Aggregate Base Research Articles

Evaluation of Airport Pavement Base Layer Stiffness Characteristics via Embedded Field Sensors

Real-time stiffness monitoring of unbound aggregate layers using embedded field sensors is crucial for advanced airport pavement design and management. This paper describes research findings on monitoring base layer stiffness characteristics for airport pavements using an embedded bender element (BE) field sensor, inductive coil sensors, and pressure cells. A full-scale pavement test section was constructed at the Federal Aviation Administration (FAA)’s National Airport Pavement Test Facility (NAPTF). A BE field sensor, inductive coil sensor pairs, and pressure cells were installed in the unbound aggregate base to evaluate the layer stiffness, applied load stress, and deformation characteristics. A triple dual tandem gear loading module applied 58,000 lb per wheel to the tested section with a wander pattern consisting of 66 passes arranged in nine lateral wander positions. Dynamic responses of coil sensors and pressure cells were collected during the traffic test, whereas BE signals were collected after completing each wander pattern. Laboratory repeated load triaxial tests with BE instrumentation were also conducted to establish a correlation for converting BE field sensor readings to layer modulus properties. The in situ modulus characteristics of the aggregate base layer were evaluated during full-scale testing using two methods: shear wave velocities from a BE field sensor, and strain and stress measurements from coil sensors and pressure cells. The moduli estimated using both approaches fell into typical ranges of crushed aggregate bases and were highly comparable. The moduli from the dynamic sensor measurements clearly showed the effect of vehicle wander on aggregate base layer measured responses.

Effect of Substituent Location on the Relationship between the Transition Dipole Moments, Difference Static Dipole, and Hydrophobicity in Squaraine Dyes for Quantum Information Devices.

Aggregates of organic dyes that exhibit excitonic coupling have a wide array of applications, including medical imaging, organic photovoltaics, and quantum information devices. The optical properties of a dye monomer, as a basis of dye aggregate, can be modified to strengthen excitonic coupling. Squaraine (SQ) dyes are attractive for those applications due to their strong absorbance peak in the visible range. While the effects of substituent types on the optical properties of SQ dyes have been previously examined, the effects of various substituent locations have not yet been investigated. In this study, density functional theory (DFT) and time-dependent density functional theory (TD-DFT) were used to investigate the relationships between SQ substituent location and several key properties of the performance of dye aggregate systems, namely, difference static dipole (Δd), transition dipole moment (μ), hydrophobicity, and the angle (θ) between Δd and μ. We found that attaching substituents along the long axis of the dye could increase μ while placement off the long axis was shown to increase Δd and reduce θ. The reduction in θ is largely due to a change in the direction of Δd as the direction of μ is not significantly affected by substituent position. Hydrophobicity decreases when electron-donating substituents are located close to the nitrogen of the indolenine ring. These results provide insight into the structure-property relationships of SQ dyes and guide the design of dye monomers for aggregate systems with desired properties and performance.

Molecular basis of polyglutamine-modulated ELF3 aggregation in Arabidopsis temperature response.

Some plants, like Arabidopsis thaliana, possess a molecular mechanism that allows them to sense changes in temperature and respond by modifying growth rate, photoperiod length and timing of flowering. Underlying this mechanism is a tripartite protein complex called the Evening Complex (EC) that functions as a DNA transcription repressor targeting growth-related genes. ELF3, a large disordered scaffolding protein, is the primary component of the EC. At low temperature ELF3 sits over DNA targets occluding transcription machinery and halting growth. Rising temperature promote ELF3 condensate formation as it becomes sequestered in large reversible nuclear condensates allowing DNA transcription and plant growth to proceed. A C-terminal prion-like domain (PrD) has been observed to be sufficient for ELF3 aggregation. Within this PrD region lies a poly-glutamine repeat of variable length, the size of which has been found to modulate the thermal responsiveness as measured by hypocotyl (stem) elongation and condensate formation. We use a polymer chain growth approach to build large ensembles and characterize monomeric ELF3-PrD at a range of polyQ lengths and temperatures. We then explore temperature-dependent dynamics of wild-type ELF3-PrD and a mutant, F527A, using chain growth structures as initial conformations for replica exchange (REST2) simulations. We find increased solvent accessibility of expanded polyQ tracts, promotion of temperature-sensitive helices adjacent to polyQ tracts, and exposure of a cluster of aromatic residues at increased temperature, all three of which promote inter-protein interaction. Protein condensate formation is a ubiquitous but poorly understood mechanism implicated in a range of biological functions and malfunction. Our computational approach to understanding the molecular basis for the temperature sensitivity of this system has wider implications on the understanding of phenomena regulating condensate formation more generally.

