Radial Radius Research Articles

Error Analysis and Correction of ADCP Attitude Dynamics under Platform Swing Conditions

The Acoustic Doppler Current Profiler (ADCP) on a platform generates rotational linear velocity due to dynamic factors in attitude changes, leading to measurement errors in vessel and water flow velocities. This study derives and analyzes these errors, focusing on factors such as emission angle, transducer position, water depth, and measured depth, while also accounting for the variation in linear velocity and radial direction during each transmit–receive pulse cycle in the simulations. A method is proposed that introduces the concept of an equivalent radial radius to correct vessel and flow velocities, specifically designed for the common scenario where the ADCP is installed on the central longitudinal section of a vessel undergoing free roll motion. This method is suited for shallow water conditions without waves, with measurements taken vertically downward. It uses least squares fitting with an exponentially decaying sinusoidal model to process low-sampling-rate inclinometer data from the ADCP. This approach requires only the processing of measured data based on existing ADCP hardware, without the need for additional equipment. Field tests in a pool demonstrate that the proposed method significantly reduces vessel velocity errors, outperforming the traditional attitude static correction method.

Dissipative particle dynamics simulation and experimental studies of pseudo-gemini surfactants with different hydrophobic chain lengths

In this work new pseudo-gemini type surfactants are constructed via a simple, energy and material efficient way, using piperazine, propylene oxide and seven different fatty acids: capric, lauric, myristic, stearic, oleic and linolenic. The compounds are characterized by 1H NMR, 13C NMR and FTIR studies. Micellization and adsorption properties of the novel pseudo-gemini surfactants are investigated via surface tension and conductivity measurements. Antimicrobial properties are evaluated using the simple disk diffusion test method. Dissipative Particle Dynamics (DPD) simulations are performed to model aggregation behavior of the new pseudo-gemini surfactants. Experimental studies revealed that Critical Micelle Concentration (CMC) of the obtained pseudo-gemini surfactants are lower than 1 mmol/L. Theoretically calculated CMC values are slightly higher than experimental CMC values. However, overall, very good agreement between theoretical and experimental CMC values is observed. Radial Distribution Function (RDF) and radius of gyration (Rg) plots are analyzed to gain further insight into aggregation of the surfactant molecules in aqueous environment. The DPD model of the pseudo-gemini amphiphiles successfully predicts the most important traits of the aggregation process.

Experimental study of the influence of O2 content on electrical and optical characteristics of He/CF4 APPJ

CF4 is an important source of reactive F-containing species (RFS) so that it is used to mix with inert gas as the working gas of atmospheric pressure plasma jet (APPJ) for material surface fluoridation modification. The addition of a small amount of O2 can increase the density of RFS in He/CF4 APPJ. Therefore, the hydrodynamic, electrical and optical properties of He/CF4/O2 APPJ interacting with the dielectric are experimentally investigated in this paper. Meanwhile, the influence of the excitation source on plasma discharge is discussed in detail and the internal mechanism of the experimental phenomenon in this paper is analyzed using the simulation results based on the model established in the previous paper. It is found that the addition of a small amount of O2 can increase the intensity and accelerate the axial propagation speed of He/CF4 APPJ due to the low ionization energy of O2 and the increase of the Penning ionization between metastable He and O2. With the increase of O2 content, the stability of the discharge is gradually enhanced due to the electron attachment reaction of O2 and the position of the primary current pulse in each half voltage cycle gradually approaches the position of the peak voltage because the increase in O2 content raises the breakdown threshold in dielectric barrier discharge region. In the presence of downstream dielectric, the addition of 0.1%O2 does not significantly change the radial development radius of APPJ due to the higher electron attachment rate and electron collision excitation loss power. The discharge pulse intensity is generally reduced compared to the absence of dielectric and the glow discharge in the strict sense no longer exists. The continuous spectrum intensity of RFS increases with the addition of a small amount of O2 while decreases significantly when O2 content is too high.

