Study on the Interaction of Hot Air Heating Parameters for Asphalt Pavement Based on the Response Surface Method

Xiao, Ruofu; Hou, Leiming; Gu, Haiwei; Jiao, Shengjie

doi:10.1007/s13369-021-06360-6

Cited by 4 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the traditional desirability function method, the robust optimization desirability function method [ 26 ] reduces the sensitivity of the target to noise factors by selecting the level combination of controllable factors to improve the robustness of the target and make the target performance more stable and reliable. The method takes the range R i ( i =1, 2 … m ) to convert a specific robust desirability function d ri , with the value ranging from 0~1.…”

Section: Resultsmentioning

confidence: 99%

Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings

et al. 2022

View full text Add to dashboard Cite

Backfill of mined-out areas in Carlin-type gold mines always encounters the challenges of ultra-fine tailings, low backfill strength and difficult slurry transportation caused by fine tailings. To understand the influence of slurry mass concentration, waste rock content, and cement-sand ratio on the cemented backfill strength and fluidity, influential factors were determined by range analysis of orthogonal proportion experiments. Response surface methodology (RSM) was used to analyze the influence of each factor on response, and the backfill strength and slump were optimized using a robust optimization desirability function method. The results show that the cement-sand ratio has the highest effect on the backfill strength, and the slurry slump is dominated by the slurry mass concentration. The interaction between waste rock content and the cement-sand ratio significantly impacts the slump, while the interaction between the slurry mass concentration and the cement-sand ratio has a positive correlation with the backfill strength. The ultra-fine tailings cemented backfill proportion was optimized by using multi-response robust parameters as 68.36% slurry mass concentration, 36.72% waste rock content and 1:3 cement-sand ratio. The overall robust optimal desirability was 0.8165, and the validity of multi-response robust parameter optimization was verified by laboratory tests.

show abstract

Section: Resultsmentioning

confidence: 99%

Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Convective Heat Transfer Coefficient In Bridge Engineeringmentioning

confidence: 99%

“…The Solaimanian empirical formula is often used to calculate the convective heat transfer coefficient of an asphalt pavement surface in engineering (Mallick et al, 2009; Solaimanian and Kennedy, 1993; Xiao et al, 2021). where T a refers to air temperature (K); T s is the asphalt surface temperature (K), which needs to be between 6.7°C and 27°C; T m is the average temperature of T a and T s (K); and v (m/s) is wind speed and ranges within 0.8–8.5.…”

Section: Convective Heat Transfer Between Bridges and External Enviro...mentioning

confidence: 99%

Review on convective and radiation heat transfer between bridges and external environments

Zhou,

Wanyan,

2024

Advances in Structural Engineering

View full text Add to dashboard Cite

The heat exchange between bridges and external environments is the primary cause of the temperature effect on bridges. The complexity of the two-phase (gas–solid) heat transfer mechanism, the diversity of the surface characteristics of bridge materials, and the uncertainties of the environment in which bridges are located make the numerical calculation of the heat exchange between bridges and external environments difficult. Several studies have been conducted by scholars around the world. In this work, the research on convective and radiative heat exchange between bridges and external environments is surveyed, analyzed, and summarized. The influencing factors and calculation methods of bridge temperature are examined, and the convective heat transfer and radiation mechanisms, theoretical calculations, and experimental measurement methods used to investigate the relation between bridges and external environments are summarized and analyzed. The value determination methods for convective heat transfer and radiation absorption coefficients in the calculation of the bridge temperature field are summarized. In addition, the problems and shortcomings of current research are evaluated, and future research directions are identified and discussed.

show abstract

“…Among massive backfill parameters, backfill strength is critical to maintaining the stability of stopes and rock mass adjacent to the mined-out areas. Under the condition of constraint strength, the proportion of backfill materials can be optimized by using the multi-objective function method to obtain the best economic benefit [28].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Function Optimization of Cemented Neutralization Slag Backfill Strength Based on RSM-BBD

et al. 2022

View full text Add to dashboard Cite

Tailings produced in the beneficiation of Carlin-type gold deposits are characterized by fine particle size and high mud content. When neutralized with wasted acid generated by pressurized pre-oxidation, the tailings turn to neutralized slag and perform as a novel backfill material. To understand the influential behavior of variable factors on the strength and its optimization of cemented neutralization slag backfill, RMS-BBD design test was carried out with 56–60% slurry mass fraction, 12.5–25% cement/(neutralization slag + waste rock) (i.e., C/(S+R)) and 30–40% waste rock content. A modified three-dimensional quadratic regression model was proposed to predict the strength of cemented neutralization slag backfill. The results showed that backfill strength predicted by the modified ternary quadratic regression model was in high coincidence with the data of backfill mixture tests. C/(S+R) was predominant in backfill strength with regard to every single influential factor throughout the curing age, and the mass fraction of slurry had a significant effect on the later strength. From the perspective of economic and engineering operation, a multi-objective function method was further introduced to optimize the backfill strength. The optimal mixture proportion of cemented neutralized slag backfill slurry was: 58.4% slurry mass fraction, 32.2% waste rock content, and 20.1% C/(S+R). The backfill strength of this mixture proportion on days 7, 28 and 56 was verified as 0.42, 0.64 and 0.85 MPa, respectively. RSM-BBD design and multi-objective function optimization proposed a reliable way to evaluate and optimize the strength of neutralized slag backfill with high mud content.

show abstract

Study on the Interaction of Hot Air Heating Parameters for Asphalt Pavement Based on the Response Surface Method

Cited by 4 publications

References 43 publications

Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings

Multi-Response Robust Parameter Optimization of Cemented Backfill Proportion with Ultra-Fine Tailings

Review on convective and radiation heat transfer between bridges and external environments

Multi-Objective Function Optimization of Cemented Neutralization Slag Backfill Strength Based on RSM-BBD

Contact Info

Product

Resources

About