The molecular basis for the synergistic aggregation of tau by alpha-synuclein.

Age-related neurodegenerative disorders like Alzheimer's disease (AD) and Parkinson's disease (PD) take an overwhelming toll on individuals and society. Traditionally, aggregation of a single protein (tau in AD and α-synuclein, or αS, in PD) was thought to be responsible for causing these different pathologies. However, there is increasing evidence that the pathologies of these two diseases overlap, and the individual proteins primarily associated with each disease promote each other's aggregation. Both tau and αS are intrinsically disordered proteins, lacking stable secondary structures under physiological conditions. Here, we complement ensemble aggregation studies with fluorescence correlation spectroscopy to investigate the interactions between tau and αS. Specifically, we measure interactions between full-length tau and constructs corresponding to its proline rich region (PRR) and microtubule binding domain (K18) with monomeric and aggregated forms of αS. We find only weak interactions between any of the tau variants and monomeric αS. Binding to αS aggregates, however, is enhanced relative to monomer, particularly by the PRR. The presence of the C-terminal tail of αS further amplifies this interaction. Interestingly, neither full-length nor truncated αS seeding has a significant impact on tau aggregation under the conditions of our experiments. The findings of our study draw attention to a central role of the PRR in mediating protein-protein interactions and underscores the complexity of the homotypic and heterotypic interactions underlying pathological protein aggregation.

Determination of the characteristic function of discrete-time conditional linear random process and its application

The discrete-time conditional linear random process is defined, and its properties in the context of application for mathematical modelling of information signals in energy and medicine are analyzed. The relation to the continuous-time counterpart is considered on the basis of time sampling and aggregation. One-dimensional and multidimensional characteristic functions of discrete-time conditional linear random process are obtained using conditional characteristic function approach. The conditions for the investigated model to be strict sense stationary are justified.

Hexameric Aggregation Nucleation Core Sequences and Diversity of Pathogenic Tau Strains.

Tau aggregation associates with multiple neurodegenerative diseases including Alzheimer's disease and rare tauopathies such as Pick's disease, progressive supranuclear palsy, and corticobasal degeneration. The molecular and structural basis of tau aggregation and related diverse misfolded tau strains are not fully understood. To further understand tau-protein aggregation mechanisms, we performed systematic truncation mutagenesis and mapped key segments of tau proteins that contribute to tau aggregation, where it was determined that microtubule binding domains R2 and R3 play critical roles. We validated that R2- or R3-related hexameric PHF6 and PHF6* peptide sequences are necessary sequences that render tau amyloidogenicity. We also determined that the consensus VQI peptide sequence is not sufficient for amyloidogenicity. We further proposed single- and dual-nucleation core-based strain classifications based on recent cryo-EM structures. We analyzed the structural environment of the hexameric peptide sequences in diverse tau strains in tauopathies that, in part, explains why the VQI consensus core sequence is not sufficient to induce tau aggregation. Our experimental work and complementary structural analysis highlighted the indispensible roles of the hexameric core sequences, and shed light on how the interaction environment of these core sequences contributes to diverse pathogenic tau-strains formation in various tauopathy brains.

Analysis of types of technologies for the processing of building materials by carbon footprint indicators

With the increase in the rate of civil construction and the growth of socio-economic development, there is a significant increase in the consumption of construction materials based on natural raw materials, which makes research in the search for an alternative raw material base for the construction industry as a whole relevant. Rational solution in terms of ecology and economy becomes the recycling of construction materials and the use of industrial waste. The trend of using construction waste as aggregates for concrete products and structures, is currently the most effective solution to reduce the negative impact on the environment, and also has a number of economic advantages, when choosing the optimal processing technology. This article considers the state, trends and problems of development of the construction sector of the economy in the direction of energy-efficient technologies and principles of sustainable development that help to reduce the negative impact of the construction sector on the environment in urban conditions. The main reasons for the increased interest in the research of environmentally friendly methods of recycling construction materials are indicated. The characteristics and unique properties of raw materials subjected to various methods of recycling are described. The advantages offered by the innovative system of "green" construction with the introduction of construction waste recycling technologies are given. The authors present an analysis of the most common technologies and methods of recycling concrete scrap into secondary aggregate, as well as the advantages and disadvantages of each method of regeneration of concrete scrap. The experience of researches of innovative methods of recycling concrete in foreign countries, the prospects and problems of further development of "green" technologies in the Russian building industry, and also priorities and prospects for entering the market of domestic producers of concrete products on the basis of secondary aggregate, which will allow to provide decrease in extraction and production of natural raw materials are revealed. Formulated further research directions of the problems of development of green technologies in the construction sector of the economy.

