Fluid Speed Research Articles

Investigation on the enhancement of heat transfer in counterflow double-pipe heat exchanger using nanofluids

Particles less than 100 nanometers in size are suspended in a base fluid such as water, oil, and ethylene glycol. These nanoparticles are floating in the nanofluid. The purpose of this study is to research the operation of a counter-flowing, double-pipe heat exchanger using two distinct nanofluids as cooling media. Titanium carbide and carbon nanotubes combine to form alkaline water, a basic fluid. The purpose of this research was to assess the performance of a counterflow double-pipe heat exchanger using water with different concentrations of titanium carbide and carbon nanotubes. Alkaline water had a particle volume concentration of 0.06, and its nanofluid-flow rate was 0.03. Using a heat exchanger, water is heated to 65?C while nanofluids are heated to 35?C, both at a constant input velocity. The speed of both fluids is constant. The findings demonstrate that nanofluid outperforms water in heat absorption across a broad range of flow speeds. Heat exchangers benefit from the improved thermal characteristics of nanoscale fluids.

Numerical and experimental investigations on a bladeless turbine: Tesla's cohesion-type innovation

The design, numerical simulation, manufacturing, and physical experimentation of Tesla's bladeless centripetal turbine for electrical power production are the topics of this research project. The turbine generates rotational motion in the discs by directing pressurized air and water tangentially across parallel smooth disc surfaces. The fluid speed parameter at the nozzle inlet determines the power generated. To ensure optimal mechanical design parameters, SolidWorks design software, fluid dynamics concepts, and machine element design were employed. The numerical simulation software ANSYS CFX was used. The numerical and qualitative findings of the models and physical experiments coincided well. The study revealed that the power production and turbine efficiency were regulated by the input sources and blade size. Variations in the fluid composition between the discs may additionally have an impact on the outcomes. The researchers investigated the connection between input fluid pressure and turbine efficiency, as well as the number of discs and turbine power. The prototype could generate 76.52 W of electricity at 50 bar pressure and 1.01e+05 Reynolds number. The operation was efficiently simulated using CFD, with only a 9.3% difference between experimental and simulated results. Overall, this research provides an in-depth assessment of Tesla's bladeless centripetal turbine. It verifies the design and numerical simulation methodologies used, as well as identifies the essential aspects impacting turbine performance and efficiency. The findings contribute to a better understanding of the turbine's behavior and give ideas for improving its performance.

Analysis Computational Fluid Dynamics in a State of Ballast Loading on a Passenger Ship Prototype

Indonesia, as the largest archipelagic country in the world, has a very favourable geographical position because it is located between the Indian Ocean and the Pacific Ocean. The background of this research stems from the critical importance of effectively managing ballast loading on passenger ships to ensure stability, safety, and operational efficiency during voyages. Traditionally, methods for assessing ballast loading have often relied on empirical formulas or simplified models, which may not fully capture the complex fluid dynamics and structural interactions inherent in modern ship designs. This gap highlights the need for advanced computational tools like computational fluid dynamics (CFD), which can provide a more detailed and accurate analysis of how ballast loading affects the ship’s behaviour. CFD simulations offer the capability to model and analyse complex flow patterns, pressure distributions, and structural responses under various ballasting scenarios. By leveraging CFD, this research aims to enhance understanding and optimize the management of ballast loading on passenger ships, thereby addressing the limitations of traditional methods and advancing the state-of-the-art in maritime engineering practices. The simulation was carried out at different speeds, namely 1 knot, 10 knots, and 20 knots. When moving at a speed of 1 knot, the obstacles encountered have a range of 30–40 cm/s and a maximum speed of 83.0971 cm/s. Likewise, when moving at a speed of 10 knots, the obstacle has a range of 200–400 cm/s and a maximum speed of 766.921 cm/s. Finally, at a speed of 20 knots, facing obstacles with speeds ranging from 400 to 800 cm/s and a maximum speed of 1504.56 cm/s, the ship’s hull remained unaffected in terms of damage. However, the fluid speed magnifies the occurrence of friction.

