Fluid Field Research Articles

Optimizing Urban Ventilation in Heritage Settings: A Computational Fluid Dynamics and Field Study in Zhao’an Old Town, Fujian

This study investigates the optimization of urban ventilation in Zhao’an Old Town, Fujian, through the integration of Computational Fluid Dynamics (CFD) simulations and field measurements. The findings underscore the critical roles of spatial layout indicators, such as the Frontal Area Index (FAI), Opening-to-Facade Ratio (OFR), and Building Volume Density (BVD), in influencing wind flow and thermal performance. The FAI was identified as the most influential factor in shaping airflow, while the OFR and BVD highlighted the importance of open spaces and balanced building density for natural ventilation and thermal comfort. Practical strategies, such as optimizing building orientations, increasing facade permeability, and leveraging natural cooling elements like the Dongxi River, are proposed to address ventilation challenges while preserving the town’s cultural and historical integrity. Unlike previous studies, this research combines CFD simulations with summer field measurements to provide a highly accurate and contextually relevant evaluation of wind flow dynamics in compact urban environments. By systematically analyzing the interplay between urban morphology and ventilation efficiency, this study offers actionable recommendations for improving outdoor comfort in heritage settings. The outcomes serve as a valuable reference for sustainable urban planning, contributing to the development of strategies that balance environmental performance with the preservation of Zhao’an Old Town’s unique cultural heritage.

Artificial neural networks computing system for Ree-Eyring hybrid nanofluid flow over a solar panel sheet: Hamilton–Crosser model

Background: The utilisation of solar radiation for generating thermal energy has garnered a significant amount of attention, especially with the rising demand for sustainable power and heating sources. Nanofluids appeared as promising options for enhancing the efficiency of solar-thermal systems owing to their superior heat transmission properties. In this aspect, the present research deals with Ree-Eyring hybrid nanofluid ( SWCNT − MWCNT / H 2 O ) flow in the presence of thermal radiation effect and shape factor to examine the thermal behaviour in solar panels. Additionally, the innovation lies in the field of artificial neural networks and fluid flow analysis as an integrated approach. Methodology: The considered physical interpretation is stated in the form of nonlinear partial differential equations. To facilitate the computation process, the governing equations turned into nondimensional ordinary differential equations with the help of invariant transformations. The converted equations are treated scientifically using the NDSolve methodology, which automatically adjusts the step size. In further, an artificial neural network-based multi-layer perceptron deploying the Levenberg–Marquardt model is employed to forecast the measurements of physical quantities. Core Findings: The markable outcomes from this advanced work imply that the stretching surface has an important role in analysing the thickness of the boundary layer. The improving Weissenberg number enhances the boundary layer thickness, leading to a magnification in the momentum field of the non-Newtonian fluid. In addition, thermal radiation is captured as a second significant influence on temperature distribution. It follows that enhancing the Radiation parameter upsurges the thermal layer. The variation of the volume fraction of nanoparticles resulted in higher temperatures due to the Hamilton–Crosser model, which involves the cylindrical shape of the nanoparticles. Validation: The validation of the current work is explored by comparing it with the existing literature in certain instances. The incorporation of multi-layer perceptron for hybrid nanofluid delivers the performance capacity of high prediction with the error 4.83E−06, 1.11E−10 and 2.4E−08. Applications: The existing optimisation approach provides a new perspective on solar-powered offshore, solar vehicles, solar-powered charging stations, solar power greenhouse and solar water pump implementation.

Gadolinium oxide-decorated graphene oxide-based dual-stimuli-responsive smart fluids.

Gadolinium and its compounds have attracted attention for application in various fields owing to their dielectric and magnetic properties; however, using gadolinium compounds has not yet been reported in the field of smart fluids. Herein, gadolinium oxide (Gd2O3)-based composites were used to develop dual-stimuli-responsive smart fluids. The resulting Gd2O3 nanoparticle (NP)-decorated graphene oxide (Gd2O3/GO) composites responded to external electric and magnetic fields due to the presence of GO and Gd2O3, respectively. The rheological properties of the electro-magneto-rheological (EMR) fluids under electric and magnetic fields were subsequently investigated. The magnetic response of the EMR fluids was enhanced with increasing Gd2O3 content; however, the electric response was reduced. Thus, the Gd2O3 content of the composites played an important role in the rheological properties of the EMR fluids. The electro- and magneto-responsive properties of the composite material were tunable owing to the instability of the electrostatic interactions between the composite particles. Moreover, the fabricated EMR fluids exhibited a higher dispersion stability than the GO-based electro-rheological fluid because of the hydrophobic oleic acid coating on the Gd2O3 NPs. This study demonstrates the potential of expanding the material selection for developing smart fluid systems.

Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow

<p>The mathematical formulation of fluid flow problems often results in coupled nonlinear partial differential equations (PDEs); hence, their solutions remain a challenging task for researchers. The present study offers a solution for the flow differential equations describing a bio-inspired flow field of non-Newtonian fluid with gyrotactic microorganisms. A methanol-based nanofluid with ferrous ferric oxide, copper, and silver nanoparticles was considered in a stretching permeable cylinder. The chemical reaction, activation energy, viscous dissipation, and convective boundary conditions were considered. The Casson fluid, a non-Newtonian fluid model, was used as flowing over a cylinder. The fundamental PDEs were established using boundary layer theory in a cylindrical coordinate system for concentration, mass, momentum, and microorganisms' field. These PDEs were then transformed into nonlinear ODEs by applying transforming variables. ODEs were then numerically solved in MATLAB software using the built-in solver bvp4c algorithm. We established an artificial neural network (ANN) model, incorporating Tan-Sig and Purelin transfer functions, to enhance the accuracy of predicting skin friction coefficient (SFC) values along the surface. The networks were trained using the Levenberg–Marquardt method. Quantitative results show that the ferrous ferric oxide nanofluid is superior in increasing Nusselt number, Sherwood number, velocity, and microorganism density number; silver nanofluid is superior in increasing skin friction coefficient, temperature, and concentration. Interestingly, heat transfer rate decreases with the magnetic and curvature parameters and Eckert number, whereas the skin friction coefficient increases with the magnetic parameter and Darcy–Forchheimer number. The present results are validated with the previous existing studies.</p>

Measurement and analysis of fish pond water temperature field in summer based on fiber Grating string.

To solve the problems of low detection efficiency and inability to adapt to distributed measurement in traditional detection methods, a water temperature field detection system based on a fiber Bragg grating string was designed. In this system, six fiber Bragg gratings with different center wavelengths are connected in series on a single fiber optic cable based on wavelength division multiplexing technology. The fiber Bragg grating string is encapsulated in stainless steel tube and vertically fixed in the measured water body of the fish pond. The space division multiplexing technology is employed to collect information from multiple fiber Bragg grating strings. Water temperature measurement experiments were conducted in the summer pond environment. The experimental results show that the daily variation curve of temperature in each water layer of the fish pond is relatively smooth and approximates a cosine function with a 24-hour period. In summer, the daily average water temperature in the pond is no more than 1°C higher than the average air temperature. The difference between the maximum and the minimum water temperature is approximately 2°C. During the daytime, the temperature gradually decreases from the surface to the deeper water layers, whereas at night, the temperature variation among the water layers is minimal. As depth increases, the amplitude of the water temperature curve oscillations gradually decreases, exhibiting exponential decay. However, the peak time gradually lags behind. There is a correlation between the temperatures of the water layers in the fish pond, and the smaller the distance between the water layers, the stronger the correlation. The experimental results obtained in this study are highly significant for real-time services in aquatic planting and aquaculture. Additionally, this measurement method can provide valuable reference and guidance for measuring temperature fields in other fluids.

An all-in-one microfluidic cryopreservation system and protocols with gradually increasing CPA concentration.

In regular biosample cryopreservation operations, dropwise pipetting and continuous swirling are ordinarily needed to prevent cell damage (e.g. sudden osmotic change, toxicity and dissolution heat) caused by the high-concentration cryoprotectant (CPA) addition process. The following CPA removal process after freezing and rewarming also requires multiple sample transfer processes and manual work. In order to optimize the cryopreservation process, especially for trace sample preservation, here we present a microfluidic approach integrating CPA addition, sample storage, CPA removal and sample resuspension processes on a 30 × 30 × 4 mm3 three-layer chip. The sample solution could be added into CPA solution with pre-generated increasing concentration to decrease possible osmotic damage. Utilizing specially designed microfluidic structure and fluid field analysis, on-chip sample enrichment and CPA removal were achieved. A novel dead-end micro valve strategy with a simplified control module was applied and evaluated to assist on-chip mixing and sample pellet resuspension. The entire biosample cryopreservation process was also performed that verified the functions of the integrated microfluidic platform. Altogether, this developed platform could be an effective approach to realize automatic, all-in-one, low-damage cryopreservation operation.

