and bending strain. The control standard for GA strain energy density is shown in Table 11.

5. Storage Stability of GA in Cold Area

GA production and construction are conducted at high temperature and in a lowoxygen environment; thus, it is difficult to qualitatively analyze performance degradation [31, 32]. Therefore, the performance of GA prepared with different mixing times should be tested such that the transportation and storage requirements of GA in cold areas can be determined.

GA specimens were sampled from the special transport vehicle (COOKER) at the construction site of a steel box girder bridge deck project of Jining South Circle Highway in Wulanchabu City. The GA performance indices were tested for these specimens. GA continued mixing for a period of time in the COOKER truck before paving. Therefore, in order to simulate an actual paving situation, after initially mixing in the COOKER vehicle for 40 minutes, the mixture was regarded as GA after completion of the second mixing. The mixed GA was stored and stirred for 1 to 8 h in 1 h increments. The stored specimens were then used to test the fluidity of the mixture and form the specimen.

After standing for 1 day at room temperature, the formed specimens were tested for penetration, low-temperature bending, and trabecular bending fatigue at 50°C.

This article refers to the high-temperature evaluation method for GA in China and foreign countries. Penetration tests at 40°C are used as a high-temperature evaluation method in Germany. Penetration tests at 60°C were used to evaluate the high-temperature performance of GA from the Hong Kong-Zhuhai-Macao Bridge in China [30, 31]. In addition, the project operating temperature ranges from −25 to 50°C, and the design temperature of the Hong Kong-Zhuhai-Macao Bridge ranges from 0 to 60°C. Therefore, penetration tests at 50°C were used to evaluate the high-temperature performance of GA. The total penetration and penetration increment obtained from the test results were used as the high-temperature performance evaluation indices. The test was introduced in Section 2.2 and was conducted at a test temperature of 50°C.

The fluidity, penetration at 50°C, penetration increment at 50°C, bending strain, strain energy density, and fatigue life obtained from the above tests are shown in Figure 10.

(a)

(b)

(c)

(d)

Figure 10(a) shows that the storage mixing time significantly affects the fluidity of GA. The aggregate and asphalt gradually mix evenly when stored/mixed from 1 to 4 h, and the dispersion tends to be stable. The fluidity of GA fluctuates between 8 and 12 s, showing good construction and workability, and fluidity is greatest when the storage/mixing time is 3 h. Aging becomes obvious when the storage/mixing time exceeds 4 h; the brittleness of the binder increases, and the fluidity decreases. Based on changes in GA fluidity, paving should be carried out within 5 to 5.5 hours after the completion of GA secondary mixing. The construction and workability requirements will not be met if the storage/mixing time exceeds 6 hours.

The GA penetration and increment results in Figure 10(b) show a downward trend when the stirring time is less than 4 h, indicating that the aging rate of GA is greater than the performance decay rate. When the storage/mixing time exceeds 4 h, GA penetration and its increment increase rapidly. This indicates that the material performance decay rate has exceeded the aging rate, thus degrading high temperature stability. The best spreading time of GA is between 3 and 4 h after the second stirring.

Figure 10(c) shows that the bending strain and strain energy density of GA decrease as the mixing time increases. This is primarily due to the volatilization of light components in GA in the ultrahot and hypoxic environment, thus hardening of the asphalt binder and decreasing cohesion. Figure 10(c) shows that the storage/stirring time has a minor influence on bending strain. The bending strain decreases from 11690 to 10587 when the storage time is extended from 1 to 8 h. This bending strain value still meets the standard use requirements.

The storage time has a significant effect on the strain energy density. The strain energy density decreases from 8.71 MPa to 4.85 MPa when the storage time increases from 1 to 8 h. The relationship between strain energy density and storage time is shown in Figure 10(c). Considering the low-temperature index requirement in Table 12 and the strain energy density, paving construction should be completed within 5.2 hours after the completion of secondary mixing.

Figure 10(d) shows that the fatigue life of GA initially increases and then decreases as stirring time increases. The fatigue life reaches its maximum value when the stirring time is 3 h. This is because the fatigue life of GA is affected by mixing uniformity and aging. The fatigue life increases gradually when mixing is more uniform. The homogeneity of the GA mix before 3 hours has a major effect on fatigue life. GA gradually mixes evenly as the storage time increases and reaches the best mixing effect at 3 hours; thus, the fatigue life is maximized. After 3 hours, aging primarily affects the fatigue life. GA gradually ages and the fatigue life decreases as the storage time increases. The fatigue life of GA reduces as the stirring times increases. Among them, the fatigue life corresponding to the “3 h to 4 h” and “5 h to 6 h” sections is most obvious. In order to ensure the fatigue performance of GA, the GA mixing and storage times should be reduced to as low as possible during construction.

In summary, considering the fluidity, strain energy density, high-temperature performance, and fatigue life of GA, the recommended GA technical requirements after completion of secondary stirring are shown in Table 12.

6. Conclusions

Low-temperature bending, bending creep, and splitting test results were used to evaluate the low-temperature performance of two kinds of TLA admixtures and three types of GA gradations. The low-temperature evaluation index of GA in cold regions was obtained from our test results. Degradation of the performance of GA mixtures after secondary mixing was studied.(1)The result shows that the low-temperature performance of GA decreases as the TLA content increases. The low-temperature performance of a fine gradation is better than that of a coarse gradation. The performance can be improved by adjusting the aggregate passing rate through 1.18 mm and 2.36 mm sieve holes.(2)The sensitivity of bending tensile strain, bending strain energy density, bending creep rate, and damage stiffness modulus to different types of GA were analyzed. And the grey correlation analysis of bending tensile strain and other index was carried out. We recommend that strain energy density be used as a low-temperature evaluation index for GA in cold regions.(3)The degradation of GA performance after secondary mixing at high temperatures is in low-oxygen conditions was studied. Strain energy density was taken as the main control index while considering the fluidity, high-temperature performance, and fatigue requirements of GA. The storage mixing time required during GA transportation in cold areas was recommended based on these results.

Data Availability

The test data used to support the findings of this study have been deposited in the Hindawi (Advance in Materials Science and Engineering) repository. The test data are included within the article and can be made freely available.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

This research was funded by Construction of Science and Technology Projects by the Ministry of Communications of China (2013 318 J08 220) and the Inner Mongolia Autonomous Region Transportation Science and Technology Project of China (NJ-2018-23).

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Copyright © 2019 Hongyu Ye et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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