Asphalt binder selection for future Canadian climatic conditions using various pavement temperature prediction models

2022 ◽  
pp. 1-15
Author(s):  
Surya T. Swarna ◽  
Kamal Hossain
Keyword(s):  
Prediction Models ◽  
Asphalt Binder ◽  
Climatic Conditions ◽  
Temperature Prediction ◽  
Pavement Temperature ◽  
Selection For

Study on Temperature Prediction Model of Asphalt Concrete Pavement

2011 ◽  
Vol 243-249 ◽  
pp. 506-509
Author(s):  
Yuan Xun Zheng ◽  
Ying Chun Cai ◽  
Ya Min Zhang
Keyword(s):  
Asphalt Concrete ◽  
Prediction Models ◽  
Asphalt Pavement ◽  
Temperature Data ◽  
Measured Temperature ◽  
Temperature Prediction ◽  
Distribution Laws ◽  
Pavement Temperature ◽  
Asphalt Concrete Pavement ◽  
Excellent Accuracy

This study presents a kind of new model correlates air and pavement temperatures in bituminous pavement. Based on abundant measured temperature data in Henan Province, China, distribution laws in asphalt conctete pavement temperature is studied detailed and the dependency between air and pavement temperature is discussed by the method of regression analysis and the prediction models of asphalt pavement temperature are established. Comparisons between measured and predicted asphalt pavement temperatures indicate that the models are equipped with comprehensive applicability and excellent accuracy.

Emission Characteristics of VOCs during Asphalt Pavement Construction

2021 ◽  
Vol 1035 ◽  
pp. 999-1005
Author(s):  
Yin Huai Ma ◽  
Li Guo ◽  
Shao Peng Wu ◽  
Na Li ◽  
Jun Xie
Keyword(s):  
Asphalt Pavement ◽  
Asphalt Binder ◽  
Critical Factor ◽  
Rolling Process ◽  
Field Investigation ◽  
Construction Technology ◽  
Pavement Temperature ◽  
Pavement Construction ◽  
Complex Organic ◽  
Vocs Emission

As the important part of expressway, the construction technology of asphalt pavement will contribute to the production of greenhouse gases and other volatile organic compounds (VOCs), which has a significant impact on the environment. In order to further analyze the composition, distribution and release of VOCs during asphalt pavement construction, the VOCs emission during paving and rolling were measured through field investigation and sampling. The results show that there are approximately 100 kinds of VOCs substances detected due to the complex organic component of asphalt binder, which is a critical factor to influence the VOCs emission during asphalt pavement construction. During the paving process, the largest VOCs release is 1015.05 ug/m3. With the increase of rolling times, the pavement temperature gradually decrease, and the VOCs emission drops to 266.73 ug/m3. The content of the 10 kinds of substances with the highest concentration accounts for more than 50% of the total VOCs content, in which the proportion of aliphatic hydrocarbons (ALH) and oxygenated hydrocarbon (O-HYD) of the paving process are the highest, while the proportion of aromatic hydrocarbons (ARH) is dominated in the rolling process. The results are vulnerable to the external environment, especially at lower emission level. The relevant research results have certain guiding significance for the control and treatment of harmful gas emission in the construction process of asphalt pavement.

Comparison Of Rectal Temperature Prediction Models Utilizing Machine Learning

2017 ◽  
Vol 49 (5S) ◽  
pp. 454
Author(s):  
Luke N. Belval ◽  
Yuri Hosokawa ◽  
Lesley W. Vandermark ◽  
Rebecca L. Stearns ◽  
Lawrence E. Armstrong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Temperature ◽  
Prediction Models ◽  
Temperature Prediction

Concrete pavement temperature prediction and case studies with the FHWA HIPERPAV models

2004 ◽  
Vol 26 (5) ◽  
pp. 463-471 ◽  
Author(s):  
A.K. Schindler ◽  
J.M. Ruiz ◽  
R.O. Rasmussen ◽  
G.K. Chang ◽  
L.G. Wathne
Keyword(s):  
Case Studies ◽  
Concrete Pavement ◽  
Temperature Prediction ◽  
Pavement Temperature

