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Altuwaim, A and El-Rayes, K (2018) Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost. Journal of Construction Engineering and Management, 144(07).
Hasanzadeh, S, Esmaeili, B and Dodd, M D (2018) Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking. Journal of Construction Engineering and Management, 144(07).
Hosseini, M R, Martek, I, Chileshe, N, Zavadskas, E K and Arashpour, M (2018) Assessing the Influence of Virtuality on the Effectiveness of Engineering Project Networks: “Big Five Theory” Perspective. Journal of Construction Engineering and Management, 144(07).
Hwang, S, Jebelli, H, Choi, B, Choi, M and Lee, S (2018) Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management, 144(07).
Jordan Srour, F, Kiomjian, D and Srour, I M (2018) Automating the Use of Learning Curve Models in Construction Task Duration Estimates. Journal of Construction Engineering and Management, 144(07).
Karakhan, A A, Rajendran, S, Gambatese, J and Nnaji, C (2018) Measuring and Evaluating Safety Maturity of Construction Contractors: Multicriteria Decision-Making Approach. Journal of Construction Engineering and Management, 144(07).
Karimi, H, Taylor, T R B, Dadi, G B, Goodrum, P M and Srinivasan, C (2018) Impact of Skilled Labor Availability on Construction Project Cost Performance. Journal of Construction Engineering and Management, 144(07).
Konstantinou, E and Brilakis, I (2018) Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site. Journal of Construction Engineering and Management, 144(07).
Lee, C Y, Chong, H and Wang, X (2018) Enhancing BIM Performance in EPC Projects through Integrative Trust-Based Functional Contracting Model. Journal of Construction Engineering and Management, 144(07).
Liu, J and Lu, M (2018) Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints. Journal of Construction Engineering and Management, 144(07).
Masih-Tehrani, M and Ebrahimi-Nejad, S (2018) Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission. Journal of Construction Engineering and Management, 144(07).
- Type: Journal Article
- Keywords: Bulldozer; Continuously variable transmission; Excavation management; Emissions reduction; Fuel consumption; Excavation optimization;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001490
- Abstract:
This paper develops a hybrid optimization approach combining genetic algorithm (GA) and integer linear programming (ILP) to solve the nonlinear optimization problem of managing the fuel consumption and emissions of a tracked bulldozer. Furthermore, the authors propose that a continuously variable transmission (CVT) can better exploit the efficient zones of the engine maps. The original transmission system of the Caterpillar D6T bulldozer consists of a five-gear transmission, whereas the gear ratios of the proposed CVT are continuous and can be assigned according to transmission design. The fuel consumption and three emission items of the engine, unburned hydrocarbons (HC), carbon monoxide (CO), and nitrogen oxides (NOx), are studied. Vehicle–terrain interactions are formulated and the excavation program is characterized by excavation depth and speed. The target of the multiobjective optimization problem is a combination of fuel rate and three emission items. Results show that, for digging depths less than the bulldozer blade maximum digging depth, the target can be improved by more than 31% using CVT incorporated with GA compared to the conventional transmission, obtained by shifting engine operating points from low efficiency zones to optimum points. Finally, integer linear programming is used in a hybrid manner with GA to solve for the optimum combination of excavation steps in tasks of specified digging depths more than the maximum digging depth of the bulldozer blade. Results show that the proposed method can improve the target value up to 18% with the same digging time, and can improve the target value up to 32% using the hybrid optimization approach without time constraint.
Mirzaei, A, Nasirzadeh, F, Parchami Jalal, M and Zamani, Y (2018) 4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects. Journal of Construction Engineering and Management, 144(07).
Sankaran, B and O’Brien, W J (2018) Impact of CIM Technologies and Agency Policies on Performance for Highway Infrastructure Projects. Journal of Construction Engineering and Management, 144(07).
Swei, O (2018) Long-Run Construction Cost Trends: Baumol’s Cost Disease and a Disaggregate Look at Building Material Price Dynamics. Journal of Construction Engineering and Management, 144(07).
Trinh, M T, Feng, Y and Jin, X (2018) Conceptual Model for Developing Resilient Safety Culture in the Construction Environment. Journal of Construction Engineering and Management, 144(07).