Development of Expert System for Flexible Pavement Design in Sabah

Ladin, Mohd Azizul; Yi, L C; Darawati, A S; Bolong, N; Saad, I; Rusli, R; Yazid, M R Mat; Yahia, H A. M

doi:10.1088/1742-6596/2314/1/012004

Cited by 2 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, at the end the structural number (SN) can be estimated from Figure 7. ICGRE 126-8 Figure 6: Serviceability Loss Index [2], [3], [11] Figure 7 Obtaining the Structural Number Using the Nomograph [2], [4] After calculating the structural number of each layer using the nomograph, the thickness of each layer can be calculated using Equation 3 as follow:…”

Section: Methodsmentioning

confidence: 99%

“…These types of aggregates provide higher water permeability. Moreover, the base layer in the flexible pavement design has certain properties [2], [12]: ICGRE 126-5…”

Section: Base Layermentioning

confidence: 99%

“…The main purpose of pavement design is to design a pavement that can provide a road with a sufficient strength to sustain the pressure and the load that are coming from the vehicles (traffic load), for a long term with less defects as well. The road pavement is composed of superimposed multilayer with certain thicknesses and stiffness characteristics, in order to be able to sustain and transmitting the traffic load to the last layer which is the sub-grade layer without causing any failure to the roadway pavement [2]. Before 1920's, pavement design was depended on shear strength.…”

Section: Introductionmentioning

confidence: 99%

“…Since that time several amendments have been made in developing design methods of pavement structures and transportation agency around the world have started to use AASHTO design guides as design standards. Thus the estimation of pavement layers thickness depends on the standards instead of precious experience [2], [3].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of the Depth of Flexible Pavement Layers Using Artificial Neural Network

ElSahly¹,

AlQahtani²,

Abdelfatta³

2023

World Congress on Civil, Structural, and Environmental Engineering

View full text Add to dashboard Cite

Transportation infrastructure is a vital component in achieving economic growth and nations' development. Pavement structures constitute major component in the infrastructure. The purpose of the study is to provide a model that can estimate the thickness of the flexible pavement layers based on; the estimated number of 18000 lb single axle load application (W18), resilient modulus of the subgrade (Mr), modulus of elasticity of the three layers (EAC, Ebase, and Esubbase) using Artificial Neural Network (ANN). since that the developed standards by AASHTO 1993 of designing flexible pavement do not provide a direct and a simple way in estimating the thickness of the three layers of flexible pavement (asphalt concrete, base, and subbase layers). Although the American Association of State Highway and Transportation Official (AASHTO) 1993 empirical procedure is an old method and has some limitations, it has been used instead of the Mechanistic Empirical Pavement Design Method Guide (MEPDG). Since the it is simpler than the MEPDG, where the MEPDG requires a lot of data in which is not always available for different transportation agencies in most of the developing countries. The results of the ANN model show a decent prediction of the depths of flexible pavement layers, since the R2 value is 0.99 (close to 1.0) and the MSE value is 0.28 (close to zero), which indicates strong correlation, accuracy, and low inconsistency between the observed and predicted thickness of the flexible pavement layers.

show abstract

Section: Methodsmentioning

confidence: 99%

“…These types of aggregates provide higher water permeability. Moreover, the base layer in the flexible pavement design has certain properties [2], [12]: ICGRE 126-5…”

Section: Base Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of the Depth of Flexible Pavement Layers Using Artificial Neural Network

ElSahly¹,

AlQahtani²,

Abdelfatta³

2023

World Congress on Civil, Structural, and Environmental Engineering

View full text Add to dashboard Cite

show abstract

Parametric Studies for Flexible Pavements

Claudia

2023

Romanian Journal of Transport Infrastructure

View full text Add to dashboard Cite

The problem of dimensioning pavements requires knowledge of the assumptions and calculation schemes underlying the assessment of deformations of pavements under traffic pressure. The aim of this paper is to study the influence of both the values chosen for the dynamics module of asphalt courses in the pavement and the elastic composition of the pavement using three bituminous layers (wearing, binder, base), or two bituminous layers (wear, binder/base). In the first part of the paper a general description of pavements is presented. Roads are also described, starting from Roman roads to modern roads. The characteristics of flexible pavements are highlighted and the dimensioning methods and specialised software for modelling and calculating these structures are presented. In this case study, the variation of the defining parameters in the design of pavements was investigated by varying the dynamic elastic modulus of bituminous courses and by varying the composition of the pavement by removing the binder course and the base course.

show abstract

Development of Expert System for Flexible Pavement Design in Sabah

Cited by 2 publications

References 4 publications

Estimation of the Depth of Flexible Pavement Layers Using Artificial Neural Network

Estimation of the Depth of Flexible Pavement Layers Using Artificial Neural Network

Parametric Studies for Flexible Pavements

Contact Info

Product

Resources

About