Superpave Models: Predicting Performance during Design and Construction

1996 ◽  
Vol 1545 (1) ◽  
pp. 105-112
Author(s):  
Gerald A. Huber ◽  
Xishun Zhang ◽  
Robin Fontaine
Keyword(s):  
Prediction Models ◽  
Permanent Deformation ◽  
Asphalt Binder ◽  
Asphalt Mixture ◽  
Asphalt Mixtures ◽  
Engineering Properties ◽  
Design System ◽  
Widespread Application ◽  
Premature Failure ◽  
The Impact

The Strategic Highway Research Program (SHRP) spent $50 million researching asphalt binders and asphalt mixtures and provided three main products: an asphalt binder specification, an asphalt mixture specification, and Superpave, an asphalt mixture design system that encompasses both the binder and mixture specification. SHRP researchers have provided tools that promise more robust asphalt mixtures with reduced risk of premature failure. Implementation of the specifications and mix design system will require overcoming several obstacles. Superpave must be demonstrated to be practical and easy to use. The impact of Superpave aggregate requirements on aggregate availability must be determined. The Superpave gyratory compaction procedure has been uniquely defined and then calibrated to traffic volume. The reasonableness of this approach must be tested in widespread application. Perhaps the largest implementation hurdle exists in the performance models. Expensive test equipment is necessary to do the performance-based tests. The performance predictions must be established as reasonable to justify the cost. A highway reconstruction project containing three Superpave Level 1 mix designs is documented including quality control done with the Superpave gyratory compactor. Superpave Level 2 performance-based tests were carried out to predict permanent deformation of the design and the mixture as constructed. The performance-based engineering properties obtained from the tests are evaluated, and the reasonableness of the performance prediction models is discussed.

A novel clinical decision aid to support personalized treatment selection for patients with CT1 renal cortical masses: Results from a multi-institutional competing risks analysis including performance status and comorbidity.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 610-610
Author(s):  
Sarah P. Psutka ◽  
Roman Gulati ◽  
Michael A.S. Jewett ◽  
Kamel Fadaak ◽  
Antonio Finelli ◽  
...  
Keyword(s):  
Competing Risks ◽  
Active Surveillance ◽  
Thermal Ablation ◽  
Prediction Models ◽  
Performance Status ◽  
Personalized Treatment ◽  
Risk Calculator ◽  
Selection For ◽  
Competing Causes

610 Background: Personalized treatment for clinical T1 renal cortical masses (RCMs) should account for competing risks related to tumor and patient characteristics. Using a contemporary multi-institutional cohort, we developed treatment-specific prediction models for cancer-specific mortality (CSM), other-cause mortality (OCM), and 90-day complication rates for patients managed with surgery, thermal ablation (TA), and active surveillance (AS). Methods: Preoperative clinical and radiological features were collected for eligible patients aged 18-91 years treated at four academic centers from 2000-2016. Prediction models used competing risks regressions for CSM and OCM and logistic regressions for 90-day Clavien >3 complications, adjusting for tumor size as well as patient age, sex, ECOG performance status (PS), and Charlson comorbidity index (CCI). Predictions accounted for missing data using multiple imputation. Results: After excluding 25 patients with no follow-up, the cohort included 4995 patients treated with radical nephrectomy (RN, n=1270), partial nephrectomy (PN, n=2842), thermal ablation (n=479), or active surveillance (n=404). Median follow-up was 5.1 years (IQR 2.5-8.5). Predictions from the fitted model are shown in an online calculator ( https://rgulati.shinyapps.io/rcc-risk-calculator ). To illustrate the use of this calculator for a specific patient, a 70-year-old female with a 5.5 cm RCM, PS of 2, and CCI of 3 has a predicted 5-year CSM of 4-7% across treatments, 5-year OCM of 34-49%, and 90-day risk of Clavien ≥3 complications of 4%, 10%, and 6% for RN, PN, and TA respectively. Conclusions: Personalized treatment selection for cT1 RCM is challenging. We present a competing risk calculator that incorporates pretreatment features to quantify competing causes of mortality and treatment-associated complications. Pending validation, this tool may be used in clinical practice to provide patients with estimated individualized treatment-specific probabilities of competing causes of death and complication risks to facilitate shared decision-making.

