Results 71 to 80 of about 1,151 (212)
The high‐strain‐rate behavior of resistance spot‐welded DP800–DP1000 joints is investigated. Results show that microstructural gradients across BM–HAZ–FZ govern hardness, strain rate sensitivity, and failure modes. While strength increases with strain rate, energy absorption is controlled by ductility, with DP800–DP800 joints showing superior ...
Pankaj Shrivastava, Velaphi Msomi
wiley +1 more source
The measurement of the longitudinal rail profile is relevant to the condition monitoring of the rail infrastructure. The running surface is recognizable as a shiny metallic area on top of the rail head. The detection of the running surface is crucial for
Florian Mauz +3 more
doaj +1 more source
Multi‐level fatigue reliability assessment of reinforced concrete railway bridges
Abstract This paper presents a multi‐level reliability framework for assessing the fatigue life of reinforced concrete (RC) railway trough bridges subjected to cyclic loading. The framework incorporates increasing levels of analytical complexity and real‐world data in four steps. First, an analytical model applies S–N curves and the Palmgren–Miner rule
Silvia Sarmiento +7 more
wiley +1 more source
Do the public take action when a severe snow warning is issued?
Extreme weather events pose significant risks to the population, making timely warnings essential for preparedness. The UK Met Office’s National Severe Weather Warning Service (NSWWS) has issued impact‐based alerts for over a decade, yet evaluations of their effectiveness remain limited.
Helen Dacre, Rachel McCloy, Joi Alon
wiley +1 more source
Surface defect characterisation using non-contact ultrasound [PDF]
Electromagnetic acoustic transducers (EMATs) have been used as a non-contact ultrasound approach for detecting and characterising surface defects in aluminium bars and billet.
Rosli, M. H.
core
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu +4 more
wiley +1 more source
Rail Surface Defect Detection Based on Dual-Path Feature Fusion
With the rapid development of rail transit, the workload of track maintenance has increased, making the intelligent identification of rail surface defects crucial for improving detection efficiency. To address issues such as low defect detection accuracy,
Yinfeng Zhong, Guorong Chen
core +1 more source
Rail Surface Defect Detection and Location Based on Image Processing
In recent years, railways have become an important means of transportation for the country, bringing great convenience to the masses and promoting the economic development if the country. These rails play a crucial part in the train operating. The detection of rail surface defects is vital for high-speed rail maintenance and management.
Altantsetseg Davaakhuu, Dong Hua Jun
openaire +1 more source
YOLO-GSD-seg: YOLO for Guide Rail Surface Defect Segmentation and Detection
To address the challenges of accurately extracting features from elongated scratches, irregular defects, and small-scale surface flaws on high-precision linear guide rails, this paper proposes a novel instance segmentation algorithm tailored for guide ...
Shijun Lai +4 more
doaj +1 more source
This work presents a compact induction heating system for time‐resolved in situ X‐ray diffraction imaging. The system enables contact‐free volumetric heating up to approximately 1600°C and provides flexible operation in different operating modes. Its performance is demonstrated through representative diffraction imaging experiments.We present a compact
Merve P. Kabukcuoglu +6 more
wiley +1 more source

