Welcome to Microplastic Analysis Applying μFTIR Imaging, ATR-FRIR and other Techniques

This PhD course addresses sampling, sample preparation and state-of-the-art analytical techniques to analyze microplastics in environmental samples.



The first step in microplastic analysis is sample preparation where a sample is pretreated to remove natural organic and inorganic particles and concentrate the microplastic particles for subsequent identification of plastic material and size. The choice of method for sample preparation depends on the matrix analyzed and differs significantly between, for instance, soil, wastewater, surface water, animal tissue.



The second step in the analysis is the identification of plastic material and size. The general agreement is that FTIR based techniques are the most promising in this respect. Especially techniques applying μFTIR spectroscopy imaging – where light microscopy together with spectral images generated by (for example) a Focal Plane Array or a linear array are applied to a particle assembly – have proven very promising. This second step consists of two sub-steps: 1) The scanning of a particle assembly located on a carrier suitable for μFTIR imaging; 2) Analysis of the spectra obtained and determination of particle size. All steps require a high degree of expertise and training. In this PhD course we introduced all steps and discus issues, pro and cons of different approaches. In addition to the μFTIR spectroscopy, hands on with single point ATR-FTIR and an introduction to thermal desorption / pyrolysis GC-MS for microplastic mass quantification is covered by the course. The course also covers the use of automated pipelines for data FTIR data interpretation, namely MPhunter and the AWI Pipeline, and how these are integrated.

The course is organized as some introduction lectures and a lot of hands-on experience on all steps.

Organizer:

Lecturers:

ECTS:

Time:

Place:

City:

Number of seats:

Deadline:

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Welcome to Reliability, Probabilistic Design and Risk Analysis of Wind Turbines

Description: Reliability is a very important issue for wind turbines and wind farms. Reliability is important both for estimating failure rates and probabilities for different components and members in structures, and for planning optimal operation and maintenance. In traditional deterministic code-based design the structural costs are influenced by the value of the safety factors. These reflect the uncertainty related to the design parameters. Improved probabilistic design with a consistent reliability level for all components can be obtained by use of probabilistic reliability-based design methods, where explicit account of uncertainties related to loads, material strength, and calculation methods is made. Risk analysis and assessment of wind turbines and systems are important for optimal reduction of the Levelized Cost of Energy, and forms the basis for assessment of value of information in relation to decisions of tests, condition monitoring, and for cost-optimal planning of operation of maintenance. Strategies for planning of operation and maintenance will be presented with special focus on application of reliability- and risk-based methods.
The course will include the following topics:

Introduction to risk and reliability analysis
Stochastic modeling of uncertainties and failure rates, incl. Bayesian techniques
Reliability analysis of electrical and mechanical components
Reliability analysis of structural members by FORM/SORM and simulation methods
Reliability assessment using theoretical models in combination with information from tests
Probabilistic design of wind turbines
Engineering decision analysis and risk-informed decision making
Value of information
Planning of operation and maintenance for wind turbines and wind farms
Prerequisites:

Basic knowledge on probability theory and statistics.

Organizer: Professor John Dalsgaard Sørensen, jds@civil.aau.dk

Lecturers: Prof. John D. Sørensen, Prof. Michael H. Faber and Ass. Prof. Jannie S. Nielsen, Department of Civil Engineering, Aalborg University

ECTS: 4.0

Time: October-November 2019

Place: Aalborg University

City:

Deadline: October 1, 2019

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Welcome to Generation and Analysis of Waves in Physical Models

Description: The course deals with advanced methods and techniques in generation and analysis of waves in physical models. The course will cover analysis of long and short-crested waves, generation of linear and nonlinear regular waves, generation of oblique waves and associated laboratory difficulties, generation of long-crested and short crested irregular waves, wave reflections and associated laboratory difficulties, active absorption in flumes and basins, wave groups, bounded long waves and wave generator choice and design.

The course will be lectures followed by laboratory exercises to get hands on experience with the different methods.

