Surface Deflection Research Articles

Можливості стандартних методів випробування дорожніх одягів навантаженням

The standard methods for testing road pavements by loading have been widely applied to assess the road pavements maintenance during design, construction and survey stages and especially for the Pavement Management System purposes. These test methods were classified by the type of an applied load as static loading, cyclic loading or impulse loading tests. The paper reviews the above mentioned test methods from the aspects of their scopes, advantages, and general requirements for testing in accordance with the world-wide experience in road building industry. Static loading shall be positioned as the simplest and low-cost test method that permits the testing of relatively thick pavement constructions but does not allow the measurements of deflection bowl. Cyclic loading is more convenient for thinner pavements testing and, together with surface moduli, permits the measurements of deflection bowl. Impulse loading is the most representative test method that simulates traffic loading most adequately and permits the deflection bowl measurements as well. Impulse load can be applied using “high-weigh” device such as falling weight deflectometer, or light weight deflectometer thus given the possibility for testing road pavements with a monolithic upper layer or an unbound layer (base layer, sub-base, sub-grade layer). Standard methods for testing road pavements by loading were widely implemented to measure the surface moduli, the deflection bowl values and also, for rigid pavements, the load transfer efficiency in an area of joint or crack. Surface moduli and deflection bowl values are effectively used, mainly through the back-calculation processes, to assess the stiffness of pavement layers, the life span of road pavements and also for the project or network level testing of road pavements. These tasks rise as high actual for Ukraine intended to be integrated in the EU transport system, where trucks weighing up to 40 tonnes are permitted for international hauling. Considering the necessity for expansion of network level testing to assess the bearing capacity of road pavements and to set restrictions for trafficking at some critical conditions especially seasonal those, the conclusions state the need to process related national standards as national normative documents aiming on: – implementation of standard international classification of methods for testing the road pavements by loading considering the type of loading; – widening the requirements for proceeding of tests; – improvement the pavement management system. Keywords: road pavement; non-destructive testing; static loading; cyclic loading; dynamic loading.

Modelling aileron and spoiler deflections with the linear frequency domain method (LFD) for subsonic flight conditions

PurposeThis study aims to predict dynamic responses of aileron and spoiler control surfaces in subsonic flight via the use of surrogate models. The prepared reduced order models prove useful when quick estimations for a large number of variations are required.Design/methodology/approachThe linear frequency domain (LFD) method was used for the simulation study. Each surrogate contained a database of 100 control surface dynamic responses over a spectrum of 200 harmonics computed with LFD. To interpolate new results, the DLR surrogate modelling toolbox, SMARTy, was used. The database’s samples were prepared in a Halton sequence, making interpolation reliable. The surrogate’s parameter space was the Mach number, Reynold’s number, angle of attack, control surface deflection angle and the control surface chord length.FindingsThe LFD method proved effective for the mentioned purpose: the surrogates were accurate, up to 15% of relative error, in reproducing dynamic responses of aileron and spoiler deflections at low speed, within the limitations of flow field linearity, as well as surrogate prediction capability. The restrictions of the surrogate, and the reasoning thereof, are also presented in detail in the study. Future load alleviation studies are a potential of the findings here.Originality/valueLFD is an innovative technique for load prediction and alleviation studies. This paper provides a reference for engineers wishing to use the method for the two mentioned control surfaces, or the like.

Calculation and Analysis of Load Stress on Typical Semirigid Base Asphalt Pavement

The linear elastic Bisar software was used to calculate the mechanical properties of a typical semirigid pavement structure. Based on the concept of structural strength coefficient, the fatigue life of each pavement structure layer was deduced. The results show that: (1) the maximum value of deflection was obtained at x=3r/2, the maximum of the surface stress was obtained at X=r/2 and Y=0, and the peak of the principal shear stress at the bottom. (2) At the same time, the horizontal load, road surface deflection, and the maximum stress position of the surfacing surface are invariably applied at the same time. The deflection changes little, and the maximum principal stress increases faster than the maximum shear stress. (3) The cracking order of the structural layer is as follows: shear cracking of surface layer to bending and cracking of surface layer to bending and cracking at the bottom of base layer to bending and cracking at the bottom of semirigid base to bending and cracking at the bottom of the surface layer. The inner edge of a single circle is the destroying source of asphalt pavement, and the initial damage is shear bending failure. Therefore, the durable pavement should consider the principle of structural layer cracking from bottom to top and to prevent the early destruction of the surface layer. (4) The cracking of the base layer will be reflected to the semirigid base and surface layer, which is the first step of structural damage, so strengthening the construction quality of the subbase is an important measure to reduce road damage.