Systematic generation and imaging of tandem repeats reveal base-pairing properties that promote RNA aggregation

A common pathological feature of RNAs containing expanded repeat sequences is their propensity to aggregate in cells. While some repeat RNA aggregates have been shown to cause toxicity by sequestering RNA-binding proteins, the molecular mechanism of aggregation remains unclear. Here, we devised an efficient method to generate long tandem repeat DNAs de novo and applied it to systematically determine the sequence features underlying RNA aggregation. Live-cell imaging of repeat RNAs indicated that aggregation was promoted by multivalent RNA-RNA interactions via either canonical or noncanonical base pairs. While multiple runs of two consecutive base pairs were sufficient, longer runs of base pairs such as those formed by GGGGCC hexanucleotide repeats further enhanced aggregation. In summary, our study provides a unifying model for the molecular basis of repeat RNA aggregation and a generalizable approach for identifying the sequence and structural determinants underlying the distinct properties of repeat DNAs and RNAs.

Degradation of Concrete Structures in Nuclear Power Plants: A Review of the Major Causes and Possible Preventive Measures

Concrete, an integral part of a nuclear power plant (NPP), experiences degradation during their operational lifetime of the plant. In this review, the major causes of concrete degradation are extensively discussed including mechanisms that are specific to NPPs. The damage mechanism could be chemical or physical. The major causes of chemical degradation include alkali–aggregate reactions, leaching, sulfate attack, bases and acids attack, and carbonation. Physical degradation is a consequence of both environmental and mechanical factors combined. These factors are mainly elevated temperature, radiation, abrasion and erosion, salt crystallization, freeze–thaw distortions, fatigue and vibration. Additionally, steel reinforcements, prestressing steels, liner plates, and structural steel also experience degradation. The prospective areas in the structural components of the NPP where the degradation could occur are mentioned and the effective solutions to the causes of degradation are highlighted. These solutions are designed to enhance the physical and chemical characteristics of concrete. Some of the major recommendations include addition of mineral substitutes, use of low water-to-cement ratio as well as low water-to-binder ratio, use of low alkali cement, use of special aggregates and fibers, use of corrosion inhibitors, use of cathodic protection, etc. The review concludes with an overview of present methods and possible recommendations used to enhance the quality of concrete towards preventing concrete degradation and increasing the lifetime of NPPs.

How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling

Residential and commercial buildings in the United States accounted for 40% of total energy in 2020. Building energy modeling (BEM) is a useful tool that allows individuals, researchers, companies, or utilities to save energy by optimizing buildings through estimation of building technology savings and performance projection of building energy under various environmental conditions. Urban building energy modeling (UBEM) expands the scope beyond individual buildings to the buildings in a neighborhood, city, utility and more. Yet there is a knowledge gap in the literature as to how these models compare to measured data on an individual and aggregated basis. As UBEM data and methods continue to develop, it is important to consider the accuracy, bias, and limitations of the models. Nation-scale data and UBEM software suite named Automatic Building Energy Modeling (AutoBEM) was used to model 50,843 buildings in Chattanooga, Tennessee. The uncalibrated simulation results were compared to aggregated 15-minute electricity data for the year 2019 with visualizations highlighting sources of bias in building data and the AutoBEM framework while considering how they relate to other UBEM methods. Estimation of building type and year of constructions are found to be the major sources of bias. Accounting for the amount of conditioned area per building significantly improves the overall fit of the simulated energy use intensity. it was found that inherent variation in building energy use contributes to R2 values between 0.008 and 0.095 across building types but slope values near 1 for the total number of buildings. This indicates the need for building aggregation for representative building energy modeling with data sources available at an urban scale while illustrating the need for additional individual building data and model improvement beyond the originally produced UBEM models for individual building analysis.

