SPECIAL SESSIONS

If you would like to organize a special session, please send an email to pir3@pitt.edu by 30 September 2019.

CONFIRMED SESSIONS

Session #

Title

Organizer 1

Organizer 2

Contact 1

Contact 2

1 Seismic structural health monitoring for civil structures Dr. Maria Pina Limongelli
(Politecnico di Milano, Italy)
Dr. Mehmet Celebi (Earthquake Science Center, USGS, Menlo Park, CA, USA) mariagiuseppina.limongelli@polimi.it celebi@usgs.gov
2 SHM in Wind Turbine Technology Dr. Wieslaw Ostachowicz
(Polish Academy of Sciences, Poland)
wieslaw@imp.gda.pl
3 Nonlinear Ultrasonic Guided Wave Methods for SHM Dr. Nitesh Yelve
(Fr. C. Rodrigues Institute of Technology, Mumbai, India)
niteshyelve@fcrit.ac.in

Seismic structural health monitoring for civil structures

Dr. Maria Pina Limongelli (Politecnico di Milano, Italy)
Dr. Mehmet Celebi (Earthquake Science Center, USGS, Menlo Park, CA)

 

During the last two decades, due to a need and a growing interest by both researchers and professional, seismic structural health monitoring (SHM) has evolved. Numerous monitoring systems installed in structures in various seismic prone countries utilize real-time or near-real-time responses recorded during strong earthquakes to make informed decisions related to the health of their structures . These data have a strategic importance both for the advancement of knowledge on the behavior and performance of structures under strong seismic actions and for the calibration of realistic and reliable numerical models that are aimed to reproduce the structural behavior and to formulate a diagnosis about possible damages. Furthermore, the possibility to assess the seismic vulnerability based on data recorded on the monitored structure opens new avenues in maintenance policies, shifting from a traditional ‘scheduled maintenance’ to a ‘condition-based maintenance’, carried out ‘on demand’ or ‘automatically’, basing on the current structural condition. The aim of this Special Session is to report recent advances in this field and successful applications for civil structures and infrastructures: buildings, bridges, historical structures, dams, wind turbines, pipelines. The session deals with theoretical and computational issues and applications and welcomes contributions that cover, but are not limited to, seismic SHM algorithms for identification and damage detection, requisite strong motion arrays and real time monitoring systems and projects, instrumentation and measurements methods and tools, optimal sensors location, experimental tests, integration of seismic SHM in procedures for risk assessment and emergency management.

Such a session will provide a venue for exchange of information to ongoing developments and assess successes and limited successes of SHM.


 

Nonlinear Ultrasonic Guided Wave Methods for SHM

Dr. Nitesh P. Yelve, PhD (Fr. C. Rodrigues Institute of Technology, Vashi Navi, Mumbai, India)

 

Ultrasonic guided waves can travel a long distance without much attenuation and thus, they can scan relatively larger area. Their interaction with small breathing damages, such as closed crack and delamination, produces different nonlinear effects based on the method of interrogating the specimen. These nonlinear effects include higher harmonics, subharmonics, mixed frequency response, and change in resonance frequency. Nonlinear ultrasonic guided wave methods are not only capable of detecting macro damages but also micro damages as small as grains in the material. These techniques can be effectively used for characterizing the materials in order to understand the quality of material produced or being used in an application. The range of application of these methods is large which include SHM of planar structures used in aircrafts, automobiles, power plants, etc. and elongated structures such as rails, pipes, ropes, etc.

A considerable pioneering laboratory work has happened in this domain. The researcher are now working in this domain with the practical perspectives. The objectives include development of:

  • Effective algorithms for damage localization,
  • Energy efficient transducers for actuating and sensing the waves,
  • Damage indices specific to the type of wave used,
  • Techniques for interrogating planar and elongated structures with extended projections/stiffeners,
  • Signal processors with integrated Internet of Things,
  • On-board/insitu damage detection kits, etc.