Analysis of LVE behaviour and fatigue damage evolution of asphalt pavements with different interface conditions in an accelerated full-scale experiment

ABSTRACT For better optimization of pavement design and management, accelerated full-scale pavement tests (APT) represent very efficient tools to study pavement behaviour from initial to damaged condition. This paper presents an experimental study where three asphalt pavements with different interface conditions between the asphalt layers were tested in an APT experiment. Asphalt layer strains, FWD deflections, and surface cracking were monitored during the experiment. First, strain signals and pavement surface deflections measured at the beginning of the experiment, were used to characterize the viscoelastic properties of the asphalt layers. Then the measurements were used to analyze the fatigue behaviour of the experimental pavements, and the evolution of their level of damage to traffic. The analysis showed that in such asphalt pavements, asphalt strains, which varied significantly with the increase of load cycles, were not suitable for estimating an ‘average’ asphalt layer damage. In order to monitor the general pavement behaviour, a new damage ratio was introduced, based on FWD back-calculated moduli of the asphalt layers, that allowed to observe a stiffness increase of the asphalt layers at the beginning of the loading due to aging and post-compaction, and then fatigue damage evolution which had a very good correspondence with surface cracking.

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment.

Road pavement condition assessment is essential for maintenance, asset management, and budgeting for pavement infrastructure. Countries allocate a substantial annual budget to maintain and improve local, regional, and national highways. Pavement condition is assessed by measuring several pavement characteristics such as roughness, surface skid resistance, pavement strength, deflection, and visual surface distresses. Visual inspection identifies and quantifies surface distresses, and the condition is assessed using standard rating scales. This paper critically analyzes the research trends in the academic literature, professional practices and current commercial solutions for surface condition ratings by civil authorities. We observe that various surface condition rating systems exist, and each uses its own defined subset of pavement characteristics to evaluate pavement conditions. It is noted that automated visual sensing systems using intelligent algorithms can help reduce the cost and time required for assessing the condition of pavement infrastructure, especially for local and regional road networks. However, environmental factors, pavement types, and image collection devices are significant in this domain and lead to challenging variations. Commercial solutions for automatic pavement assessment with certain limitations exist. The topic is also a focus of academic research. More recently, academic research has pivoted toward deep learning, given that image data is now available in some form. However, research to automate pavement distress assessment often focuses on the regional pavement condition assessment standard that a country or state follows. We observe that the criteria a region adopts to make the evaluation depends on factors such as pavement construction type, type of road network in the area, flow and traffic, environmental conditions, and region's economic situation. We summarized a list of publicly available datasets for distress detection and pavement condition assessment. We listed approaches focusing on crack segmentation and methods concentrating on distress detection and identification using object detection and classification. We segregated the recent academic literature in terms of the camera's view and the dataset used, the year and country in which the work was published, the F1 score, and the architecture type. It is observed that the literature tends to focus more on distress identification ("presence/absence" detection) but less on distress quantification, which is essential for developing approaches for automated pavement rating.

Investigations on the Interfering Factor of Single Synthetic Jet Actuator on Improving the Efficiency of Wing Control Surface

After the deflection of the wing control surface, flow separation is easily generated at the trailing edge of the wing, which will reduce the lift coefficient and the control surface efficiency. The rudder of the wing is aileron. If the lift generated by the wing is used to improve the efficiency of the control surface, the flow separation caused by the deflection of the control surface must be restrained. Using synthetic jet to change the flow state of boundary layer is the main method to solve the problem of flow separation. Synthetic jet actuator (SJA) has the advantages of no energy loss and simple structure. In this paper, a method of using synthetic jet actuator to suppress the flow separation at the rear of the wing when the aileron deflects is proposed, and the lift coefficient is obtained. The increase of aileron efficiency is calculated by the change of lift coefficient. The EPPLER555 wing with aileron deflection angle of 3°~9° is simulated, and the changes of lift coefficient and aileron efficiency under corresponding working conditions are obtained. The results show that the average lift coefficient of the wing is 0.5 when the deflection angle of the aileron is 3°~9° without SJA. After SJA employed, the lift coefficient will be greatly improved, and the control surface efficiency of EPPLER555 wing will be effectively improved, the lift coefficient will increase by about 20% to 0.6-0.7. For example, when the deflection angle of aileron is 4°, using a SJA with a maximum outlet velocity of 200m/s and an excitation frequency of 400/2π, the effective lift coefficient generated by the wing is 0.5931. Under the effect of SJA, the control surface efficiency of EPPLER555 wing will be effectively improved. The lift coefficient is reflected by the ratio of the change of lift coefficient after SJA employed to the lift coefficient without synthetic jet actuator.

