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: Professor Lars Damkilde, e-mail: lda@civil.aau.dk and Research Assistant, PhD, Martin Dalgaard Ulriksen, e-mail: mdu@civil.aau.dk

Lecturers: Professor Lars Damkilde, Research Assistant, PhD, Martin Dalgaard Ulriksen, Founder Structural Vibration Solutions A/S, PhD, Palle Andersen, Research Engineer Brüel & Kjær Sound & Vibration A/S, PhD, Dmitri Tcherniak and Industrial PhD student Universal Foundation A/S, Szymon Gres

ECTS: 5 (3 ECTS at Aalborg University + 2 ECTS assignment home)

Time: 12-16 November 2018 from 9:00-16:00

Place: Departmentof Civil Engineering, Aalborg University, Thomas Manns Vej 23

Zip code: 9220

City: Aalborg Øst

Number of seats: 25

Deadline: 10 October 2018

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 Microplastic analysis applying MFT-IR imaging, ATR-FR-IR and other techniques

Description:

Microplastic in the environment was first described by marine biologists in 2004 and research of microplastic has until recently mainly been driven by the field of marine ecology. Microplastic in general has in the resent years gained increasing political awareness, where occurrence, emission, and reduction potentials have been on the agenda. Analysis of microplastic in environmental samples is far from straight forward or standardized and researchers around the globe experiment with various techniques for sample preparation, analysis, and interpretation.

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 FT-IR based techniques are the most promising in this respect. Especially techniques applying μFT-IR spectroscopy – where light microscopy together with spectral images generated by (for example) a Focal Plane 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 μFT-IR spectroscopy; 2) Analysis of the spectra obtained and determination of particle size.

All three steps require a high degree of expertise and training. In this PhD course we introduce all three steps and discuss issues, pro and cons of different approaches. The course is organized as some introduction lectures and a lot of hands-on experience. The course is structured in 3 main parts:

Sample preparation: Depending on the matrix to be analyzed, sample preparation can take quite some time. Therefore, the PhD student prepares his/hers own sample prior to the course. The sample preparation method is discussed with the course supervisors and done so that the concentrated sample is suited for subsequent μFT-IR spectroscopy. In addition, various sample preparation methods are tried during the course to get hands-on experience.

Scanning of a sample with μFT-IR spectroscopy: A general introduction to μFT-IR spectroscopy is given and the function of such equipment is demonstrated. The samples prepared by the PhD students are scanned.

Spectral analysis: The spectra obtained from the scans are analyzed in plenum.

In addition to the μFT-IR spectroscopy, hands on with single point ATR-FT-IR and an introduction to thermal desorption / pyrolysis GC-MS is covered by the course.


Organizer: Professor Jes Vollertsen, e-mail: jv@civil.aau.dk

Lecturers: Professor Jes Vollertsen, Aalborg University, Associate Professor Asbjørn Haaning Nielsen, Aalborg University, Robert Wills, Agilent Technologies Molecular Spectroscopy Product Specialist – UK, Ireland & Nordics

ECTS: 5

Time: 22-26 October 2018

Place: Aalborg University 

City: 

Number of seats:

Deadline: October 1, 2018

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 Systems Risk Modelling and Analysis in Engineering Decision Making


Description:

The present course provides the background, methods and tools for probabilistic modeling and analysis of engineered systems in the context of decision making aiming to support the management of risks, safety, security, robustness, resilience and sustainability.

Topics/lectures of the course include:

  • Probability and statistics in engineering
  • Bayesian decision analysis
  • Preferences and risk metrics
  • Probabilistic systems representation
  • Systems performance characteristics
  • Methods and tools for risk and decision analysis
  • Application examples

Application domains include but are not limited to transport infrastructures, energy production and distribution systems, buildings and structures, offshore and marine systems, natural hazards protection structures.

The target audience is PhD students but also young researchers and professionals from the industry and governmental agencies with an interest in the topics of the course are welcome. The course is offered at national as well as international level.

Examination will take basis in exercises to be solved during the course. For the participant interested in the full 5 ECTS points an additional assignment to be solved within 2 weeks from the finalization of the course is offered. This assignment will be examined through a web-conference session. 

Organizer: Prof., PhD, Michael Havbro Faber, mfn@civil.aau.dk

Lecturers: Prof., PhD, M. H. Faber, Dep. of Civil Eng. Aalborg University, Prof., PhD J. D. Sørensen, Dep. Of Civil. Eng. Aalborg University, Ass. Prof, PhD Simona Miraglia, Dept. of Civil Eng. Aalborg University and Ass. Prof., PhD, Jianjun Qin, Dept. Civil Eng., Aalborg University.

ECTS: 5 (3 ECTS at Aalborg University + 2 ECTS assignment home)  

Course participation is free for PhD students from Denmark and any other of the Nordic countries - and K-Force participants.

For all other course participants a registration fee of EUR 400.- applies.

All participants are offered coffee or refreshments at coffee breaks and a course dinner event on 17 May for additional EUR 100.-. Participants are responsible for organizing and paying for their own travel, meals, and accommodation.

Please use this link for payment

Time: 14-18 May 2018, each day 08:30 to 18:00 hours

Place: Aalborg University, Department of Civil Engineering, Thomas Manns Vej 23.

14 May: Thomas Manns Vej 23, room 1.104

15 May: Fibigerstraede 16, room 1.111

16 May: Thomas Manns Vej 23, room 1.238

17 May: Thomas Manns Vej 23, room 1.238

18 May: Thomas Manns Vej 23, room 1.238



City: 
Aalborg

Number of seats: 40

Deadline: 23 April 2018

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.