Investigation of a pavement structural behaviour during spring thaw using falling weight deflectometer

Salour, Farhad; Erlingsson, Sigurður

doi:10.1080/14680629.2012.754600

Cited by 54 publications

(30 citation statements)

References 10 publications

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“…However, this moisture content will change to a natural equilibrium state that is greatly dependent on environmental conditions, material properties and the groundwater table level. In a study that was carried out by Zapata et al (2009) Figure 1 is based on in situ measurements from two moisture rods, each consisting of four moisture probes (Salour and Erlingsson, 2013b). The moisture probes were installed at four different depths, with three of them located in the subgrade.…”

Section: Moisture In Pavement Unbound Materialsmentioning

confidence: 99%

Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

2014

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Resilient modulus of unbound materials is an important parameter in the mechanistic design of pavements. Although unbound layers are frequently in a partially saturated state, a total stress approach is conventionally used in modelling the material behaviour and therefore pore pressure effects are not considered. In fine-grained unbound materials, the saturation state can affect their mechanical behaviour due to pore pressure effects. In this study a modified test procedure and a predictive resilient modulus model that takes into account the subgrade soil matric suction as a stress state variable is presented. Two different silty sand subgrade materials were tested in unsaturated conditions using series of repeated load triaxial tests under controlled pore suction conditions to study its influence on the resilient modulus. The test data were further used to obtain the resilient modulus model regression parameters that accounts for moisture content variations through the matric suction parameter. Generally, the prediction model could effectively capture the resilient modulus behaviour of the subgrades with respect to changes in the normal stress state and the matric suction. Given the completeness of this method, this prediction model is recommended as an improved approach in capturing the moisture content effects on the material stiffness properties.

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Section: Moisture In Pavement Unbound Materialsmentioning

confidence: 99%

Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

2014

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“…Furthermore, the grading may change due to crushing of the particles. Results from a field study by Salour and Erlingsson (2013) using an FWD showed that M R decreased with an increase in moisture. Thus, this reflected similar results obtained from the RD tests.…”

Section: Discussionmentioning

confidence: 91%

“…The M R of UGMs has mostly been reported to decrease significantly with the increase in w (Lekarp et al 2000, Li and Baus 2005, Ekblad 2007, Uthus 2007, Erlingsson 2010, Bilodeau and Doré 2012, Saevarsdottir and Erlingsson 2013, Salour and Erlingsson 2013. The effect of moisture on the stiffness of the sub-base UGM layer of a pavement section, back-calculated using falling weight deflectometer (FWD) data, is presented in Figure 2.…”

Section: Ms Rahman and S Erlingssonmentioning

confidence: 97%

Moisture influence on the resilient deformation behaviour of unbound granular materials

Rahman

Erlingsson

2015

International Journal of Pavement Engineering

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The influence of moisture on the resilient deformation properties of unbound granular materials was investigated based on repeated load triaxial tests. Results showed that the resilient modulus (M R ) decreased with increasing moisture for a relatively low number of load cycles (N) where the deformation behaviour was mostly resilient with a negligible amount of associated accumulated permanent deformation (PD). Modelling attempts on this behaviour were quite satisfactory. Furthermore, the M R showed an increasing trend with increasing moisture, up to the optimum, when the N was relatively large with a significant amount of accumulated PD. Above the optimum, the M R generally decreased. Further investigation suggested that moisture aided the post-compaction (PC) and possible particle rearrangement that resulted in the increased PD and increased M R . The existing model did not work in this case indicating that the effect of PC on M R should be considered in modelling.

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“…This study indicated that about 60%-75% of the permanent deformation in the tested pavement structures occurred during the spring thaw. Salour and Erlingsson [6] back-calculated deflection data of falling weight deflectometer of the test section and pointed out that bearing capacity of the subgrade and granular layer reduced by 63% and 48% in the spring thaw compared with the recovered summer values. This confirms that frost is an essential factor influencing pavement performance.…”

Section: Introductionmentioning

confidence: 99%

Design of Frost Resistant Pavement Structure Based on Road Weather Stations (RWSs) Data

et al. 2016

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Abstract:Frost is a decisive factor influencing pavement performance in cold countries. In the EU, millions of euros are spent annually on winter maintenance. About one-third of the maintenance budget is allocated to rehabilitation due to the negative impact of frost. The negative effect of frost is restricted by using non-frost-susceptible materials within the frost zone and regulating water accumulation. However, experience shows that the thickness of constructed pavement structure is often inadequate and that frost penetrates into the subgrade of frost-susceptible materials. The aim of this paper is to introduce the thickness calculation approach of the frost resistant pavement structure using road weather station (RWS) data. The subgrade susceptibility to frost and the number of equivalent single axle loads (ESALs) are considered as factors too. The calculated thickness of the frost resistant pavement structure is corrected according to the specific local conditions. After performing a statistical analysis of 2012-2014 data pertaining to 26 RWSs, Lithuania was divided into four regions according to the maximum frost depths, where the maximum values depending on RWS location varied from 110.4 cm to 179.1 cm.

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Investigation of a pavement structural behaviour during spring thaw using falling weight deflectometer

Cited by 54 publications

References 10 publications

Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

Modelling resilient modulus seasonal variation of silty sand subgrade soils with matric suction control

Moisture influence on the resilient deformation behaviour of unbound granular materials

Design of Frost Resistant Pavement Structure Based on Road Weather Stations (RWSs) Data

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