KTMM Seminar: Structural Health Monitoring based on iFEM Methodology

Merhabalar, 

01 Mart Çarşamba, 13:40-14:30 saatleri arasında Teknopark Kompozit Araştırma Merkezinde, Adnan Kefal "Structural Health Monitoring based on iFEM Methodology" başlıklı seminer verecektir.

Sabancı Üniversitesi -Teknopark Gidiş 

Teknopark- Sabancı Üniversitesi 

Araç Hareket Alanı : KTMM Binası Önü  

Speaker:         Adnan KEFAL

Title:               Structural Health Monitoring based on iFEM Methodology 

Date/Time:      Wednesday, MARCH 01, 2017  13:40 – 14:30

Place:             Teknopark- KTMM

Abstract: 

Structural health monitoring (SHM) is an interdisciplinary technology that provides accurate, real-time information concerning structural condition and performance. A key component of SHM is real-time computation of structural deformations and stress states (known as shape and stress sensing) that can be achieved using a network of in-situ strain sensors aided by a suitable mechanics-based computational algorithm. One of the most robust and general algorithms for this purpose is known as the inverse finite element method (iFEM).

This seminar deals with the development of novel iFEM algorithms for better SHM of general engineering structures. Firstly, a new four-node quadrilateral inverse-shell element, iQS4, which further extends the practical utility of iFEM for shape sensing of large-scale structures will be presented. Secondly, an innovative “isogeometric iFEM formulation” that couples the concept of isogeometric analysis with iFEM methodology will be described for shape sensing of curved shell structures. Thirdly, a novel iFEM formulation that incorporates the kinematics of the refined zigzag theory will be demonstrated for dealing with shape and stress sensing of multilayered composite and sandwich plate/shell structures. 

The main advantages of these iFEM frameworks are that (1) they don’t require any loading and/or material information for shape sensing, (2) they are generally applicable to any type of structural topology and boundary condition, and (3) they require only low-fidelity discretization with few strain sensors. Overall, all presented iFEM frameworks are computationally efficient, accurate, and powerful, hence they can allow high accurate shape sensing and SHM of general engineering structures. 

Biograph: 

Dr Adnan Kefal has recently completed a PhD in structural health monitoring of marine structures at the University of Strathclyde, Glasgow, UK. He obtained the BSc from Naval Architecture and Marine Engineering Department at Istanbul Technical University. He also studied in Ship Science at University of Southampton for one year. His work experience involves various research projects funded by the European Union. Moreover, he recently visited NASA Langley Research Centre in Virginia, United States for a collaborative study on mechanics of laminated composite and sandwich materials. His main research interests involve structural health monitoring, iFEM methodology, composite structures, fluid-structure interaction, and large-scale structures.