Reliable Structural Stability and Damage Control of Concrete Gravity Dams During Earthquakes by Nazim Abdul Nariman, Ayad Mohammed Ramadan, Rawshan Ali, Raja Rizwan Hussain, Shallaw Abdullah Saleh

“…A multi-objective function authorized by two meta models is being optimized to predict the optimized minimum displacements of the Koyna dam during seismic action in addition to crack damage propagation. The results declared that the meta models are 100% efficient in estimating the response of the structural system of the dam. …”
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…The principal goal for SHM is oriented to the development of efficient methodologies to process these data and provide results associated with the different levels of the damage identification process. …”
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Dynamic tensile mechanical properties and damage fracture mechanisms of saturated frozen sandstone by Ming Li, Fuqiang Zhu, Yiwen Mao, Peng Wu, Yanlong Chen, Ketong Wu, Jiazhi Zhang, Hao Yu

“…Abstract The stability control of slope rock masses is a fundamental prerequisite for the safe and efficient extraction of coal resources in cold regions. …”
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An Experimental Investigation on the Microscopic Damage and Mechanical Properties of Coal Under Hygrothermal Conditions by Haisen Zhao, Guichen Li, Jiahui Xu, Yuantian Sun, Fengzhen He, Haoran Hao, Mengzhuo Han, Bowen Tian

“…Investigating the microstructural damage and mechanical properties of coal under deep mine hygrothermal conditions is essential for ensuring the safe and efficient extraction of coal resources. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…In the realm of hypervelocity impact, strain rate (> 105 s−1) effects are negligible, and fluid dynamics is employed to describe the impact process. Efficient numerical tools for precisely predicting the damage degree can greatly accelerate the design and optimization of advanced protective structures. …”
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An Automatic Damage Detection Method Based on Adaptive Theory-Assisted Reinforcement Learning by Chengwen Zhang, Qing Chun, Yijie Lin

“…Current damage detection methods based on model updating and sensitivity Jacobian matrixes show a low convergence ratio and computational efficiency for online calculations. …”
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Damaging Intermolecular Relaxation Processes Initiated by Heavy-Ion Irradiation of Hydrated Biomolecules by Yue Gao, Anna D. Skitnevskaya, Enliang Wang, Hang Yuan, Xueguang Ren, Hong Lin, Zhenyu Yan, Shaofeng Zhang, Shaofei Gu, Bo Yang, Feng Fang, Shuncheng Yan, Dalong Guo, Xiaolong Zhu, Dongmei Zhao, Caojie Shao, Zhongkui Huang, Xiaorui Xue, Xintai Hao, Jiaqi Zhou, Tongmin Zhang, Jinyu Li, Xinliang Yan, Meng Wang, Lijun Mao, Dayu Yin, Meitang Tang, Youjin Yuan, Jiancheng Yang, Alexander B. Trofimov, Lorenz S. Cederbaum, Alexander I. Kuleff, Xinwen Ma, Shenyue Xu

“…In many cases, however, the mechanisms and efficiency of ICD have yet to be uncovered. A prominent example is heavy-ion cancer therapy. …”
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Performance Optimisation of Low-Damage Foam Fracturing Fluid System in Unconventional Reservoirs by Xuefeng Gong, Liping Mu, Lirong Liu

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Research on Gear Surface Damage Recognition Based on Small Sample Deep Learning by Wang Xiaopeng, Hua Hongpeng, Lu Changqing, Peng Kun, Zhong Yuan, Wu Biqiong

“…It is extremely important to improve the efficiency and accuracy of gear surface damage identification. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.…”
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Damage mechanisms in hybrid composites: experimental characterisation and energy-based numerical analysis by Jo�o M. Parente, Luis M. Ferreira, Paulo N.B. Reis

“…The numerical models incorporate a continuum damage mechanics model to capture intralaminar failure and a surface-based cohesive behaviour for interlaminar damage. …”
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Deep learning and digital twin integration for structural damage detection in ancient pagodas by Sida Xu, Haonan Chen

“…Finally, evaluation metrics are utilized to automatically analyze detection accuracy and the extent of damage. Compared to traditional on-site manual measurement methods, the proposed YOLO-based automatic detection technology in digitalized scenarios significantly reduces labor costs while improving detection accuracy and efficiency. …”
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Overlaps of Skeletal Muscle Fatigue and Skeletal Muscle Damage: The Muscle Injury Continuum by Carsten Schwiete, Christian Roth, Joachim Mester, Holger Broich, Michael Behringer

“…Traditionally, muscle fatigue was thought to arise mainly to metabolic stress, whereas muscle damage was considered a consequence of mechanical overload. …”
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Damaging problems of power and heat-stressed assemblies of locomotive diesels. Analytical review by I. V. Sirotenko, G. V. Gogrichiani

“…During the trial operation, numerous cases of damage and failure of the most important power and heat-stressed components were noted. …”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…The CAE is chosen to take advantage of high feature extraction capability of convolution layers and at the same time use the advantages of an autoencoder as an unsupervised algorithm that does not need data from damaged states in the training phase. Applications on the two numerical models of IASC-ASCE benchmark structure and a grid structure located at the University of Central Florida, as well as the full-scale Tianjin Yonghe Bridge, prove the efficiency of the proposed algorithm in assessing the global health state of the structures and quantifying the damage.…”
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An improved method of AUD-YOLO for surface damage detection of wind turbine blades by Li Zou, Anqi Chen, Xinhua Yang, Yibo Sun

“…Abstract The detection of wind turbine blades (WTBs) damage is crucial for improving power generation efficiency and extending the lifespan of turbines. …”
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A Novel Rail Damage Fault Detection Method for High-Speed Railway by Yu Wang, Bingrong Miao, Ying Zhang, Zhong Huang, Songyuan Xu

“…Firstly, 12 common types of surface damage of the rail head were analyzed and classified into five categories based on their damage characteristics. …”
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Bioestimulant with Ascophyllum nodosum and fulvic acids as mitigating factors of salinity damage in soybean by Bruna A. da Silva, Johny de S. Silva, Toshik I. da Silva, Rafael S. da Costa, Carolina S. de Castro, Letícia K. B. de Oliveira, Tomil R. M. de Sousa, Carlos Y. A. C. Rodrigues, Flávio B. Cardoso, Rosilene O. Mesquita

“…New technologies are being developed to minimize the damage caused by saline stress and improve crop performance. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…There is an acute problem of reduction of the likelihood of unwanted events and mitigation of possible damage. The efficiency of predicting damage to complex systems depends directly on the quality of processing methods, systematization, and the amount of input data. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Instead of using invasive methods to determine the level of damage, the proposal allows us to measure the damage in the livers. …”
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