Effect of Axle Overloading on Pavement Structural Behaviour with Improved Clayey Subgrade Using PET Fibres

Clayey subgrade soils are considered to have a lower bearing capacity, which may develop early pavement failure due to diverse axle loading. To avoid such failure issues, these soils must be treated prior to the beginning of the construction work. In the recent past, soil stabilization with plastic waste has become popular to reduce waste and improve soil behaviour. The current study aimed to use polyethylene terephthalate (PET) waste bottles to improve clayey subgrade soil for pavement construction. The PET fibre content varied between 1% and 5% by weight of the dry soil to investigate its influence on compaction, California bearing ratio (CBR), unconfined compressive strength (UCS), and tri-axial shear strength. The modified soil matrix with PET was further stabilized using Terrasil (0.1%) in order to improve the strength properties of the treated soil with ageing. Overall, the influence of the addition of the PET fibre on the structural behaviour of flexible pavement under diverse axle loading conditions was evaluated using Finite Element (FE) techniques. The pavement model is computationally implemented in ANSYS to study pavement structural behaviour in terms of surface deflection, vertical stress and strain on the subgrade layer, maximum shear strain in the bituminous layer, and tensile strain at the base of the bituminous layer under standard loading and overloading by 1.25 and 1.5 times. The test results indicated that the addition of PET fibres in subgrade soil significantly increases the CBR, UCS, and internal friction angle and decreases the compaction characteristics. The use of PET fibres in subgrade stabilization can result in a significant reduction in pavement thickness. FE analysis results compare pavement rutting performance and show that overloading reduces rutting life.

Toward Asphalt Pavement Health Monitoring With Built-In Sensors: A Novel Application to Real-Time Modulus Evaluation

Modulus is a critical parameter for evaluating the bearing capacity and remaining life of pavements. The prevalent modulus back-calculation method by using the pavement surface deflections captured from falling weight deflectometer (FWD) could characterize the overall bearing capacity of pavements. However, a non-uniqueness issue may occur when identifying the modulus of each layer from the perspective of mathematics. Alternatively, this paper presents a novel application to real-time modulus evaluation based on asphalt pavement health monitoring with built-in sensors. First, the sensor layout is optimized on the basis of the theoretical relationship between modulus and mechanical response inside the pavement. The proposed sensor layout, including input (random loads), output (mechanical responses), and environmental sensing modules, is illustrated in detail. Then, the procedure for real-time modulus evaluation is proposed, and the convergence and uniqueness of modulus evaluation results are investigated. Lastly, a case study of the realistic asphalt pavement health-monitoring system is conducted to demonstrate the effectiveness of the application to real-time modulus evaluation. The results indicate that the proposed modulus evaluation method has a potential to identify the modulus of each pavement structural layer in real time with a convergent and unique solution under a realistic traffic load. The evaluation process has the advantage of not interfering with traffic compared with the prevalent FWD-based modulus evaluation method. The pavement health monitoring with built-in sensors is recommended for newly built roads to facilitate long-term real-time performance assessment and maintenance decision making.

Structural health assessment of pavement sections in the southern central United States using FWD parameters

Various Departments of Transportation in the South-Central States and elsewhere have made extensive use of the Non-Destructive Testing (NDT) surface deflection bowl data. The falling weight deflectometer (FWD) test is a popular NDT-based test used by transportation authorities to evaluate the performance of flexible pavement. Nevertheless, it is rare to develop a method for evaluating pavement sections using FWD data from all sensors. There is a constant demand for DOTs and highway agencies to have a streamlined approach that can be applied directly to their databases. This research focuses on extending and verifying the concept of previously published area ratio parameters to the pavement section of South-Central States (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas) in order to properly analyze pavement performance. Simulation-based deflections are employed to strengthen deflection-based parameters and minimize the need for lengthy FWD field testing. Ninety-seven pavement sections in these states are being investigated for the implementation and validation of simplified processes that will be widely accessible to different transportation authorities in order to assess pavement problems at the network level.