Perpetual pavement temperature prediction model

2013 ◽  
Vol 15 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Daba S. Gedafa ◽  
Mustaque Hossain ◽  
Stefan A. Romanoschi
Keyword(s):  
Prediction Model ◽  
Temperature Prediction ◽  
Pavement Temperature ◽  
Perpetual Pavement

Impaction of Climate Change on Asphalt Pavements

2013 ◽  
Vol 723 ◽  
pp. 617-622
Author(s):  
Er Hu Yan ◽  
Fu Pu Li ◽  
Rong Ma ◽  
Fei Chen
Keyword(s):  
Climate Change ◽  
Heat Wave ◽  
Asphalt Pavement ◽  
Asphalt Binder ◽  
Climatic Conditions ◽  
Extreme Heat ◽  
Asphalt Pavements ◽  
Asphalt Cement ◽  
The Past ◽  
Change Climate

Climate change is one of the most key global topics well-known in international community. Over the past decades years, the change climate and its impact on asphalt pavement in China is very obvious. Many expressways of asphalt pavement come forth severe rutting failure during only a few days of extensive, long-lasting, extreme heat wave in summer, which resulting in the change of asphalt cement specification and the selection practice of asphalt cement. So it is necessary to review climate change and its impact in the past, and forecast the probable situation in the future. The paper focuses specifically on the issue of asphalt binder selection under changing climatic conditions.

scholarly journals Asphalt Binder Performance Grading for the Republic of Yemen Based on Superpave Asphalt Mix-Design

2020 ◽  
Vol 14 (1) ◽  
pp. 365-379
Author(s):  
Ghassan M. Ali Hussain ◽  
Mohammed A.G. Abdulaziz ◽  
Zheng N. Xiang ◽  
Mohammed A. Al-Hammadi
Keyword(s):  
Prediction Models ◽  
Asphalt Pavement ◽  
Permanent Deformation ◽  
Asphalt Binder ◽  
Pavement Management ◽  
Temperature Sensitive ◽  
Seasonal Temperature ◽  
Asphalt Mix ◽  
The Republic ◽  
Performance Grading

Background: The asphalt binder is considered a temperature-sensitive viscoelastic material. Temperature can cause some common distress of asphalt pavement, such as rutting (permanent deformation), which correlated with high-temperature environments, and thermal cracking, which correlated with low-temperature environments. Objective: This study aimed to establish asphalt binder Performance Grades (PGs) in the Yemeni region to ensure that the asphalt pavement design can effectively resist the distresses of rutting and cracking that occurred due to seasonal temperature changes. Methods: In order to determine the performance grades, the temperature zoning was performed by obtaining the last 10 years temperature data of 19 cities in Yemen gathered by the Yemeni Meteorological Authority. The collected data were analyzed based on the trend and statistical reliability. Three air-pavement temperature prediction models of Superpave, LTPP, and Oman model were used to predict air pavement temperatures. The local performance grades were computed using reliability levels of 50% and 98%. Since the dependent variables of latitude in the Superpave equation can more reflect the geographical locations of Yemeni regions rather than the other models, this study strongly approved the SHARP Superpave model to be used to determine the performance grades. Results: Based on the Superpave model with reliability analyses, performance grade maps were drawn. The most common performance grades recommended in this study for low traffic volume roads were PG64-10, and PG52-10. Conclusion: The findings of this study are highly significant and provide valuable decision support for pavement management and improve the transportation system in the Republic of Yemen.

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