MABY5030 Advanced Road Engineering Course description

This course is structured in two parts to cover the most important aspects of road pavements.

Part 1 is mainly concerned with the fundamental properties of road construction materials and pavement design. Among the others, the topics include advanced material characterization, material recycling, deterioration mechanisms and mechanistic design.

Part 2 is mainly concerned with pavement management and rehabilitation. Among the others, the topics include network and project level management, non-destructive testing for condition measurements, life cycle cost considerations as well as maintenance and rehabilitation strategies.

Language of instruction: English

Upon successful completion of the course, the student should display the following:

Knowledge:

The student has:

• knowledge of the main properties of road construction components
• deep understanding of life cycle assessment and life cycle cost of roads
• in-depth knowledge about the principles of construction, maintenance and rehabilitation of road pavements

Skills:

The student is capable of :

• applying theoretical and practical knowledge in pavement design
• applying management techniques to improve the life cycle and reduce costs
• understanding the road construction materials and how they are affected by the environment
• assessing key performance indicators for various pavements to determine maintenance and rehabilitation options

General competence:

The student is able to:

• perform sustainable material choices for the different pavement layers
• critically evaluate the road performance specifications and transport asset management
• apply advanced concepts and theories to evaluate pavement design options and management

Lectures and assignments.

The following coursework requirements must be approved in order for the student to take the exam:

• Part 1: At least 1 of 2 individual assignments approved and/or participate in 1 of 2 excursions.
• Part 2: At least 1 of 2 individual assignments approved.

Students who fail to meet the coursework requirements can be given up to one re-submission opportunity before the exam

Individual written examination under supervision of 3 hours. The exam has two parts corresponding to part 1 and part 2 in the coursework.

Examination results can be appealed.

In the event of a postponed exam, an oral exam can be used instead. Examination results cannot then be appealed.

This course equips students with skills and knowledge in hydraulic and bioprocess modelling for urban water systems. Students will learn to use hydraulic models for designing urban storm-, wastewater, and water distribution systems, covering specifics of urban hydraulics and hydrology, as well as system planning, design and optimization.

Additionally, chemical and biochemical engineering principles will be used to learn mathematical models of bioprocesses, focusing on reaction kinetics, bioreactor operation and design in biological water treatment.

The course integrates training on software tools, such as SWMM, Mike+, Epanet, Scalgo, Matlab, and Python for hands-on experience and simulations.

Language of instruction: English

None.

After completing the course, the student is expected to have achieved the following learningoutcomes defined in terms of knowledge, skills and general competence:

Knowledge:

The student will

• have knowledge of principles of model-based design of urban water systems
• have understanding of urban water technologies
• know how to identify key pollutants in urban runoff
• have knowledge in chemical conversion and biokinetic processes
• know the design principles in water resource bioprocessing.

Skills:

The student can

• dimension urban water systems manually and using hydraulic software
• optimize design and operation of reactor systems for water treatment
• design and optimize pipe systems
• develop and evaluate mathematical description and analysis of complex bioprocesses
• synthesise computer codes for simulating bioreactor system processes.

General competences:

the student

• is able to do critical analysis and evaluation of information
• has insight in systematic and creative problem-solving
• is able to effectively communicate with stakeholders
• is able to handle uncertain or incomplete information.

The teaching will consist of a combination of:

• Lectures & discussions
• Independent studies including video recordings and online exercises
• Coursework assignments
• Practical use of tools and software
• Field excursions

Live in-person and online lectures will be recorded, and the material will be made available to students on CANVAS.