UNIVERSIDADE FEDERAL DO CEARÁ CENTRO DE TECNOLOGIA PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE TRANSPORTES

Asphalt Surface Treatment (AST) is a coating with small thickness and low cost, composed by spreading bituminous binder and mineral aggregate and subsequent compaction. AST can be utilized as the surface course of roads and/or in services of maintenance and conservation of highways, representing approximately 63% of Ceará state’s paved road. Despite its high utilization, nowadays there is not a laboratory design process to verify the performance, and to determine the better aggregates and bituminous binder rates. In practice, the AST design process follows the recommended rates by technical standards or by the experience of engineers. This MSc Thesis developed a laboratory design method and investigated the performance of AST for different mineral aggregates of the Fortaleza Metropolitan Area, for the cases of Simple Surface Treatment (SST), Double Surface Treatment (DST) e Triple Surface Treatment (TST). The AST coatings were evaluated using the mass loss suffered by specimens submitted to the Wet Track Abrasion Test (WTAT) and plates of soil-gravel submitted to the laboratory traffic simulator. RR-2C emulsion and emulsion modified by polymer known as RR2C-E were used as asphalt binders. The mineral aggregates used were from two quarriy near Fortaleza. A third aggregate investigated was the steel slag, a waste of steel production. The results showed that the plaids presented satisfactory mass loss. Through the WTAT no improvement was noticed in the performance of the coatings that utilized RR2C-E. The DST samples, submitted to the laboratory traffic simulator, presented better results for the aggregate 1 (gneiss) using the RR2C-E and the steel slag with conventional emulsion. It was concluded that the method developed for laboratory design, combined with the use of the laboratory traffic simulator, can be a tool to determinate the best aggregates and bituminous binder rates, as well as to evaluate different aggregates and bituminous binders to use in AST coatings.

[1]  Neil N. Eldin,et al.  Determination of most economical scrapers fleet , 2005 .

[2]  Osama Moselhi,et al.  Optimization of Earthmoving Operations in Heavy Civil Engineering Projects , 2009 .

[3]  AlshibaniAdel,et al.  Fleet selection for earthmoving projects using optimization-based simulation , 2012 .

[4]  Daniel W. Halpin,et al.  Planning and analysis of construction operations , 1992 .

[5]  Joseph H. M. Tah,et al.  Genetic algorithms application and testing for equipment selection , 1999 .

[6]  Ali Touran Expert System for Compactor Selection , 1990 .

[7]  Bruno de Athayde Prata,et al.  A stochastic colored petri net model to allocate equipments for earth moving operations , 2008, J. Inf. Technol. Constr..

[8]  Mohamed Al-Hussein,et al.  A COMPUTER MODEL FOR SELECTING EQUIPMENT FOR EARTHMOVING OPERATIONS USING QUEUING THEORY , 2003 .

[9]  Tao-Ming Cheng,et al.  A Hybrid Optimization Mechanism Used to Generate Truck Fleet to Perform Earthmoving Operations , 2011 .

[10]  John A. Kuprenas,et al.  SSPE: A Tool for Scraper Selection and Production , 2000 .

[11]  Li-Chung Chao Assessing Earth‐Moving Operation Capacity by Neural Network‐Based Simulation with Physical Factors , 2001 .

[12]  Ahmad Jrade,et al.  A Decision-Support Model Utilizing a Linear Cost Optimization Approach for Heavy Equipment Selection , 2012 .

[13]  Robert L. Peurifoy,et al.  Construction planning, equipment and methods , 1956 .

[14]  Mohamed Marzouk,et al.  Fuzzy Clustering Model for Estimating Haulers’ Travel Time , 2004 .

[15]  Yong Bai,et al.  A Petri net simulation model for virtual construction of earthmoving operations , 2011 .

[16]  Sabah Alkass,et al.  EXPERT SYSTEM FOR EARTHMOVING EQUIPMENT SELECTION IN ROAD CONSTRUCTION , 1988 .

[17]  Serji N. Amirkhanian,et al.  Expert System for Equipment Selection for Earth-Moving Operations , 1992 .