Evaluation of cracking in asphalt pavement with stabilized base course based on statistical pattern recognition

Selection of optimal treatment strategy for a cracked asphalt pavement requires efficient evaluation of cracking. Pavement cracking severity was usually evaluated just by crack width in the past. In this paper, a novel method for extracting both crack type and crack width information in asphalt pavement with chemically stabilised base course from falling weight deflectometer (FWD) test data based on k-nearest neighbour (k-NN) pattern recognition was put forward. FWD field tests and core drilling tests were conducted at cracks on four typical expressways and a database with 215 deflection basins was established. Three feature sets were selected or extracted from each deflection basin as inputs. And, cracks were categorised into six classes based on crack type and crack width as target outputs. Results indicated that most cracks with high width level were thermal cracks and it was of great importance to consider both crack type and width in cracking evaluation in asphalt pavement with chemically stabilised base. Considering the classification accuracy and the convenience of test, crack was advised to be located between sensor S₃₀₀ and sensor S₆₀₀ in FWD field test. Deflection ratio feature set was recommended as inputs of the k-NN classifier.

• Record URL:
  https://doi.org/10.1080/10298436.2017.1299528
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/44544515
• Supplemental Notes:
  • © 2017 Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
• Authors:
  • Yang, Qun
  • Deng, Yingjie
• Publication Date: 2019-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 417-424
• Serial:
  • International Journal of Pavement Engineering
  • Volume: 20
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1029-8436
  • Serial URL: http://www.tandf.co.uk/journals/titles/10298436.html

Subject/Index Terms

• TRT Terms: Asphalt pavements; Base course (Pavements); Falling weight deflectometers; Pattern recognition systems; Pavement cracking
• Uncontrolled Terms: Chemical stabilization; Crack type; Crack width; Deflection basins; K-nearest neighbor algorithm
• Subject Areas: Highways; Pavements;

Filing Info

• Accession Number: 01698562
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 5 2019 4:03PM