Field Testing and Structural Evaluation of Selected Concrete Pavement Sections in Florida

2009 ◽  
pp. 404-404-36
Author(s):  
C-L Wu ◽  
M Tia
Keyword(s):  
Field Testing ◽  
Concrete Pavement ◽  
Structural Evaluation

Investigating the Effect of Prestress Force on Cross-Tensioned Concrete Pavement Vibration

2020 ◽  
Vol 2674 (8) ◽  
pp. 875-886
Author(s):  
Hongduo Zhao ◽  
Mengyuan Zeng ◽  
Hui Chen ◽  
Jianming Ling ◽  
Difei Wu
Keyword(s):  
Spectral Distribution ◽  
Field Testing ◽  
Dominant Frequency ◽  
Fe Analysis ◽  
Concrete Pavement ◽  
Vibration Characteristics ◽  
Dynamic Responses ◽  
Power Spectral ◽  
Force Monitoring ◽  
The Time Domain

Prestress force loss is crucial to the structural performance of cross-tensioned concrete pavement (CTCP). Severe loss in prestress force will reduce the constricting-cracking capacity of the CTCP, resulting in damage with load and temperature applied. Vibration-based methods are commonly used in prestress force monitoring, but few relative studies are reported into CTCP and the relationship between prestress force and CTCP vibration is still unclear. The purpose of this paper is to investigate the effect of prestress force on CTCP vibration. The vibration characteristics of CTCP subjected to different prestress forces were studied through field testing and finite element (FE) analysis. Impulse load was applied as excitation at the anchorage zone and dynamic responses were measured in the time domain. A signal processing method was employed to obtain short-time power spectral from original vibration signals, which was utilized to extract vibration characteristics in time and frequency. As shown in both the field testing and the FE analysis, the prestress force has a more significant effect on frequency spectral distribution, rather than the dominant frequency. Integrated frequency is proved to be a reliable index for describing frequency spectral distribution and has a good correlation with prestress force, which suggests it can be used to reflect the change in prestress force. Overall, these findings indicate that vibration testing has potential in prestress force monitoring in CTCP, though the practicality of this method requires further demonstration.

scholarly journals CONCRETE PAVEMENT STRUCTURAL EVALUATION USING FWD DEFLECTION

2001 ◽  
Vol 6 ◽  
pp. 147-154
Author(s):  
Hiroji KOSEKI ◽  
Boming TANG ◽  
Teruhiko MARUYAMA
Keyword(s):  
Concrete Pavement ◽  
Structural Evaluation

Spalling in Continuously Reinforced Concrete Pavement in Texas

2020 ◽  
Vol 2674 (11) ◽  
pp. 731-740
Author(s):  
Pangil Choi ◽  
Lochana Poudyal ◽  
Fouzieh Rouzmehr ◽  
Moon Won
Keyword(s):  
Finite Element ◽  
Reinforced Concrete ◽  
Coefficient Of Thermal Expansion ◽  
Field Testing ◽  
Concrete Pavement ◽  
Materials Testing ◽  
Finite Element Program ◽  
Texas Department ◽  
Conducting Materials ◽  
Element Program

The performance of continuously reinforced concrete pavement (CRCP) in Texas has been quite satisfactory, primarily thanks to the continuous improvements in design and construction. However, severe spalling has been a major problem, and the Texas Department of Transportation (TxDOT) has sponsored several research projects since 1985 to identify solutions for this serious problem. Even though the research efforts were successful in identifying spalling mechanisms, developing a policy that TxDOT could easily implement has been a challenge. To develop a more practical solution to this problem, TxDOT initiated a research study, and the research efforts consisting of identifying CRCP projects with severe and no spalling, obtaining and conducting materials testing on concrete cores from those projects, analyzing the testing data, and performing theoretical analyses to validate the testing results. Among the material properties evaluated, the coefficient of thermal expansion (CTE) of concrete proved to have the best correlation with spalling. Detailed analyses of mechanistic behavior of concrete conducted with an object-oriented finite element program (OOF2) and commercial finite element program verified the reasonableness of the field-testing results. All concrete cores from CRCP with severe spalling had a CTE larger than 5.5 microstrains/°F, whereas no spalling was observed in concrete with a CTE less than that value. Based on this finding, TxDOT now requires the use of coarse aggregate that will produce concrete with a CTE of less than 5.5 microstrains/°F for CRCP construction. It is expected that this implementation will reduce the spalling in CRCP substantially.

scholarly journals CONCRETE PAVEMENT STRUCTURAL EVALUATION BASED ON FWD DEFLECTION

1998 ◽  
Vol 3 ◽  
pp. 85-92
Author(s):  
Hiroji KOSEKI ◽  
Boming TANG ◽  
Teruhiko MARUYAMA
Keyword(s):  
Concrete Pavement ◽  
Structural Evaluation

scholarly journals STUDY ON STRUCTURAL EVALUATION OF CONCRETE PAVEMENT USING FWD DATA

2003 ◽  
Vol 8 ◽  
pp. 163-172
Author(s):  
Yoshitaka MURAKAMI ◽  
Yasushi TAKEUCHI ◽  
Masashi KOYANAGAWA ◽  
Tsuneo MAKI ◽  
Satoshi TANIGUCHI
Keyword(s):  
Concrete Pavement ◽  
Structural Evaluation

scholarly journals Recognition of the Typical Distress in Concrete Pavement Based on GPR and 1D-CNN

