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Impact Of New Generation Wide-Base Tires On Fuel Consumption, Izak M. Said, Egemen Okte, Jaime Hernandez, Imad L. Al-Qadi
Impact Of New Generation Wide-Base Tires On Fuel Consumption, Izak M. Said, Egemen Okte, Jaime Hernandez, Imad L. Al-Qadi
Civil and Environmental Engineering Faculty Research and Publications
This study combined multiple approaches to evaluate the structural and economic impact of using new-generation wide-base tires (NG-WBT) in New Brunswick, Canada. A three-dimensional finite-element model of a typical pavement structure used in New Brunswick was used to predict critical pavement responses. The model includes measured tire-pavement contact forces among other variables overlooked in conventional flexible pavement analysis approaches. Using the model output, regression analysis was performed to predict the responses under various loadings to avoid performing the time-consuming finite-element analysis. Eight-year weight-in-motion data and critical pavement responses were used in transfer functions to predict pavement damage and the corresponding …
Machine Learning-Based Temporary Traffic Control Cost Analysis, Yuhan Jiang, Sisi Han, Yong Bai
Machine Learning-Based Temporary Traffic Control Cost Analysis, Yuhan Jiang, Sisi Han, Yong Bai
Civil and Environmental Engineering Faculty Research and Publications
In a design-bid-build infrastructural project, the agency may use a lump-sum, or unit-price for temporary traffic control (TTC) items, while their cost is hard to estimate. This paper presents the research results of developing a machine learning model of the relationship between the TTC items’ cost with the project total cost and non-TTC items in infrastructural projects. In detail, 163 infrastructural projects’ data were collected for analyzing two research questions: first, the relationship between the TTC items with the project total cost and non-TTC items; second, the relationship between the TTC items’ payment option with the project total cost and …
Intelligent Painting Process Planner For Robotic Bridge Painting, Yong Bai
Intelligent Painting Process Planner For Robotic Bridge Painting, Yong Bai
Civil and Environmental Engineering Faculty Research and Publications
Due to increased government regulations on environment, health, and safety, the cost of on-site bridge painting has quadrupled over the past several years. The construction industry faces a great challenge in how to control the increased costs of bridge painting and meet the regulations at the same time. A possible solution to address this challenge is to develop a robotic bridge painting system. The development of the robotic system can be justified by the potential improvements in safety and productivity. This paper presents the development and testing of an Intelligent Painting Process Planner. The Planner, built based on bridge feature …