Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10322983 | Expert Systems with Applications | 2011 | 8 Pages |
Abstract
⺠The authors analyzed common bridge construction defects and classifed them into appropriate groups. ⺠A constraint-based clustering method and affinity diagram (KJ method) are proposed. This method simultaneously treats mixed data types and incorporate user-specified constraints. ⺠The results revealed five major defect classifications: safety and environment, construction site defects, supervision/control process, construction quality documents, and others. ⺠Among the five groups, construction site defects such as backfill, structure ranks the highest, approximately 33%. The construction quality document ranks second at approximately 29%. Each unit-in-charge may refer to the results to prevent recurrences.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ying-Mei Cheng, Sou-Sen Leu,