Abstract：Abstract：Research purposes： Subgrade compaction is a crucial link in the construction of railway roadbed, and the degree of compaction is the key to quality assurance of roadbed construction. For a long time, testing compacted roadbed always suffers from long delay, high frequency and heavy workload problems. Those problems seriously influence the construction process and cause unpredictable economic losses. In order to deal with those problems, it proposes a detection technology of subgrade compaction using BIM models, and this method achieves automatic sample, disposition, integration display and management, reduces the manual operation and improves the efficiency of roadbed construction.
Research conclusions：(1) BIM technology is introduced into the construction of railway roadbed can improve accuracy and quality of subgrade construction, control the construction cost. (2) The algorithm of BIM models generation based on mileage can eliminate the jagged edges of discrete data, reduce the data redundancy and automatically construct the relationship between geometry models and roadbed compaction information. (3)The accuracy of roadbed compaction depends on the accuracy of GPS in construction vehicles and the grid size of BIM models. Generally, the smaller the gird size is, the higher the accuracy is, and the slower the computation speed is. So during construction, using 0.1 m gird size can guarantee both accuracy and speed. (4) The research results are of significance for railway construction management using by BIM technology.
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