Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Recycled concrete bridge engineering based on artificial intelligence algorithm
In recent years, the construction industry has developed rapidly. As the largest amount of building materials, the consumption of concrete is increasing day by day. As a kind of green and healthy concrete, the development and application of recycled concrete(RC) can not only alleviate the occupation of natural resources by concrete and ensure the sustainable development of human society, but also have important significance for resource recycling and environmental protection. Based on this, this paper puts forward artificial intelligence algorithm(AIA), discusses its application in RC bridge engineering, and briefly analyzes the basic mechanical properties, processing technology and mix design of RC; The grey neural network predictive control of the durability index of RC bridge is discussed, and the network output results of the predicted and measured strength of RC bridge of AIA are measured through experiments. The results show that the predicted results have a certain guiding effect on the subsequent construction control, and verify the feasibility of applying AIA to RC bridge engineering proposed in this paper.
Recycled concrete bridge engineering based on artificial intelligence algorithm
In recent years, the construction industry has developed rapidly. As the largest amount of building materials, the consumption of concrete is increasing day by day. As a kind of green and healthy concrete, the development and application of recycled concrete(RC) can not only alleviate the occupation of natural resources by concrete and ensure the sustainable development of human society, but also have important significance for resource recycling and environmental protection. Based on this, this paper puts forward artificial intelligence algorithm(AIA), discusses its application in RC bridge engineering, and briefly analyzes the basic mechanical properties, processing technology and mix design of RC; The grey neural network predictive control of the durability index of RC bridge is discussed, and the network output results of the predicted and measured strength of RC bridge of AIA are measured through experiments. The results show that the predicted results have a certain guiding effect on the subsequent construction control, and verify the feasibility of applying AIA to RC bridge engineering proposed in this paper.
Recycled concrete bridge engineering based on artificial intelligence algorithm
Wang, Guicheng (Autor:in) / Ma, Chong (Autor:in) / Sun, Jilin (Autor:in) / Pan, Xiangguang (Autor:in) / Zhang, Zongke (Autor:in) / Xu, Ziyi (Autor:in) / Wu, Fan (Autor:in) / Liu, Chuanqi (Autor:in)
International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022) ; 2022 ; Hohhot,China
Proc. SPIE ; 12454
23.11.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Artificial Intelligence in Bridge Engineering
| Online Contents | 1996
Artificial Intelligence in Bridge Management System
| British Library Conference Proceedings | 1990
Recycled aggregate concrete-an engineering sustainable alternative
| British Library Conference Proceedings | 2006