Effect of non-uniform heat rise/fall and porosity on MHD Williamson hybrid nanofluid flow over incessantly moving thin needle

In this work, a novel enhanced model of the thermophysical characteristics of hybrid nanofluid is introduced. An innovative kind of fluid called hybrid nanofluid has been engineered to increase the heat transfer rate of heat and performance of thermal system. A growing trend in scientific and industrial applications pushed researchers to establish mathematical models for non-Newtonian fluids. A parametric study on theheat transfer and fluid flow of a Williamson hybrid nanofluid based on AA7075-AA7072/Methanol overincessantly moving thin needle under the porosity, Lorentz force, and non-uniform heat rise/fallis performed. Due to similarity variables, the partial differential equations governing the studied configuration undergo appropriate transformation to be converted into ordinary differential equations. The rigorous built-in numerical solver in bvp4c MATLAB has been employed to determine the numerical solutions of the established non-linear ordinary differential equations. It is worthy to note that velocity declines for both AA7075/Methanol nanofluid and AA7075- AA7072/Methanol hybrid nanofluid, but highervelocitymagnitudes occur for theAA7075/Methanol whilethe Williamson fluid parameters increased. It is alsoconcluded that as the porosity parameter isincreased, the flow intensity decreases gradually. It is worthy to note that for both non-uniform heat-rise and fall parameters, the temperature of the fluid gets stronger. Mounting valuesof needle thickness parameter leads to reduction in fluid speed and temperature. It is noticedthat as volume fractions of both types of nanoparticles are augmented then fluidvelocity and temperature amplify rapidly. A Comparison of current and published results is performed to ensure the validity of the established numerical model.

An Autoencoder‐Based Deep‐Learning Method for Augmenting the Sensing Capability of Piezoelectric Microelectromechanical System Sensors in a Fluid‐Dynamic System

Herein, an innovative deep‐learning architecture is proposed to enhance the sensing capabilities of a microelectromechanical system (MEMS) used in fluid dynamic applications. The MEMS sensor comprises a polyvinylidene fluoride flexible (PVDF) piezoelectric flag and a bluff body, with vortex generation influenced not only by the bluff body's geometry but also by the input fluid speed. As a result, mechanical vibrations are induced in the piezoelectric flag, leading to charge displacement and the generation of electrical voltage signals. Through the developed deep learning method, accurate extraction of wind speed and successful classification of turbulence are achieved. Experimental tests in a wind tunnel, involving various wind speeds and bluff body geometries, demonstrate the robust correlation between the extracted continuous manifold in Fourier spectra and wind speed. By incorporating a feed‐forward network alongside the autoencoder, wind speed information even under strong turbulence is extracted. Moreover, the deep learning method's ability to classify different bluff bodies, independent of wind speed, is investigated. The findings reveal a unique capability to fingerprint turbulence and distinguish them for various applications. This research showcases the potential of our deep learning‐based MEMS systems for enhancing fluid dynamic sensing and classification tasks.

Study on cuttings transport behavior in annulus and bottom-hole using CFD-DEM

The increased demand for energy has led to the development of innovative drilling methods and technologies in the oil and gas industry. Inefficient transportation of cuttings causes downhole cleanliness issues, which have drawn widespread attention. One way to overcome cuttings transport inefficiency is to use suitable modeling methods to determine capable drilling parameters that will ensure the effective removal of cuttings particles. In this paper, Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) are combined to deeply investigate the impact of various drill parameters on cutting transport. The effects of cuttings particle size, eccentricity, fluid velocity, drill pipe/bit rotation speed, and bit offset angle are analyzed by studying the velocity of cuttings particles and the spatial distribution of particles in the annulus and bottom-hole. The results show that an increase in eccentricity and particle size reduces the velocity of cuttings particles, with the velocity decreasing more significantly when the eccentricity is greater than 0.5 and the particle size exceeds 2 mm. An increase in fluid velocity and speed of drill pipe/bit significantly increases the velocity of cuttings particles, which has a positive feedback effect on the migration of cuttings particles in the downhole. Bit offset angle leads to changes in the bottom-hole spatial structure and reduces the cuttings transport efficiency. These findings provide a useful strategy for improving cuttings migration and downhole cleaning.