Ferromagnetic and ohmic effects on nanofluid flow via permeability rotative disk: significant interparticle radial and nanoparticle radius

The significance of interparticle spacing and nanoparticle radius for the case of single-phase nanofluid flow has often been neglected. Tremendous applications of this phenomenon can be witnessed in different fields, especially in electron microscopes, heat exchange processes, and many others. This research highlights this vital aspect of Ohmic heating in nanofluid flow over a spinning disk. To ensure the novelty, a ferromagnetic nanoparticle (Manganese ferrite) has been incorporated to examine interparticle spacing and particle radius to explore the features of heat transfer. The ferromagnetic nanofluids are vital in carriers for drug delivery systems, in cancer treatment, design of systems for hyperthermia therapy, in microfluidic devices used for chemical synthesis, etc. The quantiles of dimensional equations are converted into dimensionless ones by adopting similarity transformations and to solve highly coupled nonlinear equations numerically, built-in bvp5c MATLAB tool is utilized. The effect of a few revealed factors, the velocity and temperature distributions, are examined via visualization. Furthermore, streamlined plots are also visualized. The outcomes produced showed excellent agreement with those made in the literature in the same direction by assuming some exceptional cases on different gradients. Further, the outstanding results are reported as; the permeability of the surface produces the suction velocity, and the enhanced suction velocity attenuates the fluid velocity in either of the case of pure and nanofluid. The increase in thermal radiation boosts up the heat transfer rate whereas the augmentation in the Eckert number retards it significantly.

Influence of volume expansion in NaCl crystallization on the physical properties and molecular structure of asphalt: A MD simulation study

The pavement damage caused by salt-induced volume expansion is becoming increasingly noticeable. Molecular dynamics (MD) method was applied to evaluate the effects of varied volumes of NaCl crystals on physical properties and structure of asphalt. The effects of NaCl crystals on the compatibility between styrene–butadiene–styrene triblock copolymer (SBS) and asphalt, as well as the influence of SBS on the diffusion coefficient of NaCl crystals in the asphalt system, were investigated alongside their effects on the physical modulus and molecular structure of asphalt. The results show that the solubility parameter of the asphalt blends decreases as the volume of NaCl crystals increases. Specifically, the solubility parameter decreases by 52.5 % for the biaxial crystalline growth of NaCl and asphalt blends compared to the matrix asphalt. The analysis of the ion diffusion coefficient reveals that the primary disruption of NaCl crystals in asphalt blends is due to early Cl- and late Na+ diffusion. Furthermore, the rise in shear modulus of the asphalt blends suggests that the salt erosion process of SBS-modified asphalt is advantageous for its high temperature and shear resistance. The changes in peak radial distribution function and radius of gyration indicate that the inclusion of NaCl and SBS into asphalt is a physical aging process. In this case, SBS incorporation acts as a reinforcement to the asphalt to retard the erosion of NaCl.

Studies of the material erosion and deposition during the wall conditioning processes using quartz crystal microbalance in EAST

To study material erosion and deposition during different wall conditioning processes in the Experimental Advanced Superconducting Tokamak (EAST), two newly developed quartz crystal microbalances (QMBs) at the mid-plane of port C (C-QMB) and port J (J-QMB) with the same radial radius were used for in-situ and real-time measurements during the 2021 autumn experimental campaign. It was found that the material deposition was mainly influenced by the location of the antenna and the power of the ion cyclotron range of frequency (ICRF), rather than the location of the gas inlet, during the wall cleaning with helium plasma and siliconization assisted with ICRF plasma. The higher energy and density of plasma could result in higher deposition rates near the antenna. While, during lithium (Li) coating, the material deposition was greatly influenced by the location of the Li oven due to the deposition of unionized Li atoms. The ICRF power influenced the material deposition behavior far away from the Li ovens. Besides, a stronger effect on impurity suppression was observed with a more uniform deposition trend of Li coating. This necessitates further study on the influence of factors such as the location of the Li oven and ICRF antenna, the temperature of ovens, and ICRF power on the homogeneity of wall conditioning.

Analysis of rotational Doppler shift with multi-ring vortex beams.

Vortex beams (VBs) with orbital angular momentum have shown great potential in the detection of transverse rotational motion of spatial targets which is undetectable in the classical radar scheme. However, most of the reported rotational Doppler measurements based on VBs can only be realized under ideal experimental conditions. The long-range detection is still a challenge. The detection distance based on rotational Doppler effect (RDE) is mainly limited by the scattered signal's signal-to-noise ratio (SNR). In this work, we investigated the influence of multi-ring vortex beams (MVBs) on the rotational Doppler frequency spectrum of scattered light from an object based on RDE and proposed a method of SNR enhancement of RDE signal. Firstly, different types of MVBs composed of a set of single-ring VBs with the same topological charge and different radii are designed, including multi-ring Laguerre Gaussian beam (MLGB), multi-ring perfect vortex beams (MPVB), and high-order Laguerre Gaussian beam (HLGB). Then, the influence of the number of rings and radial radius interval on the intensity profiles of MVBs and rotational Doppler frequency spectra under aligned and misaligned conditions is studied in detail. And the reasons why different types of MVBs lead to different SNR enhancement effectiveness with the increase of rings are also analyzed theoretically. Finally, proof-of-concept experiments were conducted to verify the effectiveness of the SNR enhancement method for RDE signals. The results showed that the amplitudes of the Doppler spectra generated by the MLGB and MPVB are improved substantially with the increase of rings, but the enhancement effect caused by the former is superior to the latter. The gain of HLGB on the RDE signal is the lowest. This study provides a useful reference for the optimization of rotational Doppler detection systems and may be of great application value in telemetry, long-range communication and optical imaging.

