Abstract
Identifying the causes of asphalt pavement distress is crucial for selecting adequate management strategies and rehabilitation treatments. However, it is difficult for engineers to determine the causes associated to the specific distress based on simple field observation. This paper presents a multi-scale approach for diagnosing the causes of asphalt pavement cracking. This deleterious phenomenon is addressed based on a number of multiscale characteristics, including crack shape, extent, location, patterns, and width. Then, several causal factors linked to the cracks formation are categorized. Finally, a diagnosis model is developed by establishing the relationship between the multi-scale crack characteristics and the causal factors. Four real examples illustrate the use of the proposed pavement crack diagnosis model. The proposed model has the potential of being expanded into a deterministicstochastic model when a wider data base (knowledge base data set) is established.
| Original language | English |
|---|---|
| Title of host publication | Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016 |
| Editors | Sandra Erkens, Xueyan Liu, Kumar Anupam, Yiqiu Tan |
| Publisher | CRC Press |
| Pages | 3-12 |
| Number of pages | 10 |
| ISBN (Print) | 9781315643274 |
| Publication status | Published - 2016 |
| MoE publication type | A4 Conference publication |
| Event | Chinese-European Workshop on Functional Pavement Design - Delft, Netherlands Duration: 29 Jun 2016 → 1 Jul 2016 Conference number: 4 |
Publication series
| Name | Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016 |
|---|
Workshop
| Workshop | Chinese-European Workshop on Functional Pavement Design |
|---|---|
| Abbreviated title | CEW |
| Country/Territory | Netherlands |
| City | Delft |
| Period | 29/06/2016 → 01/07/2016 |
Funding
The authors will like to thank Shaanxi Road Administration Bureau (SRAB) for its support. The authors will also like to thank Mr. Sen Shu, and many other SRAB engineers for their technical assistance during the data collection process. We will also like to thank Dr. Lian-zhu Wang of Shaanxi Expressway Testing & Measuring Limited Company for his assistance. The authors thank the China Postdoctoral Science Foundation (2014M562287) and National Natural Science Foundation of China (51408083, 51508064) for vigorously supporting this study.
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