Impact of Roughness-Induced Dynamic Load on Flexible Pavement Performance

2009 ◽  
pp. 383-383-15 ◽  
Author(s):  
AT Papagiannakis ◽  
RCG Haas ◽  
JHF Woodrooffe ◽  
PA Leblanc
Keyword(s):  
Dynamic Load ◽  
Flexible Pavement ◽  
Pavement Performance

Effect of flotation tires used for agricultural field equipment on flexible pavement damage

2019 ◽  
Vol 46 (6) ◽  
pp. 501-510 ◽  
Author(s):  
Jean-Pascal Bilodeau ◽  
Damien Grellet ◽  
Guy Doré ◽  
Maurice Phénix
Keyword(s):  
Experimental Research ◽  
Damage Mechanism ◽  
Flexible Pavement ◽  
Pavement Performance ◽  
Agricultural Field ◽  
Tire Pressure ◽  
Field Equipment ◽  
Truck Tires ◽  
Pavement Response ◽  
Pavement Damage

Agricultural field equipment are typically equipped with wide single tires with particular tire tread and low inflation working pressures. Because of the significant differences with standard truck tires, the effect of flotation implement tire on pavement performance and load associated damage is likely to differ. This paper presents the results of an experimental research project where flotation tires were used to test the response of an instrumented flexible pavement built in an indoor test pit. The effect of load, tire pressure, and tire type was investigated as part of the study. Based on the collected results, the tire type and design greatly influence the pavement response. The critical and governing pavement damage mechanism was found to be subgrade structural rutting. Wide specialty tires were found to generally induce less damage than standard truck tires. A method for axle weight adjustment for wide farm tires was proposed as part of the project.

scholarly journals Karakteristik Marshall Pada Campuran Asphalt Concrete – Wearing Course (AC-WC) Dengan Penambahan Styrofoam

2019 ◽  
Vol 8 (2) ◽  
pp. 51-62
Author(s):  
Ika Sulianti ◽  
Ibrahim Ibrahim ◽  
Agus Subrianto ◽  
Adelia Monita ◽  
Medici Medici
Keyword(s):  
Asphalt Concrete ◽  
Asphalt Pavement ◽  
Flexible Pavement ◽  
Asphalt Mixtures ◽  
Concrete Mixture ◽  
Pavement Performance ◽  
Food Container ◽  
Optimum Stability ◽  
Marshall Test

Styrofoam waste presents the environment issue because it is difficult to decompose. As an effort to recycle this pollutant, styrofoam can be utilized as an additive in asphalt concrete mixture. The use of additives aims to create a flexible pavement layer having good performance and meet the requirements. The purpose of this study is to find out whether the addition of styrofoam can improve the quality of asphalt mixtures, and look for alternative additives that can increase asphalt pavement performance. In this study, researchers used food container styrofoam as an addition and incorforated into Asphalt Concrete Wearing Course (AC-WC) mixture. The styrofoam content was 6.5%; 6.75%; 7% ; 7.25%; and 7.5% of asphalt weight. The optimum asphalt contentused is 5.5%. The value of the optimum stability was 3126,002 kg, found at 7.25% of styrofoam content. The best results of Marshall test was obtained at 6.5% of styrofoam content  with stability value  1362,045 kg, VIM value 4,96%, VMA 15,025%, VFA 67,800%, flow 3,44 mm, and MQ 416,338 kg / mm.

scholarly journals Influence of moisture infiltration on flexible pavement cracking and optimum timing for surface seals

2020 ◽  
Vol 47 (5) ◽  
pp. 487-497 ◽  
Author(s):  
Syed Waqar Haider ◽  
Muhammad Munum Masud ◽  
Karim Chatti
Keyword(s):  
Service Life ◽  
Monitoring Program ◽  
Fatigue Cracking ◽  
Flexible Pavement ◽  
Time Domain Reflectometry ◽  
Water Infiltration ◽  
Base Layer ◽  
Pavement Performance ◽  
Ann Model ◽  
Premature Failure

Moisture increase in pavement subsurface layers has a significant influence on granular material properties that affect the expected pavement performance. In situ moisture variations over time in an unbound base layer depend on water infiltration after precipitation and pavement surface conditions. Consequently, base resilient modulus (MR) is reduced, which leads to premature failure and reduced service life. This paper presents long-term pavement performance (LTPP) data analyses for quantifying the effect of moisture infiltration through surface cracking on flexible pavement performance. Subsurface moisture data obtained through the seasonal monitoring program (SMP) time domain reflectometry (TDR) are an excellent source for quantifying the moisture-related damage in flexible pavement located in different climates. An artificial neural network (ANN) model was developed based on the SMP data for flexible pavement sections. The results show that higher levels of cracking will lead to an increase in moisture levels within the base layer, which leads to a significant decrease in the base MR. For flexible pavement, the maximum reduction in base MR ranged from 18% to 41% and from 153% to 175% for the pavement sections located in dry and wet regions, respectively. Consequently, the performance of pavement sections located in wet climates is adversely affected. The findings imply that an adequate and timely preservation treatment for cracking sealing (e.g., surface seals) can enhance the pavement’s service life, especially in wet climates. The results suggest that cracks should be sealed when the extent of fatigue cracking is within 6% and 11% for the flexible pavement sections located in wet and dry climates, respectively.

Seed Modulus Generation Algorithm for Backcalculation of Flexible Pavement Moduli

2005 ◽  
Vol 1905 (1) ◽  
pp. 117-127 ◽  
Author(s):  
T. F. Fwa ◽  
Thakur Swapna Rani
Keyword(s):  
Closed Form ◽  
Flexible Pavements ◽  
Flexible Pavement ◽  
Pavement Performance ◽  
Program Performance ◽  
Generation Algorithm ◽  
User Input ◽  
Pavement Structures ◽  
Performance Project

The seed moduli chosen for backcalculation analysis of multilayer flexible pavements can have significant impacts on the performance of backcalculation software and, sometimes, the final solutions of the backcalculated moduli. Practically all backcalculation programs provide internally generated seed moduli for backcalculation analysis. However, as the internally generated seed moduli do not always produce satisfactory results, the use of user-input seed moduli is generally encouraged. With the aim of providing useful guidance in the choice of seed moduli, a seed modulus generation algorithm, 2L-BACK, for multilayer flexible pavements based on a closed-form modulus backcalculation solution for two-layer flexible pavement structures was developed. The proposed algorithm does not require any subjective judgment by the user. An evaluation analysis of the effectiveness of the proposed procedure is presented by the use of two types of backcalculation software, MICHBACK and EVERCALC, and is based on measured and computed data for flexible pavement segments from the Long-Term Pavement Performance project. A comparison was made of the backcalculation program performance and the computed moduli of solutions obtained from internally generated seed moduli and those obtained from seed moduli generated by the proposed algorithm. It was found that the proposed seed modulus generation algorithm led to enhanced program performance of MICHBACK with respect to convergence characteristics and the accuracies of the backcalculated solutions. In comparison, the corresponding improvements for the case of EVERCALC were less. The proposed seed modulus generation algorithm does not suffer from the location and pavement type transferability constraints of most regression-based seed modulus generation methods. The results of the study suggest that the algorithm can be effectively incorporated into backcalculation software for multilayer flexible pavements.

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