Energy Optimization Using Reptile Search in Wireless Sensor Networks

Energy saving in wireless sensor networks (WSNs) is a critical problem for diversity of applications. Data aggregation between sensor nodes is huge unless a suitable sensor data flow management is adopted. Clustering the sensor nodes is considered an effective solution to this problem. Each cluster should have a controller denoted as a cluster head (CH) and a number of nodes located within its supervision area. Clustering demonstrated an effective result in forming the network into a linked hierarchy. Thus, balancing the load distribution in WSNs to make efficient use of the available energy sources and reducing the traffic transmission can be achieved. In solving this problem we need to find the optimal distribution of sensors and CHs; thus, we can increase the network lifetime while minimizing the energy consumption. In this paper, a Reptile Search Algorithm (RSA) for preserving location privacy and congestion avoidance with less delay guaranteed is proposed. With this routing technique, the complete sensor field is divided into different subdivisions and each subdivision elects a target area by computing its transmission distance. The backbone of the dynamic routing protocol consists of a virtual ring called bell nodes and a radial line called tentacle nodes employs more nodes to construct the network. The amount of radial line and radius of the virtual ring in a network are conjointly determined to ease the communication path from the node to sink. The radial line paths are routed directionally and bell nodes are routed with angular directions probabilistically. From the routing path, the tentacle nodes collect the data to dynamic sink which will assure that the information is going to be collected with less delay and attacker cannot guess their positions. The experimental results show that the proposed RSA method accomplishes enhanced performance in terms of energy consumption, packet delivery delay and lifetime.

A study on the multi-objective optimization method and characteristic analysis of installation locations of submersible mixer for sewage

In this study, the performance of submersible mixers in sewage treatment was improved by optimizing the installation position parameters of the mixer. The aim was to enhance the average flow velocity and mixing efficiency in the pool. The study employed ISIGHT software, integrated with Creo Parametric 6.0 software and ANSYS Workbench 2020 software, to analyze the factors affecting mean flow velocity and completed a multi-objective optimized design using Non-dominated Sorting Genetic Algorithm (NSGA-II). The study used the ISIGHT software to analyze the factors affecting mean flow velocity in the pool. The installation position parameters of the submersible mixer were selected as design variables. The study employed Creo Parametric 6.0 software to create a three-dimensional model of the pool and the submersible mixer. ANSYS Workbench 2020 software was used to simulate fluid flow in the pool. The Non-dominated Sorting Genetic Algorithm (NSGA-II) was used for multi-objective optimization. The results of the study indicated an increase of approximately 0.021 m/s in average flow velocity and an improvement of approximately 0.47% in mixing efficiency compared to pre-optimization values. The effective axial propulsion distance and effective radial diffusion radius were significantly increased by 6.71% and 8.33%, respectively, after optimization. The fluid distribution in the pool became more uniform, and the low-speed zone was greatly reduced, resulting in an enhanced flow state of the fluid in the pool and a strengthened mixing effect. The study provides insights into the control of the submersible mixer’s installation position to improve the average flow velocity inside the pool. Automatic optimization of submersible mixer installation locations using the ISIGHT software can effectively improve mixing efficiency, overall plant operating efficiency, and economic benefits in sewage treatment plants. The multi-objective optimization platform based on the ISIGHT platform for wastewater treatment mixer installation location can be successfully applied in engineering practice.

Analysis of Nano-ZnO-Modified Asphalt Compatibility Based on Molecular Dynamics.

