72783 - Control And Testing Of Structures And Territory M

Academic Year 2019/2020

  • Moduli: Stefano Gandolfi (Modulo 1) Emanuele Mandanici (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Civil Engineering (cod. 0930)

Learning outcomes

With this course the student acquire knowledge concerning advanced methods for high accurate topographical and geodetic survey useful for structures monitoring (buildings), monitoring of infrastructures (bridges and dams) and monitoring of the territory (landslides, subsidence, etc.). In this course the most advanced techniques for geodetic and topographic survey are deeply analysed considering design aspects, data treatment, and statistical analysis. The course is divided in a theoretical part and a practice section. Is also planned a couple of daily visit to dams or monitoring systems.

Course contents

Basic suggested knowledges

Basic on survey

Basic in statistical data analisys and variance/covariance propagation in non-linear multidimensional functions

Course Contents

Elements of Geodesy
Geodetic reference systems and reference frames
- ITRF, EUREF, RDN, IGM95, local geodetic reference frame
National and International geodetic reference networks
- IGM95 – Rete Dinamica Nazionale – IGS
Coordinate systems and their transformation
- geocentric coordinate systems
- geographical coordinates
- Transformation between Geographical Reference frame and local geodetic reference systems
Data analysis
Variance/covariance propagation theory in linear and non linear function.
Adjustment theory: free network, minimal constraint, constrained networks.
Statistical propreties of parameter estimation in Adjustment theory.
Statistical analysis of movements
Instruments and Methods for geometric levelling, GPS (static, kinematic and Real time)
Network for Real time Kinematics
Principle on Airborne Laser Scanner
Practice:
static GNSS survey and data processing
Kinematic GNSS survey and data processing
Geometric Levelling survey and data processing
GNSS-RTK(NRTK) survey and data analysis

Readings/Bibliography

The teacher upload the personal notes on the AMS Campus Web pages.

Teaching methods

The course is composed by frontal lessons, practice (outdoor and in laboratory) and a couple of educational trips.

In particular the course is generally composed by:

  • 60% of frontal lessons
  • 25% of practice (outdoor and in laboratory)
  • 15% of educational trips

Assessment methods

The exam consist in a oral discussion that start from a real case of structure monitoring or land monitoring.

Will be analized the topographic survey techniques, survey methodologies and capability to detect a movement starting from the design of monitoring system.

The evaluation will be based on different aspect related to:

1) capability to identify the best methods and instrumentations for the case study

2) Knowledge of the methods and tecniques usefull for the case study

3) Capability to apply statistical tests for minimum movement detection.

4) Capability to estimate the real accuracy obtained by a topographical survey using the statistical law of the variance/covariance propagation in non linear multidimensional functions

Teaching tools

In order to support the classical frontal lessons in the classroom, some practical exercises will be performed both in outdoors and in the laboratory. Moreover some guided tours will be perfomed.

In particular:

Practices (outdoor)

  • Survey of a small network using spirit leveling.
  • Survey of a geodetic network using GPS static approach.
  • RTK and NRTK survey practice

Data analysis (laboratory)

Data Processing of the acquired data during the practices (in outdoor)

Guided Tours Dams:

  • Ridracoli
  • Bilancino

During the practices very high precision surveying instruments will be provided. Laboratory are equipped with specific software packages for dataprocessing and analysis of data

Office hours

See the website of Stefano Gandolfi

See the website of Emanuele Mandanici