Bolted connections have become the most widely used connection method in steel structures. Over long-term service of bolts, loosening damage and other defects will inevitably occur due to various factors. To ensure stability bolted connections, an efficient precise for identifying loosened bolts a given structure is proposed based on computer vision technology. The main idea this combine deep learning with image processing techniques recognize label angle from bolt images. A rectangular...

Obtaining accurate and real-time spatial distribution information regarding crops is critical for enabling effective smart agricultural management. In this study, innovative decision fusion strategies, including Enhanced Overall Accuracy Index (E-OAI) voting the Index-based Majority Voting (OAI-MV), were introduced to optimize use of diverse remote sensing data various classifiers, thereby improving accuracy crop/vegetation identification. These strategies utilized integrate classification...

The state of health (SOH) lithium batteries serves as a critical indicator their safety performance, but changes in physical parameters such current, voltage and temperature complicate the SOH estimation. In this paper, we propose method for prediction utilizing Wavelet Packet Transform (WPT) Crested Porcupine Optimization (CPO) algorithm under different conditions. First, WPT was used to process data groups reduce noise. Secondly, several factors based on charging current other related...

In the engineering domain, detection of damage in high-strength bolts is critical for ensuring safe and reliable operation equipment. Traditional manual inspection methods are not only inefficient but also susceptible to human error. This paper proposes an automated bolt identification method leveraging AIGC (Artificial Intelligence Generated Content) technology object algorithms. Specifically, we introduce application image generation, focusing on Stable Diffusion model. Given that quality...

The study of the slurry reinforcement mechanism is mainly focused on interaction between and soil. seepage effect always exists no matter what way interacts with soil around pile. In process diffusion, porosity soil, permeability slurry, pressure vary due to some cement particles being blocked by particle skeleton. Therefore, filtration great significance for predicting permeation diffusion law slurry. this paper, a macroscopic linear model was introduced changes properties in were...

Computational cost reduction and best model updating method seeking are the key issues during for different kinds of bridges. This paper presents a combined method, Kriging Latin hypercube sampling finite element (FE) updating. For FE updating, is serving as surrogate model, it linear unbiased minimum variance estimation to known data in region which have similar features. To predict relationship between structural parameters responses, samples preselected, then (LHS) applied. verify...

In this paper, a new MPPT system has been developed, consisting of buck-type dc/dc converter, which is controlled by micro-controller-based unit. Based on the nonlinear characteristics photovoltaic (PV), these paper designs VSS controller to realize maximum power output PV arrays and introduces fundamental. Comparing with other techniques used in past, use proposed control improves performance. And results simulation experiment are present.

Based on the improved first order Taylor interval expansion, a new analysis method for static or dynamic response of structures with parameters is presented. In derivative terms function are also considered to be intervals. Combining series expansion and extension function, derived. The present implemented continuous beam frame structure. numerical results show that more accurate than one based conventional expansion.

For the simple bridge structure, finite element model established by drawing and elastic mechanics method is accurate. However, when faced with large complex long-span structures, there are inevitable differences between physical model, where has to be updated. It problematic that updating structural matrix cannot fed back into existing general calculation software in traditional method. In this paper, a parameter-type based on “Kriging + swarm intelligence” optimization proposed. The...

Crack detection is an important task in bridge health monitoring, and related methods have gradually shifted from traditional manual to intelligent approaches with convolutional neural networks (CNNs) recent years. Due the opaque process of training operating CNNs, if learned features for identifying cracks network are not evaluated, it may lead safety risks. In this study, evaluate recognition basis different crack networks; several CNNs trained using same conditions. Afterwards, images...

Train-induced feelable vibrations can bring side effects to people living or working in the building, as well operation of precise equipment. As massive construction over-track buildings above metro depots prevails megacities, impacts from train-induced vibration take more concern. Four standard-designed 4-story steel-framed offices throat area Qianhai depot Shenzhen, China, are studied this research. The field measurements were conducted investigate influences track alignment and location...

Miniature spectrometers have the advantage of high portability and integration, making them quick easy to use in various working environments. The speckle patterns produced by light scattering through a disordered medium are highly sensitive wavelength changes can be used design high-precision wavemeters spectrometers. In this study, we self-organized, femtosecond laser-prepared nanostructure with characteristic size approximately 30–50 nm on sapphire surface as effectively induce spectral...

The utilization of light scattering in disordered media has shown promise the design highly sensitive speckle spectrometers. Significant advances have been made research all-fiber spectrometers, and various planar also garnered attention many researchers. In this study, we designed a compact spectrometer employing femtosecond laser to induce double-sided nanostructures on quartz glass as medium. Once transmission matrix is calibrated, spectrum can be reconstructed over bandwidth 100 nm,...

This paper presents the adaptive algorithm to resolve problem in maximum power point tracking (MPPT) of solar cell battery charger and applies it design for MPPT system. Results research show that has not only accelerated calculating speed strengthen searching performances, but also high precision.

In this paper, ARCH (autoregressive conditional heteroscedasticity) effects of load time series is analyzed and a new feasible method forecast based on model proposed. The main achievements the paper involve following aspects: Firstly, by testing disturbance classical model, Some witness to effect reported LM test. Secondly, An ARMA-ARCH constructed. This judged have good ability, compares favourably with ARMA in theoretic significance. Furthermore, relatively deep research second-order...

Pedestrian-induced vibration comfort is an important factor affecting the serviceability of footbridges. This article proposes a smartphone-based evaluation system for pedestrian-induced footbridge comfort, and consists data acquisition subsystem, management center smartphone client. Four technical challenges in application are solved: coordinates transformation, acceleration signal drift correction, filtering, computation total weighted root mean square acceleration. To verify validity...

Widespread interest has been drawn to the use of solid waste fillers as a partial replacement for natural in high-performance asphalt mixtures recent years. However, variations material properties remain problem recycling method. To address this issue, limestone powder was replaced with three fillers, including steel slag powder, tailings and calcium carbide study. The chemical composition first characterized assess homogeneity material. Then, dense-graded mixture (AC) stone matrix (SMA)...