Dr Piotr Omenzetter

Dr Piotr Omenzetter

Senior Lecturer

Overview
Dr Piotr Omenzetter
Dr Piotr Omenzetter

Contact Details

Telephone
work +44 (0)1224 272529
Email

Biography

Piotr graduated with a ME from Technical University of Gdansk, Poland. He then obtained his PhD from The University of Tokyo, Japan for a study on aerodynamics of long span bridges. Piotr later stayed on in Asia working as a postdoctoral researcher at The University of Tokyo and Nanyang Technological University, Singapore. It was then that he developed strong interest in dynamic testing and structural health monitoring, which remain the main thrusts of his research activities. He then worked as a lecturer at The University of Auckland, New Zealand, and moved subsequently to The University of Aberdeen’s Lloyd’s Register Foundation Centre for Safety and Reliability Engineering.

Research

Research Interests

  • Wind turbines, off-shore and subsea structures, bridges, buildings, floors.
  • Structural health, condition and performance monitoring and damage detection (instrumentation of full scale structures and systems, methods of data analysis and interpretation, optimal data collection, quantifying the value of monitoring information).
  • Theoretical and experimental structural dynamics (full scale dynamic testing, system identification, model updating, fluid-structure interaction, soil-structure interaction, vehicle-structure interaction, human induced vibrations, numerical methods).
  • Reliability analysis.
  • Engineering decision making under uncertain conditions.
  • Quantitative risk assessment (off-shore and subsea structures and systems, wind turbines, bridges and transportation systems).
  • Asset structural integrity management (off-shore and subsea structures and systems, wind turbines, bridges and transportation systems)
  • Engineering optimisation (wind farms).
  • Earthquake engineering (full scale instrumentation, damage prediction and detection).
  • Artificial intelligence and signal processing (big data, deep learning, data analytics, time series analysis, evolutionary computation algorithms, neural networks, wavelets).
  • Structural control and smart structures (wind farms, bridges).
Teaching

Teaching Responsibilities

EG5056 Structural Dynamics 2

EG5559 Structural Dynamics (MSc Oil & Gas Structural Engineering)

EG551A Reassessment of Existing Structures by Structural Relibility Analysis  (MSc Oil & Gas Structural Engineering)

EG5565 MEng Group Design

Further Info

External Responsibilities

Reviewer:

Computer Aided Civil and Infrastructure Engineering (on the journal’s roster of conscientious reviewers for quality of reviews)

Mechanical Systems and Signal Processing

Smart Materials and Structures

Journal of Fluids and Structures

Journal of Intelligent Material Systems and Structures

Applied Mathematical Modelling

International Journal of Mechanical Sciences

Earthquake Engineering and Structural Dynamics

Automation in Construction

Journal of Sound and Vibration

Engineering Structures

Structural Health Monitoring

Journal of Wind Engineering and Industrial Aerodynamics

Journal of Computing in Civil Engineering, ASCE

Bulletin of Earthquake Engineering

Journal of Engineering Mechanics, ASCE

Journal of Strain Analysis for Engineering Design

Earthquake Spectra

The Structural Design of Tall and Special Buildings

Structure and Infrastructure Engineering

Journal of Bridge Engineering, ASCE

Structural Engineering and Mechanics

Journal of Applied Mathematics

Journal of Infrastructure Systems

Advances in Structural Engineering

Experimental Techniques

IBM Journal of Research and Development

Journal of Civil Structural Health Monitoring

Australasian Journal of Engineering Education

Advances in Civil Engineering

Bulletin of the New Zealand Society of Earthquake Engineering

Publications

Publications 

Currently viewing:

Page 1 of 17 Results 1 to 10 of 170

  • Omenzetter, P, Moyo, P & Brownjohn, JMW 2018, 'A case study in quantifying the economic benefit of a live strain monitoring campaign for a short-span pre-stressed concrete bridge', Paper presented at 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom, 10/07/18 - 13/07/18. <> [Online] DOI: https://www.ndt.net/search/docs.php3?showForm=off&id=23292
  • Bayik, B, Omenzetter, P, van Der A, D & Pavlovskaia, E 2018, 'Comparison of damage sensitivities of autoregressive coefficients and natural frequencies for structural health monitoring of a top tensioned riser', Paper presented at 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom, 10/07/18 - 13/07/18. <> [Online] DOI: https://www.ndt.net/search/docs.php3?showForm=off&id=23300
  • Turnbull, H & Omenzetter, P 2018, Comparison of two optimization algorithms for fuzzy finite element model updating for damage detection in a wind turbine blade. in Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII. vol. 10599, 105991Q, Proceedings of SPIE, SPIE, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII 2018, Denver, United States, 5/03/18. [Online] DOI: https://doi.org/10.1117/12.2295314
  • Turnbull, H & Omenzetter, P 2018, 'Damage severity assessment of a laboratory wind turbine blade using virus optimisation algorithm', Paper presented at 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom, 10/07/18 - 13/07/18. <> [Online] DOI: https://www.ndt.net/search/docs.php3?showForm=off&id=23278
  • Dunbar, D, Bayik, B, Omenzetter, P & Van Der A, D 2018, Experimental ambient vibration-based structural health monitoring in top-tensioned risers. in Smart Materials and Nondestructive Evaluation for Energy Systems IV. vol. 10601, 1060107, SPIE, Smart Materials and Nondestructive Evaluation for Energy Systems IV 2018, Denver, United States, 5/03/18. [Online] DOI: https://doi.org/10.1117/12.2294492
  • Omenzetter, P 2018, On the value of information for Industry 4.0. in Smart Structures and NDE for Industry 4.0. vol. 10602, 1060204, Proceedings of SPIE, SPIE, Smart Structures and NDE for Industry 4.0 2018, Denver, United States, 5/03/18. [Online] DOI: https://doi.org/10.1117/12.2294490
  • Hoell, S & Omenzetter, P 2018, 'Sequential projection pursuit for optimized vibration-based damage detection in an experimental wind turbine blade', Smart Materials & Structures, vol. 27, no. 2, 025007, pp. 1-9. [Online] DOI: https://doi.org/10.1088/1361-665X/aa9f8e
  • Omenzetter, P 2017, A framework for quantifying and optimizing the value of seismic monitoring of infrastructure. in HF Wu, AL Gyekenyesi, PJ Shull & T-Y Yu (eds), Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. vol. 10169, 101691A, SPIE, Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017, Portland, United States, 26/03/17. [Online] DOI: https://doi.org/10.1117/12.2258218
  • Turnbull, H & Omenzetter, P 2017, Damage severity assessment in wind turbine blade laboratory model through fuzzy finite element model updating. in HF Wu, AL Gyekenyesi, PJ Shull & T-Y Yu (eds), Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. vol. 10169, 101692E, Proceedings of SPIE, vol. 10169, SPIE, Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017, Portland, United States, 26/03/17. [Online] DOI: https://doi.org/10.1117/12.2257917
  • Hoell, S & Omenzetter, P 2017, 'Fukunaga-Koontz feature transformation for statistical structural damage detection and hierarchical neuro-fuzzy damage localisation', Journal of Sound and Vibration, vol. 400, pp. 329-353. [Online] DOI: https://doi.org/10.1016/j.jsv.2017.03.048
Show 10 | 25 | 50 | 100 results per page