Nano-ZnO has a large specific surface area, small particle size, and strong polarity and can be used as an additive to modify the base asphalt. In this paper, the compatibility mechanism between nano-ZnO modifier and asphalt is analyzed. Solubility parameters, interaction energNano-ZnO and mean square displacement of nano-ZnO in matrix asphalt were calculated at different temperatures to study the compatibility of the nano-ZnO modifier and the matrix asphalt. The radial distribution functions and radii of gyration of the asphalt's four components under the action of the nano-ZnO additive were calculated to investigate the effect of nano-ZnO on the molecular structure of the asphalt. The results show that the best compatibility between nano-ZnO and matrix asphalt is observed at 150 °C, especially when the nano-ZnO particle size was 6 Å. The particle sizes of nano-ZnO have little effect on the temperature at which the nano-ZnO-modified asphalt achieved its highest structural stability. Around 150 °C, the nano-ZnO-modified asphalt system with different particle sizes exhibit the highest stability and best compatibility. The addition of nano-ZnO improves the compactness of the asphalt structure and makes the asphalt more stable.

Properties of polymer modified asphalt by polyphosphoric acid through molecular dynamics simulation and experimental analysis

Polyphosphoric acid (PPA) plays an important role in improving the performance of polymer modified asphalt binders. This study aims to understand the modification mechanism of PPA in styrene-butadiene rubber (SBR) modified asphalt and investigate the rheological and chemical properties after modification based on molecular dynamics (MD) simulation and experimental analysis. Unaged and aged SBR asphalt binders with six PPA contents (0, 0.3%, 0.6%, 0.9%, 1.2%, and 1.5%) were prepared and tested. Four modified asphalt system models in different modifying and aging states were constructed in the molecular dynamics process. The calculated molecular dynamics parameters were used to observe intermolecular behaviors and system phenomena. Dynamic shear rheometry (DSR) and Fourier transform infrared (FTIR) spectroscopy were used to characterize rheological and chemical properties respectively. The results showed that the addition of PPA increased the complex modulus (G*) to promote elasticity and stiffness, and then enhanced the rutting resistance of the SBR asphalt binder. Multiple stress creep recovery (MSCR) results revealed that PPA/SBR asphalt had a better high-temperature performance than SBR asphalt due to its excellent creep recovery capability. Besides, the interaction between PPA and asphalt introduced phosphorus-containing functional groups into asphalt. In addition, analysis of the free volume and mean square displacement (MSD) displayed larger and higher molecular weight in PPA/SBR asphalt hindered the diffusion and mobility of the system. The radial distribution function (RDF) and radius of gyration (Rg) were calculated to observe that PPA provided a more ordered and more stable molecular structure. The electron density and potential were estimated to explore the adsorption mechanism of PPA to asphalt or SBR molecules and explain the source of stability and orderliness of the unaged and aged PPA/SBR/asphalt system.

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI.

We enable the estimation of the per-axon axial diffusivity from single encoding, strongly diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation of the per-axon radial diffusivity compared to estimates based on spherical averaging. The use of strong diffusion weightings in magnetic resonance imaging (MRI) allows to approximate the signal in white matter as the sum of the contributions from only axons. At the same time, spherical averaging leads to a major simplification of the modeling by removing the need to explicitly account for the unknown distribution of axonal orientations. However, the spherically averaged signal acquired at strong diffusion weightings is not sensitive to the axial diffusivity, which cannot therefore be estimated although needed for modeling axons - especially in the context of multi-compartmental modeling. We introduce a new general method for the estimation of both the axial and radial axonal diffusivities at strong diffusion weightings based on kernel zonal modeling. The method could lead to estimates that are free from partial volume bias with gray matter or other isotropic compartments. The method is tested on publicly available data from the MGH Adult Diffusion Human Connectome project. We report reference values of axonal diffusivities based on 34 subjects, and derive estimates of axonal radii from only two shells. The estimation problem is also addressed from the angle of the required data preprocessing, the presence of biases related to modeling assumptions, current limitations, and future possibilities.

Novel Approach for Rate Transient Analysis of Fractured Wells from Carbonate Reservoirs with Heterogeneous Natural Fractures.

