Course outline

Keynote

Keynote by Prof. Jochen Köhler from NTNU.

Monitoring and auscultation

From sensors to useful signals for concrete evaluation and monitoring

Before getting any observable from a measurement, signals have to be recorded after a wave or field has been interacting with concrete. The participants will get an overview of signal sampling and acquisition main features together with an insight of signal processing in the time and frequency domains. Notions about interferometry will be provided in relation to ultrasonic and fibre optic measurements.
Lecturer: Dr Odile Abraham (Ifsttar)

From signals to useful parameters: combination and data fusion

NDT parameters are not necessarily directly related to material or structural parameters. They have to be translated. An overview on calibration, combination of methods/data fusion to improve the results will be given.
Lecturer: Dr Ernst Niederleithinger (BAM)

Probability of Detection (PoD), Receiver Operating Characteristic (ROC)

How to connect parameters from NDT and monitoring to reliability and probability assessment? Studies on structural reliability or asset management are based more and more on risk assessment. To include NDT and monitoring data into this framework, their reliability must be known. The basic tools to do so, probability of detection and receiver operating characteristic curves will be explained.
Lecturer: Dr Ernst Niederleithinger (BAM)

Demonstrations and exercises on monitoring and auscultation

Group on Fibre Optics: How to size a crack ?

The advantages of fibre optics to monitor temperature and deformation as well as crack opening will be illustrated through various on-site and laboratory experiments. Knowledge and understanding of the transfer function required to recover quantitative information about crack opening will be provided. A lab demonstration will be carried out.
Lecturer: Dr Xavier Chapeleau (Ifsttar)

Group on CWI: Coda wave interferometry a new very sensitive monitoring tool for concrete.

The scattering and reverberation of ultrasonic waves in concrete structure, often viewed as noise in conventional NDT/SHM, is shown here to be of great value to get information on early age damages invisible otherwise. The participants will get to know the basic of CWI signal processing as well as a description about the present state of the art of experimental set-ups with embedded or external sensors. Environmental bias will be highlighted and ways to remove them addressed. The participants will process of the data from a controlled experiment on a beam under loading test.

Structural and action models

Code calibration, probabilistic material and load modeling

Lectures and exercises by Franziska Schmidt (Ifsttar) and Jochen Köhler (NTNU).

Reliability, risk and decision analyses

Uncertainty and structural reliability assessment

The lecture of uncertainty and structural reliability assessment contains the fundamentals of uncertainty modelling in civil engineering and the methods of structural reliability and structural system reliability analysis. The uncertainty modelling provides the types of uncertainties and the approaches to model these in a structural reliability analysis. Methods for structural reliability analyses like Monte Carlo Simulation and FORM are introduced and their application in a structural system reliability analysis is demonstrated.
Lecturer: Prof. John Dalsgaard Sørensen (AAU)

Decision and structural information analyses

The lecture on decision and structural information analyses provides a summary on decision scenario development, decision modelling and analysis methods encompassing prior, pre-posterior, posterior decision and value of information analysis in the context of structural health information for civil engineering structures. Building upon the structural reliability methods and uncertainty modelling methods, the lecture provides models for structural health information and actions such as non-destructive testing results, monitoring, load testing, load control and repair.
Lecturer: Assoc. Prof. Sebastian Thöns (DTU)