Polymercationic Drilling Fluids for Well Construction in Challenging Mining and Geological Conditions

Background: Oil and gas well drilling involves the use water- and hydrocarbon-based drilling fluids for flushing. While hydrocarbon solutions offer several advantages—such as preventing rock softening on the wellbore walls, reducing the formation of caverns due to instability in clay rocks, and dissoving salts (like halite, sylvinite, and bischofite), and preserving the natural reservoir properties of productive formations—they also have significant drawbacks. These disadvantages are related to the properties of the dispersion medium, which limits their overall application. The dispersion medium in hydrocarbon solutions consist of compounds that are both environmentally and flammable, such as kerosene, diesel fuel, olefins, various oils, etc. Increasing concern from government and environmental organizations regarding the environmental impact of drilling fluids using hydrocarbon dispersion medium have promted the industry to focus on water-based solutions. Despite several significant disadvantages, water-based drilling fluids are still more in demand than hydrocarbon ones. Although there is a preference for hydrocarbon systems, approximately 85% of all drilling fluids used worldwide today are water-based. This study focuses on a new approach in the field of water-based drilling fluids: the development, creation and implementation of polymer cationic systems. The idea of developing new water systems involves creatng polymer cationic working fluids that combine the beneficial properties of hydrocarbon and aqueous solutions. Aim: To research and develop modern polymer cationic drilling fluids for well construction in the Republic of Kazakhstan. Materials and methods: Polymer cationic drilling fluids were selected as the objects of study. To address the research objectives, experiments were conducted under both laboratory and field conditions. Results: This article presents the findings of laboratory tests and field trials conducted in the fields of the Russian Federation and the Republic of Kazakhstan. Conclusion: For the first time in global practice, stable polymer cationic drilling fluids have been developed and successfully tested, combining the advantages of aqueous and hydrocarbon systems. Both theoretical and practical principles for managing the properties of polymer cationic solutions have been established. The application of modified polymer cationic drilling fluids in well construction at the at the Astrakhan field and the Uzen field has demonstrated their high performance. This innovation has enabled the prevention of production isuues, increased mechanical speed of drilling, improved wellbore condition, reduced cavern porosity, and successfully completed the construction of over 20 wells. Additionally, it facilitated implementation of high-density solutions for killing brine and other related tasks.

One-Way CFD/FEM Analysis of a Fish Cage in Current Conditions

This study explores the hydrodynamic behaviour of a fish cage in a steady current by employing a fluid–structure interaction model with one-way coupling between a fluid solver and a structural model. The fluid field around the fish cage is predicted using a computational fluid dynamics solver, while the stress and deformation of the netting are calculated using finite element structural algorithm with solid elements reflecting their real geometry. The fluid velocity and hydrodynamic pressure are calculated and mapped to the structural analysis model. The fluid–structure interaction model is validated by comparing drag force results with published experimental data at different current conditions. Instead of modelling the netting of the fish cage as porous media or using lumped mass methods, the complete structural model is built in detail. The analysis of the fluid field around the nets shows that the change in the current condition has a limited impact on the flow behaviour, but the increase in the current velocity significantly enhances the magnitude of the drag force. This study reveals a reduction in flow within and downstream of the net, consistent with prior experimental findings and established research. Mechanical analysis shows that knotted nets have better performance than knotless ones, and although fluid pressure causes some structural deformation, it remains within safe limits, preventing material failure.

Analysis of hydrodynamic and loss characteristics of hydrofoil under the effect of tip clearance

Tip leakage flow widely exists in fluid machinery, which affects the unit's mainstream flow state and induces significant flow loss. This study explores the relationship between vortex motion and hydraulic loss in the fluid field of single hydrofoil and tandem double hydrofoils under the effect of tip clearance. The validation work indicates that the simulation results in this study align with previous experimental findings, verifying the accuracy of the method employed herein. Further analysis reveals that: (1) The existence of clearance can induce a series of vortex structures such as tip leakage vortex(TLV), tip separation vortex(TSV), hairpin vortex(HV), and wingtip vortex(WTV). The length of TLV is greatly affected by increase of clearance width. The TLV and TSV undergo three stages of generation, development, and dissipation during the fluid flows though hydrofoil, greatly affecting flow stability. (2) Vortex motion is accompanied by significant turbulent pulsation, resulting in entropy production and inducing hydraulic loss. The calculation results indicate that approximately 75% of the loss is generated in the zones of midstream and downstream(V2+V3), where the vortex structure is full developed and the vortex motion is violent. Additionally, the loss caused by turbulent dissipation term accounts for 98%, while the loss caused by viscous dissipation accounts less 2%. (3) The loss in single hydrofoil is approximately positively correlated with the clearance width, while it fluctuates with the increase of width in tandem double hydrofoils.

