Paćko Paweł, prof. dr hab. inż.

WIMiR-ksw Katedra Systemów Wytwarzania

Wydział Inżynierii Mechanicznej i Robotyki

inżynieria mechaniczna

100

pawelp@agh.edu.pl

Habilitacja: Problemy propagacji fal sprężystych w złożonych ośrodkach: teoria, modelowanie numeryczne i aplikacje
Wydział:: AGH Wydział Inżynierii Mechanicznej i Robotyki
Data uchwały Rady Wydziału:: 25.11.2016
Stopień naukowy:: dr hab. nauk technicznych
Dyscyplina:: mechanika
Słowa kluczowe:: fale sprężyste
Uwagi:: Pracę habilitacyjną stanowi cykl 30 publikacji z lat 2013-2015: [1] Paćko P., [et al.] (2015). Numerical simulations of elastic wave propagation using graphical processing units - comparative study of high-performance computing capabilities. Computer Methods in Applied Mechanics and Engineering vol. 290, iss. 15, s. 98–126 ; [2] Gallina A., Packo P., Ambrozinski L. (2013). Advanced structural damage detection: from theory to engineering applications. [W:] Model assisted probability of detection in structural health monitoring, s. 57–72 ; [3] Kijanka P. [et al.] (2013). Temperature effect modelling of piezoceramic transducers used for lamb wave propagation in damage detection applications. [W:] Health monitoring of structural and biological systems 2013 : 11–14 March 2013, San Diego, California, United States, vol. 8695 ; [4] Kijanka P., [et al.] (2013). Gpu-based local interaction simulation approach for simplified temperature effect modelling in lamb wave propagation used for damage detection. Smart Materials and Structures vol. 22, art. no. 035014 ; [5] Kijanka P., [et al.] (2015). Threedimensional temperature effect modelling of piezoceramic transducers used for lamb wave based damage detection. Smart Materials and Structures vol. 24, iss. 6 ; [6] P. Kijanka P. , [et al.] (2015). Lanza di Scalea. Actuation stress modelling of piezoceramic transducers under variable temperature field. Journal of Intelligent Material Systems and Structures ; [7] Gallina A., [et al.] (2015). Bayesian parameter identification of orthotropic composite materials using lamb waves dispersion curves measurement. Journal of Vibration and Control ; [8] Packo P., [et al.] (2013). Elastic constants identification for laminated composites based on lamb waves propagation. [W:] Structural health monitoring 2013: a roadmap to intelligent structures: proceedings of the 9th International Workshop on Structural Health Monitoring: Stanford, September 10–12, vol. 1 ; [9] Ambrozinski L., [et al.] (2015). Identification of material properties – efficient modelling approach based on guided wave propagation and spatial multiple signal classification. Structural Control and Health Monitoring vol. 22, iss. 7, s. 969–983 ; [10] Pieczonka L., [et al.] (2015). Analysis of lamb wave dispersion curve sensitivity to material elastic constants in composites. [W:] SPIE Smart structures NDE 8–12 March 2015 ; [11] Packo P., [et al.] (2014). Generalized semi-analytical finite difference method for dispersion curves calculation and numerical dispersion analysis for lamb waves. Journal of the Acoustical Society of America vol. 136, iss. 3, s. 933–1002 ; [12] Miszczynski M., [et al.] (2015). Structural optimization of a piezoelectric transducer for selective guided wave excitation. [W:] International Workshop on Structural Health Monitoring 2015, Stanford ; [13] Packo P., [et al.] (2015). Perturbation approach to dispersion curves calculation for nonlinear lamb waves. [W:] Proceedings of SPIE Smart Structures NDE, 8-12 March 2015, San Diego, CA, USA ; [14] Kijanka P., [et al.] (2015). Non-classical dissipative model of nonlinear crack-wave interactions used for damage detection. [W:] Health monitoring of structural and biological systems 2015: San Diego, California, United States, March 9–12, 2015, vol. 9438 ; [15] Ziaja A., [et al.] (2015). Thick hollow cylindrical waveguides : a theoretical, numerical and experimental study. Journal of Sound and Vibration vol. 350, s. 73–90 ; [16] Ziaja A., [et al.] (2015). Cylindrical guided wave approach for damage detection in hollow train axles. [W:] International Workshop on Structural Health Monitoring, Stanford ; [17] Packo P. (2013). Advanced structural damage detection: from theory to engineering applications. [W:] Numerical simulation of elastic wave propagation, s. 17–56 ; [18] Leamy M.J., [et al.] (2014). Local computational strategies for predicting wave propagation in nonlinear media. [W:] Health monitoring of structural and biological systems 2014: 10–13 March 2014, San Diego, California, USA, vol. 9064 ; [19] Grabowski K., [et al.] (2015). Distance-domain based localization techniques for acoustic emission sources: a comparative study. [W:] Health monitoring of structural and biological systems 2015: San Diego, California, United States, March 9–12, vol. 9438 ; [20] Rosiek M., [et al.] (2013). Simulations of ultrasonic guided waves with use of combined finite element and finite difference methods. [W:] Recent advances in computational mechanics: proceedings of the 20th international conference on Computer Methods in Mechanics (CMM2013), s. 393–398 ; [21] Packo P., [et al.] (2014). Multifunctional strain sensors based on carbon nanotube nanocomposite. [W:] Selected dynamical problems in mechanical systems : theory and applications in transport, s. 21–31 ; [22] Zbyrad P., [et al.] (2015). Molecular dynamics simulation of piezoelectric materials. [W:] Projektowanie mechatroniczne : zagadnienia wybrane : praca zbiorowa ; [23] Grabowski K., [et al.] (2015). Localization techniques for acoustic emission sources. [W:] Projektowanie mechatroniczne: zagadnienia wybrane: praca zbiorowa, s. 39–51 ; [24] Grabowski K., [et al.] (2015). Optimization of acoustic source localization in large plates. [W:] Structural health monitoring 2015: Proceedings of the 10th international workshop on Structural Health Monitoring: Stanford, September 1-3, 2015 ; [25] Dworakowski Z., [et al.] (2014). Application of artificial neural networks for damage indices classification with the use of lamb waves for the aerospace structures. Key Engineering Materials vol. 588, s. 12–21 ; [26] Dworakowski Z., [et al.] (2015). Application of artificial neural networks for compounding multiple damage indices in lamb-wavebased damage detection. Structural Control and Health Monitoring vol. 22, iss. 1, s. 50–61 ; [27] Mlyniec A., [et al.] (2014). Adaptive de-icing system – numerical simulations and laboratory experimental validation. International Journal of Applied Electromagnetics and Mechanics vol. 46, iss. 4, s. 997–1008 ; [28] Hashemiyan Z., [et al.] (2014). Local interaction simulation approach vs. finite element modelling for fault detection in medical ultrasonic transducers. Key Engineering Materials vol. 588, s. 157-165 ; [29] Hashemiyan Z., [et al.] (2015). Local interaction simulation approach for fault detection in medical ultrasonic transducers. Journal of Sensors, s. 1–12 ; [30] Hashemiyan Z., [et al.] (2014). Shear wave propagation modeling in magnetic resonance elastography using the local interaction simulation approach. [W:] WCCM XI; ECCM V; ECFD VI: 11th World Congress on Computational Mechanics, 5th European Conference on Computational Mechanics: 6th European Conference on Computational Fluid Dynamics.