Local mesh deformation using a dual-restricted radial basis functions method

In order to study the motion of a deformable configuration in the air flow, mesh deformation technology is essentially needed. The radial basis function (RBF) interpolation algorithm is a popular mesh deformation algorithm. For local mesh deformation, such as aeroelastic response simulation of aircraft components and deflection of flight control surface, we do not need to move all grid nodes. On the contrary, only part of the mesh near the deformation boundary needs to be moved. If we can limit the deformation range caused by the RBF method to a small region, the computational cost could be saved. In addition to the consideration of efficiency, another reason is that in the position optimization of aircraft components, we need to keep most of the meshes unchanged to reduce the error caused by mesh inconsistency. In the previous research [24], a restricted RBF interpolation algorithm was constructed and coupled with a multi-level interpolation technique to reduce the volume mesh nodes for global mesh deformation problem. The restricted RBF method is improved in the current research and a so-called dual-restricted RBF algorithm is proposed. This new method constructs a restricting function using the distance both to the moving and static boundaries so that the stationary wall could be preserved exactly. Theoretical analysis and numerical examples also have confirmed that the new algorithm is beneficial to improve the efficiency of mesh deformation process compared with the restricted RBF algorithm because mesh nodes near the stationary boundary no longer need to be moved.

Free surface effects and the utility of a skim plate for experiments in a water towing tank at steady and unsteady model velocity

A towing tank is utilized to investigate the flow field around a two-dimensional submerged foil model operating near the free surface. Free surface effects are analyzed for steady and unsteady model velocity. The model’s submergence depth and angle of attack are varied. Tests are conducted for the model facing upside-up and upside-down. The surface deflection is recorded and the experimental results are utilized to validate an analytic model that is deployed to predict wake wave patterns at arbitrary model velocity. The flow mechanism leading to load alterations when the foil is in the vicinity of the free surface is explored in detail using experimental and analytic results. The imposed wave-induced velocity perturbations alter the effective angle of attack experienced by the foil. Flow separation is delayed when the model is facing upside-up and promoted when facing upside-down. For test cases with unsteady sinusoidal model velocity, forward traveling waves are generated, leading to a time-varying change in the inflow condition of the submerged foil. Increasing the model’s submergence depth alleviates free surface effects. A skim plate is installed in-between the free surface and model. It shows similar wave alleviating effects as obtained when increasing the model submergence depth by locally blocking wave-induced velocities. The skim plate position is varied in the longitudinal direction to determine its most advantageous position. Surface wave effects at unsteady model velocity are alleviated most effectively when the skim plate protrudes upstream of the model.Graphical abstract

Aircraft post-upset flight risk region prediction for aviation safety management

Flight trajectory prediction is a vital tool for enhancing the national airspace system (NAS) safety management, especially with the rapid increase in flight density. In-flight uncertainties during aircraft upset events significantly impair the flight path trajectory prediction, hence a robust uncertainty quantification study is needed for realistic flight path risk region construction upon such upset events. The NASA transport class model (TCM) is implemented as a high-fidelity flight dynamics simulator to mimic post-upset aircraft response. Take-off and high-altitude stall scenarios are considered, due to their major contribution to aircraft loss of control in-flight incidents, where stochasticity is introduced in the TCM upset-triggering parameters. Automated recovery algorithm is developed and applied into TCM framework to control the rate of elevator surface deflection and/or throttle level, leading to flight path nominal conditions recovery. Monte Carlo simulations are performed to estimate a stochastic risk region in terms of confidence ellipsoid for both non-recovery and recovery simulated cases, where a relatively larger uncertainty level is observed during the recovery process. Additionally, a data-driven deep-learning surrogate model is developed to enhance the computational feasibility of such risk region estimation, which is essential for in-situ NAS safety assessment. Finally, the wind speed effect on the risk region and flight dynamics response prediction during high-altitude post-upset recovery cases is investigated.

A parametric study of concrete runway pavement layers depression under impact load

Introduction. Airport runway pavement is always subjected to considerable impact loads as a result of aircraft landing heavily on the concrete surface. As a result, runway pavements must have adequate strength and durability capability to avoid damage caused by a hard impact, such as surface deflection downward or penetration, because repair works are inconvenient within the operating conditions of the airport and increase the service life cost of the pavement structure. 3DFE research is carried out to identify some beneficial elements in influencing the concrete and base layers deformation of the runway pavement.
 
