Investigation of aggregate moisture content variation and its impact on pavement performance of WMA

2020 ◽  
Vol 255 ◽  
pp. 119350
Author(s):  
Bin Yang ◽  
Huining Xu ◽  
Peiyan Zhou ◽  
Yiqiu Tan
TAPPI Journal ◽  
2013 ◽  
Vol 12 (1) ◽  
pp. 45-50 ◽  
Author(s):  
LAURENCE SCHIMLECK ◽  
KIM LOVE-MYERS ◽  
JOE SANDERS ◽  
HEATH RAYBON ◽  
RICHARD DANIELS ◽  
...  

Many forest products companies in the southeastern United States store large volumes of roundwood under wet storage. Log quality depends on maintaining a high and constant wood moisture content; however, limited knowledge exists regarding moisture variation within individual logs, and within wet decks as a whole, making it impossible to recommend appropriate water application strategies. To better understand moisture variation within a wet deck, time domain reflectometry (TDR) was used to monitor the moisture variation of 30 southern pine logs over an 11-week period for a wet deck at the International Paper McBean woodyard. Three 125 mm long TDR probes were inserted into each log (before the deck was built) at 3, 4.5, and 7.5 m from the butt. The position of each log within the stack was also recorded. Mixed-effects analysis of variance (ANOVA) was used to examine moisture variation over the study period. Moisture content varied within the log, while position within the stack was generally not significant. The performance of the TDR probes was consistent throughout the study, indicating that they would be suitable for long term (e.g., 12 months) monitoring.


2016 ◽  
Vol 125 ◽  
pp. 1205-1215 ◽  
Author(s):  
Catarina Silva ◽  
Jorge M. Branco ◽  
Andreas Ringhofer ◽  
Paulo B. Lourenço ◽  
Gerhard Schickhofer

1992 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
SJ Titus ◽  
PM Woodard ◽  
AF Johnson

The moisture content of live and dead foliage and roundwood on 30 lodgepole pine and 27 white spruce trees was determinedduring the summer of 1987. Sample trees were selectedrandomly throughout Alberta, Canada, without regard for weather. Five sub-samples were taken for each of the five roundwood diameter size classes (< 0.5cm,0.5 - 1 cm, 1.0- .0cm,3.0- 5.0cm, 5.0-7.0cm and 7.0-10.0 cm). Moisture content of live biomass was quite similar between species for the same fuel size class, regardless of when sampling occurred. Moisture content variation within trees was about half of the variation between trees for the same fuel size class. The coefficient of variation in moisture was much less for live material (generally < 0.3) than for dead biomass (always > 0.6). Average fuel moisture content for populations of lodgepole pine and white spruce trees may be estimated to within + 10% at the 68% probability level by sampling less than 20 trees and with only 3 fuel sub-samples per tree.


1999 ◽  
Vol 42 (2) ◽  
pp. 427-433 ◽  
Author(s):  
M. D. Montross ◽  
F. W. Bakker-Arkema ◽  
R. E. Hines

1982 ◽  
Vol 25 (4) ◽  
pp. 1127-1130 ◽  
Author(s):  
J. I. Wadsworth ◽  
J. Matthews ◽  
J. J. Spadaro

1990 ◽  
Vol 33 (2) ◽  
pp. 0541-0548 ◽  
Author(s):  
M. F. Kocher ◽  
T. J. Siebenmorgen ◽  
R.J.Norman ◽  
B.R.Wells

Holzforschung ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sohrab Rahimi ◽  
Stavros Avramidis ◽  
Ciprian Lazarescu

Abstract Kiln drying is admittedly a significant value-adding step in timber processing where the importance of predicting moisture within a dried batch cannot be overemphasized. This study predicts and characterizes the moisture variation in kiln-dried wood based on the initial and target moisture values using polynomial models. Four polynomial models are used to correlate initial and final moisture characteristics. First model is linear while the three others are nonlinear. The robustness of the three best models is analyzed and a closed formula is proposed to evaluate the final moisture coefficient of variation based on the target moisture and initial moisture coefficient of variation. Three models could successfully characterize the final moisture variation with the best one showing an R 2 > 96%. However, the first (linear) model is the most resilient and, thus recommended for estimating final moisture variation.


AMB Express ◽  
2012 ◽  
Vol 2 (1) ◽  
pp. 69 ◽  
Author(s):  
Daniela Tudor ◽  
Sara C Robinson ◽  
Paul A Cooper

Author(s):  
Habibullah Bhuyan ◽  
Alexander Scheuermann ◽  
Didier Bodin ◽  
Rolf Becker

Soil moisture content and dry density of unbound granular pavement materials are important properties for compaction control that influence pavement performance under cyclic loading. Under these loading conditions, increasing moisture content can accelerate significant changes in density. Time domain reflectometry (TDR) is a method for measuring the moisture content and density of soils with rod probe sensors. This paper introduces new calibration functions for TDR measurements using these rod probe sensors embedded in the soil. TDR measurements were taken in the laboratory for a typical road base material at two basically different conditions: at constant moisture content with different dry densities and at constant dry density with different moisture contents. In this study, a relationship was developed between the voltage drop occurring for the passage of an electromagnetic wave through the soil and the bulk density. The permittivity of the soil sample obtained from the travel time of TDR signals was used to calculate the volumetric moisture content. Finally, the gravimetric moisture content was obtained from the volumetric moisture content and bulk density relationship. For the validation of the calibration functions, rod probe sensors were installed in a road to obtain in situ moisture content and density under field conditions. Laboratory results indicate that the calibration functions are independent of moisture and density, and the field test shows the applicability of the method. The newly developed calibration functions allow for the monitoring of the long-term pavement performance, leading to a better understanding of the time-dependent evolution of, for example, rutting of roads.


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