This is the presentation prepared accordingly to the full paper provided with my ID.

1. STRUCTURAL HEALTH
MONITORING
M. Mayur
S.I.E.T.K
Puttur.

2. Contents:
 Definition…
 What is SHM?
 Pattern of SHM
 Importance of SHM
 Components
 Conclusion.

3. Structure:

5. Types:

6. Damages Due to:
 mismanagement in construction,
 lack of quality in control,
 temperature conditions……
 Damages such as surface cracks, segregation,
settlements etc…

8. Damage:
 Changes in:
 geometric properties ,
 boundary conditions ,
 system connectivity…
which adversely affect the structure’s
performance.

9. What should we do?

10. In 19th Century:
 rail road wheel tappers - used the sound of a
hammer when striked against the wheel of
train to detect the damage.
 In rotating machinery, vibration monitoring
is used as performance evaluation technique.

11.  Then, these techniques are utilized to detect
the damages in the structure, and then a new
field emerged namely Structural Health
Monitoring.

12. What is Structural Health
Monitoring?
 The process of implementing a damage
detection and characterization strategy for
engineering structures is referred as
Structural Health Monitoring.
(in short…)

14. Pattern of SHM:
 Operational Evaluation,
 Data Acquisition and Cleansing,
 Feature Extraction & Data Compression, and
 Statistical Model Development for Feature
Discrimination

15. Operational Evaluation:
 Under which operations, the structure
services and damage.
 Life safety and economic justification for
performing SHM.
 Limitations of acquiring data in SHM.

16. Data Acquisition:
 This parts deals with:
 number of sensors,
 types of sensors,
 selecting their excitation methods &
 data storage techniques.

17. Data Normalization:
 separating changes in sensor readings from
damage to those caused by varying
operational & environmental conditions.

18. Feature Extraction:
 Feature extraction gives the technical
literature to distinguish between damaged and
non damaged items of buildings.

19. Statistical Model
Development:
 Statistical Model Development is used for
determining damaged and undamaged
structures.

20. Importance of SHM:
 SHM improves - safety & functionality of
structures.
 Monitoring - develop innovative design
methodologies - timely warning of impending
failures.
 Structural condition monitoring and assessment
are required for timely and cost-effective
maintenance.

21.  Embedment of sensors during construction
and measurement of structural responses
during service will enable condition
assessment and remaining life estimation
easy and convenient
 Monitoring scheme helps to gather data on
the realistic performance of the structures,
which in turn will help to design better
structures for the future.

22. Saptha Suthras:
 All materials have inherent laws or defects
 The assessment of damage requires a comparison
between two system states
 Identifying the damage differs than the type and
vulnerability of the damage, which requires skill.

23.  Sensors cannot measure damage. Feature extraction
and statistical classification is required to convert
sensor data to damage information.
 Damage information depends upon the intelligence of
sensor’s feature extraction.

24.  There is a trade-off between the sensitivity to
damage of an algorithm and its noise
rejection capability.
 DS α 1/RE
(damage size) α (1/ frequency range of
excitation)

25. Components:
 Structure
 Sensors
 Data acquisition systems
 Data management
 Data transfer
 Data interpretation and diagnosis

26. Why SHM?

27. Sensors:
 Sensors measure the physical quantity of damage and
sends it to computer.
Good Sensor :
 Is sensitive to the measured property
 Isinsensitive to any other property likely to be
encountered in its application
 Does not influence the measured property.

28. DA systems:
 Data acquisition is the process of sampling signals
that converts the resulting samples into digital
numeric values.
 Sensors
 Signal conditioning circuitry
 Analog-to-digital converters

29.  Data management system manipulates the
management of data obtained from sensors.
 Data transfer systems are used to transfer the
data to systems which help in predicting the
failures of structures.

35. SHM monitoring for a dam in China:

36. Conclusion:
 There is always no particular
conclusion for any technology
related concept.
 But, this concept ends with
conclusion with that even structures
have life and we (civil engineers)
are here to protect it from various
diseases.

37. Thank
you...