Using Falling Weight Deflectometer (FWD) and Ground Penetrating Radar (GPR) to monitor the effects of seasonal moisture variation on the structural capacity of pavements

Moisture fluctuations in pavement foundation due to environmental conditions (e.g., heavy precipitation, freeze–thaw cycles, groundwater table variation, etc.) can significantly affect pavements’ short- and long-term performance. Moisture variation in the pavement foundation is often monitored as a way to anticipate the structural capacity of pavements. Thus, the ability to monitor moisture variation through a proven non-destructive technology (NDT) such as Ground Penetrating Radar (GPR) would be beneficial for asset management by transportation agencies. This paper summarizes the Minnesota Department of Transportation’s (MnDOT) efforts at validating the use of GPR to monitor moisture in the pavement foundation through comparison with Falling-Weight Deflectometer (FWD) parameters that represent the structural condition of the pavement. The results in this paper are based on GPR, FWD and in-place moisture sensor data collected over 17 months on MnROAD instrumented test sections. The pavement test sections considered in this study included unbound aggregate bases (UAB) with virgin and recycled materials (i.e., RCA and RAP) covering a broad range of geotechnical behavior. Previous efforts established a strong correlation between GPR-based moisture measurements and sensor-based moisture measurements. This correlation is further validated by investigating the relationship between GPR-based moisture measurements and FWD-based indices for structural capacity. The observed correlation is reasonable and in good agreement with the expected correlation between volumetric moisture content (VMC) of the base layer and the structural capacity of a pavement. This agreement validates the use of GPR to monitor moisture in pavement foundation. GPR is not a replacement for FWD, but it can be used in asset management efforts in addition to FWD to assess moisture fluctuation in pavement foundation during and after extreme environmental events (e.g., flooding, freeze-thawing) to determine when and where FWD testing may be necessary.

Interpolation graph convolutional network for 3D point cloud analysis

The feature analysis of point clouds, a popular representation of three-dimensional (3D) objects, is rising as a hot research topic nowadays. Point cloud data bear a sparse and unordered nature, making many commonly used feature extraction methods, for example, Convolutional Neural Networks (CNNs) inapplicable, while previous models suitable for the task are usually complex. We aim to reduce model complexity by reducing the number of parameters while achieving better (or at least comparable) performance. We propose an Interpolation Graph Convolutional Network (IGCN) for extracting features of point clouds. IGCN uses the point cloud graph structure and a specially designed Interpolation Convolution Kernel to mimic the operations of CNN for feature extraction. On the basis of weight postfusion and multilevel-resolution aggregation, IGCN not only reduces the cost of calculating the interpolation operation but also improves the model's performance. We validate the performance of IGCN on both point cloud classification and segmentation tasks and explore the contribution of each module of our model through ablation experiments. Furthermore, we embed the IGCN point cloud feature extraction module as a plug-and-play module into other frameworks and perform point cloud registration experiments.

Illuminating the Structural Basis of Tau Aggregation by Intramolecular Distance Tracking: A Perspective on Methods.

The aggregation of the tau protein is central to several neurodegenerative diseases, collectively known as tauopathies. High-resolution views of tau tangles accumulated under pathological conditions in post-mortem brains have been revealed recently by cryogenic electron microscopy. One of the striking discoveries was that fibril folds are unique to and homogeneous within one disease family, but typically different between different tauopathies. It is widely believed that seeded aggregation can achieve structural propagation of tau fibrils and generate pathological fibril structures. However, direct molecular level measurement of structural evolution during aggregation is missing. Here, we discuss our perspective on the biophysical approaches that can contribute to the ongoing debate regarding the prion-like propagation of tau and the role of cofactors. We discuss the unique potential of double electron-electron resonance (DEER)-based intramolecular distance measurement, sensitive to two to several nanometers distances. DEER can track the structural evolution of tau along the course of aggregation from the completely disordered state, to partially ordered and highly ordered fibril states, and has the potential to be a key tool to elucidate the disease-specific tau aggregation pathways.

