Maciej Radzieński

Associate Professor of IMP PAN

Polska Akademia Nauk Instytut Fizyki

Poland

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About

Maciej Radzieński is an Associate Professor at the Instytut Maszyn Przepływowych im Roberta Szewalskiego Polskiej Akademii Nauk in Poland. His research focuses on advanced methodologies for damage localization and detection in materials, utilizing guided wave sensing and phononic crystals. Recent publications highlight his work in non-linear feature analysis, imaging of composite delaminations, and the application of deep learning in structural optimization. He is recognized for contributing to the understanding and quantification of defects in engineering structures.

Articles (15)

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2020

Collaborators (5)

Wiesław Ostachowicz

Full Professor / Chairman of Department

Polish Academy of Sciences

POLAND

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Paweł Kudela

Institute of Fluid Flow Machinery, Polish Academy of Sciences

POLAND

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Christian Willberg

Professor (full)

Hochschule Magdeburg-Stendal

GERMANY

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Tomasz Wandowski

Institute of Fluid Flow Machinery

POLAND

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Marco Miniaci

Professionalizing Research grant

University of Bologna

ITALY

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Maciej Radzieński

Research Interests

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Articles (15)

Non-linear feature based damage localization in riveted plates using FBG sensors for guided wave sensing utilizing instantaneous baseline

Imaging delaminations in composite laminates via linear-to-nonlinear steady-state wavefields

The design and testing of an ultrasensitive device with embedded phononic crystals for the detection and localisation of nonlinear guided waves

Enhanced wavefield singularity imaging of diverse defects in plate-type structures

K-means aided broadband ultrasonic guided wavefield processing for damage detection in composite panels

Nonlinear interface forces in “breathing” debondings of laminated beams: From formation mechanism to debonding localization

Global-local damage localization and imaging in beam structures using laser-measured natural frequencies and guided wavefields

Deep learning aided topology optimization of phononic crystals

Spatial domain localization method for multi-damage in plate-like structure based on coefficient matrix of reflected guided waves

A probabilistic approach for quantitative evaluation of fatigue cracks using nonlinear vibration responses

Guided waves based damage localization based on mode filtering using fiber Bragg grating sensors

Shear Strain Singularity-Inspired Identification of Initial Delamination in CFRP Laminates: Multiscale Modulation Filter for Extraction of Damage Features

Dataset on full ultrasonic guided wavefield measurements of a CFRP plate with fully bonded and partially debonded omega stringer

Analysis of Air-Coupled Transducer-Based Elastic Waves Generation in CFRP Plates

Lamb-Wave-Based Method in the Evaluation of Self-Healing Efficiency

Collaborators (5)

Wiesław Ostachowicz

Paweł Kudela

Christian Willberg

Tomasz Wandowski

Marco Miniaci

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