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Structural and Civil Engineering Research
June 06-07, 2019 | Paris, France
Page 20 Research & Reviews: Journal of Engineering and Technology
ISSN: 2319-9873 Civil Engineering 2019
International Conference on
The current deteriorated health of infrastructures is very alarming. We do
not have resources to replace them. One attractive economic option is
to inspect them and make appropriate maintenance decision in terms of do
nothing, inspect more frequently, repair, or replace them at the earliest possible
time. The urgency and seriousness of the problem attracted multidisciplinary
research interests. The author identified the problem in the early nineties and
proposed non-destructive inspection-based procedures to assess structural
health at the local element level. The research team of the author decided
to represent structures by finite elements. They used system-identification
based numerical approach to identify the properties of the finite elements by
measuring the dynamic responses in time domain caused by ambient or any
other formof dynamic excitation. Since it may not be possible to instrument the
whole structure, the response information may be measure at a small part of
the structure. Themeasured responses are expected to be noise-contaminated
even when measured by smart sensors. In field condition, measuring dynamic
excitation information can be very costly and noise-prone. The implementation
potential of the inspection is expected to be significantly improved, if the
structure can be identified without measuring the excitation information. The
basic challenge is to identify a structural system using only minimum number
of noise-contaminated responses. Then by tracking mainly the stiffness
property of the finite elements, the health of the structure at the element level
in terms of number, location(s), and severity can be assessed. To satisfy these
objectives, the research teamdecided to use the basic Kalman filter (KF)-based
procedure but modified it significantly by using a two-stage concept. The team
proposed several novel concepts including Extended and Unscented Kalman
filter approaches.
Structural health assessment and
monitoring: a global outlook
Achintya Haldar
University of Arizona, USA
Biography
Achintya Haldar completed his PhD from University
of Illinois. He worked for Bechtel Power Corporation
after graduation. After returning to academic career,
he taught at Illinois Institute of Technology, Georgia
Tech, and now at the University of Arizona. He is a
Distinguished Member of ASCE and a Fellow of SEI.
He received Presidential award from President Rea-
gan and NSF. Recently, he proposed a novel tech-
nique todesignmoredamage-tolerantstructuresex-
cited by dynamic loadings (earthquake, wind, wave,
thermo-mechanical loading in electronic packaging
used in computer chips, etc.) by conducting multiple
deterministic analyses. Earlier, he developed the Sto-
chastic Finite Element Method and many reliability
evaluation concepts applicable to many engineering
disciplines. His most recent research is on structural
health assessment. He proposed several Kalman fil-
ter-based concepts. He received numerous research
and teaching awards listed at haldar.faculty.arizona.
edu. He authored over 600 technical articles includ-
ing several well accepted books.
Achintya Haldar, JET 2019, Volume:8