Utilizing lowly-reactive coal gasification fly ash (CGFA) to stabilize aggregate bases

This study explored the feasibility of utilizing lowly-reactive coal gasification fly ash (CGFA) for stabilizing road aggregate bases. Three types of aggregate stabilizers including the ordinary Portland cement (OPC)-CGFA, hydrated lime (CH)-CGFA and alkali-activated CH-CGFA were evaluated based on the performances of compacted base specimens. It was found that the OPC-CGFA stabilized bases showed better mechanical and durability properties while the CH-CGFA samples had low water stability and freeze-thaw durability due to the dissolution of unreacted CH. However, the reaction degree of CGFA associated with the performances of CH-CGFA stabilization could be considerably enhanced by the alkali-activation. The sustainability and economic feasibility analyses showed the use of CGFA could significantly reduce the CO2 emissions and costs, highlighting the synergy between the recycling of CGFA and the construction of sustainable road bases. A framework of selecting CGFA-based stabilizers for road bases was proposed considering the performance ratings of the material properties.

Oxidation of active cysteines mediates protein aggregation of S10R, the cataract-associated mutant of mouse GammaB-crystallin.

The Ser10 to Arg mutation in mouse γB-crystallin (MGB) has been associated with protein aggregation, dense nuclear opacity, and the degeneration of fiber cells in the lens core. Overexpression of the gap junction protein, connexin 46 (Cx46), was found to suppress the nuclear opacity and restore normal cell-cell contact. However, the molecular basis for the protein aggregation and related downstream effects were not evident from these studies. Here, we provide a comparison of the structures and solution properties of wild type MGB and the S10R mutant in vitro and show that, even though the mutation does not directly involve cysteine residues, some cysteines in the mutant protein are activated, leading to the enhanced formation of intermolecular disulfide-crosslinked protein aggregates relative to the wild-type. This occurs even as the protein structure is essentially unaltered. Thus, the primary event is enhanced protein aggregation due to the disulfide crosslinking of the mutant protein. We suggest that these aggregates eventually get deposited on fiber cell membranes. Since the gap junction protein, Cx46 is involved in the transport of reduced glutathione, we posit that these deposits interfere in Cx46-mediated glutathione transport and facilitate the oxidative stress-mediated downstream changes. Overexpression of Cx46 suppresses such oxidative aggregation. These studies provide a plausible explanation for the protein aggregation and other changes that accompany this mutation. If indeed cysteine oxidation is the primary event for protein aggregation also in vivo, then the S10R mutant mouse, which is currently available, could serve as a viable animal model for human age-onset cataract.

Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches.

Stabilized aggregate bases are vital for the long-term service life of pavements. Their stiffness is comparatively higher; therefore, the inclusion of stabilized materials in the construction of bases prevents the cracking of the asphalt layer. The effect of wet–dry cycles (WDCs) on the resilient modulus (Mr) of subgrade materials stabilized with CaO and cementitious materials, modelled using artificial neural network (ANN) and gene expression programming (GEP) has been studied here. For this purpose, a number of wet–dry cycles (WDC), calcium oxide to SAF (silica, alumina, and ferric oxide compounds in the cementitious materials) ratio (CSAFRs), ratio of maximum dry density to the optimum moisture content (DMR), confining pressure (σ3), and deviator stress (σ4) were considered input variables, and Mr was treated as the target variable. Different ANN and GEP prediction models were developed, validated, and tested using 30% of the experimental data. Additionally, they were evaluated using statistical indices, such as the slope of the regression line between experimental and predicted results and the relative error analysis. The slope of the regression line for the ANN and GEP models was observed as (0.96, 0.99, and 0.94) and (0.72, 0.72, and 0.76) for the training, validation, and test data, respectively. The parametric analysis of the ANN and GEP models showed that Mr increased with the DMR, σ3, and σ4. An increase in the number of WDCs reduced the Mr value. The sensitivity analysis showed the sequences of importance as: DMR > CSAFR > WDC > σ4 > σ3, (ANN model) and DMR > WDC > CSAFR > σ4 > σ3 (GEP model). Both the ANN and GEP models reflected close agreement between experimental and predicted results; however, the ANN model depicted superior accuracy in predicting the Mr value.

Quantitative proteomics provides a new perspective on the mechanism of network structure depolymerization during egg white thinning

As a typical colloidal solution system, egg white (EW) will naturally thin during storage. This paper discussed mechanism of EW thinning and protein depolymerization from the perspective of “protein composition and molecular structure”. The results of rheology showed that viscoelasticity of EW declined substantially. Analysis of EW protein in gel system demonstrated that arrangement of EW thermal gel gradually tightened with dissociation of skeleton protein during storage. Molecular characteristics of EW protein in solution showed that particle size and free sulfhydryl content decreased. The increase of disulfide bonds enhanced intermolecular electrostatic force and hindered molecular aggregation, which improved solubility of molecules and reduced surface hydrophobicity. Quantitative proteomic analysis indicated the reduced abundance of β-ovomucin (OVO) might be the direct cause of EW thinning. Notably, some proteins extensively involved in the aggregation of proteins during later storage. The results can provide scientific basis for depolymerization and aggregation of EW during storage.

