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Kunpeng Tian, Jicheng Huang, Bin Zhang, Aimin Ji and Zhonghua Xu
In response to the unclear impact of header vibration on cutting performance (stalk cutting quality and cutting energy consumption) during field operations of industrial hemp harvesters, this study utilized a vibration recorder to collect information on ...
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Jinfeng Liu, Guoqing Feng, Jiaying Wang, Huilong Ren, Wei Song and Panpan Lin
Welding defects are known to cause crack propagation and reduce structural fatigue performance. Based on the Paris theory of fracture mechanics, research is conducted on evaluation methods for analyzing fatigue crack propagation by adopting random loads ...
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Hao Yang, Kai Bian, Tieji Wang, Zidong Jin, Bo Liu, Hui Sun and Junbin Chang
In order to effectively prevent and control the problem of water inrush from the through-type fault floor, based on the analysis of the case data of water inrush from the fault structure in the Fengfeng mining area, the types of karst water inrush from t...
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Eugen Stockburger, Hendrik Wester and Bernd-Arno Behrens
Advanced high-strength steels (AHHS) are widely used in many production lines of car components. For efficient design of the forming processes, numerical methods are frequently applied in the automotive industry. To model the forming processes realistica...
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Huating Chen, Yifan Zhuo, Yubo Jiao and Weigang Bao
The fatigue safety of cable-girder anchorage structures in cable-stayed bridges under long-term service has attracted much attention. For bridges located in seasonally cold regions, the effect of low-temperature environments should be considered when eva...
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Xiaohu Zhang and Haifeng Huang
Crack detection is an important task for road maintenance. Currently, convolutional neural-network-based segmentation models with attention blocks have achieved promising results, for the reason that these models can avoid the interference of lights and ...
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Yingxiang Zhao, Lumei Zhou, Xiaoli Wang, Fan Wang and Gang Shi
Cracks are a common type of road distress. However, the traditional manual and vehicle-borne methods of detecting road cracks are inefficient, with a high rate of missed inspections. The development of unmanned aerial vehicles (UAVs) and deep learning ha...
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Yihua Nie, Qing Liu, Zhiheng Xiang, Shixiong Zhong and Xinyao Huang
Efficient disposal of composite materials recycled from wind turbine blades (WTB) at end-of-life needs to be solved urgently. To investigate the modification effects and mechanism on SBS-modified asphalt of the recycled glass fiber (GF) from WTB, GF-WTB/...
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Guohui Zhang, Xinlan Ni, Xiong Wei, Zhendong Yang and Yanshuang Gu
Saturated concrete is significantly different from dry concrete in fracture mechanical properties. Using the wedge-splitting tensile method to research the rule of change in moisture content, double-K fracture toughness and fracture energy of three stren...
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Tao Jin, Wen Zhang, Chunlai Chen, Bin Chen, Yizhou Zhuang and He Zhang
Deep-learning- and unmanned aerial vehicle (UAV)-based methods facilitate structural crack detection for tall structures. However, contemporary datasets are generally established using images taken with handheld or vehicle-mounted cameras. Thus, these im...
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