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Multi-Objective Optimization of Flexible Pavement Design from an Environmental and Economic Perspective

Demir, Abrohom (2022) Multi-Objective Optimization of Flexible Pavement Design from an Environmental and Economic Perspective.

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Abstract:In recent years, construction companies have been pressured by clients to deliver infrastructure that are not only affordable but also environmental-friendlier. One of these infrastructures are flexible road pavements that are multi-layered systems where each layer can have its own type of mixture and thickness. The current number of asphalt mixtures available to contractors is increasing in size, creating an enormous number of flexible pavement design alternatives. The increasing size of the asphalt mixture portfolio makes it difficult for the pavement designer to find simultaneously the most affordable and environmental-friendly design, while ensuring that pavement performance requirements are met. In this thesis a constrained multi-objective optimization (CMOO) approach which uses the weighted sum method and genetic algorithm (GA) is developed to find optimal pavement designs by minimizing the Environmental Costs Indicator (ECI) and construction costs. The CMOO approach was applied to several case studies and shows that it can find optimal solutions for each case. Additionally, the CMOO approach enables the reduction of both ECI and construction costs when comparing the optimal pavement design with the original one made by the pavement designer. Finally, it is recommended that design responsibility of flexible pavements should be handed over from client to contractor in order to prevent the design of pavement structures that result in unnecessary additional environmental impacts and costs.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Civil Engineering and Management MSc (60026)
Link to this item:https://purl.utwente.nl/essays/93429
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