Overturning and cracking of stellar objects in modified $$f(R, \varphi )$$ f ( R , φ ) gravity by Adnan Malik, Attiya Shafaq, Fatemah Mofarreh, M. Farasat Shamir, Wedad Albalawi

“…In this regard, we consider spherically symmetric spacetime characterized with an anisotropic matter to detect the instabilities of self-gravitating compact objects via cracking and overturning. …”
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Stress Corrosion Cracking of a Forged Mg-Al-Zn Alloy with Different Surface Conditions by Zhongwei Yin, Fengjuan Liu, Dongdong Song, Shihuan He, Jun Lin, Feng Yu

“…With microarc oxidation (MAO) coating, corrosion resistance was enhanced, but more surface cracks were induced, and microcracks could be detected inside corrosive pits when the load was 0.75σ0.2, which is similar to the bare alloy. …”
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Fatigue Life Assessment and Reliability Analysis of Cope-Hole Details in Steel Bridges by Ping Liao, Yongbao Wang, Xiucheng Zhang, Renda Zhao, Yi Jia, Haifeng Zhu

Subjects: “…detection period…”
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Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement by Umar Talha, Waleed Bin Yousuf, Tariq Mairaj

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Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

“…Deep learning has achieved good results in the crack detection of roads and bridges. However, the timber structures of ancient architecture have strong orthotropic anisotropy and complex microscopic structures, and the law of cracks development is extremely complex. …”
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Segmenting hydrogen‐induced cracking defects in steel through scanning acoustic microscopy and deep neural networks by Thi Thu Ha Vu, Tan Hung Vo, Le Hai Tran, Jaeyeop Choi, Truong Tien Vo, Cao Duong Ly, Thanh Phuoc Nguyen, Sudip Mondal, Junghwan Oh

“…Abstract Hydrogen‐induced cracking (HIC) presents a significant concern in industries, such as oil and gas, petrochemicals, and aerospace, where high‐strength steel is prevalently used. …”
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

“…The research results provide new ideas for the intelligent detection of cracks in the rock mass, which offer high-confidence data support for engineering decisions in complex geological environments.…”
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ANF-Net: A Refined Segmentation Network for Road Scenes with Multiple Noises and Various Morphologies of Cracks by Xiao Hu, Qihao Chen, Xiuguo Liu, Gang Deng, Cheng Chi, Bin Wang

“…Timely and accurate crack detection plays a crucial role in mitigating such risks and holds significant importance for infrastructure maintenance. …”
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Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging by Elise Van Vlierberghe, Jeroen Soete, Eleni Myrto Asimakopoulou, Zisheng Yao, Julia Rogalinski, Zhe Hu, Kannara Mom, Bratislav Lukić, Christian Breite, Pablo Villanueava Perez, Yentl Swolfs

“…Radiographs taken at three angles with synchrotron radiation enabled the detection of crack propagation and other damage mechanisms related to the final failure of composites. …”
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Further investigation on microstructure refinement of internal crack initiation region in VHCF regime of high-strength steels by Yukun Chang, Liang Zheng, Xiangnan Pan, Youshi Hong

“…The profile samples prepared by focused ion beam (FIB) in crack initiation region (CIR) and fish-eye (FiE) region of failed specimens subjected to rotary bending (RB) and ultrasonic axial (UL) fatigue testing with various stress ratios (R) were observed by transmission electron microscopy (TEM) with selected area electron diffraction (SAD) detection for two high-strength steels. …”
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Further investigation on microstructure refinement of internal crack initiation region in VHCF regime of high-strength steels by Yukun Chang, Liang Zheng, Xiangnan Pan, Youshi Hong

“…The profile samples prepared by focused ion beam (FIB) in crack initiation region (CIR) and fish-eye (FiE) region of failed specimens subjected to rotary bending (RB) and ultrasonic axial (UL) fatigue testing with various stress ratios (R) were observed by transmission electron microscopy (TEM) with selected area electron diffraction (SAD) detection for two high-strength steels. …”
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Assessment of a polymeric composite as a radiation attenuator and a restoration mortar for cracking in biological shields by A. T. Gheith, M. A. El-Sarraf, I. E. Hasan, N. L. Helal, R. A. Rizk, Amal A. El-Sawy, A. El-Sayed Abdo

“…This work is dedicated to figuring out robust epoxy/magnetite/boron carbide (EP/Mag/B4C) composite for radiation attenuation at multiple applications related to nuclear installations, as well as restoration mortar for cracking developed in concrete biological shields. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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Structural assessment of an offshore oil and gas jacket platform with cracks based on engineering critical assessment (ECA) by DU Peng

“…If cracks ranging from 0.5 to 2.0 mm were detected, maintenance was recommended within 13.2 to 5.2 h. …”
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NONLINEAR VIBRATION CHARACTERISTICS OF A CANTILEVER BEAM WITH A BREATHING CRACK BASED ON VIBRATION POWER FLOW by WAN Wen, LI GuangBu

“…The results demonstrate that the proposed method is much sensitive to small cracks than classical methods and provides a new way of detecting early cracks.…”
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Automated Identification and Analysis of Cracks and Damage in Historical Buildings Using Advanced YOLO-Based Machine Vision Technology by Kui Gao, Li Chen, Zhiyong Li, Zhifeng Wu

“…This study highlights the practicality of deep learning-based crack detection methods for preserving building heritage. …”
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A Novel Approach to Multi-Class Crack Classification: ResNet50 Enhanced with Squeeze-and-Excitation Blocks by Mazleenda Mazni, Abdul Rashid Husain, Devi Willieam Anggara, Mohd Ibrahim Shapiai, Riyadh Zulkifli, Munirah Onn

“…These findings validate the effectiveness of SE-enhanced architectures in improving feature extraction and classification accuracy, marking a significant advancement in automated crack detection.…”
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Superiority of Fault-Caused-Speed-Fluctuation-Based Dynamics Modeling: An Example on Planetary Gearbox with Cracked Sun Gear by Xiaoqing Yang, Guolin He, Canyi Du, Lei Xu, Junjie Yu, Haiyang Zeng, Yanfeng Li

“…The experiment conducted on a single-stage planetary gearbox confirms the validity and superiority of the proposed model, which holds significant value for guiding fault detection and prognosis in planetary gearboxes.…”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…The outcome emphasizes its ability to identify the most effective solution for crack detection in practical scenarios, where PCA-based feature selection improves computational efficiency without compromising performance. …”
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Multi-CrackNet: A Fast Segmentation and Quantification Combined Method for Rock Discontinuity Traces by Capturing an Image by Lan Qiao, Nai-Fu Deng, Qing-Wen Li, Qing-Long Zhang, Jia-Wang Hao

“…Additionally, a hybrid pixel-level quantification method is proposed to automatically compute the length, width, and inclination of cracks. Results show that the proposed method can achieve a detection accuracy of 87.1% for 1 to 9 sets of cracks on the rock surface across different types of rock. …”
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