Three‐dimensional modeling of electromagnetic field and fluid flow during solidification of an aluminum alloy in a pulsed magnetic field

AbstractThree‐dimensional finite element models were built to describe the distribution of electromagnetic fields and fluid fields under a low frequency low voltage time‐dependent pulsed magnetic field. The simulation results showed that eddy current circling around the axis of the melt can be induced by pulsed magnetic field. Periodic positive‐negative Lorentz force in the melt was induced from the interaction between the current and magnetic field. The effects generated by the pulsed magnetic field included vibration, fluid flow and Joule heat. The melt flowed in the form of a multi‐circle and the fluid velocity was composed of a base component and a pulse component. The temperature in the melt was homogeneous because of the fluid flow. Melt temperatures were measured and compared with the simulated results during solidification process of aluminum alloy A356 (Al−Si alloy), which qualitatively confirmed the decrease of temperature gradient. Moreover, the effects of material resistivity and electromagnetic parameters of the pulsed magnetic field were investigated. Materials with smaller resistivity took larger electromagnetic force. The fluid flowed much faster under larger excitation current density and frequency. Finally, the grain refinement mechanisms under the pulsed magnetic field were analyzed.

Fluid and thermal effect on temperature-dependent power increase of electric vehicle's permanent magnet synchronous motor using compound water cooling method

Taking advantage of compound housing water jacket (HWJ) and hollow-shaft water jacket (SWJ) cooling based on the temperature-dependent power of permanent magnet synchronous motor (PMSM) is a solution for enhanced electric vehicle (EV) performance. The fluid and temperature field of a 40 kW PMSM at three typical continuous working points were studied, covering low to high speeds of EVs. The influence of different coolant flowrates on power of motor was obtained by multi-physics field coupling analysis method. The impact of current control modes was also investigated. 3D computational fluid dynamics (CFD) conjugate heat transfer calculation combined with 3D lumped parameter thermal network (LPTN) was adopted to calculate the flow and temperature. Temperature-dependent material properties were taken into consideration in electromagnetic finite element analysis (FEA). The models were modified and validated by experiments. Once compounding SWJ on the basis of a strong HWJ cooling, the PM temperature can continue to decrease over 20 degC. The insensitive characteristic of PM temperature towards SWJ flow rate was observed. Under constant current control mode, 3.8 %, 6 % and 4 % PMSM power enhancement by compound cooling were proved at three typical working points. Under current open-loop, 7 %, 16 %, and 10 % increases with compound cooling were confirmed.

A framework for phenotyping rubber trees under intense wind stress using laser scanning and digital twin technology

Rubber trees in coastal habitats are exposed to a high degree of wind stress. An algorithm-hardware synergetic methodology was developed for investigating and predicting rubber tree phenotyping excited by strong winds. The framework includes (1) a custom-designed industrial fan that recreates a variable airflow field at wind speeds of 15, 30 and 45 m/s coupled with a terrestrial laser scanner and bundled motion sensors to acquire point clouds and vibration data; (2) a graphic model that approximates tree canopies based on foliage clumps with phenotypic traits that are derived from point clouds captured while trees are subjected to aerodynamic drag; and (3) the wind characteristic parameters of forest canopies were calculated by a developed forest-specialized k-ε turbulence model combining the constructed tree models and grid-scale subdivision of the wind fluid field. (4) A digital twin model that incorporates detailed tree phenotypic traits and considers plant mechanical characteristics was established, depicting the related wind-induced actions of target trees under various wind influences. The results show that tree crowns with spreading forms are prone to yield larger pendulum amplitudes than compact crowns, but trees directly exposed to wind exhibit greater crown volume reductions than trees in sheltered areas. Within tree canopies, a one-fold increase in inlet wind speed intensified crown compression (approximately 17 % decrease in crown volume), generated 2.1-fold pressure gradients and increased turbulence kinetic energy by approximately 60 %. Moreover, the entire scenario of the adaptation of experimental trees to wind perturbations was visually restored using digital twin techniques, serving as an integral behaviour dataset for further data-driven decision-making. In summary, this paper presents a comprehensive methodology that can decipher the phenotypic manifestations of trees' reactions to wind hazards, with potential applications in phenotyping or envirotyping studies designed to evaluate the wind resistance properties of rubber trees.