Investigation on displacement efficiency and enhance oil recovery performance of CO2 and CO2-chemical additive composite system flooding using LBM simulation

CO2 flooding is a promising EOR method. Chemical additives reduce oil viscosity and CO2-oil interfacial tension. In this study, we propose a multiphase and multi-component model based on the LBM to examine the effectiveness of CO2 flooding and identify the factors that influence its performance. Additionally, we present a novel approach for simulating CO2-chemical additive composite system (CCAS) flooding by modifying fluid interaction parameters and reducing oil viscosity when exposed to chemicals. A comparison was conducted between the CO2 flooding approach and the CO2-chemical additive compound systems. The results show that the force between fluid molecules has a significant impact on interfacial tension and miscibility, affecting the displacement process. The viscosity and injection speed of the displaced fluid play a crucial role in determining the initial momentum and CO2 displacement performance. Additionally, reservoir rock morphology has an impact on the velocity of fluid molecules, and affects the displacement efficiency. The CCAS flooding has the potential to increase oil recovery by 15% compared to using CO2 flooding alone. Optimizing additive concentration, injection timing, and injection rate can further improve oil displacement efficiency by 5%-10%. Valuable theoretical guidance for applying CO2 chemical additives is provided by these research findings.

Numerical simulation for thermal radiative flow of tangent hyperbolic nanofluid due to Riga plate in the presence of joule heating

In this paper, numerical simulation for the two-dimensional flow of tangent hyperbolic fluid in the manifestation of nanoparticles, heat source and joule heating is considered. For motivation of problem, the role of Riga plate is investigated. Chemical reaction and Brownian motion are the parts of the analysis. The set of PDEs of Tangent hyperbolic nanofluids with swimming germs is converted in to couple of ODEs by employing well-known approach namely shooting scheme. The resulting highly nonlinear and coupled ODEs are solved by using ND solve tool of Wolfram Mathematica 11. Numerical outcome of involving parameters of interest like Lewis number Le, Prandtl number Pr, Chemical diffusion k, Peclet number Pe, Weissenberg number We, Bioconvection Lewis number Lb, nonlinear radiation, Biot number Bi, modified Hartmann number Q and magnetic parameter M on tangent hyperbolic nanofluids velocity f″, temperature θ, concentration φ and density of germs distribution are discussed in the form of graphical trend and tables. We professed that the speed of fluid degenerated for the increasing value of power-law index n and magnetic parameter M. The Nusselt number growths for growing values of the thermophoresis parameter Nt, Biot number Bi and radiation parameter Nr.

Experiments on fluid entrainment and slip in continuous bubble plumes

A series of laboratory experiments are reported in which a continuous stream of bubbles rise from a small source at the base of a tank of water. Using different nozzles, bubble sizes $d$ ranging from 1.2 to 11.6 mm were produced for a number of gas volume fluxes, $Q_b$ , ranging between 1.1 and $21.1\times 10^{-6}\ {\rm m}^3\ {\rm s}^{-1}$ . Within a small distance from the source, the slip speed of these bubbles exceeds the speed of the equivalent single-phase plume with the same buoyancy flux, leading to formation of what we refer to as the ‘slip plume’ regime. Through a combination of high-speed photography, coupled with flow visualisation in the plume and the ambient fluid using dye, we find that the bubble speed and the fluid speed remain nearly constant with height, with the maximum fluid speed being of order $0.30\pm 0.03$ of the bubble speed. Using the filling box method, we also find that the net fluid volume flux in the slip plume increases linearly with distance from the source at a rate $Q_l = \lambda Bz/v_s^2$ , where $B$ is the buoyancy flux of the gas, $v_s$ the rise speed of the gas bubbles, $z$ the distance above the source and $\lambda$ is a constant related to the dimensionless volume of fluid in the wake of each bubble. This slip-dominated flow regime can be understood in terms of kinetic energy imparted to the fluid as the bubbles rise and release potential energy. Further experiments with particle-laden plumes illustrate similar scalings for the volume flux in a particle-driven slip plume once the slip speed of the particles exceeds the bulk speed of the equivalent single-phase buoyant plume with the same buoyancy flux. Near the source the slip speed may be smaller than the plume speed, and the flow follows the classical model for a turbulent buoyant plume, with the transition to the slip regime occurring at a distance $z^*\approx (32\pm 5)\lambda ^{3/2} B/v_s^3$ from the source, where the dimensionless parameter $\lambda$ relates to the dimensionless volume of the fluid wake, which we find varies with the Reynolds number of the particles.

