PhD - Learning Activity: Weimar, Germany

Structural Health Monitoring and Computer Vision

June 3rd to 7th, 2019 at Bauhaus-Universität Weimar

The course provides to PhD students a deeper insight in the field of structural health monitoring (SHM) and computer vision (CV). In the course several advanced topics will be presented, which are partly supported by computer simulations and project work. After the course the students shall be able to apply SHM systems and CV techniques.

Content

SHM system design, data management and data analysis
Implementation of wireless sensor networks and embedded systems
Laboratory experiments on test structures using wireless SHM and control systems developed in this course
Modern change detection algorithms, including background modeling, illumination
Invariance, significance and hypothesis testing and predictive models

Time Schedule:


Hours	Monday	Tuesday	Wednesday	Thursday	Friday
	Room: 103	Room: 102	Room: 205	Room: 101	Room: 106
09:15 - 10:45	L. Abrahamczyk (BUW)	K. Smarsly (BUW)	D. Penava (GraFOS)	D. Kollár (BME) V. Rodehorst (BUW)	Preparation of Pres. by Participants
11:00 - 12:30	V. Rodehorst (BUW)	K. Smarsly (BUW)	D. Legatiuk (BUW)	V. Rodehorst (BUW)	Pres. By Participants
Lunch break
13:30 - 15:00	Exercise: V. Rodehorst (BUW)	Exercise: K. Smarsly (BUW)	self-study	Exercise: V. Rodehorst (BUW)	self-study
15:15 - 16:45	Exercise: V. Rodehorst (BUW)	Exercise: K. Smarsly (BUW)	self-study	Exercise: V. Rodehorst (BUW)	self-study
	self study & social events

Lectures and exercises will be held in Marienstr. 7!

L. Abrahamczyk (BUW)

Welcome & course instruction
Instrumentation of structures and event identification

V. Rodehorst (BUW)

Photogrammetric 3D reconstruction (Lecture & Exercise)
Automatic image analysis

K. Smarsly (BUW)

Structural Health Monitoring
Structural Control
Exercise: Wireless sensor networks and embedded computing
Exercise: Structural Control with tuned liquid column dampers

D. Penava (GraFOS)

Dynamic Tests of a Large-Scale Three-Story RC Structure with Masonry Infill Walls

D. Legatiuk (BUW)

Introduction to approximation theory and signal analysis

D. Kollár (BME)

Bridge Monitoring

Pre-requisites

Students should have prior knowledge in structural design of steel and reinforced concrete structures, design of bridges or equivalent courses. Students should be familiar to the Eurocode based design of civil engineering structures, to the basics of structural design and to the basics of finite element method.

Mandatory english language knowledge requirement is Basic user A2 level.

Target group:

PhD students in the fields of civil engineering.

Learning Outcome

Application of SHM and control systems in engineering applications incl. the data management
Implementation of embedded systems (specifically wireless sensor nodes)
Creation of object-oriented models in Java programming environment
Identification of most appropriate computer vision techniques for own initiatives
Working in an international group, practice their management, presentation and language skills and more . . .

ECTS points: 2.0

Format: Lectures & Exercises