Unlocking electrodialysis efficiency with spacer mesh geometry and material conductivity via finite element analysis

AbstractSpacer meshes in electrodialysis (ED) play a crucial role in influencing fluid and electric field distributions during mass transfer. This study employed finite element analysis using real‐world parameters to explore how spacer mesh geometry and material affect mass transport. Comparisons among different wire mesh configurations revealed increased fluid velocity near mesh wires and reduced electric field intensity nearby, enhancing overall transport efficiency. Increasing mesh count or wire diameter notably improves transport, with optimal results achieved when wire orientation aligns with fluid flow. Additionally, the study showed that spacer mesh conductivity significantly influences ED transport, particularly when it exceeds the conductivity of the solution. These findings advance the design and application of spacer meshes, offering valuable insights for future developments in ED technology.

Understanding the nonlinear behavior of Rayleigh–Taylor instability with a vertical electric field for perfect dielectric fluids

It is well known that, influenced only by gravity, the fluid interface is unstable when a light fluid supports a heavy fluid and is stable when a heavy fluid supports a light fluid. The situation becomes much more complicated when a vertical electric field is externally applied to the dielectric fluids. We present a nonlinear perturbation solution for an unstable interface between two incompressible, inviscid, immiscible, and perfectly dielectric fluids in the presence of vertical electric fields and gravity in two dimensions. Our nonlinear stability analysis shows that even when the linear theory indicates that the interface is stable, this system is actually unstable. The destabilization effects of the vertical electric field always dominate when gravity provides stabilization effects. This is true even when the applied vertical electric field is very weak. Analytical expressions for the overall amplitude and velocity of the interface are derived up to an arbitrary order in terms of the initial perturbation amplitude and are displayed explicitly up to the fourth order. A comparison study between the predictions of the nonlinear perturbation solution and the numerical results shows that the derived solutions capture the primary nonlinear behavior of the unstable fluid interface. By analyzing the electrical force at the interface, we provide theoretical explanations for the nonlinear phenomena induced by the vertical electric field.

Transmedicalism's seduction: Normative gender, affectual productions, and white trans legitimacy

AbstractThis article uses feminist autoethnographic techniques to reflect on a set of interactions between a trans theorist and interlocuter I interviewed for my research, who I call Beth, and myself. In this work, I analyze how medical discourses of transgender transition, particularly that of transmedicalism, functions as an outgrowth of white supremacy. In this ethnographic vignette, binary [white] trans transition promises a coherent gender identity via recourse to anti‐Blackness, rather than to cisheteronormativity. I argue that the binary assumptions built within transmedicalist approaches to trans life introduce gender not as an identity or even social phenomenon, but rather as a kind of successful or unsuccessful discursive and visual claim‐making. These claims are reliant on whiteness and the ways in which white bodies can become invisibly normatively gendered because Black people are gendered as nonnormative. Contesting the boundedness of gender present within popular American conceptions, this series of interactions illustrates a fluid field of conceptual gender which relies on affective connections that mobilize through and across bodies in order to produce certain kinds of normativity.

Improving finishing uniformity using fluid field vibration in abrasive water flow polishing of inclined hole

Improving finishing uniformity using fluid field vibration in abrasive water flow polishing of inclined hole

Research on Course-Changing Performance of a Large Ship with Spoiler Fins

The poor maneuverability inherent to large ships is a non-negligible problem that restricts the development of the shipping industry, as large ships can only cruise at an excessively conservative speed when they encounter complicated traffic conditions; nevertheless, ship collision accidents still occasionally occur. In the present study, the novel concept of spoiler fins for modern large ships is proposed. In order to assess their effectiveness in enhancing ship maneuverability, a KRISO container ship (KCS) was selected to carry a pair of spoiler fins, after which a simplified simulation approach for saving the calculation resource was designed for ship collision avoidance conditions, and a full-scale numerical model, including the ship hull, fin, and fluid field domain, was established. Transient-state hydrodynamic forces were calculated during collision avoidance maneuvers using the CFD method; the pressure and velocity contours around the ship were demonstrated; and the ship motion trajectories under different initial ship speeds were simulated and predicted through the adoption of overset mesh and 6-DOF dynamic mesh techniques. Eventually, the improved course-changing performance, dependent on the spoiler fins, was validated.