2021 ◽  
Vol 13 (12) ◽  
pp. 2375
Author(s):  
Juncai Xu ◽  
Jingkui Zhang ◽  
Weigang Sun
Keyword(s):  
Field Testing ◽  
Concrete Pavement ◽  
Training Dataset ◽  
Practical Applications ◽  
Pavement Distress ◽  
Testing Dataset ◽  
Signal Features ◽  
Actual Field ◽  
Deep Learning Network ◽  
Ground Penetrating

Ground-penetrating radar (GPR) signal recognition depends much on manual feature extraction. However, the complexity of radar detection signals leads to conventional intelligent algorithms lacking sufficient flexibility in concrete pavement detection. Focused on these problems, we proposed an adaptive one-dimensional convolution neural network (1D-CNN) algorithm for interpreting GPR data. Firstly, the training dataset and testing dataset were constructed from the detection signals on pavement samples of different types of distress; secondly, the raw signals are were directly inputted into the 1D-CNN model, and the raw signal features of the radar wave are extracted using the adaptive deep learning network; finally, the output used the Soft-Max classifier to provide the classification result of the concrete pavement distress. Through simulation experiments and actual field testing, the results show that the proposed method has high accuracy and excellent generalization performance compared to the conventional method. It also has practical applications.

scholarly journals Estimation of Joint and Interface Parameters for the Finite Element Analysis of Jointed Concrete Pavement Using Structural Evaluation Results

2015 ◽  
Vol 16 (2) ◽  
pp. 21-38
Author(s):  
Swati Roy Maitra ◽  
K. S. Reddy ◽  
L. S. Ramachandra
Keyword(s):  
Finite Element ◽  
Concrete Slab ◽  
Concrete Pavement ◽  
Interface Condition ◽  
Accurate Estimation ◽  
Fe Model ◽  
Element Analysis ◽  
Structural Evaluation ◽  
Jointed Concrete Pavement ◽  
Joint Parameters

Abstract In the analysis of jointed concrete pavement, it is necessary to appropriately model certain aspects of the pavement for accurate estimation of its structural responses. These include load transfer at joints (doweled and aggregate interlocked) and interface condition between slab and foundation. This paper presents a backcalculation method for estimating the joint parameters, both transverse and longitudinal, and the interface parameter along with the pavement layer moduli by using the results of structural evaluation of an in-service concrete pavement. The details of the structural evaluation using Falling Weight Deflectometer (FWD) and the two-stage backcalculation procedure using a three-dimensional finite element (FE) model for jointed concrete pavement are discussed. Modulus of dowel support and modulus of interlocking joints are the transverse and longitudinal joint parameters respectively and the coefficient of friction between concrete slab and foundation is the interface parameter considered for the analysis. These parameters are the useful inputs in modeling jointed concrete pavement using finite element method.

Laboratory Evaluation of Sound Absorption Characteristics of Pervious Concrete Pavement Materials

2017 ◽  
Vol 2629 (1) ◽  
pp. 91-103 ◽  
Author(s):  
Longjia Chu ◽  
Tien F. Fwa ◽  
Kiang H. Tan
Keyword(s):  
Sound Absorption ◽  
Field Testing ◽  
Concrete Pavement ◽  
Pervious Concrete ◽  
Practical Significance ◽  
Laboratory Evaluation ◽  
Portland Cement Concrete ◽  
Frequency Range ◽  
Pavement Materials ◽  
Absorption Characteristics

This paper describes a laboratory study on the sound absorption characteristics of clogged and unclogged pervious concrete (PC) pavement materials compared with those of porous asphalt (PA) mixtures and those of conventional dense-graded asphalt and portland cement concrete pavement materials. Examined in this study were the effects of the mixtures’ initial porosity on their sound absorption characteristics and how these characteristics were affected by subsequent clogging of the mixtures. Four porosity levels of PC and PA were studied: 10%, 15%, 20%, and 25%. The mixtures with 20% porosity were tested for the effects of clogging. The test results showed that the shapes of sound absorption spectra of PC and PA materials were similar displayed high sound absorption values within the frequency range of 250 to 1,000 Hz. However, for all four porosity levels studied, the PC materials produced about 0.1 or 20% higher sound absorption coefficient values throughout the entire measured frequency range from 100 to 2,500 Hz. The same order of magnitude of differences in the sound absorption values between PC and PA was also observed in their clogged states. The finding that PC exhibits a better sound absorption capability than PA is of practical significance. The results of this study also demonstrate that laboratory testing of sound absorption can be employed to provide a useful indicative assessment of the noise reduction properties of porous pavement materials without the need for full-scale field testing.

scholarly journals STRUCTURAL EVALUATION OF TRANSVERSE JOINT OF 30 YEARS CONCRETE PAVEMENT ON EXPRESSWAY WITH FWD BACKCALCULATION

2020 ◽  
Vol 76 (1) ◽  
pp. 1-11
Author(s):  
Tatsuo NISHIZAWA ◽  
Kenji TAKAI ◽  
Naofumi NORO ◽  
Nobuhiro KURATO ◽  
Yasuhiro NAKAMURA
Keyword(s):  
Concrete Pavement ◽  
Structural Evaluation ◽  
Transverse Joint
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