Impact of Design Features on Pavement Response and Performance in Rehabilitated Flexible and Rigid Pavements PDF Download
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Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 276
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Book Description
The primary focus of this research was to determine the effects of design and construction features, such as overlay thickness and mix type, presence of milling, and type of restoration, on pavement response and performance and to establish their importance in the prediction of future performances of rehabilitated pavements. Long-Term Pavement Performance program Specific Pavement Study (SPS)-5 and SPS-6 experiments provided information to obtain a better understanding of the effects of design and construction features on pavement response and performance of rehabilitated flexible and rigid pavements.
Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 276
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Book Description
The primary focus of this research was to determine the effects of design and construction features, such as overlay thickness and mix type, presence of milling, and type of restoration, on pavement response and performance and to establish their importance in the prediction of future performances of rehabilitated pavements. Long-Term Pavement Performance program Specific Pavement Study (SPS)-5 and SPS-6 experiments provided information to obtain a better understanding of the effects of design and construction features on pavement response and performance of rehabilitated flexible and rigid pavements.
Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 0
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Book Description
This document is a technical summary of the Federal Highway Administration report, Impact of Design Features on Pavement Response and Performance in Rehabilitated Flexible and Rigid Pavements (FHWA-HRT-10-066). Rehabilitation and pavement preservation represent the majority of pavement construction activity in the United States. Preventive maintenance includes treatments that are applied to pavements primarily to delay development of and mitigate existing distresses. These treatments focus on improving pavement functional performance and prolonging pavement life, not on improving the structural capacity. Selecting the appropriate maintenance technique and treatment application timing form the basis of a preventive maintenance practice. In addition to a nontreated control section, the Specific Pavement Study (SPS)-3 experiment included the following four maintenance treatment alternatives: Thin hot mix asphalt overlay (typically 1 inch (25.4 mm) or less). Slurry seal. Crack seal. Chip seal. Additionally, each site was categorized according to the following five design factors: Moisture (wet or dry climate). Temperature (freeze or no-freeze zone). Subgrade type (fine grained or coarse grained). Traffic loading (low or high). Existing pavement condition (good, fair, or poor). This experimental design resulted in 48 different experimental combinations of factors. In total, 33 States and Canadian Provinces participated in the experiment, and 81 sites were constructed and monitored for the assessment.
Author: National Research Council (U.S.). Transportation Research Board
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 228
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Book Description
Author:
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 370
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Book Description
Author: Turner-Fairbank Highway Research Center
Publisher:
ISBN:
Category : Pavements, Asphalt
Languages : en
Pages : 4
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Book Description
Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 210
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Book Description
Author: Turner-Fairbank Highway Research Center
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 4
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Book Description
Author: American Association of State Highway and Transportation Officials
Publisher: AASHTO
ISBN: 156051423X
Category : Pavements
Languages : en
Pages : 218
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Book Description
Author: Maurizio Crispino
Publisher: CRC Press
ISBN: 0429559720
Category : Technology & Engineering
Languages : en
Pages : 847
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Book Description
Pavement and Asset Management contains contributions from the World Conference on Pavement and Asset Management (WCPAM 2017, Baveno, Italy, 12-16 June 2017). For the first time, the European Pavement and Asset Management Conference (EPAM) and the International Conference on Managing Pavement Assets (ICMPA) were joining forces for a global event that aimed not only at academics and researchers, but also at practitioners, engineers and technicians dealing with everyday tasks and responsibilities related to transport infrastructures pavement and asset management. Pavement and Asset Management covers a wide range of topics, from emerging research to engineering practice, and is grouped under the following themes: - Data quality and monitoring - Economics, political and environmental management, strategies - Deterioration models - Key performance indicators - PMS-case studies - Design and materials - M&R treatments - LCA & LCCA - Risk and safety - Bridge and tunnel management - Smart infrastructure and IT Pavement and Asset Management will be valuable to academics and professionals interested and/or involved in issues related to transport infrastructures pavement and asset management.
Author: Gopi Krishna Musunuru
Publisher:
ISBN: 9781088390511
Category : Electronic dissertations
Languages : en
Pages : 270
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Book Description
The mechanistic-empirical pavement design guide (AASHTOWARE Pavement-ME) incorporates mechanistic models to estimate stresses, strains, and deformations in pavement layers using site-specific climatic, material, and traffic characteristics. These structural responses are used to predict pavement performance using empirical models (i.e., transfer functions). The transfer functions need to be calibrated to improve the accuracy of the performance predictions, reflecting the unique field conditions and design practices. The existing local calibrations of the performance models were performed by using version 2.0 of the Pavement-ME software. However, AASHTO has released versions 2.2 and 2.3 of the software since the completion of the last study. In the revised versions of the software, several bugs were fixed.Consequently, some performance models were modified in the newer software versions. As a result, the concrete pavement IRI predictions and the resulting PCC slab thicknesses have been impacted. The performance predictions varied significantly from the observed structural and function distresses, and hence, the performance models were recalibrated to enhance the confidence in pavement designs. Linear and nonlinear mixed-effects models were used for calibration to account for the non-independence among the data measured on the same sections over time. Also, climate data, material properties, and design parameters were used to develop a model for predicting permanent curl for each location to address some limitations of the Pavement-ME. This model can be used at the design stage to estimate permanent curl for a given location in Michigan.Pavement-ME also requires specific types of traffic data to design new or rehabilitated pavement structures. The traffic inputs include monthly adjustment factors (MAF), hourly distribution factors (HDF), vehicle class distributions (VCD), axle groups per vehicle (AGPV), and axle load distributions for different axle configurations. During the last seven years, new traffic data were collected, which reflect the recent economic growth, additional, and downgraded WIM sites. Hence it was appropriate to re-evaluate the current traffic inputs and incorporate any changes. Weight and classification data were obtained from 41 Weigh-in-Motion (WIM) sites located throughout the State of Michigan to develop Level 1 (site-specific) traffic inputs. Cluster analyses were conducted to group sites for the development of Level 2A inputs. Classification models such as decision trees, random forests, and Naive Bayes classifier were developed to assign a new site to these clusters; however, this proved difficult. An alternative simplified method to develop Level 2B inputs by grouping sites with similar attributes was also adopted. The optimal set of attributes for developing these Level 2B inputs were identified by using an algorithm developed in this study. The effects of the developed hierarchical traffic inputs on the predicted performance of rigid and flexible pavements were investigated using the Pavement-ME. Based on the statistical and practical significance of the life differences, appropriate levels were established for each traffic input. The methodology for developing traffic inputs is intuitive and practical for future updates. Also, there is a need to identify the change in traffic patterns to update the traffic inputs so that the pavement sections would not be overdesigned or under-designed. Models were developed where the short-term counts from the PTR sites can be used as inputs to check if the new traffic patterns cause any substantial differences in design life predictions.
