Burcu GÜLDÜR ERKAL, Ph.D.
Associate Professor
Department of Civil Engineering
Hacettepe University
Beytepe, Ankara, Turkey, 06800
burcuguldur@hacettepe.edu.tr
TÜBİTAK - 217M513
3D scanner-based Imperfection
Determination of Cold-formed Steel Members for Numerical Modelling
Abstract
Low-to-mid-rise
structures comprise a vast majority of the world’s building stock.
Among this inventory, cold-formed steel (CFS) construction provides
efficient, affordable, and resilient building systems that has risen
to meet both domestic and international demands. Chief among the
advantages of cold-formed construction are high strength-to-weight
ratio (increased structural efficiency and economy in production,
transportation, and handling by reducing labor costs and worker
fatigue); weather and rot-resistant galvanized members; and rapid
construction due to repetitive framing and modular-style walls. The
later has recently opened the door to prefabricated construction –
notably allowing complete structural systems to be erected within a
few weeks for even mid-rise buildings. The prefabricated CFS
construction is especially important since many of our existing
structures is prone to natural disasters such as earthquakes. Thus,
an extreme event may result in immediate need for robust recovery
strategies. At the same time, the unexpected inclination in
migration due to increasing asylum applications, which arises the
need of rapid, temporary and/or permanent housing solutions, is
another area for which the CFS construction offers a potent
solution. The CFS research has evolved significantly during the last
two decades. However, when compared with the traditional
construction steel (hot-rolled steel) research, which is nearly
saturated over the last century, there are still many research
questions regarding the numerical modelling and the seismic
performance of CFS low-rise buildings that haven’t been exhausted
yet. Currently, the capability of Finite Element (FE) methods, which
are frequently used for performing numerical analysis, to predict
the physical response of CFS members is fully dependent on input
selection. In order to investigate this topic further, a research
project, which focuses on enhancing the numerical modelling
methodologies by fully representing CFS members’ geometric
imperfections (that are captured via 3D laser scanners) within the
numerical model, is proposed. Finally, a set of guidelines for the
numerical modelling of geometric imperfections of CFS members will
be developed.
Announcements
| Sept 20, 2022 |
- Initial outcomes of the TÜBİTAK - 217M513 project will
be presented in CFSRC Colloquium
2022 with a presentation titled "Determination of
Geometric Imperfections via 3D Data Processing".
|
| July 19, 2022 |
- Second research paper associated with the TÜBİTAK -
217M513 project is accepted for publication. "Nokta
bulutları kullanılarak hafif çelik elemanlardaki
şekilsel kusurların doğru tespit edilmesi ve
boyutlandırılması (Accurate geometric imperfection
detection and quantification of cold-formed steel
members from point clouds)," will be published in Journal
of Gazi University Faculty of Engineering and
Architecture.
|
| July 2, 2022 |
- First research paper associated with the TÜBİTAK -
217M513 project is now available. "Automated Geometric
Imperfection Detection and Quantification of CFS Members
from Point Clouds," is published in KSCE
Journal of Civil Engineering. Read here: https://rdcu.be/cQOZK
|
| Sept 6, 2021 |
- Project data that includes CFS point clouds and test
data is available upon request. Please contact
burcuguldur@hacettepe.edu.tr for more information.
|
| June 01, 2021 |
- Project is completed on May 31st, 2021.
|