You are here: AU PhD  Graduate Schools Science and Technology Courses and how to sign up Scientific courses Vibration-based Structural Health Monitoring (2014)

Vibration-based Structural Health Monitoring (2014)

Name of course: Vibration-based Structural Health Monitoring


ECTS credits: 5 ECTS


Course parameters:
Language: Danish
Level of course: PhD short course
Time of year: Q1/Q2 2014
No. of contact hours/hours in total incl. preparation, assignment(s) or the like: 150 hours work effort, including lectures and self-study.
Capacity limits: None


Objectives of the course:

(Sohn et.al., 2004)1:

"The process of implementing a damage detection strategy for aerospace, civil, and mechanical engineering infrastructure is referred to as Structural Health Monitoring (SHM).  Usage monitoring (UM) attempts to measure the inputs to and responses of a structure before damage so that regression analysis can be used to predict the onset of damage and deterioration in structural condition. Prognosis is the coupling of information from SHM, UM, current environmental and operational conditions, previous component and system level testing, and numerical modeling to estimate the remaining useful life of the system."


Learning outcomes and competences:

The purpose of the course is that the participants achieve:

  • Overview of
    • State of the art SHM
    • Statistical pattern recognition paradigm
    • Statistical model development
  •  Insight in Various vibration based methods for Damage Detection.
  •  Development and Utilization of methods and scripts in SHMtools

 

Compulsory programme:

None


Prerequisites:

None


Name of lecturer:

Professor Rune Brincker


Type of course/teaching methods:

Lectures and self-study.


Literature:

Basis literature

  • “The Fundamental Axioms of Structural Health Monitoring” Keith Worden et al. (2007)
  • ”Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review” (1997) p. 1-36
  • “A Review of Structural Health Monitoring Literature: 1996-2001 p. 92-114 + p. 137-147
  • “A Statistical Pattern Recognition Paradigm for Vibration-Based Structural Health Monitoring”

Methods using vibrational data

  • Changes in frequency
    • “Using Vibration data and Statistical Measures to Locate Damage in Structures”, Friswell et al (1994), The International Journal of … Exp. Modal Analysis 9.
    • “Modal Analysis for Damage Detection in Structures”, Hearn and Testa (1991), Journal of Structural Engineering 117
    • “Remote Detection and Location of Structural Faults Using Modal Parameters” Richardson and Mannan (1992), Proceeding IMAC X
  • Mode Shape Curvature Changes
    • “Field Verification of a Nondestructive Damage Localization and Severity Estimation Algorithm”, Stubbs, Kim & Farrar, IMAC XIII
  • Matrix Update Methods
    • “Damage Detection and Health Monitoring of Large Space Structures” Kim & Bartkowicz, Sound and Vibration 27(6), 12 – 17
  • Sensitivity Based Update Methods
    • “Theorectical and Experimental Correlation Between Finite Element Models and Modal Tests in the Context of Large Flexible Space Structures” Hermez, 1993, Ph.D. dissertation 
    • “Damage Assessment Using Mode Shape Sensitivities” Parloo et al., Mechanical Systems and Signal Processing (2003) 17(3), 499-518
    • “Finite Element Model Update via Bayesian Estimation and Minimization of Dynamic Residuals” Alvin, IMAC XIV

Software

  • Matlab
  • SHMtool
  • SDtools
  • FEMtools

 

Course assessment:

The method for completing the course is that the participants co-write an article on modal SHM in a pattern recognition paradigm for acceptance for publication in a relevant peer-reviewed journal or conference paper.


Provider:

Department of Engineering, Aarhus University


Time:

1 September - 1 December 2014


Place:

Aarhus University, Department of Engineering
Dalgas Avenue 2 
DK-8000 Aarhus C


Registration:

Deadline for registration is passed. 

For registration: Send an email to Professor Rune Brincker



If you have any questions, please contact Professor Rune Brincker, e-mail: rub@eng.au.dk


(Sohn et.al., 2004)1: Sohn, et.al. (2004). A Review of Structural Health Monitoring Literature: 1996–2001. Los Alamos National Laboratories.

Comments on content: 
Revised 20.06.2016