Preliminary calibration and validation of the Texas Mechanistic-Empirical flexible pavement design

被引:3
作者
Masad, Ahmad [1 ]
Alrashydah, Esra'a [2 ]
Papagiannakis, A. T. [2 ]
机构
[1] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA
[2] Univ Texas San Antonio, Dept Civil & Environm Engn, San Antonio, TX 78249 USA
关键词
Mechanistic design; calibration; rutting; cracking; bias; standard error; GUIDE; CALME;
D O I
10.1080/10298436.2021.1926458
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a concise approach for calibrating the damage models in the TxME, a mechanistic-empirical flexible pavement design model developed for Texas. The models calibrated are rutting, bottom-up fatigue cracking and transverse (thermal) cracking. Pavement performance observations from the Texas Department of Transportation (TxDOT) maintained Data Storage System (DSS) were used for this purpose. Prior to calibration, Analysis of Variance (ANOVA) was used to establish similar groups of sections in terms of structural, traffic and environmental conditions. For the rutting model, the layer calibration coefficients weighed plastic deformations linearly, hence it was possible to establish them by minimising the sum of the squared errors (SSE) between the estimated and observed surface (i.e. total) rutting using the generalised gradient method (GRG) through the MS (R) Excel solver. For the fatigue cracking model, calibration focused on the transfer function between the accumulated fatigue damage and the observed fatigue cracked area. Curve fitting was done using the bi-square robust algorithms in MATLAB (R). For the transverse cracking model, the exponent of the pavement life ratio p/m was established through curve-fitting on transverse cracking observations. In general, the calibration resulted in significant quality of fit improvements.
引用
收藏
页码:3879 / 3891
页数:13
相关论文
共 27 条
[1]  
AASHTO, 2010, Guide for the Local Calibration of the Mechanistic-Empirical Pavement Design Guide (AASHTO)
[2]  
[Anonymous], 2015, Mechanistic-Empirical Pavement Design Guide, A Manual of Practice, VSecond
[3]   A TRUST REGION ALGORITHM FOR NONLINEARLY CONSTRAINED OPTIMIZATION [J].
BYRD, RH ;
SCHNABEL, RB ;
SHULTZ, GA .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 1987, 24 (05) :1152-1170
[4]  
Ceylan H., 2013, 11401 INTRANS IOW ST
[5]  
Darter M.I., 2009, UT0911A DEP TRANSP R
[6]  
Darter M.I., 2014, FHWAAZ14606 DEP TRAN
[7]  
Hall K.D., 2011, TRANSP RES BOARD ANN
[8]   ROBUST REGRESSION USING ITERATIVELY RE-WEIGHTED LEAST-SQUARES [J].
HOLLAND, PW ;
WELSCH, RE .
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS, 1977, 6 (09) :813-827
[9]  
Hu S., 2014, 066222 TEX TRANSP I
[10]  
Hu S., 2012, 66221 TEX TRANSP I