 Materials and methods. The research developed 3D finite element model from the previews study by using the Explicit Dynamics model using the Ansys workbench. The concrete characteristics such as slab thickness, concrete density, modulus of elasticity, flexural tensile strength, and compressive strength of the runway pavement are tested, while the impactor weight and velocity are chosen and investigated too.
 
 Results. The results included the effect of 4–7 different values for each factor. The depression of the concrete and base layers is presented.
 
 Conclusions. The main conclusion that can be drawn from this work is that flexural tensile strength, compressive strength, and slab thickness have a significant effect on the concrete depression of the runway pavement as well as the impactor weight and velocity.

A new method of optimizing the thickness of metrological surface plate using simulation analysis

The challenges of choosing an optimally thick surface plate (SP) were noticed during the calibration of pressure measuring instruments against pressure balance type primary and secondary standards. This has motivated authors to investigate this issue in detail. It is observed that the traditional workstation made of steel sheets may not be flat enough to generate accurate pressure measurement results. These SPs are also regularly used in the metrology laboratories, inspection rooms, and manufacturing industries. Whenever precise and accurate measurements and inspections are performed, the irregularities of the working surfaces lead to incorrect results. Therefore, focused research is carried out by analyzing some of the standard granite plates. Usually, manufacturers design, fabricate, and install the SPs as per the recommendation of the respective documentary standards. The standards provide the requirements and specifications of the flatness tolerances for different sizes of the SPs. However, these standards do not precisely specify the optimum thickness of the SP. Standards also suggest using finite element analysis to avert complex mathematical procedures. The simulation method precisely represents the individual case of installation/design. Therefore, the bending cases due to self-weight and rigidity tests are simulated to determine the deformations of the various sizes of granite SPs. Their results led to devising the proposed optimization of the thickness of metrological surface plates. In the present investigation, granite SPs of different sizes are simulated. The critical thickness is observed when the deformation reduces to its optimum level. The surface deflection against the load is minimum at critical thickness values. The results obtained in the optimization are compared with the standard values.

A numerical method based on Polonsky-Keer's conjugate gradient iterative scheme for solving axisymmetric contact of layered half-space

Axisymmetric contact analysis of layered half-space is of considerable interest in many tribological applications including protective hard coating, metal-matrix composites, etc. Polonsky-Keer's iterative scheme based on conjugate gradient method (CGM) is powerful for a general three-dimensional contact problem using rectangular meshes, but would inevitably lead to excessive computational burden and inaccurate boundary discretization for axisymmetric contact. In this paper, Polonsky-Keer's CG-based iterative scheme is adapted for axisymmetric indentation of a layered elastic half-space by taking advantage of annular ring discretization, where the elementary solutions for the surface deflection and subsurface stresses can be determined with assistance of the Hankel transforms. The present method can not only effectively circumvent the discretization error, but is also versatile and flexible to solve the contact between the layered materials and an arbitrary axisymmetric indenter. Parametric studies are provided to validate the present solutions, and the comparisons of the average relative errors for different types of elements are conducted to demonstrate the excellent convergence and accuracy of the proposed numerical scheme.

Experimental research on aero-propulsion coupling characteristics of a distributed electric propulsion aircraft

Distributed Electric Propulsion (DEP) aircraft use multiple electric motors to drive the propulsors, which gives potential benefits to aerodynamic-propulsion interaction. To investigate and quantify the aerodynamic-propulsion interaction effect of the wing section, we built a DEP demonstrator with 24 “high-lift” Electric Ducted Fans (EDFs) distributed along the wing’s trailing edge. This paper explores and compares the aero-propulsion coupling characteristics under various upstream speed, throttle, and EDF mounting surface deflection angles using a series of wind tunnel tests. We compare various lift-augmentation power conditions to the clean configuration without propulsion unit under the experiment condition of 15–25 m/s freestream flow and angles of attack from −4° to 16°. The comparison of computational results to the experimental results verifies the effectiveness of the computational fluid dynamic analysis method and the modeling method for the DEP configuration. The results show that the EDFs can produce significant lift increment and drag reduction simultaneously, which is accordant with the potential benefit of Boundary Layer Ingestion (BLI) at low airspeed.

Two-dimensional measurement of resonance in MEMS resonators using stroboscopic differential interference contrast microscopy.

