Follow-up methods for autonomic repairing process

Carlos C. Insaurralde, Pattanathu K. S. M. Rahman, Manu Ramegowda, Chandra M. Vemury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The technical maintenance of civil concrete structures is not really cheap. A way to reduce maintenance-related costs is to have a concrete capable of repairing itself when damaged. This paper presents a cybernetic engineering approach for self-healing in concrete. The approach is inspired by the biological self-healing principle to make self-repairing possible in concrete. It consists of adding biological and chemical agents (bacteria) to concrete mix along with Shape Memory Alloys (SMA) to get an improved self-healing effect. A challenging issues related to this approach is that effective monitoring of the progress of the self-healing process. The main challenge is the diagnosis and even prognosis of the cybernetic concrete health. This paper proposes different testing methods to monitor the self-healing in cybernetic concrete. These methods allow for diagnosis and prognosis of the self-healing process in the above concrete. Experimental results from the above tests carried out in conventional and cybernetic concrete samples are shown. Conclusions and future work are also presented.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4854-4859
Number of pages6
ISBN (Electronic)978-1-5090-1897-0
ISBN (Print)978-1-5090-1898-7
DOIs
Publication statusPublished - 9 Feb 2017
Event2016 IEEE International Conference on Systems, Man, and Cybernetics - Budapest, Hungary
Duration: 9 Oct 201612 Oct 2016

Conference

Conference2016 IEEE International Conference on Systems, Man, and Cybernetics
Abbreviated titleSMC 2016
CountryHungary
CityBudapest
Period9/10/1612/10/16

Keywords

  • Biotechnology
  • Cybernetics
  • Multidisciplinary research projects
  • Self-healing/repearing
  • Smart materials

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