This paper developed a new methodology for rate transient analysis of fractured wells in carbonate reservoirs. Both the heterogeneity and dual-permeability flow behavior are incorporated into the proposed model, and the fractured carbonate reservoir was simulated with a two-zone composite model. In each zone, a traditional dual-porosity model was applied to describe the characteristics of the natural fractures and matrix. With the Laplace transform, we derived the solution of the mathematical model and plotted new type curves for transient rate decline analysis. Then, the flow regimes were divided and analyzed based on the new type curves. The influences of several critical parameters on transient rate response were also examined. A field case was studied further to demonstrate the precision and application of the proposed method. The results show that the new type curves are mainly composed of eight flow stages. The difference in physical properties (k 2,1, η2,1) between the two zones significantly impacts the transition and boundary-dominated flow regimes. When the values of k 2,1 and η2,1 are smaller, the derivative curve of the transition flow stage will move down, and the duration of this stage on the derivative curve is longer, while the duration of the boundary dominant flow stage will decrease. The dimensionless radial radius of the inner zone (r 1D) can significantly influence the transition flow regime. When r 1D is larger, the production rate and its derivative curve of the transition flow stage will move up, and the duration of this stage will be longer. The results also show that the proposed methodology can effectively fit the field production data. This method can be applied in well productivity evaluation for fractured carbonate reservoirs.

Development of an artificial neural network model for criticizing the burr formation during flat bottom drilling of CuZn38As brass alloy considering cutting tool geometry

The approved laws and regulations on restricting the use of Lead in the products’ chemical composition, have made the industries to come up with development of low-lead brass alloys as an innovative solution during the last years. These alloys are the most predominantly utilized materials in pumping, drinking water industry. However, as alternatives for the conventional brass alloys, they contain lower machinability. Most of the components need to be aesthetic and compact. Therefore, the designed components have complex geometries. Flat bottom drilling is one of the new processes which is generally taken advantage in machining of these components. In this study, artificial neural networks (ANN) modelling, have been deployed to investigate the effects of the cutting tool geometries including axial rake, radial rake angles and edge radius as well as plunging angle to the work material focusing on the burr formation. A multilayer feed-forward ANN using error back-propagation training algorithm has been employed for this purpose. The results revealed possible reduction of burr formation on both the entry and exit sides of the low-lead brass alloy.

Mechanical properties and microstructure of Fuji apple peel and pulp

ABSTRACT The mechanical characteristics of apples are crucial to the mechanization of apple production. In this study, the mechanical characteristics of the Fuji apple with the largest crop yield were studied by testing the tensile strength, compression strength, shear strength, bending strength, hardness, friction coefficient, and microstructure. The obtained minimum values of the elastic modulus, yield strength, shear strength, bending strength, and compressive strength were 5.0 ± 0.52, 2.2 ± 0.15, 0.45 ± 0.02, 0.062, and 2.4 ± 0.21 MPa, respectively, all located at the maximum radial radius of the pulp. The hardness decreased gradually with storage time: the hardness of the pulp after 28 days was 0.16 ± 0.02 MPa. The static friction coefficients against TPU (Thermoplastic Urethane) rubber and aluminum alloy materials were 0.88 ± 0.03 and 0.14 ± 0.003, respectively. The microstructure of the peel and pulp changed significantly after damage. The regular shape was destroyed, and the cells deformed and ruptured. The changes in the microstructure were consistent with the changes in the macromechanical properties, so the reliability of the test data could be verified.

Photometric Investigation of Contact Binary DY Cet Based on TESS Data

We present a photometric analysis of the Transiting Exoplanet Survey Satellite (TESS) light curve of contact binary system DY Cet and the behavior of its orbital period variation. The light curve and published radial velocity data analysis was performed using the Wilson–Devinney code. As a result of simultaneous analysis of the light curve with radial velocity data, the masses and radii of the system’s components were determined as M 1 = 1.55 ± 0.02 M ⊙, M 2 = 0.55 ± 0.01 M ⊙ and R 1 = 1.51 ± 0.02 R ⊙, R 2 = 0.95 ± 0.02 R ⊙, respectively. The degree of contact (f) and mass ratio (q) of the system were determined as 23% and 0.355 ± 0.012, respectively. Orbital period analysis of DY Cet was conducted for the first time in this study. It was observed that the orbital period has a sinusoidal change with decreasing parabola. To explain the orbital period change, mass transfer between components is proposed with the assumption of conservative mass, and the transfer rate was calculated to be dM/dt = 1.1 × 10−7 M ⊙ yr−1. A possible third component is suggested for explaining the sinusoidal change, and the mass of the unseen component was determined as 0.13 M ⊙. The age of the DY Cet system was estimated as 3.77 Gyr.

