Abstract In order to address and optimize the issues in the current assessment of bridge bearing capacity, such as the heavy workload associated with processing bridge data, the tedious modeling process, the inability to automatically calculate sub-item correction coefficients, and the lack of automatic report output and key data analysis functions, this paper has developed a cloud-based rapid calculation and analysis system for highway bridge bearing capacity. Firstly, the system is capable of quickly establishing finite element models and conducting detailed finite element calculations and analyses. Subsequently, based on field test data, it automatically calculates checking coefficients for each item and compares and analyzes the bridge’s bearing capacity. Utilizing a cloud network platform enables more convenient and rapid creation of bridge tasks and projects, key data statistical analysis, automatic report output, among other functions. Examples demonstrate that the system achieves data fusion, statistics, result verification which shifts highway bridge bearing capacity evaluation towards networking and automation while enhancing efficiency and quality in carrying capacity evaluation work.
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