Modelling Air Flow through Pneumatic Valves: A Brief Review with an Experimental Case Study

Compressible flow models are commonly used for describing air flow through pneumatic valves. Because of the difficulties in predicting viscous losses, these models ultimately rely on experimental determination of coefficients. Different equations have been proposed for different fluid speeds, having the sonic fluid velocity as a reference mark. However, one might question whether a much simpler approach, where the fluid is considered as incompressible, would still give good results within the typical range of industrial applications. Moreover, practically all models presuppose that the valve output pressure decreases in time, as in a discharge process. This paper reviews some representative one-dimensional compressible flow models and discusses the appropriateness of using equations based solely on discharging flows. Two experimental circuits, where an air reservoir is pressurized and, subsequently, decompressed, are used for comparison between different flow models. It is shown that a simpler set of equations still produces acceptable results for practical pneumatic applications.

Parametric resonance for pipes conveying fluid in thermal environment

Parametric resonance is a kind of specific fluid-induced vibration for pipes conveying fluid. This paper focuses on revealing the qualitative characteristics of parametric resonances of the pipe with pulsating fluid speed in thermal environment, and compares the differences between the resonance characteristics in subcritical and supercritical regions. According to the generalized Hamilton's principle, the partial-differential-integral governing equation of a straight pipe is established. Under simply-supported boundary conditions, the non-trivial equilibrium configuration is obtained analytically. The governing equation of a supercritical pipe is derived by coordinate substitution on the basis of the new equilibrium configuration. The approximate analytical solution of parametric resonance for a pipe conveying fluid in a thermal environment is obtained by using the direct multi-scale method. The approximate analytical solution is verified to be reliable by using the Runge-Kutta method. The stability bounds of the parameters inducing parametric resonance are investigated via the introduced analytical method. The results show that the influence of temperature increment on sub-harmonic resonance is non-monotonic. In the subcritical region, when the temperature increment increases, the unstable region widens. This means that the system is more prone to parametric resonance, and the response amplitude decreases. In the supercritical region, when the temperature increment increases, the unstable bandwidth decreases, and the response amplitude increases. When viscous damping is increased or the average velocity is decreased, the sub-critical instability region decreases, and the supercritical instability region increases. With the increase in the pulsation velocity, the unstable bandwidth of subcritical and supercritical regions will increase, and parametric resonance is more likely to occur.

Association of Cognitive Polygenic Index and Cognitive Performance with Age in Cognitively Healthy Adults.

Genome-wide association studies have discovered common genetic variants associated with cognitive performance. Polygenic scores that summarize these discoveries explain up to 10% of the variance in cognitive test performance in samples of adults. However, the role these genetics play in cognitive aging is not well understood. We analyzed data from 168 cognitively healthy participants aged 23-77 years old, with data on genetics, neuropsychological assessment, and brain-imaging measurements from two large ongoing studies, the Reference Abilities Neural Networks, and the Cognitive Reserve study. We tested whether a polygenic index previously related to cognition (Cog PGI) would moderate the relationship between age and measurements of the cognitive domains extracted from a neuropsychological evaluation: fluid reasoning, memory, vocabulary, and speed of processing. We further explored the relationship of Cog PGI and age on cognition using Johnson-Neyman intervals for two-way interactions. Sex, education, and brain measures of cortical thickness, total gray matter volume, and white matter hyperintensity were considered covariates. The analysis controlled for population structure-ancestry. There was a significant interaction effect of Cog PGI on the association between age and the domains of memory (Standardized coefficient = -0.158, p-value = 0.022), fluid reasoning (Standardized coefficient = -0.146, p-value = 0.020), and vocabulary (Standardized coefficient = -0.191, p-value = 0.001). Higher PGI strengthened the negative relationship between age and the domains of memory and fluid reasoning while PGI weakened the positive relationship between age and vocabulary. Based on the Johnson-Neyman intervals, Cog PGI was significantly associated with domains of memory, reasoning, and vocabulary for younger adults. There is a significant moderation effect of genetic predisposition for cognition for the association between age and cognitive performance. Genetics discovered in genome-wide association studies of cognitive performance show a stronger association in young and midlife older adults.