Winners and Losers of the CAP’s Rural Development Policy in Poland

The purpose of this study was to identify territorial clusters of Polish municipalities whose rural residents demonstrated higher or lower interest in the four programs of the CAP’s rural development policy compared to the country’s average interest. The clusters were identified on an aggregate basis and described with synthetic indexes of agriculture and rural development. The Moran’s global spatial autocorrelation coefficient was used to check for spatial autocorrelation. The results demonstrated that the support offered under the rural development programs covered by this analysis was higher in the regions with well-developed agricultural structures, while the areas with structural defects and the areas in need of development had lower-than-average levels of applications for all programs (regardless of their objectives). These findings call for a clear strategy to change the unfavorable structures in Polish agriculture. Otherwise, the regional development gaps in Polish agriculture will only deepen under these programs.

An aggregate characteristic of relay fluorescence probe for Cu2+/HPO42− with improved low detection limit based on aggregation-switching mechanism

A new pyrrole-modified phenanthrene[9,10-d]imidazole derivative (PIPy) with aggregate characteristic in aqueous medium has been developed. In DMF/H2O solution (v/v, 1/1, HEPES, 10 μM), PIPy exhibits overt aggregated performances with the flat absorption, strong fluorescence emission, and perceptibly cumulate morphology. On the basis of aggregation, PIPy displays the selective and sensitive fluorescence response to Cu2+ as the form of PIPy–Cu2+ complex which breaks down the original aggregated state of PIPy and leads to the fluorescence damping. Subsequently, in situPIPy–Cu2+ complex as a fluorescence platform can achieve the consequent increment in fluorescence emission through the highly sensitive detection of HPO42−; at this moment, Cu2+ is employed by HPO42− and then PIPy is released again with the re-formed aggregation in water solution, resulting in the fluorescence renewing. The relay fluorescence recognition for Cu2+/HPO42− is perfectly realized with “on-off-on” fluorescence signal based on the aggregation-switching mechanism. Especially, the excellent limit of detection for Cu2+ and HPO42− is as low as 395.77 and 120.38 nM, respectively. In addition, this fluorescence switching for successive Cu2+ and HPO42− is successfully used to detect the real samples (water and feed) with good recoveries and small relative standard deviations. Finally, PIPy is applied for the intracellular imaging in HeLa cells manifesting the negligible toxicity and excellent biocompatibility.

Airport Pavement Stiffness Monitoring and Assessment of Mechanical Stabilization using Bender Element Field Sensor

The bender element (BE) field sensor is a newly developed embedded pavement instrumentation that measures shear wave velocity to estimate constructed layer moduli of unbound aggregate bases and subbases. This paper presents findings related to monitoring stiffness characteristics of airport pavement base courses instrumented with BE field sensors and tested under full-scale accelerated pavement testing during Construction Cycle 9 (CC9) of the National Airport Pavement Test Facility (NAPTF) by the U.S. Federal Aviation Administration (FAA). The CC9 aggregate base courses were constructed following FAA’s P-209 specification for a geosynthetic experiment using a biaxial geogrid installed at the bottom of the 8-in. (203-mm) thick base in the north test section, while the control pavement in the south test section was built without a geogrid. Two BE field sensors were installed in the north and south test sections approximately 1 in. (25 mm) above the base–subbase interface. Multiple stages of aircraft gear loads, including static dual-gear, dynamic slow-roll (moving wheel), and dynamic proof-roll, were applied to the test sections. BE field sensor data collected throughout multiple loading stages were used to investigate the stiffness characteristics of the pavement base. These preliminary tests conducted at the NAPTF CC9 experiment revealed the effects of static and dynamic aircraft gear loads on the stiffness of the aggregate base layer and how confinement influenced the moduli of the geogrid-stabilized base. Further, previously observed anti-shakedown effects caused by vehicle load wander could be quantified through changing base course modulus and deformation behavior from the BE field sensor data analysis.