Probabilistic prediction of fatigue damage based on linear fracture mechanics by M. Krejsa, L. Koubova, J. Flodr, J. Protivinsky, Q. T. Nguyen

“…Three sizes are important for the characteristics of the propagation of fatigue cracks - the initial size, detectable size and acceptable size. …”
Get full text

An Evaluation of the Acoustic Activity Emitted in Fiber-Reinforced Concrete Under Flexure at Low Temperature by Omar A. Kamel, Ahmed A. Abouhussien, Assem A. A. Hassan, Basem H. AbdelAleem

“…Intensity and RA analysis parameters allowed the development of two charts to characterize the detected AE events, whether associated with micro- and macro-cracks considering the temperature effect.…”
Get full text

Acoustic emission localization model of concrete material based on convolutional neural network by DENG Yongdong, ZHOU Jingren, LU Xiang, CHEN Jiangkang

“…The damage location detected by the localization model basically matches the real crack location.ConclusionsThe proposed localization model shows good localization efficiency and localization accuracy. …”
Get full text

HeSARIC: A Heterogeneous Cyber–Physical Robotic Swarm Framework for Structural Health Monitoring with Augmented Reality Representation by Alireza Fath, Christoph Sauter, Yi Liu, Brandon Gamble, Dylan Burns, Evan Trombley, Sai Krishna Reddy Sathi, Tian Xia, Dryver Huston

“…The structural issues investigated are cracks in the walls, deformation of the structures, and damage to the culverts and devices commonly used in buildings. …”
Get full text

Structural Damage Detection Using an Unmanned Aerial Vehicle-Based 3D Model and Deep Learning on a Reinforced Concrete Arch Bridge by Mary C. Alfaro, Rodrigo S. Vidal, Rick M. Delgadillo, Luis Moya, Joan R. Casas

“…An 88.4% accuracy was achieved in crack detection, identifying 18 damage points, of which 3 turned out to be false positives. …”
Get full text

Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition by Andrés Pech-Pérez

“…This study explores the hypothesis that seismic anisotropy and wave resonances can help to reduce uncertainties in fracture and fault detection, particularly in the Noto Peninsula. Seismic data from KiK-net stations ISKH06 and ISKH04 are analyzed using deconvolution and empirical mode decomposition (EMD) to identify wave patterns possibly related to fluid flow and crack propagation. …”
Get full text

A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications by Nikhil Holsamudrkar, Shirsendu Sikdar, Akshay Prakash Kalgutkar, Sauvik Banerjee, Rakesh Mishra

“…However, wind turbines often operate in harsh environmental conditions that can lead to various types of damage, including abrasion, corrosion, fractures, cracks, and delamination. Early detection through structural health monitoring (SHM) is essential for maintaining the efficient and reliable operation of wind turbines, minimizing downtime and maintenance costs, and optimizing energy output. …”
Get full text

Position Estimation of In-Pipe Robot using Artificial Neural Network and Sensor Fusion by Muhammed Fatih Talu, Ömür Aydoğmuş, Abdullah Erhan Akkaya

“…The main goal of detection is to prevent water loss. In this study, sensitive position detection, crack frequency band detection and external sphere studies of an in-pipe robot prototype have performed. …”
Get full text

Microwire vs. Micro-Ribbon Magnetoelastic Sensors for Vibration-Based Structural Health Monitoring of Rectangular Concrete Beams by Christos I. Tapeinos, Dimitris Kouzoudis, Kostantis Varvatsoulis, Manuel Vázquez, Georgios Samourgkanidis

“…The sensing elements were attached to different concrete beams, and a crack was introduced into each beam. The beams were subjected to flexural vibrations, and their deformations were recorded wirelessly by coils, detecting the magnetic signals emitted due to the magnetoelastic nature of the sensors. …”
Get full text

Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…After simulation testing, the detection effect of this model on abrasion, crackle, edge cracking, and coating peeling images was significantly better than other models in the same series. …”
Get full text

Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

“…To address the inefficiencies and low accuracy of traditional manual inspections, this study proposes an automated recognition and quantitative detection method for wall surface damage based on the YOLOv8 deep learning object detection model. …”
Get full text

Assessment of Biogenic Healing Capability, Mechanical Properties, and Freeze–Thaw Durability of Bacterial-Based Concrete Using <i>Bacillus subtilis</i>, <i>Bacillus sphaericus</i>,... by Izhar Ahmad, Mehdi Shokouhian, David Owolabi, Marshell Jenkins, Gabrielle Lynn McLemore

“…Microbial-induced carbonate precipitation technology allows concrete to detect and diagnose cracks autonomously. However, the concrete’s compact structure and alkaline environment necessitate the adoption of a proper carrier material to safeguard microorganisms. …”
Get full text

Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data by Mohammad Rezaeimanesh, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi

“…Pavement distress detection plays a crucial role in pavement management and rehabilitation (M&R) by providing essential data for maintenance decision-making. …”
Get full text

Instability characteristics of surrounding rock and surrounding rock control technology of deep coal roadway crossing the fault: a case study of Zhuxianzhuang coal mine by Huaibin Li, Weipeng Pan, Xinzhu Hua, Bo Luan, Zujun Huang

“…Through the borehole detection technology, the development of the internal cracks in the surrounding rock was observed, and the surrounding rock control technology scheme (the advanced grouting in front of the roadway and the active support of rock bolt + anchor cable + M steel belt + steel beam + metal mesh) was proposed. …”
Get full text

Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review by Kostas Bardis, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Henrique Fernandes

“…Active Thermography (AT) is an example of an NDT method widely used for non-invasive aircraft inspection to detect surface and near-surface defects, such as delamination, debonding, corrosion, impact damage, and cracks. …”
Get full text

Self Attention GAN and SWIN Transformer-Based Pothole Detection With Trust Region-Based LSM and Hough Line Transform for 2D to 3D Conversion by R. Kothai, N. Prabakaran

“…Additionally, we have also employed SWIN transformer with Self-Attention Mechanism where 2D images are transformed into 3D images for better detection of potholes with improved accuracy using Trust Region Reflective Least Square Fitting Method and Hough line Transform along with Inverse Perspective Mapping is employed for dimensionality conversion of pothole dimensions. …”
Get full text

Determination of mode I stress intensity factor using visible mechanochromic luminescent sensing response by Yonggang Ren, Zheng Liu, Zhe Zhang, Xu Chen

“…Rapid detection of fracture damage and structural integrity assessment are critically important for structure safety. …”
Get full text

Optimization of waste plastic fiber concrete with recycled coarse aggregate using RSM and ANN by Sumant Nivarutti Shinde, Sharon Christa, Rakesh Kumar Grover, Nadeem Pasha, D. Harinder, G. Nakkeeran, George Uwadiegwu Alaneme

Get full text

Structural health monitoring of turbo generator foundation by Fatemeh Sharafi, Reza Karami Mohammadi

“…Structural health monitoring has been widely used during the past decades to evaluate the safety of structural assets, detect damages at an early stage, and prevent unexpected and costly damages. …”
Get full text

Influence of changes in the prestress force on dynamic specifications of the prestressed concrete beam by Behrouz Babakhani, Hossein Rahami

Get full text