Bacia de Pelotas em retrospectiva

Bueno, Gilmar Vital

doi:10.29327/537860.1-23

Cited by 1 publication

(4 citation statements)

References 223 publications

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“…The monitoring of sites implementation, in the different stages of pre-execution, execution and postexecution, as well as the complete characterization of the traffic, materials and construction methods employed in the two sites, are described in detail in the works of Bueno (2016Bueno ( , 2019; Bueno et al (2020) and Santos (2015). Table 1 summarizes the main characteristics of the two sites monitored during this research.…”

Section: Methodsmentioning

confidence: 99%

“…The backcalculation is characterized by the best fit between the basin measured in the field and the one calculated with the help of the computer program. The stiffness values were determined following the stopping criterion that proposes the reliability analysis of the values obtained through the relative error calculated for each point of the deflection basin, as suggested by Bueno (2016).…”

Section: Backcalculationmentioning

confidence: 99%

“…In the monitored sites 1 and 2, due to the existence of only one asphalt layer, all materials were considered with their interface conditions unbonded. To define the characteristic resilience modulus of the layers, the statistical analysis procedure described by PRO 011/79, of the former DNER, was applied, as detailed by Bueno (2016).…”

Section: Backcalculationmentioning

confidence: 99%

“…The linear elastic behavior of the structure is identified when the backcalculated modulus does not vary according to the basins determined after different loading levels. If the stiffness of the materials changes according to the loads, the response of one or more layers of the pavement is nonlinear (Bueno 2016).…”

Section: Introductionmentioning

confidence: 99%

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Identification of Elastic Response of Asphalt Pavements Layers Using Deflectometric Tests With Different Load Levels

Bueno

Pereira

Specht

et al. 2023

Anu. Inst. Geociênc.

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It is a unusual practice in national new pavement designs and rehabilitations to consider the nonlinear elastic behavior of the materials that constitute or will constitute the pavement layers. However, the linear elastic response is a simplification of the actual pavement layers behavior, since the materials used in the structure have stiffness dependent on the stress state (granular layers and subgrade) or on the temperature and time of load application (asphalt concrete). In view of this, this paper aims to study the elastic behavior of the pavement structures of two monitored sites in the city of Santa Maria/RS, through tests with FWD equipment, applying four different levels of loading on the full extension of these two sites. In these structures, the pavements showed a tendency to stiffening with increasing load acting at initial measuring distances (near the FWD load application point), which represent the elastic compression of all layers that make up the pavement. The measuring distances farther from the load application point, referring to the elastic compression of the subgrade, indicated, in most cases, a tendency to linear behavior of the load-deflection relationship in both sites. The backcalculated resilience modulus confirmed the impressions drawn from the load-deflection relationships, indicating the nonlinear elastic behavior of the granular layers (base and sub-base) of the analyzed sites, with resilience modulus directly proportional to the increase of the confining stress. The subgrade of the experimental sites exhibited varied behavior, and could be simplified by linear elasticity, without considerable loss. The same fact happened for the asphalt concrete material used in the pavement of site 1. For site 2, the backcalculated modulus indicated asphalt concrete stiffness dependent on the vertical surface stress increment at the center of the load plate.

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Section: Methodsmentioning

confidence: 99%

Section: Backcalculationmentioning

confidence: 99%

Section: Backcalculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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