Design of Low-Volume Pavements against Rutting

Dawson, Andrew; Kolisoja, Pauli; Vuorimies, Nuutti; Saarenketo, Timo

doi:10.3141/1989-19

Cited by 11 publications

(4 citation statements)

References 3 publications

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“…As this process is repeated, fine sediment makes its way to the surface of the road where it is readily available for sediment transport, thus increasing the supply. Pumping has been suggested as a traffic-induced erosion process in many studies (e.g., Reid 1981;Luce and Black 2001;Foltz and Truebe 2003;Ramos-Scharrón and Macdonald 2005;Dawson and Kolisoja 2006) and anecdotal evidence is abundant (Fig. 2B).…”

Section: Pumpingmentioning

confidence: 90%

“…Because of its relation to other factors and plentiful anecdotal evidence (Fig. 1B), crushing is one of the most cited traffic-induced erosion mechanisms in the literature (e.g., Reid and Dunne 1984;Foltz andTruebe 1995, 2003;Luce and Black 2001;Dawson and Kolisoja 2006;Dubé et al 2010;Toman and Skaugset 2011;Kemp, Leshchinsky and Boston 2016;Rhee, Fridley and Page-Dumroese 2018).…”

Section: Crushingmentioning

confidence: 99%

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How does traffic affect erosion of unpaved forest roads?

2023

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The relationship between traffic and forest road erosion has been studied for decades, and the answer to the question “what happens when traffic is present on these unpaved forest roads?” is simple: erosion increases. However, the answer to the question “why does it increase?” is complex and requires us to consider forest road erosion through an integrated lens. Fully understanding how traffic affects forest road erosion will allow us to control forest road erosion effectively. In this synthesis, we look at forest road erosion literature and focus the discussion on the interactions between traffic and erosion. Specifically, we explore four main hypotheses that have been proposed to explain how traffic affects erosion. These hypotheses are discussed in detail, including what data and information are required to evaluate them. In addition to the specific traffic-erosion interactions, we review important factors that interact with traffic to enhance erosion. Finally, we propose a framework that describes forest road erosion as a combination of all limiting factors. This framework can help guide future data collection needs, allow us to form a more holistic understanding of forest road erosion, and ultimately improve predictions of erosion from forest roads.

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Section: Pumpingmentioning

confidence: 90%

Section: Crushingmentioning

confidence: 99%

How does traffic affect erosion of unpaved forest roads?

2023

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“…Porous asphalt is composed of filler and a small quantity of sand (8). In particular the inert materials must be basalt based, then crushed with a polished stone value greater than 42% (UNI EN 1097-8 legislation) with a Los Angeles abrasion test score of less than 20% (UNI EN 1097-2 legislation).…”

Section: Literature Reviewmentioning

confidence: 99%

Indirect Skid Resistance Measurement for Porous Asphalt Pavement Management

Dell’Acqua

Luca

Lamberti

2011

Transportation Research Record

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This paper focuses on developing a method for road managers to assess the sideways-force coefficient (SFC) in porous asphalt with low-cost standard tests. SFC can be used as a component in road surface condition surveys and asset management decisions. A standard piece of equipment for determining SFC is the sideways-force coefficient routine investigation machine (SCRIM), which can be truck or trailer mounted. This equipment is often beyond the budget of most small, low-volume road agencies. An empirical model for the indirect estimation of SFC for porous road surfaces was developed as a result of this study. With handheld equipment—the portable skid resistance tester [to derive the British pendulum number (BPN)] and the sand patch method [height in sand (HS) test]—a correlation of these test results can be made, and a reasonable approximation to SFC with the use of the SCRIM method can be attained. BPN, the unit of measurement of the skid tester, is a representation of the microroughness of the wearing surface, and the sand patch method (HS test) results yield the macroroughness of the pavement. The study was conducted over 20-km segments of low-volume roadway in southern Italy. The initial results are promising, with a maximum percentage of error of less than 15.2%. Further study is needed to adapt the model to other road surface conditions.

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“…In the United States, the current pavement design method for the LVRs follows the American Association of State Highway and Transportation Officials (AASHTO) guideline (American Association of State Highway and Transportation Officials 1993). This design method usually leads to a minimal pavement thickness, which in turn makes the pavement vulnerable to surface distresses such as surface deflection and rutting (Dawson et al 2007;Worel and Clyne 2007). In fact, it is not difficult to find many existing LVRs deteriorated or even failed by these surface distresses in the early phase of their lives.…”

Section: Introductionmentioning

confidence: 99%

Study on Nonlinear Pavement Responses of Low Volume Roadways Subject to Multiple Wheel Loads / Netiesinės Kelio Dangos Priklausomybės Nuo Mažo Intensyvumo Kelių, Veikiamų Daugkartinėmis Ratų Apkrovomis, Tyrimas

Kim¹,

Lee

2011

Journal of Civil Engineering and Management

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This paper describes numerical analyses on low volume roads (LVRs) using a nonlinear three-dimensional (3D) finite element model (FEM). Various pavement scenarios are analyzed to investigate the effects of pavement layer thicknesses, traffic loads, and material properties on pavement responses, such as surface deflection and subgrade strain. Each scenario incorporates a different combination of wheel/axle configurations and pavement geomaterial properties to analyze the nonlinear behavior of thinly surfaced asphalt pavement. In this numerical study, nonlinear stress-dependent models are employed in the base and subgrade layers to properly characterize pavement geomaterial behavior. Finite element analysis results are then described in terms of the effects of the asphalt pavement thickness, wheel/axle configurations, and geomaterial properties on critical pavement responses. Conclusions are drawn by the comparison of the nonlinear pavement responses in the base and subgrade in association with the effects of multiple wheel/axle load interactions.

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Design of Low-Volume Pavements against Rutting

Cited by 11 publications

References 3 publications

How does traffic affect erosion of unpaved forest roads?

How does traffic affect erosion of unpaved forest roads?

Indirect Skid Resistance Measurement for Porous Asphalt Pavement Management

Study on Nonlinear Pavement Responses of Low Volume Roadways Subject to Multiple Wheel Loads / Netiesinės Kelio Dangos Priklausomybės Nuo Mažo Intensyvumo Kelių, Veikiamų Daugkartinėmis Ratų Apkrovomis, Tyrimas

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