Input Parameters for the Mechanistic-Empirical Design of Full-Depth Reclamation Projects

Author(s):  
Vishwa V. Beesam ◽  
Cristina Torres-Machi

Cold recycling technologies such as full-depth reclamation (FDR) are sustainable and cost-effective techniques for pavement rehabilitation that reduce environmental impacts and construction costs and time. The limited information available on the material properties of FDR mixtures and their characterization in mechanistic-empirical (M-E) pavement design hinders the full deployment of FDR. Previous research has found current M-E default values to be non-representative and overly conservative, leading to an underestimation of the true performance capabilities of FDR materials. To address this gap, this paper analyzes the performance of 11 FDR sites constructed throughout Colorado, U.S., and compares their long-term performance with M-E predictions. The objective of this paper is to recommend input values for the M-E design of FDR base materials that result in reliable predictions of FDR long-term performance. The analysis includes both non-stabilized and emulsion-stabilized FDR projects. Both initial International Roughness Index (IRI) and resilient modulus were found to have a significant impact on M-E predictions and were calibrated in a two-step process. The proposed input parameters lead to a conservative design of FDR projects and result in improved IRI predictions compared with the ones derived from current design criteria. With the current design parameters, IRI predictions were, on average, overestimated by 51 in./mi, whereas the proposed input parameters make it possible to reduce this difference to 17 in./mi. Future research is needed to improve current models in M-E pavement design software to adequately model cold in-place recycled layers such as FDR.

2020 ◽  
Vol 10 (12) ◽  
pp. 4330
Author(s):  
Hyunjun Jung ◽  
Seok-Been Im ◽  
Yun-Kyu An

This study proposes a probability-based carbonation prediction approach for successful monitoring of deteriorating concrete structures. Over the last several decades, a number of researchers have studied the concrete carbonation prediction to estimate the long-term performance of carbonated concrete structures. Recently, probability-based durability analyses have been introduced to precisely estimate the carbonation of concrete structures. Since the carbonation of concrete structures, however, can be affected by material compositions as well as various environmental conditions, it is still a challenge to predict concrete carbonation in the field. In this study, the Fick’s first law and a Bayes’ theorem-based carbonation prediction approach is newly proposed using on-site data, which were obtained over 19 years. In particular, the effects of design parameters such as diffusion coefficient, concentration, absorption quantity of CO2, and the degree of hydration have been thoroughly considered in this study. The proposed probabilistic approach has shown a reliable prediction of concrete carbonation and remaining service life.


Author(s):  
Satyaprakash Karri ◽  
Stephen Peter ◽  
Pavlos P. Vlachos

The most widely accepted modality for treating diseased arteries is the implantation of endovascular stents. Stents are metallic wireframe devices used to reopen clogged arteries. Despite their widespread use, problems persist post-implantation of these devices beginning with sub-acute thrombus formation followed by inflammation, proliferation and remodeling [1]. The specific stent design and its design parameters profoundly impact the hemodynamic environment of the stent [2], in turn affecting thrombus accumulation between struts and thus restenosis [3]. Prior research examining the hemodynamic effects of stents has been performed in simplified geometries [4] however the effects of stent design parameters such as strut thickness and crown radius of curvature or analysis in realistic geometries is generally lacking. A more thorough understanding of the effect of a stent’s geometric parameters on the arterial flow will provide insight into their long-term performance and will lead to better design.


2017 ◽  
Vol 11 (12) ◽  
pp. 48
Author(s):  
Jaya Ganesan ◽  
Lee Kar Mun ◽  
Kavitha Raman

It is evident from research that Generation-Y constitutes a large proportion in the work force across the globe and hence it is a great challenge to organisations to attract and retain their Gen-Y employees. Various studies have highlighted that the knowledge of organisational commitment is crucial to organisations in developing their long-term performance and growth. This study aims to explore the determinants of organisational commitment among the Generation-Y who are employed in Malaysian SMEs (Johor Baharu, Selangor and KualaLumpur). The data was collected from 200 Gen-Y employees. Variables such as pay and benefits, training, leadership style, organisational culture and job satisfaction using multiple regression revealed that all variables had significant relationship with organisational commitment. Theoretical and practical implications are discussed based on the findings. The study also highlighted recommendations for future research.


1981 ◽  
Vol 11 ◽  
Author(s):  
Bror Skytte Jensen

The plans for the disposal of radioactive waste leave very little time for testing long term performance of a repository so the evaluation of the hazards involved in the operation relies heavily on model calculations. It is therefore of utmost importance that these model calculations take all important parameters into account and are based on a thorough understanding of the possible physical and chemical processes in which the migrating species take part.


2013 ◽  
Vol 671-674 ◽  
pp. 1648-1651
Author(s):  
Jian Wei Huang

Degradation mechanisms of GFRP bar in real concrete are still not clear to civil engineers due to limited field applications. To avoid unsafe design, in current design codes a material factor is used to assure long-term safety of GFRP RC structures. This paper presents an assessment of material factors for GFRP bar as specified in Canadian Design Codes by predicting GFRP long-term performance with monthly average temperatures from 14 weather reporting stations in Canada. Results showed that the material factor varies from 0.57 to 0.61 for an application with 100% RH exposure, while a factor of 0.75 could be adequate for cases with exposure RH ≤90%. Considering the annual relative humidity across Canada, conclusion could be made that current factors in Canadian codes could provide sufficient safety margin.


2010 ◽  
Vol 5 (2) ◽  
Author(s):  
S.K. Pattanayak ◽  
S. Chang ◽  
M. Theodoulou ◽  
V. Mahendraker

The membrane bioreactor (MBR) process has become an effective alternative wastewater treatment technology that produces effluent with excellent quality. Globally, a wide range of municipal and industrial MBR plants are in operation, varying both in size and complexity. The objective of this investigation was to develop a better understanding of the long term performance of MBR plants. To achieve this objective, eight full-scale municipal MBR plants were examined. The methodology included a review of plant design parameters, pre-treatment system, biological operation, membrane operation, disinfection system and nutrient removal system. In addition, on-site tests were done on permeate, final effluent and mixed liquor to understand MBR performance.


Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  

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