Fanhui Meng , Bo Qi , Zijian Jing , Jin Wang , Xin Li , Junli Guo
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引用次数: 0
Abstract
This paper conducts a research on the full-process mechanical behavior analysis of fixed guided beams. Compared with traditional neural network prediction technologies, there are significant differences in data characteristics, specifically manifested in a large number of output parameters and a small number of input parameters. Compared with network models such as MLP widely used in engineering, the prediction network model based on decision trees not only has higher accuracy but also features lower computational requirements. A fixed-step dataset of mechanical properties is generated through elliptic integration, and the trained decision tree-based neural network achieves excellent performance under multiple evaluation criteria. Finally, experimental results indicate that there are unpredictable factors between the theoretical and actual values of fixed guided beams, further elaborating on the application prospects of neural network technology in the future.
期刊介绍:
Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses.
Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering.
The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.