Marek Kokot, Ph.D., Eng.

Doctoral thesis
2011-06-30Damage identification in electrical network for structural health monitoring 
supervisor -- Prof. Jan Holnicki-Szulc, Ph.D., Dr. Habil., Eng., IPPT PAN
Recent publications
1.Kokot M., Holnicki-Szulc J., Defect identification in electrical circuits via the virtual distortion method. Part 1: steady-state case, JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, ISSN: 1045-389X, DOI: 10.1177/1045389X09337169, Vol.20, No.12, pp.1465-1473, 2009

Virtual Distortion Method, a numerical technique originally developed and applied to various optimization problems in structural mechanics, is adapted to DC/AC circuit analysis. Electro-mechanical analogies with discrete models of plain truss structures are utilized to introduce and implement the main concepts of the method. Simulation of conductance modifications in circuit elements by the equivalent set of virtual sources is a foundation of numerically effective algorithms enabling fast re-analysis and sensitivity analysis. Inverse problem of defect identification is discussed and solution based on distortion approach is provided.


optimization, embedded intelligence, structural health monitoring

Holnicki-Szulc J.-IPPT PAN
2.Kokot M., Holnicki-Szulc J., Health monitoring of electric circuits, KEY ENGINEERING MATERIALS, ISSN: 1662-9795, DOI: 10.4028/, Vol.293-294, pp.669-676, 2005

A methodology of defect identification in linear DC circuits based on so called Virtual Distortion Method (VDM) will be presented. The proposed approach takes adventage of the analogy linking mechanical models of truss structures and electric circuits. In this paper we cover the issue of modelling defects in electric circuits by compatible state of distortions, next we introduce the concept of influence matrix Dij, which describes global sensitivity of the circuit and enables fast recalculation of system response, and we formulate a gradient method of defect identification (inverse problem) based on local current and voltage measurements. In the following analysis we focus on so-called impotent states of distortions, which are the source of ambiguity of solution. We show that these difficulties can be overcome by a proper measuring strategy.


Defect Identification, Electric Circuits Monitoring, Inverse Problem

Kokot M.-other affiliation
Holnicki-Szulc J.-IPPT PAN

List of chapters in recent monographs
Holnicki-Szulc J., Kokot M., Kołakowski P., Monitorowanie obciążeń i stanu technicznego konstrukcji mostowych, rozdział: System identyfikacji spękań w konstrukcjach betonowy, IPPT Reports on Fundamental Technological Research, pp.160-188, 2014
Kołakowski P., Świercz A., Orłowska A., Kokot M., Holnicki-Szulc J., Smart technologies for safety engineering, rozdział: VDM-Based health monitoring of engineering systems, Wiley, Holnicki-Szulc J. (Ed.), pp.37-103, 2008

Conference papers
1.Olaszek P., Świercz A., Sala D., Kokot M., System monitorowania łukowego wiaduktu kolejowego na linii wysokiej prędkości, WDM'17, WROCŁAWSKIE DNI MOSTOWE - Mosty. Przemiany w projektowaniu i technologiach budowy, 2017-11-28/11-29, Wrocław (PL), pp.481-488, 2017

The article presents the railway bridge structures monitoring system, which takes advantage of the
dynamic response measurement and evaluation method. The monitoring system is focused on steel
structures with the spans exceeding 30 m. The elaboration of the method which uses inclinometers
together with an accelerometer for indirect displacement measurement under the dynamic load is the
main achievement of the project.


monitoring, railway bridges, inclinometer, accelerometer

Olaszek P.-Instytut Badawczy Dróg i Mostów (PL)
Świercz A.-IPPT PAN
Sala D.-other affiliation
Kokot M.-other affiliation