A new approach to the design of rigid pavement: single-axle loading

Abstract

The purpose of a rigid pavement design is to determine the thickness of the layers and the quality of the materials used in the pavement. The stresses occurring in a pavement should not exceed the modulus of rupture of the concrete. In this study, the answer to the most reliable and cost-effective solution for a pavement design for a single axle and different temperature gradients was investigated. 3D finite element analysis (FEA) using the ABAQUS package program was carried out with the Taguchi method. A factor, cost to stress difference ratio (Cost/(σ cr − σ max )), was developed to find both the most reliable and the cost-effective solution. The maximum principal stress was calculated by FEA for each of the alternative pavement design. Among the many alternative pavement designs, the solution that gives the minimum cost to stress difference ratio is selected as both the most reliable and cost-effective design.

Investigating the usability of Kevlar and steel fibers as a hybrid in concrete pavements

“…Furthermore, in the case of inner interaction among the factors, the optimum conditions obtained according to the conventional experimental design's not being in actual optimum conditions. Taguchi method as one of the experimental design techniques has successfully been conducted for the optimization in systematic designs [28,[31][32][33].…”

Atık Kevların Beton Yol Kaplamalarında Kullanılabilirliğinin Araştırılması

“…Aynı zamanda, faktörler arasında iç etkileşimin olması durumunda, geleneksel deney tasarımına göre bulunan optimum şartlar, gerçek optimum şartlar olmayabilir. Deney tasarım tekniklerinden biri olan Taguchi Metodu sistematik dizaynlarda optimizasyon için başarılı bir şekilde uygulanmaktadır (Bayrak & Hınıslıoğlu, 2017;Hınıslıoğlu & Bayrak, 2004Joshaghani, Ramezanianpour, Ataei, & Golroo, 2015 (Roy, 1990;Taguchi).…”

Optimization of the Some Mechanical Properties of Concrete Pavements Produced with SIFCON

“…The fractional factorial experiments using an orthogonal array were investigated and developed by Taguchi. The linear graph developed by Taguchi is useful to scientists and engineers to design and analyze the experimental data without having the basic knowledge of factorial design (Taguchi, 1962;Roy, 1990;Hinislioglu and Bayrak, 2004;Bayrak and Hinislioglu, 2017).…”

“…where μ is the overall mean of the performance value at optimum conditions, F is the value of the F table, Ne is the effective number of repetition in confirmation analysis Bayrak, 2004, 2005;Bayrak and Hinislioglu, 2017).…”