Flow-Induced Fatigue Damage of Large Francis Turbines Under Multiple Operating Loads by Pinghu Liu, Xingxing Huang, Tianyu Yang, Zhengwei Wang

“…In-depth analyses of the flow characteristics of the Francis runner under various operating conditions and avoiding fatigue damage of the Francis runner are crucial to the reliability and efficiency of hydropower operation. …”
Get full text

Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models by Renato Melo, Rafaelle Finotti, António Guedes, Vítor Gonçalves, Andreia Meixedo, Diogo Ribeiro, Flávio Barbosa, Alexandre Cury

“…These findings highlight SAE’s potential as an interesting tool for predictive maintenance, offering improved efficiency and safety in railway operations.…”
Get full text

Thermo-mechanical-metallurgical and damage modeling for hot stamping and warm-cutting of boron steel by Yongfeng Li, Hui Zhang, Shuhui Li

“…The novel thermomechanical coupled damage test is designed to identify the damage parameters related to temperature and strain rate of the proposed model. …”
Get full text

Grain Damage in Low­Speed Collision with the Surfaces of the Hoisting­and­Transport Machines Working Parts by V. I. Pakhomov, S. V. Braginets, E. V. Benova, O. N. Bakhchevnikov, D. S. Podlesnyy

“…It was found that at incidence angle up to 60 degrees, the specified difference didn’t exceed 4 percentage points and reached zero at an angle of 45 degrees. The low efficiency of replacing steel working parts with plastic ones to reduce grain damage when driving at low speed was explained by the weak manifestation of the decrease effect in the potential energy of grain deformation upon impact on a plastic surface at a collision low speed.…”
Get full text

Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…The novelty of this study lies in the innovative application of KAN in the concrete damage Poisson’s ratio prediction model, as well as the approach of combining a small amount of measured data with FEM to enhance the efficiency of generating training and testing data. …”
Get full text

Analysis of Damage Characteristics and Fragmentation Simulation of Soybean Seeds Based on the Finite-Element Method by Yuxuan Chen, Zhong Tang, Bin Li, Shiguo Wang, Yang Liu, Weiwei Zhou, Jianpeng Jing, Xiaoying He

“…Compression tests were conducted on the soybeans in vertical, horizontal, and lateral orientations at the same loading speed to analyze the load and damage stages of these soybeans harvested in Xinjiang. …”
Get full text

Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters by Ran Li, Xiaofei Ye, Shuyi Pei, Xingchen Yan, Tao Wang, Jun Chen, Pengjun Zheng

“…Compared with the model without consideration, the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88% and 8.73%, respectively. …”
Get full text

Efficiency of enterosorption in gastrointestinal allergy in young children by T. G. Malanicheva, N. V. Ziatdinova, Z. R. Sharkhymullina, V. A. Olshansky

Get full text

Improvement efficiency and stability for silicon solar cells by Subhi Halboos Nagham, Falh Hassan Adnan

“…Scientific research is advancing rapidly to enhance solar cell efficiency as an alternative to fossil fuels, which cause significant environmental damage. …”
Get full text

Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…These models may be used to estimate the compressive strength of masonry or repair mortars, probable damage scenarios in buildings, concrete models, beams, and columns for determining the mechanical characteristics of materials, damage detection in civil structures, and so on. …”
Get full text

Toward Autonomous Self‐Healing in Soft Robotics: A Review and Perspective for Future Research by Seyedreza Kashef Tabrizian, Seppe Terryn, Bram Vanderborght

“…These phases are classified into five: damage detection, damage cleaning, damage closure, stimulus‐triggered material healing, and recovery assessment. …”
Get full text

Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…These models may be used to estimate the compressive strength of masonry or repair mortars, probable damage scenarios in buildings, concrete models, beams, and columns for determining the mechanical characteristics of materials, damage detection in civil structures, and so on.  …”
Get full text

Pancar Boşaltma-Temizleme ve Yükleme Makinalarının Mekanik Temizleme Etkinliğinin Belirlenmesi by Ahmet Çolak, Ayhan Kangal

Subjects: Get full text

Efficiency of Noninvasive Ventilation in Acute Heart Failure by Z. Z. Nadiradze, Yu. A. Bakhareva, I. A. Karetnikov

“…Objective: to evaluate the efficiency of noninvasive supporting ventilation in patients with acute cardiorespiratory failure in the early postoperative period after cardiac surgery under extracorporeal circulation. …”
Get full text

LiDAR-estimated height in a young Scots pine (Pinus sylvestris L.) genetic trial supports high-accuracy early selection for height by Mateusz Liziniewicz, Curt Almqvist, Andreas Helmersson, Anton Holmström, Liviu Theodor Ene

“…This approach not only holds promise for improving forest production but also for evaluating emerging challenges such as fungal infestations and drought damage. Our research demonstrates the efficiency of utilizing height data derived from LiDAR analysis to identify superior genotypes within the Scots pine breeding program, aimed at enhancing volume production. …”
Get full text

Experimental investigation on the damage mechanical proper-ties of red sandstone under freeze-thaw cycles by Peng Zeng, Peng Zeng, Yonglin Ren, Kui Zhao, Kui Zhao, Xianda Yang, Zhen Huang, Zhen Huang, Yanda Li, Liangfeng Xiong, Liangfeng Xiong, Cong Gong, Cong Gong

Get full text

A progessive damage fatigue model for unidirectional laminated composites based on finite element analysis by Michael Hack, D. Carrella-Payan, B. Magneville, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The intra-laminar fatigue damage model combines efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level.…”
Get full text

DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection by Weichao Pan, Jianmei Lei, Xu Wang, Chengze Lv, Gongrui Wang, Chong Li

“…Existing methods for detecting road damage mainly depend on manual inspections or sensor-equipped vehicles, which are inefficient, have limited coverage, and are susceptible to errors and delays. …”
Get full text

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

“…Timely and accurate identification of surface damage in hydraulic structures is essential for maintaining structural integrity and ensuring operational safety. …”
Get full text

How chromatin is remodelled during DNA repair of UV-induced DNA damage in Saccharomyces cerevisiae. by Shirong Yu, Yumin Teng, Raymond Waters, Simon H Reed

“…The resultant changes in histone H3 acetylation promote chromatin remodelling necessary for efficient repair of DNA damage. Recent evidence suggests that GCN5 plays a role in NER in human cells. …”
Get full text