With the continuous advancement of artificial intelligence and big data technologies in recent years, the application of artificial intelligence in bridge engineering has garnered increasing attention. This article examines the development history of artificial intelligence and neural networks, along with their applications in bridge engineering in China. The CiteSpace visualization tool is employed to analyze literature from 1995 to 2024, focusing on publication volume, keyword co-occurrence, and institutional partnerships. This analysis further elucidates the research hotspots within the field.The findings indicate that artificial intelligence has achieved significant developments and breakthroughs in bridge engineering. However, the uneven progress may pose limitations in practical applications. The article concludes by summarizing current shortcomings and outlining potential directions for future development.

This paper covers the design of Lead Compensator for closed loop position control system using field control separately excited direct current motor (SEDCM). The closed loop position control system was developed in MATLAB / SIMULINK software. The aim of compensator design is to improve the transient response of the dc motor shaft (motor) position to step field winding voltage using Bode diagram design technique. The model of the position control system was tested using MATLAB / SIMULINK. The design specification of the system was evaluated and from the simulation results. The compensated system satisfies the design specification and this shows that compensators can be designed with ease using frequency response design method such as Bode diagram and Nichol chart design approach