Results 71 to 80 of about 1,967 (202)
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
Paint baking of resistance spot welded joints of 2.0 GPa warm‐stamped medium‐Mn steel activates low‐temperature tempering, forming fine cementite in the fusion zone and enhancing toughness. Crack propagation resistance increases, shifting the failure mode from partial interfacial to complete pullout, with peak load and energy absorption rising ...
Sunusi Marwana Manladan +8 more
wiley +1 more source
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
Effects of surface defects on rolling contact fatigue of rail
AbstractRolling contact fatigue damages on the surface of rail such as head check, squats are one of growing problems. Squats are originated from the white etching layer (WEL) or the dent on rail surface and accompanied with dark spots including cracks. Another form of rail surface damage, known as “Ballast imprint” has become apparent.
Seo, Jungwon +2 more
openaire +1 more source
YOLOv8n-RSDD: A High-Performance Low-Complexity Rail Surface Defect Detection Network
Detecting surface defects on railway tracks is of significant importance for reducing the risk of safety incidents in high-speed railways. In response to the challenges in the field of railway track surface defect detection, such as insufficient ...
Zhanao Fang +5 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
Railway Wheel Flat and Rail Surface Defect Detection by Time-Frequency Analysis
Damage to the surface of railway wheels and rails commonly occurs in most railways and, if not detected at an early stage, can result in rapid deterioration and possible failure incurring high maintenance costs.
B. Liang +5 more
doaj +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
A Novel Decomposition Model for Visual Rail Surface Inspection
Rail surface inspection plays a pivotal role in large-scale railway construction and development. However, accurately identifying possible defects involving a large variety of visual appearances and their dynamic illuminations remains challenging.
Ziwen Zhang, Zhiyu Liu, Mangui Liang
core +1 more source