Numerical solution for circular tunnel excavated in strain-softening rock masses considering damaged zone

Despite the extensive investigation on the stress and displacement distributions in tunnels, few have considered the influences of the damaged zone around a tunnel on the strength and stiffness parameters of the surrounding rock, including the gradual variation in the damaged factor D and dimensionless damaged radius rho^{{text{d}}}, under the effect of excavation disturbance. In this paper, a numerical solution is presented for the stresses and displacement of a circular tunnel excavated in a Hoek–Brown rock mass considering the progressive destruction of the damaged zone. First, the results obtained using the proposed algorithm are compared with those obtained using other numerical solutions, demonstrating a high degree of accuracy through some examples. Second, the influences of the damaged factor D and dimensionless damaged radius rho^{d} on the stresses, radial displacement, plastic radii, and ground response curve are investigated. The results show that, as the damaged factor D increases, the radial displacement and plastic radius increase, whereas the tangential stress decreases. Both the plastic radius and displacement decrease with decreasing rho^{{text{d}}}. This shows that the damaged factor D has a significant effect on tunnel convergence.

Coaxial multi-ring optical vortex generation based on compound spiral phase plates

We propose a new kind of compound optical vortex (COV) generator in this paper. The device consists of an inner spiral phase plate (SPP) and an outer annular spiral phase plate. There is an opaque band between two SPPs. Under the flat-top beam irradiation, concentric multi-ring COV rings with different topological charges in different radial radii can be generated. The theoretical analysis lays a theoretical foundation for the design of the COV generator, and the simulation results prove the effectiveness of the design. The unique characteristics of COV are discussed and some of its potential application scenarios are presented. This work provides a design method for generating COV using compound SPPs, and the advanced COV structure can help to expand the scope of utilization of vortex beam in optical tweezers, optical communication and other fields.

Solvation of gold nanoparticles passivated with functionalized alkylthiols: A molecular dynamics study

Molecular dynamics simulations of gold nanoparticles (NPs) passivated with end-group functionalized alkylthiols, namely CH3, NH2, or COOH in solvents of varying degrees of repulsion-dispersion and electrostatic interactions ranging from strongly polar SPC/E water to modified hybrid water models (H1.56 and H3.00), where the Lennard-Jones contribution to the potential energy is enhanced relative to SPC/E to completely non-polar, decane, are performed. The effects due to solvent reorganization around the NP as a function of the ligand and solvent chemistry are monitored using the NP-solvent pair correlation functions and tetrahedral order parameter. The solvent penetration inside the ligand shell is maximum for decane, indicating better solute–solvent interaction in decane as compared to other solvents. The COOH end-group functionalized NP is observed to break the tetrahedral structure of water molecules more as compared to other NPs used in this study. Radial density profiles and radius of gyration values show significant stretching of the ligands in decane than in the model waters, which is also consistent with the ligand asymmetry parameter. The ligand shell anisotropy for all NPs is maximum in SPC/E water and minimum in decane. The isotropic potential of mean force between two identical end-group functionalized NPs show attractive well depth in vacuum, SPC/E water, and H3.00 modified hybrid water. The implications for self-assembly of passivated gold NPs from aqueous dispersions as well as the dependence of calculated quantities on ligand and solvent chemistry are highlighted.

Using molecular dynamics and experiments to investigate the morphology and micro-structure of SBS modified asphalt binder

The study aimed at investigating the compatibility between styrene-butadiene-styrene (SBS) and asphalt, and the influence of SBS on morphology and micro-structure of asphalt through molecular dynamics (MD) and experiments method. In this work, the solubility parameter and molecular structure parameters of SBS modified asphalt were calculated by Materials Studio software, and its morphology of were investigated by microscope techniques. The results showed that solubility parameter of SBS and asphalt fluctuated along with simulation temperature, and the difference between SBS and asphalt is around 10.5 (J/cm3)0.5, which means these two materials cannot reach a total miscible state, and the scanning electron microscope (SEM) and fluorescence microscope (FM) results on the compatibility between asphalt and SBS corresponding with the simulation results. The interaction simulation on SBS and asphalt indicated that van der Waals interaction makes a significant contribution to non-bond interaction and plays a dominate role in the miscibility between asphalt and SBS. The structure parameters of radial distribution function (RDF) and radius of gyration showed that SBS had an a evident influence on the structure of asphalt molecule, for it increased the tightness of the asphalt and reinforced the ractility of branched-chain of asphalt components. Through AFM test results, we also found that SBS increased the bee-like phase of asphalt, and bring asphalt a better physical properties.