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| Tekkaya, A. Erman |
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| Förster, Peter |
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| Mudimu, George T. |
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| Shibata, Lillian Marie |
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| Talabbeydokhti, Nasser |
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| Laffite, Ernesto Dante Rodriguez |
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| Schöpke, Benito |
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| Gobis, Anna |
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| Alfares, Hesham K. |
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| Münzel, Thomas |
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| Joy, Gemini Velleringatt |
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| Oubahman, Laila |
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| Filali, Youssef |
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| Philippi, Paula |
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| George, Alinda |
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| Lucia, Caterina De |
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| Avril, Ludovic |
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| Belachew, Zigyalew Gashaw |
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| Kassens-Noor, Eva | Darmstadt |
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| Cho, Seongchul |
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| Tonne, Cathryn |
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| Hosseinlou, Farhad |
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| Ganvit, Harsh |
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| Schmitt, Konrad Erich Kork |
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| Grimm, Daniel |
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Maji, Avijit
in Cooperation with on an Cooperation-Score of 37%
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Publications (17/17 displayed)
- 2023Optimizing Points of Intersection for Highway and Railway Alignment—Using Path Planner Method and Ant Algorithm-Based Approachcitations
- 2023Decision Tree Analyses of Safety and Comfort Perceptions for Public Transportation in Kalyan-Dombivli Region of Maharashtra
- 2023A Review of Key Socio-economic Factors Affecting High-Speed Rail Station Location Selectioncitations
- 2022Speed-Based Safety Evaluation of Horizontal Curves in Rural Highwayscitations
- 2022Analysis of Drivers’ Speed Behavior Along Horizontal Curves of Two-Lane Rural Highways Using Driving Simulatorcitations
- 2022A Global Perspective of Railway Security
- 2022BPNN (ANN) Based Operating Speed Models for Horizontal Curves Using Naturalistic Driving Data
- 2022Calibration and Validation of VISSIM Parameters in Mixed Traffic
- 2020Risk Assessment of Horizontal Curves Based on Lateral Acceleration Index: A Driving Simulator-Based Studycitations
- 2019Effect of Horizontal Curve Geometry on the Maximum Speed Reduction: A Driving Simulator-Based Studycitations
- 2019Multivariate Analysis on Dynamic Car-Following Data of Non-lane-Based Traffic Environmentscitations
- 2019Optimization of high-speed railway station location selection based on accessibility and environmental impact
- 2019Operating speed prediction model as a tool for consistency based geometric design of four-lane divided highwayscitations
- 2018Speed prediction models for car and sports utility vehicle at locations along four-lane median divided horizontal curvescitations
- 2016Vehicle Speed Characteristics and Alignment Design Consistency for Mountainous Roadscitations
- 2016Developing probabilistic approach for asphaltic overlay design by considering variability of input parameterscitations
- 2015Performance-based intersection layout under a flyover for heterogeneous trafficcitations
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document
Developing probabilistic approach for asphaltic overlay design by considering variability of input parameters
Abstract
The asphaltic overlay design process considers various input parameters. These parameters are probabilistic in nature, but the current design process adopts deterministic values. This study proposes a comprehensive probabilistic approach for asphaltic overlay design to accommodate the variations in pavement layer thicknesses, pavement layer moduli, vehicle damage factor (VDF), lane distribution factor (LDF) and vehicle growth rate ( r ). An analytical method, first order second moment (FOSM), is used in developing the proposed design approach. A design example based on real world falling weight deflectometer (FWD) data of a 30 km long highway stretch is worked out to illustrate the proposed design approach. The results indicate that the current deterministic approach estimates an overlay thickness with approximately 95% reliability. Detail analysis of results from the proposed probabilistic approach denotes that choosing marginally lower design reliability could significantly reduce the overlay thickness. A sensitivity analysis of pavement layer moduli indicated that the asphaltic overlay thickness is sensitive to resilient modulus of base layer for fatigue and subgrade layer for rutting. The probability based design approach can accommodate variability of field material properties and construction practices in the asphaltic overlay design process.
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