Finite Element Analysis for Rutting Prediction of Asphalt Concrete Pavement under Moving Wheel Load

Wang, Y.; Lü, Yuanyuan; Si, C. D.; Sun, Tao

doi:10.2507/ijsimm16(2)4.374

Cited by 17 publications

(4 citation statements)

References 18 publications

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“…Moreover, it was interesting to investigate the geogrid deformation at different time steps (Figure 13); as mentioned, the geogrid, modelled as a linear elastic material, was completely incorporated in the AC layer; hence, when the load was zero, it was clear that the geosynthetic had a small vertical deformation because it was affected by the vertical displacement of the upper AC. The proposed simulation using the creep model for asphalt layers and Drucker-Prager (D-P) model for the sub-base and subgrade layers to predict stresses and vertical displacements and deformations in the pavement structures can lead to results which are comparable with the results obtained from previous numerical simulations of others' research [43][44][45].…”

Section: Resultssupporting

confidence: 60%

A 3D-FE Model for the Rutting Prediction in Geogrid Reinforced Flexible Pavements

Leonardi

Suraci

2022

Sustainability

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Permanent deformation (rutting) is an important disturbing failure on flexible road pavements. This phenomenon appears on the flexible pavement as longitudinal depressions, and it is a consequence of the degradation of materials under high traffic loading based on consolidation/densification, surface wear, plastic/shear flow, and mechanical deformation. Hence, the rutting phenomenon depends on the accumulation of permanent deformations on pavement surfaces subjected to repeated wheel loads. In recent years, several studies have confirmed that the service life of asphalt pavements can be increased by using geosynthetics between or within layers because of the improved mechanical properties. The aim of this paper is to present the results of the 3D-finite element (FE) simulations and the development of the rutting phenomenon in a traditional flexible pavement and a reinforced one, both subjected to a cyclic load. Through Abaqus/CAE software, a road section reinforced by a geogrid was analyzed and compared with a traditional road section to investigate the advantages given by the geosynthetic completely embedded at two-thirds of the asphalt concrete layer (AC) in terms of permanent deformations. The results show the capability of the proposed FE study, that uses the plasticity model of Drucker-Prager for unbound materials combined with the simple creep law to model HMA layers to predict the permanent deformation distribution.

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Section: Resultssupporting

confidence: 60%

A 3D-FE Model for the Rutting Prediction in Geogrid Reinforced Flexible Pavements

Leonardi

Suraci

2022

Sustainability

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“…The solution to a complicated problem is obtained by dividing the region of interest into small regions (finite elements) and approximating the solution over each sub-region by a simple function [16]. This method has become popular and it represents a powerful analytical tool for studying different engineering problems [17,18]. The PROMETHEE method combined with Taguchi method is carried out according to the input criteria provided by decision-maker and simulation results,…”

Section: Proposed Methods For Product Design Selectionmentioning

confidence: 99%

Two-stage product design selection by using PROMETHEE and Taguchi method: A case study

Crnjac¹,

Aljinović²,

Gjeldum³

et al. 2019

Adv produc engineer manag

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The main goal of this paper was to introduce the methodology for product design selection. The proposed methodology combines two classical methods to find the most appropriate design for the new product, through a reduced number of alternatives (product variants) and experiments for the selection process. In the first stage, the multi-criteria decision-making method, PRO-METHEE was used for selecting the most suitable design, according to the chosen preferences and criteria. In the second stage, the Taguchi method was used in order to define the most appropriate parameters for selected suitable design. The fundamental scientific contribution of this paper refers to a benefit introduced by combining these methods. This benefit is related to the reduction of product development time which has a significant effect on manufacturing process time due to the high market pressure. The proposed methodology was applied to find the appropriate table design for CNC milling machine located in the Lean Learning factory. However, this is just one case study to present the proposed methodology which can be applied for other optimization of other product designs. Before applying the proposed methodology for this case study, the methodology is validated on a simple example.

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“…Copula theory was used to fit the conditional distribution of prediction error of multiple wind farms, so as to compensate the prediction error of current wind power load according to the prediction error of adjacent wind farms [15]. e simulation method is also the main method for making predictions [16,17].…”

Section: Related Workmentioning

confidence: 99%

Short-Term Electric Load Prediction and Early Warning in Industrial Parks Based on Neural Network

Wang¹,

Yang²,

Chen³

2021

Discrete Dynamics in Nature and Society

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This paper proposes a load forecasting method based on LSTM model, fully explores the regularity of historical load data of industrial park enterprises, inputs the data features into LSTM units for feature extraction, and applies the attention-based model for load forecasting. The experiments show that the accuracy of our prediction model and early warning model is better than that of the baseline and can reach the standard of application in practice; this model can also be used for early warning of local sudden large loads and identification of enterprise power demand. Therefore, the validity of the method proposed in this paper is verified using the historical dataset of industrial parks, and relevant technical products and business models are formed to provide value-added services to users by combining existing practical cases for the specific scenario of industrial parks.

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Finite Element Analysis for Rutting Prediction of Asphalt Concrete Pavement under Moving Wheel Load

Cited by 17 publications

References 18 publications

A 3D-FE Model for the Rutting Prediction in Geogrid Reinforced Flexible Pavements

A 3D-FE Model for the Rutting Prediction in Geogrid Reinforced Flexible Pavements

Two-stage product design selection by using PROMETHEE and Taguchi method: A case study

Short-Term Electric Load Prediction and Early Warning in Industrial Parks Based on Neural Network

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