A probabilistic approach to detect structural problems in flexible pavement sections at network level assessment-Reference-Cited by-同舟云学术

A probabilistic approach to detect structural problems in flexible pavement sections at network level assessment

Published:2020-10-09 Issue: Volume: Page:1-14
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Fuentes Luis¹^ORCID,Taborda Katherine¹,Hu Xiaodi²,Horak Emile³,Bai Tao²,Walubita Lubinda F.¹⁴

Affiliation:

1. Department of Civil & Environmental Engineering, Universidad del Norte (UniNorte), Barranquilla, Colombia

2. School of Civil Engineering and Architecture, Wuhan Institute of Technology (WIT), Wuhan, People’s Republic of China

3. Kubu Consultancy (Pty) Ltd and University of Pretoria, Pretoria, South Africa

4. Texas A&M Transportation Institute (TTI), The Texas A&M University System, College Station, TX, USA

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2020.1828586

Reference55 articles.

1. Travel Quality Assessment of Urban Roads Based on International Roughness Index: Case Study in Colombia

2. Mean profile depth analysis of field and laboratory traffic-loaded chip seal surface treatments

3. Alkasawneh, W., 2007. Backcalculation of pavement moduli using genetic algorithms. Ph.D. thesis, Department of Civil Engineering, University of Akron.

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