Thermal lubrication characteristics of hypoid Gear with non-Newtonian fluids considering roughness

Based on Hertz contact theory and EHL, the model of elliptic contact elastohydrodynamic lubrication considering load, speed, roughness, thermal effect, and shear-thinning effect of non-Newtonian fluids is established. The variation trend of oil film pressure, thickness, and temperature with load, entrainment velocity, and the slide-roll ratio is analyzed. Then, several lubrication states considering roughness, the thermal effect, and the characteristics of non-Newtonian fluid are compared. Compared with the smooth surface, the roughness when RMS is 0.15 μm increases the maximum film pressure (P max) by 8.34%, increases the maximum film temperature (T max) by 7.18%, and reduces the minimum film thickness (H min)by 9.13%. The pressure and temperature are more sensitive to light load. The results are approximate to that of the smooth surface when the entrainment velocity is big enough. The pressure and thickness decrease with the increasing slide-roll ratio. The decreasing speed of the oil film thickness becomes faster as a result of the thermal effect. The roughness and the characteristics of non-Newtonian fluid have a significant impact on temperature.

A new setup for speed of sound measurements and experimental data for nanofluids Al2O3 or Ag with water or ethylene glycol

The speed of sound of four different nanofluids consisting of Ag or Al2O3 nanoparticles and water or ethylene glycol base fluid is measured in the temperature range (298.15–343.15) K and at atmospheric pressure. One aim of this analysis is to learn whether the change from pure base fluid speed of sound to the nanofluid situation is a smooth or disruptive transition when adding nanoparticles. The measurements were conducted on the newly proposed apparatus consisting mainly of function generator, ultrasonic sensor, switch, voltage source, oscilloscope, ultrasonic container and the necessary sensors and equipment for data acquisition. The values for speed of sound were calculated based on the Time of Flight method. Deionised water and ethanol were used to calibrate the apparatus which is additionally tested with pure base fluids water and ethylene glycol and showed excellent agreement with average absolute percentage deviations between experimental and literature data for speed of sound of 0.12% and 0.36%, respectively,. Beside the temperature influence, the influence of the nanoparticle concentration on the speed of sound of nanofluid were investigated and followed. The analysis of the sound velocity allows insight into the molecular level interactions taking place between the nanoparticles and the base fluid molecules of the nanofluid. The decrease in velocity values with the increase of concentration, noticeable in the tested nanofluids, is a result of decrease in nanoparticle-fluid interaction and dominance of particle–particle interaction.

METHOD OF DISCRETE SINGULARITIES FOR ACCOUNTING FOR CONVECTION WHEN MODELING DYNAMICS OF INFECTIOUS DISEASE UNDER DIFFUSION PERTURBATIONS AND CONCENTRATED INFLUENCES

A wide range of various mathematical models have been developed to predict the dynamics of an infectious disease. As a rule, such models do not take into account spatial effects, which are associated with both the uneven distribution of active factors and their convective transfer by the intercellular fluid. The paper proposes a variant of taking into account convection when modeling the process of an infectious disease under conditions of diffusion perturbations and concentrated influences. Based on the reduction of original singularly perturbed model problem with delay to a sequence of problems without delay, an effective step-by-step procedure for numerically asymptotically approximating the solution as a perturbation of the solution of the corresponding degenerate problems is synthesized. To find the velocity field, it is proposed to model the movement of fluid in the intercellular medium as a potential flow in the source-drain system. It is emphasized that this approach can be used for a wide range of configurations of model areas with sufficient variability of boundary conditions. The results of computer modeling are presented, which illustrate the influence of diffusion scattering and convection on the development of a viral disease under the conditions of injections of immunological drugs. It is shown that as a result of diffusion scattering and convective transfer of viral elements, their concentration in the epicenter of infection decreases over time, which leads to a corresponding decrease in the "severity" of the disease. It is also shown that with an uneven field of movement speed of the intercellular fluid, there will be zones with a less intense influx of both own and donor antibodies. As a result, the amount of antibodies available in these zones may be insufficient to neutralize antigens, which may lead to the emergence of new epicenters of infection here. The importance of taking such effects into account, in particular, when forming effective treatment programs, is indicated.