We report the two-dimensional (2D) measurement of resonance in MEMS resonators using stroboscopic differential interference contrast (DIC) microscopy, for the investigation of the linear and nonlinear oscillations of MEMS resonators. The DIC microscopy measures the interference of two sheared illumination light beams reflected from the sample surface to determine the differential surface deflection. By modulating the illumination light at the resonance frequency, the DIC image of the MEMS resonator periodically change its brightness and contrast with the sweeping illumination phase, which have been used to derive the oscillation amplitude and the resonance mode shape of the MEMS resonator. Comparing with conventional interference microscopy, the DIC microscopy can observe the surface deflection larger than the wavelength of the illumination light, enabling the measurement of nonlinear oscillations with a large oscillation amplitude. We demonstrate that the stroboscopic DIC microscopy can measure the 2D mechanical resonance with a high vertical resolution at the nanometer(nm)-scale, and a large measurement range of ∼1µm, which is very promising for the investigation of linear and nonlinear oscillations of MEMS resonators.

Densely Sampled Global Dynamic Topographic Observations and Their Significance

AbstractTopography and bathymetry are principally supported by some combination of crustal and sub‐crustal density variations. However, dynamic topography is generated by vertical deflection of the Earth's surface as a result of mantle convection. Isolating and quantifying observable dynamic topography yields valuable information about mantle processes. Here, we investigate global dynamic topography by calculating residual depth anomalies throughout the oceanic realm and residual topographic anomalies across the continents. We correct for sedimentary and crustal loading by exploiting a variety of seismologic datasets that include seismic reflection profiles, wide‐angle/refraction surveys, and receiver functions. In this way, an extensively revised and augmented global compilation of 10,874 oceanic residual depth measurements and 3,777 continental residual topographic measurements is constructed. In the oceanic realm, the methodology has been revised to improve accuracy and resolution. First, quartz/clay content of the sedimentary column is adjusted to remove minor skewness of residual depth anomalies as a function of plate age. Secondly, variation of bulk density as a function of crustal thickness is taken into account. Our global compilation is used to generate spherical harmonic representations of observable dynamic topography out to degree 40 (i.e., ∼1,000 km). Resultant spectra demonstrate that dynamic topographic power varies linearly with inverse wavenumber. The spectral slope directly reflects the way by which dynamic topography is generated by Stokes' flow. Our global results are consistent with independent and diverse geologic markers of uplift and subsidence together with Neogene‐Quaternary intraplate basalt magmatism.

Efficient and Accurate Modeling of the Surface Deflection of Thin Layers on Composite Substrates with Applications to Piezoelectric Parameter Measurements

The electrical and mechanical response of multilayered structures involving a piezoelectric layer and bull’s eye shaped electrodes is investigated. A boundary element method is employed based on spectral domain Green’s functions. With this method, the electric field distribution is determined first, and the local mechanical displacement in a second step. As will be shown, this allows us to exploit cylindrical symmetry for the electric surface charge distribution, but not for the vertical surface displacements. The effect of substrate bending due to in plane-stress, introduced by the piezoelectric constant d31, and the benefits of using bull’s eye electrode geometries with thick metallic backplates intended to reduce this effect are studied. A rigorous analysis and a largely simplified, but accurate approximation are compared. The application of this technique is demonstrated on a practical example for highly efficient and accurate determination of selected piezoelectric coefficients from surface topography measurements on such structures.

Impact resistance of concrete pavement surface reinforced with fibre mesh

ABSTRACT The surface layer of military airfield pavements is prone to damage, including cracking, abrasion, and spalling. It is proposed to strengthen the pavement mortar layer by laying fiber mesh to solve these issues. In this study, three meshes of carbon fiber, aramid fiber, and basalt fiber were selected for surface reinforcement across six pavement slabs of 1.5m (length) × 1.5m (width) × 0.25m (height). The drop hammer impact test was carried out on the six pavement slabs. The test data were analyzed using impact times, crack development characteristics, and development models on the surface deflection as evaluation indices. The results show that the fiber mesh can effectively improve the impact resistance of concrete pavement slabs. Aramid fiber mesh best strengthened the pavement surface, whereas the basalt fiber mesh had the least strengthening effect. However, the mesh size has a negligible influence on the impact resistance of concrete pavement slabs. The effect of fiber mesh on improving the impact resistance of the concrete pavement slab corner was greater than that of the concrete pavement slab edge midpoint. Considering the performance and cost indicators, within the scope of the study, aramid fiber mesh is the most suitable for surface strengthening of airfield concrete pavement.