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Sipho G. Thango, Georgios A. Drosopoulos, Siphesihle M. Motsa and Georgios E. Stavroulakis
A methodology to predict key aspects of the structural response of masonry walls under blast loading using artificial neural networks (ANN) is presented in this paper. The failure patterns of masonry walls due to in and out-of-plane loading are complex d...
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Junrong Wang, Chunlei He, Dianfu Fu, Kuang He and Junfeng Du
Fatigue failure caused by frequent tension and bending loads is a crucial safety concern for mooring chains used on floating structures in the oil and gas industry. The bending effect for a chain?s fatigue is usually not considered by existing fatigue an...
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Pengyu Liu, Yinghao Shen, Mianmo Meng, Senlin Luo, Yi Zhong and Qiming Cen
Gravel is one of the main factors affecting the mechanical properties of conglomerates, which plays a decisive role in crack propagation. In this paper, taking the conglomerate of the Baikouquan Formation in Mahu Sag of Xinjiang as the research object, a...
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Edoardo Goti, Andrea Mura, Haozhe Wang, Xiang Ji and Jing Kong
Among the amazing properties of graphene, superlubricity is one of the most promising properties. This property can be used in industrial field components to reduce friction without using liquid lubricants, and therefore, improve machines? efficiency and...
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Mohammadreza Mohammadi, Araliya Mosleh, Mehran S. Razzaghi, Pedro Alves Costa and Rui Calçada
The purpose of this research is to study the seismic performance of railway embankments through a probabilistic approach. Nonlinear response history analyses were conducted utilizing PLAXIS software. Three categories of railway embankments were selected ...
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