Evaluation of Thermo-diffusion and Diffusion-thermo Phenomenon on the Reactive Micropolar Fluid Motion Over an Extending Device

This articles evaluates thermo-diffusion and diffusion-thermo effects on the motion of hydromagnetic reacting micropolar fluid along an elongated surface with lateral mass flux in porous media. This kind of study includes heat and mass transport of fluids which finds regular applications in various fields of engineering and sciences like porous pipe design, groundwater hydrology, brain blood flow, etc. This body of work also presents a report on thermophoretic phenomenon together with viscous dissipation and heat source. The model equations are firstly transformed from partial derivatives to ordinary ones by the use of some similarity quantities and subsequently tacked numerically. The nonlinearity of the involving equations has compelled the use of stable Runge-Kutta-Fehlberg approach with shooting technique to provide the needed solution. To emphasize and discuss the influence of the primary governing parameters impacting on the flow fields, a variety of graphs have been sketched out and discussed qualitatively. Verification of the numerical code with existing data in literature shows an excellent agreement as checked under limiting conditions and presented in the table. It is evidently shown that the material quantity causes the fluid motion to accelerate whereas the suction term reduces the speed of fluid. Both thermo-diffusion and diffusion-thermo strengthen the heat distribution in the system while the concentration profile declines with chemical reaction.

Random vibration and reliability analysis of fluid-conveying pipe under white noise excitations

Due to the random excitation in the external environment, the fluid-conveying pipe would inevitably undergo random vibration. This paper investigates the random vibration and reliability of simply-supported fluid-conveying pipes under white noise excitations. Dynamic equations of the nonlinear pipe conveying fluid under white noise excitations are modeled by the generalized Hamilton principle. Then probability density functions (PDFs) of the amplitude and energy of the system are determined by using the modified stochastic averaging method. The PDFs of displacement and velocity of the system are also discussed. The accuracy of results is verified by the Monte Carlo method. In addition, the first-passage problem of the pipe system is investigated for the first time. In order to obtain the PDFs of reliability and first failure time of the system, the forward finite difference method is adopted to solve the backward Kolmogorov equation of the system. The effects of different parameters on the amplitude, energy, reliability, and first failure time are investigated. The results show that the amplitude of the system becomes large and the first-passage time is advanced with the increase of excitation intensity or fluid speed. The amplitude of the system is decreased and the first-passage time is delayed with the increase of the damping coefficient.

Effects of entropy generation and magnetic field on blood flow of jeffrey fluid in a catheterized artery: A mathematical study

Catheters are long, hollow, and thin silicone tubes inserted into the bladder, veins, and arteries. The purpose of the current work is to find entropy formation in a blood flow through a non-concentric catheterized artery with stenosis. The model is compressed by the useful limitations of mild stenosis and non-turbulence. We used HPM to discuss work results. Simpson's 3/8 rule and Mathematica's built-in tool combined impedance, shear stress, and the Nusselt number. From a visual representation, we may construct a catheter with a lower radius to minimize fluid speed and a magnetic field to manage flow intensity. Large temperature ratios and Jeffrey parameters reduce entropy formation. The findings of the study may have implications for cardiovascular medical devices.

Dynamics of squirmers in explicitly modeled polymeric fluids (a)

Biological microswimmers such as bacteria and sperm cells often encounter complex biological fluid environments. Here we use the well-known squirmer microswimmer model to show the importance of the local fluid microstructure and non-continuum effects on their swimming speed in different polymeric and filamentous fluids. Surprisingly, we find that different squirmer types move at considerably different speed in filamentous fluids which cannot be explained by existing continuum models, but by considering the local fluid and polymer properties around the squirmers. Furthermore, direct squirmer-polymer interactions slow down in particular pushers by trapping large stiff filaments in a self-generated recirculation region in front of them.

Mixed Heat Transfer in a Double Barrel with Differential Velocity based on CFD-DEM and Experiment

Abstract A double barrel with differential velocity (DBDV) was proposed to improve the mixture quality. Temperature is one of the indexes to evaluate the mixture quality. At present, there are few studies on the heat transfer of DBDV. The heat transfer of particles in DBDV was studied by CFD-DEM to deeply understand the proposed DBDV. The heat transfer process in DBDV was analyzed. The distribution law of temperature field under the coupling effect of particles and fluid was obtained. The influence of fluid speed on particle temperature and the regeneration proportion in DBDV were analyzed and compared with the existing double barrel. And the main heat transfer mode of particles in DBDV was to be obtained. The results show that the mixture temperature in the proposed DBDV is generally higher than that in the existing DB. And the mixture produced by DBDV is not only friendly to the environment, but also the mixture temperature can meet the construction requirements even if more than half of the RAP materials are added to the mixture. Compared with DB, the addition proportion of DBDV is increased by 9.38% - 20.70%. And the reliability of the simulation work was verified by the indoor experiment platform, which lays a foundation for the application of DBDV.