Frequency and Temperature Interactive Effects on Hot Mix Permanent Deformation Using Response Surface Methodology

Haghshenas, Hamzeh F.; Khodaii, Ali; Mehrara, Amir; Dehnad, Mohamad Hosein; Ahari, Arash Saleh

doi:10.1061/(asce)mt.1943-5533.0000894

Cited by 14 publications

(5 citation statements)

References 6 publications

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“…Response surface methodology has been extensively used in the field of civil engineering for experimental design, statistical analysis, and optimization (Deng and Cai 2010;Haghshenas et al 2014;Mollon et al 2009). In particular, DOE can be applied in tailings management since tailings characteristics in most oil-sand and mining industries varies during mining operation and predictions of particle cloud in such systems are challenging.…”

Section: Introductionmentioning

confidence: 99%

Investigations on the dynamics of particle clouds in stagnant water using response surface methodology

Pakzad

Azimi

2017

Can. J. Civ. Eng.

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Disposal of sediments during land reclamation and dredging is an important component in many environmental engineering projects. Dredged material can be discharged into the ambient water either instantaneously to form a particle cloud or continuously to form a slurry jet. This paper presents the results of a laboratory experiments to understand the dynamics of particle cloud in stagnant water. Different independent parameters such as particle size, nozzle diameter, cumulative mass of sand particles, and release height were tested. Due to wide ranges of selected variables and interactions between parameters, response surface methodology (RSM) technique was employed to determine the importance and effectiveness of each parameter on the growth and motion of particle clouds. A narrow range of non-dimensional cloud buoyancy in thermal regime was selected for design of experiments. Particle size was found to be the most significant parameter for the response predictions. RSM results showed that increasing the nozzle diameter from 5 mm to 14 mm slightly increased the cloud width if all other parameters kept unchanged. Statistical analysis of results indicated that the effect of the release height on growth of particle cloud was not significant; however, it was effective on variations of frontal velocity.

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Section: Introductionmentioning

confidence: 99%

Investigations on the dynamics of particle clouds in stagnant water using response surface methodology

Pakzad

Azimi

2017

Can. J. Civ. Eng.

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“…RSM is a collection of statistical and mathematical techniques that are based on an experimental design with the final goal of developing, improving, and optimizing a response variable using minimum experimental effort [11,12,19]. In this method, quality characteristic and input variables are called the response and the independent variables respectively.…”

Section: Introductionmentioning

confidence: 99%

Identification of dominant parameters for stripping potential in warm mix asphalt using response surface methodology

et al. 2015

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In this study, response surface methodology was utilized for creating a continuous response function and optimization of effective variables to improve the tensile strength ratio, as an indicator of stripping potential, using factorial experiment with center composite design. The polynomial regression model equations were proposed based on the regression coefficients calculated for the indirect tensile strength in dry and saturated condition as well as tensile strength ratio. Statistical analyses indicated that all first and second orders plus interactive terms were statistically significant with 90 % confidence level except for interactive terms of bitumen-Sasobit content in tensile strength ratio, and grading-Sasobit content in dry indirect tensile strength. Furthermore, it was found that all first, second and interactive terms were statistically significant for saturated indirect tensile strength.

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“…Usman et al investigated the polyethylene terephthalate fiber and binder content optimization for fiberreinforced asphalt mix using response surface methodology [23]. Haghshenas et al studied the frequency and temperature interactive effects on hot mix permanent deformation using RSM [24].…”

Section: Introductionmentioning

confidence: 99%

Rheological Evaluation of Modified Bitumen by EVA and Crumb Rubber Using RSM Optimization

Dehnad

Damyar

Farahani

2021

Advances in Materials Science and Engineering

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In the present study, ethylene-vinyl acetate (EVA) and crumb rubber (CR) were used as bitumen modifiers. The experiment was designed by response surface methodology (RSM) at different levels of modifier additives based on the central composite design (CCD). Next, the Superpave protocol was followed to evaluate the modified bitumen performance at different temperatures compared with the unmodified bitumen. In this regard, to evaluate at high temperatures, a dynamic shear rheometer (DSR) test was performed, and G ∗ /sinδ index was examined on bitumen samples after aging. Besides, the bending beam rheometer (BBR) test was performed to evaluate the low-temperature behaviour of the modified bitumen according to the SHRP standard based on the creep stiffness and creep rate. The optimal combination of additives was evaluated using RSM and analysis of statistical values to improve the performance properties of bitumen at high and low temperatures. Moreover, based on the DSR and BBR test results, 5.6% of EVA and 3.9% of CR were selected as the optimal values for the modified bitumen behaviour at the high and low temperatures of the mixture.

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Frequency and Temperature Interactive Effects on Hot Mix Permanent Deformation Using Response Surface Methodology

Cited by 14 publications

References 6 publications

Investigations on the dynamics of particle clouds in stagnant water using response surface methodology

Investigations on the dynamics of particle clouds in stagnant water using response surface methodology

Identification of dominant parameters for stripping potential in warm mix asphalt using response surface methodology

Rheological Evaluation of Modified Bitumen by EVA and Crumb Rubber Using RSM Optimization

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