Preliminary schedule:

Day 1

Introduction + Short presentation of participants

Day 1

Analysis of long-crested waves in time domain

Day 1

Analysis of long-crested waves in frequency domain

Day 1

Biésel transfer functions including stroke and breaking limitations

Day 1

Generation of long-crested irregular waves

Day 1

Generator design criteria and performance curves

Day 1

Exercise: Performance curve for regular waves





Day 2

Follow up on exercises

Day 2

Bounded long waves, wave groups, freak waves

Day 2

Second order wave generation

Day 2

Generation of Solitary waves and N-Waves

Day 2

Generation of highly nonlinear regular and irregular waves using unified generation

Day 2

Design of wave generators

Day 2

Exercise: Generation and analysis of nonlinear regular, irregular and bichromatic waves





Day 3

Follow up on exercises

Day 3

Reflection of waves and laboratory difficulties

Day 3

Reflection analysis of nonlinear waves

Day 3

Reflection analysis in the time domain (SIRW)

Day 3

Active absorption in wave flumes

Day 3

Exercise: Analysis of regular and irregular waves with and without absorption





Day 4

Follow up on exercise

Day 4

Generation of oblique waves and laboratory difficulties

Day 4

Generation of short-crested waves

Day 4

Methods for estimation of directional wave spectra

Day 4

Demonstration of oblique, short-crested waves and corner reflection

Day 4

Exercise: Analysis of short-crested waves





Day 5

Follow up on exercise

Day 5

Active absorption in wave basins

Day 5

Active absorption in wave basins

Day 5

Exercise: Demonstration of 3-D active absorption

Day 5

Evaluation of course



Prerequisites: Basic fluid and wave mechanics

Learning objectives: The objective of the course is to train students in advanced methods and techniques in generation and analysis of waves in physical models in order to know their advantages and limitations.

Teaching methods: Lectures and laboratory exercises

Criteria for assessment: Report on laboratory exercises to be delivered by the students and evaluated by the lecturers

Key literature:

[1]: Frigaard, P., Lykke Andersen, T., Jakobsen, M. M. (2015). Analysis of Waves. Technical Documentation for WaveLab 3. Aalborg University, Denmark.

[2]: Lykke Andersen, T., Frigaard, P. (2015). Wave Generation in Physical Models. Technical Documentation for AwaSys 6. Aalborg University, Denmark.

[3]: Brorsen, M. (2007). Non-linear Waves, Aalborg University, Denmark.

Organizers: Associate Professor, Thomas Lykke Andersen, tla@civil.aau.dk
Lecturers: Thomas Lykke Andersen, Peter Frigaard (Aalborg University), Guillermo Calvino, Gustavo Ferichola (VTI, Spain)
ECTS: 5.0

Time: Medio September 2019

Place: Aalborg University

City:

Number of seats: 14

Deadline: September 1, 2019

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Welcome to Vibration-based Structural Health Monitoring

Description:
The aim of this course is to give the participants an insight into the use of vibration measurements to assess the integrity of structural systems and components. This procedure is referred to as vibration-based structural health monitoring (SHM), which is of interest within several engineering disciplines, such as civil, mechanical, and aerospace. In the course, we will address the following topics:

Structural damages, their appearance in engineering structures, and potential consequences
Theoretical, numerical, and experimental deterministic and stochastic vibration analysis
Deciding on the spatial distribution of sensors for capturing vibration signatures
Signal processing of vibration signatures for discrimination between damage-induced anomalies and environmental and/or operational variability
Characterization of structural damages using signal-processed vibration signatures
Industrial perspectives and real-life application examples
The course consists of lectures, solving theoretical exercises, and conducting experimental studies to increase the physical understanding of the theory.

The target audience is PhD students, but young researchers and professionals from the industry with an interest in the topics of the course are also welcome.

An assignment will be given as homework. For the participants interested in the full 5 ECTS points, we ask you to hand in your homework (in groups of one to three people) at a date to be fixed. Satisfactory answers to the homework are a prerequisite for earning the last 2 ECTS in addition to the 3 ECTS earned during lectures.

Organizers: Prof., PhD, Lars Damkilde, lda@civil.aau.dk, Assistant Professor, PhD, Martin Dalgaard Ulriksen, mdu@civil.aau.dk
Lecturers: Prof., PhD, Lars Damkilde, Assistant Professor, PhD, Martin Dalgaard Ulriksen
ECTS: 5 (3 ECTS at Aalborg University + 2 ECTS assignment home)
Time: 26-30 August, from 9:00 to 16:00
Place: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220, Aalborg
City: Aalborg, Denmark

Deadline: August 5, 2019

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.