Evaluation of the low-cost depth cameras for non-destructive testing by Noura Y. Alghanim, Tarig Ali, Ahmed Elaksher, Mohammad Alhamaydeh

Subjects: Get full text

Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

Subjects: Get full text

A simple method of drying polyacrylamide slab gels that eliminates cracking by Ghanshyam D Heda

“…Here I describe a simple and highly reproducible gel-drying method that results in dried gels without the cracks that are frequently encountered with many existing gel-drying methods.…”
Get full text

Analysis of the Fatigue Life for Cracked Planetary Gear of Large Pendulum Reducer by Xue Zhen, Xiang Huiyu, Leng Chongjie, Zhang Yong, Sun Chao

“…By the combined using of ANSYS Workbench and nCode DesignLife,the stress variation and fatigue life of gear is obtained,and thus to verify whether the design could meet the mechanical design requirements and acquire the influence of the crack gear on the fatigue life of reducer.The results can be applied to structure optimization of reducer gear,manufacture and detection under operation.…”
Get full text

Discussion on the Determination Methods for Crack Width Collection Capacity of Highway Pavement by Wang Meixia, Zhang Zhenwei, Hou Zhaohan, Jin Mingyang, Ji Ao

“…This paper summarizes the main detection technologies for highway pavement cracks and the judgment methods for crack width, and introduces the existing evaluation standards and metrological verification systems. …”
Get full text

Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

“…To tackle the challenges of detecting complex cracks on large stone slabs with noisy textures, this paper presents the first domain-optimized framework for stone slab cracks, an improved semantic segmentation model (YOLOv8-Seg) synergistically integrating U-NetV2, DSConv, and DySample. …”
Get full text

Damage localization of closing cracks using a signal decomposition technique by J. Prawin, A. Rama Mohan Rao

“…It can be concluded from the investigations that the proposed signal decomposition based damage localization technique can detect and locate more than one crack present in the structure.…”
Get full text

Measurement of the Poisson expansion effect on crack openings in self-sensing concrete by Xueying Wang, Lee Scott Cunningham, Michele Win Tai Mak, Janet Lees, Abir Al-Tabbaa, Stuart Kenneth Haigh

“…Abstract Concrete infrastructure tends to degrade with extended service life, but detecting deterioration with conventional inspection methods can be challenging. …”
Get full text

IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism by Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang

Subjects: “…surface crack detection of sawn timber…”
Get full text

Model-Based Analysis of Spur Gears’ Dynamic Behavior in the Presence of Multiple Cracks by Ahmed Saeed Mohamed, Sadok Sassi, Mohammad Roshun Paurobally

“…Early detection of tooth cracks is crucial for effective condition-based monitoring and decision making. …”
Get full text

Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…Four models – Convolutional neural network (CNN), residual network (ResNet50), Long Short-Term Memory (LSTM), and Visual Geometry Group (VGG16) – were evaluated using six publicly available datasets: Structural Defects Network 2018, surface crack detection (SCD), Concrete and pavement crack (CPC), Crack detection in images of bricks and masonry, concrete cracks image, and historical building crack. …”
Get full text

PPDD: Egocentric Crack Segmentation in the Port Pavement with Deep Learning-Based Methods by Hyemin Yoon, Hoe-Kyoung Kim, Sangjin Kim

“…In this context, automated crack detection technology plays a vital role in reducing maintenance costs and enhancing operational efficiency. …”
Get full text

Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation by Gao Hongbo, Wu Qingyang

“…In view of the similarity between transient components extraction from mechanical vibration signals and the significant speech information detection from noisy environment,a gear crack fault feature extraction method based on auditory attention mechanism is proposed. …”
Get full text

Application of the acoustic emission method in fatigue cracking and fracture toughness estimation for steel by S. PILECKI, J. SIEDLACZEK

“…Based on the experiments conducted for the St90PA steel, possibilities of the fatigue cracks initiation detection by use of the AE method are discussed herein. …”
Get full text

Pavement Crack Extraction Method from Mobile Laser Scanning Point Cloud by Anh Thu Thi Phan, Thi Ngoc Huynh

“…The automatic detection of cracks in the road surface is of great significance for maintaining the road surface to ensure the safety of moving vehicles. …”
Get full text

Monitoring a sudden crack of beam-like bridge during earthquake excitation by Nguyen Viet Khoa

“…To overcome this disadvantage, wavelet spectrum, a time-frequency analysis, is used for monitoring a sudden change in frequency duringearthquake excitation for crack detection. In this study, a model of 3D crack is applied. …”
Get full text

Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

“…The crack feature is the key to crack recognition in concrete surface crack detection systems based on machine vision. …”
Get full text

Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…Early automatic detection of these cracks can significantly extend the lifespan of critical infrastructures, such as bridges, buildings, and tunnels, while simultaneously reducing maintenance costs and facilitating efficient structural health monitoring. …”
Get full text

VM-UNet++ research on crack image segmentation based on improved VM-UNet by Wenliang Tang, Ziyi Wu, Wei Wang, Youqin Pan, Weihua Gan

“…Abstract Cracks are common defects in physical structures, and if not detected and addressed in a timely manner, they can pose a severe threat to the overall safety of the structure. …”
Get full text

Cracking rare disorders: a new minimally invasive RNA-seq protocol by Laurenz De Cock, Erika D’haenens, Lies Vantomme, Lynn Backers, Aude Beyens, Kathleen BM Claes, Griet De Clercq, Robin de Putter, Candy Kumps, Nika Schuermans, Jo Sourbron, Hannes Syryn, Simon Tavernier, Eva Vanbelleghem, Olivier Vanakker, Bart Vandekerckhove, Tim Van Damme, Bert Callewaert, Annelies Dheedene, Sarah Vergult, Björn Menten

Get full text