단순회귀분석에 의한 배수성 아스팔트의 투수계수 산정모델 제안

Translated title of the contribution: Proposal for the Estimation of the Hydraulic Conductivity of Porous Asphalt Concrete Pavement using Regression Analysis

Research output: Contribution to journalArticlepeer-review

Abstract

PURPOSES : This study is to construct the regression models of drainage asphalt concrete specimens and to provide the appropriate coefficients of hydraulic conductivity prediction models. METHODS: In terms of easy calculation of the hydraulic conductivity from porosity of asphalt concrete pavement, the estimation model of hydraulic conductivity was proposed using regression analysis. 10 specimens of drainage asphalt concrete pavement were made for measurement of the hydraulic conductivity. Hydraulic conductivity model proposed in this study was calculated by empirical model based on porosity and the grain size. In this study, it shows the compared results from permeability measured test and empirical equation, and the suitability of proposed model, using regression analysis. RESULTS: As the result of the regression analysis, the hydraulic conductivity calculated from the proposal model was similar to that resulted from permeability measured test. Also result of RMSE (Root Mean Square Error) analysis, a proposed regression model is resulted in more accurate model. CONCLUSIONS: The proposed model can be used in case of estimating the hydraulic conductivity at drainage asphalt concrete pavements in fields.
Translated title of the contributionProposal for the Estimation of the Hydraulic Conductivity of Porous Asphalt Concrete Pavement using Regression Analysis
Original languageKorean
Pages (from-to)45-52
Number of pages8
Journal한국도로학회논문집
Volume15
Issue number3
DOIs
StatePublished - Jun 2013

Fingerprint

Dive into the research topics of 'Proposal for the Estimation of the Hydraulic Conductivity of Porous Asphalt Concrete Pavement using Regression Analysis'. Together they form a unique fingerprint.

Cite this