Linking human cerebral and ocular waste clearance: Insights from tear fluid and ultra-high field MRI

Impaired cerebral waste clearance (i.e., glymphatics) is evident in aging and neurodegenerative disorders, such as Alzheimer's disease, where an impaired waste clearance system could be related to the accumulation of pathological proteins (e.g., tau). One marker of impaired cerebral clearance is the abundance of enlarged perivascular spaces (PVS). Preclinical studies propose a similar clearance system in the eye, driven by intraocular pressure (IOP). This cross-sectional pilot study explores the link between ocular and cerebral waste clearance by examining the association between MRI-visible PVS, tear fluid total-tau, and IOP.Thirty cognitively healthy participants, all aged over 55 years, underwent 7 Tesla MRI, with PVS visually rated in the centrum semiovale (CSO) and basal ganglia. Tear fluid was collected using paper Schirmer's strips and analyzed for total-tau using enzyme-linked immunosorbent assay. IOP was measured using non-contact tonometry. Partial Spearman's correlation coefficients of eye and brain markers were calculated, adjusted for age, sex, tear fluid-wetting length, and hemispheric region of interest volume.Higher CSO PVS scores in the left and right hemisphere were associated with higher levels of tear fluid total-tau. Higher CSO PVS scores in both hemispheres were related to lower ipsilateral IOP. The exploratory results suggest that higher tear fluid total-tau and a reduced driving force of ocular waste clearance are connected to impaired cerebral waste clearance in cognitive healthy individuals. This study connects the potential ocular glymphatic system to the cerebral waste clearance system. Clarifying waste clearance biology and validating eye biomarkers for cerebral waste clearance could provide treatment targets and diagnostic opportunities for neurological diseases.

The Aerodynamic Assessment and Shot Point Position Accuracy of UAV Seismic Source

An unmanned aerial vehicle (UAV) seismic source, suitable for complex terrains due to its eco-friendly, cost-effective, and efficient nature, operates by hovering and releasing impact objects to generate seismic waves. The aerodynamic behavior of these impact objects is vital for shotpoint position accuracy and drag magnitude. Excessive drag will result in the loss of seismic source energy, whereas the deviations of the shotpoint position will disrupt the geometric structure of the observation system, significantly impacting the quality of seismic data acquisition. Through theoretical calculations, the influencing factors of air resistance and cross-wind deflection are analyzed. Air resistance increases with the increase in mass, cross-sectional area, speed, and drag coefficient. Increasing the mass and throwing height can increase the upper limit of the output, but after the air resistance and gravity are balanced, the output kinetic energy of the drone’s seismic source will no longer increase when the throwing height is increased. Using computational fluid dynamics simulations and field tests, this study examines the aerodynamics of four prevalent impact object designs. The results show that shuttle and spherical structures have the least drag during descent and are less influenced by crosswinds, thus being optimal for this application. Field measurement data are also presented for reference.

An improved efficient adaptive method for large-scale multi-explosives explosion simulations

Shock wave caused by a sudden release of high-energy, such as explosion and blast, usually affects a significant range of areas. The utilization of a uniform fine mesh to capture sharp shock wave and to obtain precise results is inefficient in terms of computational resource. This is particularly evident when large-scale fluid field simulations are conducted with significant differences in computational domain size. In this work, a variable-domain-size adaptive mesh enlargement (vAME) method is developed based on the proposed adaptive mesh enlargement (AME) method for modeling multi-explosives explosion problems. The vAME method reduces the division of numerous empty areas or unnecessary computational domains by adaptively suspending enlargement operation in one or two directions, rather than in all directions as in AME method. A series of numerical tests via AME and vAME with varying nonintegral enlargement ratios and different mesh numbers are simulated to verify the efficiency and order of accuracy. An estimate of speedup ratio is analyzed for further efficiency comparison. Several large-scale near-ground explosion experiments with single/multiple explosives are performed to analyze the shock wave superposition formed by the incident wave, reflected wave, and Mach wave. Additionally, the vAME method is employed to validate the accuracy, as well as to investigate the performance of the fluid field and shock wave propagation, considering explosive quantities ranging from 1 to 5 while maintaining a constant total mass. The results show a satisfactory correlation between the overpressure versus time curves for experiments and numerical simulations. The vAME method yields a competitive efficiency, increasing the computational speed to 3.0 and approximately 120,000 times in comparison to AME and the fully fine mesh method, respectively. It indicates that the vAME method reduces the computational cost with minimal impact on the results for such large-scale high-energy release problems with significant differences in computational domain size.