Improving the detection efficiency and maintenance benefits is one of greatest challenges in road testing maintenance. To address this problem, paper presents a method for combining you only look once (YOLO) series with 3D ground-penetrating radar (GPR) images to recognize internal defects asphalt pavement compares effectiveness traditional GPR by evaluating benefits. First, conducted survey summarize surface conditions tested roads, which are missing information. Therefore, implemented...

To realize the intelligent and accurate measurement of pavement surface potholes, an improved You Only Look Once version three (YOLOv3) object detection model combining data augmentation structure optimization is proposed in this study. First, color adjustment was used to enhance image contrast, performed through geometric transformation. Pothole categories were subdivided into P1 P2 on basis whether or not there water. Then, Residual Network (ResNet101) complete IoU (CIoU) loss optimize...

Accurately identifying and localizing concealed cracks in asphalt pavements through nondestructive ground-penetrating radar (GPR) testing has attracted much attention. However, various realistic factors restrict its detection accuracy. Therefore, this paper proposed a novel YOLOv3 model with ResNet50vd-deformable convolution (DCN) backbone hyperparameter optimization (HPO) method using Bayesian search. First, 3D-Radar system multi-channel DXG <inline-formula...

Addressing the constraints inherent in traditional primary Air Quality Index (AQI) forecasting models and shortcomings exploitation of meteorological data, this research introduces a novel air quality prediction methodology leveraging machine learning enhanced modeling secondary data. The dataset employed encompasses forecast data on pollutant concentrations conditions, alongside actual observations concentration measurements, spanning from 23 July 2020 to 13 2021, sourced long-term...

In the process of driving in an underground interchange, drivers are faced with many challenges, such as being a closed space, visual changes alternating between light and dark conditions, complex road conditions confluence section, dense signage, which directly affect safety comfort interchange. Thus, simulation, building information modeling (BIM), data mining were used to analyze impact interchange facilities on comfort. Acceleration disturbance steering wheel loss values assist analysis....

The Structural Health Monitoring (SHM) of pavement infrastructures holds paramount significance in the assessment and prognostication remaining service life roadways. In response to this imperative, a methodology for surveilling surface internal mechanical responses pavements was devised through amalgamation Accelerated Pavement Testing (APT) Falling Weight Deflectometer (FWD) examinations. An experimental road segment, characterized by conventional asphalt structure with semi-rigid bases,...

To solve the issues that material parameters measured under specific laboratory conditions are extremely different from actual pavement, a method of structural correction in semi-rigid base asphalt pavement combining numerical simulations, tests, and accelerated testing (APT) was proposed. The dynamic modulus uniaxial static compression creep tests were conducted to explore effect temperature, size, fatigue. Then, these factors coupled modified Burgers model can reflect law whole process. A...

Nanoscale materials have gradually been a hot spot in improving asphalt performance. Thus, graphene modified (GMA) was prepared and its modification mechanism mechanical properties were analyzed this study. Three kinds of powders (A, B, C) with different molecular sizes selected for evaluation. Molecular dynamics (MD) simulation results showed that GMA-B exhibited optimized comprehensive In further experiments GMA B dosages, it found adding to just physical mixture, not chemical reaction....

Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing are poor in terms interpretability. Therefore, inspired by the successful application Transformer architecture natural language processing (NLP) tasks, novel method called LeViT was introduced asphalt image classification. consists layers, transformer stages where Multi-layer Perception (MLP) multi-head self-attention blocks alternate...

Reclaimed asphalt pavement (RAP) applications are largely limited by the insufficient performance of reclaimed (RA). To address this challenge, composite crumb rubber-modified (CCRMA) with SBS and SBR modifiers was mixed RA to prepare reconciling modified (RRMA) evaluate its in laboratory tests. Experimental groups RRMA included five contents (30%, 40%, 50%, 60%, 70%) three aging degrees. Results showed that RRMA's high-temperature fatigue resistance performances improved adding CCRMA, while...

Rescue and evacuation of underground interchange tunnels after a fire are challenging. Therefore, method integrating building information modeling (BIM) dynamic simulator (FDS) was proposed to analyze characteristics personnel escapes in tunnels. A BIM model built, then different formats (DXF CAD) were generated imported into Pyrosim software Pathfinder software. With an increase ventilation velocity, the CO concentration temperature downstream source increased, visibility decreased,...

The inspection and monitoring of structural conditions are crucial for the maintenance semi-rigid base pavement. To achieve inverse calculation material parameters obtain mechanical response asphalt pavement, a method modulus correction by reducing error between tested simulated strains was first developed. relationship temperature at various depths within pavement structure atmospheric effectively demonstrated using dual sinusoidal regression model. Subsequently, data illustrated that as...

Maintenance of typical pavement structures is critical in Jiangsu, China. Therefore, a method combining accelerated testing, non-destructive and laboratory tests was proposed this study to achieve the performance evaluation conservation measures analysis. After loading one million times on full-scale road section asphalt with semi-rigid bases using large mobile load simulator (MLS66), material structural properties were tested. Results showed that rutting depth surface layer reached 8.9 mm,...

Permanent deformation (rutting) is one of the typical failure modes asphalt pavement with a semirigid base in high-temperature areas. To address issues structure and remaining life prediction, method combining accelerated testing finite element (FE) simulation was proposed. A modified Burgers model considering creep parameter damage obtained using strain monitoring data laboratory test values, which performed FE to analyze rutting development. The results showed that high temperature heavy...