Surface Damage Detection in Hydraulic Structures from UAV Images Using Lightweight Neural Networks by Feng Han, Chongshi Gu

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An Application of SEMAR IoT Application Server Platform to Drone-Based Wall Inspection System Using AI Model by Yohanes Yohanie Fridelin Panduman, Radhiatul Husna, Noprianto, Nobuo Funabiki, Shunya Sakamaki, Sritrusta Sukaridhoto, Yan Watequlis Syaifudin, Alfiandi Aulia Rahmadani

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Improving Oil Pipeline Surveillance with a Novel 3D Drone Simulation Using Dynamically Constrained Accumulative Membership Fuzzy Logic Algorithm (DCAMFL) for Crack Detection by Omar Saber Muhi, Hameed Mutlag Farhan, Sefer Kurnaz

Subjects: “…Crack detection…”
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Mechanical Response and Anti-Reflective Crack Design in New Asphalt Overlays on Existing Asphalt Overlaying Composite Portland Cement Pavement by Jianping Gao, Zhixiong Qiu, Chunlong Xiong

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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

“…Structural Health Monitoring (SHM) has emerged as a pivotal tool for assessing structural health, with an emphasis on damage detection, localisation, and quantification, particularly through vibration-based methods that exploit variations in modal properties as precursors to structural damage. …”
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Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

“…Comparative analysis with existing semantic segmentation methods further confirms the superiority of the proposed method in tunnel crack detection.…”
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A single degree of freedom model for cracked beam by Tran Thanh Hai, Do Nam

“…Numerical results show that SDI is significantly sensitive to crack and could be used as a novel indicator for crack detection in beam by measurements of frequency response functions. …”
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Effects of Crack on Vibration Characteristics of Mistuned Rotated Blades by Hailong Xu, Zhongsheng Chen, Yongmin Yang, Limin Tao, Xuefeng Chen

“…Rotated blades are key mechanical components in turbine and high cycle fatigues often induce blade cracks. Meanwhile, mistuning is inevitable in rotated blades, which often makes it much difficult to detect cracks. …”
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Detección de la presencia de grietas cerradas en elementos tipo viga mediante la transformada wavelet. // Losing crack detection in beams using wavelet transform. by J. Rodríguez Matienzo

“…</p><p><br />Key words: crack detection, wavelet, modal analysis.</p>…”
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Analysis and Flaw Recognition Application of 70^o Probe Echoes for Rail Flaw Detection Vehicles by XIA Lang, WANG Pin, CAO Jingwei, LI Hongliang

Subjects: “…rail flaw detection vehicle…”
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Shaft Crack Identification Based on Vibration and AE Signals by Wenxiu Lu, Fulei Chu

“…Then an improved union method based on threshold and cross-correlation method is applied to detect the location of the shaft crack. The finite element method is used to build the model of the cracked rotor, and the crack depth is identified by comparing the vibration response of experiment and simulation. …”
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Process of cracking in reinforced concrete beams (simulation and experiment) by I. N. Shardakov, A. P. Shestakov, I.O. Glot, A.A. Bykov

“…At each loading step, the beam was subjected to an impulse load to induce vibrations. Two stages of cracking were detected. During the first stage the nonconservative process of deformation begins to develope, but has not visible signs. …”
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Multiresolution Wavelet Analysis of the Dynamics of a Cracked Rotor by Jerzy T. Sawicki, Asok K. Sen, Grzegorz Litak

“…The obtained results suggest that the present multiresolution approach can be used effectively to detect the presence of a crack in a rotor.…”
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DronePropA: Motion trajectories dataset for defective dronesMendeley Data by Mohamed A.A. Ismail, Mohssen E. Elshaar, Ayman Abdallah, Quan Quan

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Study of gas pipelines cracks using transmission and Compton scattering by Marcela Ferreira Freitas, Cesar Marques Salgado

“…Simulations of different thicknesses of the crack were also used to determine the minimum thickness detected by the two NaI(Tl) detectors. …”
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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…Initially, the model integrates an ECA (Efficient Channel Attention) module with the original U-Net to dynamically calibrate channel features. This enhances the detection of crack-related features and suppresses irrelevant textures. …”
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Self-repairing of rock cracks by microbially induced silicate precipitation by Ryo Uenishi, Ibuki Nishimura, Hitoshi Matsubara

“…Therefore, this mineral is considered to have a crack repair function as it grows. According to observations by scanning electron microscope, many microorganisms were confirmed to be present in the minerals, and genera of Actinobacteria, Proteobacteria, Cyanobacteria, and others were detected by 16S rRNA analysis. …”
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Development of Deep Learning Model for the Recognition of Cracks on Concrete Surfaces by Tien-Thinh Le, Van-Hai Nguyen, Minh Vuong Le

“…This paper is devoted to the development of a deep learning- (DL-) based model to detect crack fractures on concrete surfaces. The developed model for the classification of images was based on a DL Convolutional Neural Network (CNN). …”
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Investigation of crack propagation in the surface white layer of rail steel by A. Yu. Perelygina, V. Yu. Konyukhov, A. E. Balanovskii

“…Cracks are detected in the white layer of rail steel after one thousand test cycles. …”
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UAV-Based Structural Health Monitoring Using a Two-Stage CNN Model with Lighthouse Localization in GNSS-Denied Environments by Timothy Scott C. Chu, Joses Sorilla, Alvin Y. Chua

Subjects: “…Crack Detection…”
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