análise do impacto do período de projeto de pavimentos no custo global de obras rodoviárias

Clicks: 18
ID: 232882
2016
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Most projects for the construction of big highways in Brazil are based on conventional design methods. It is also common practice in Brazil to adopt a period of ten years to account for the traffic load when designing flexible pavements. However, some highway infrastructure projects are rather expensive and the costs related to earthworks or special structures, such as bridges and drainage, can significantly overshadow the cost of the pavement construction. Therefore, it is important to evaluate the economic impact of considering longer design periods, still in the stage of study of viability of a big highway project. The objective of this paper is to show the relation between overall cost and design reliability with the increase of design period. Five big highways infrastructure projects under construction by the Brazilian National Department of Transport Infrastructure (DNIT), in the context of the Program for Growth Acceleration (PAC), are investigated as case studies. The cases include two highways with rigid pavement and three others with flexible pavements. The results show clearly that a significant increase in design period does not impact significantly the overall costs. In all cases, doubling the period of design would increase the of overall cost of the contract by less than 4%. Perhaps most importantly, the results of mechanist analyses show that the probability of failure of the pavement due to fatigue cracking of the concrete layer decreases when longer design periods are adopted. In order works, the adoption of longer design periods not only has little impact on the overall costs of big highway construction projects, but also lead to pavements with higher design reliability.
Reference Key
mello2016transportesanlise Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Luiz Guilherme Rodrigues Mello;Márcio Muniz Farias;Ernesto Simões Preussler;Rodrigo Preussler
Journal nature machine intelligence
Year 2016
DOI
10.14295/transportes.v24i4.1056
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.