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Paolo Mazzoleni
Researcher at Polytechnic University of Milan
Publications - 18
Citations - 591
Paolo Mazzoleni is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Digital image correlation & Measurement uncertainty. The author has an hindex of 11, co-authored 18 publications receiving 500 citations. Previous affiliations of Paolo Mazzoleni include University of South Carolina & Rolls-Royce Holdings.
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Vibration Monitoring of Multiple Bridge Points by Means of a Unique Vision-Based Measuring System
TL;DR: In this paper, two different types of cameras are used to monitor the response of a bridge to a train pass-by, and the acquired images are analyzed using three different image processing techniques (Pattern Matching, Edge Detection and Digital Image Correlation) and the results are compared with a reference measurement, obtained by a laser interferometer providing single point measurements.
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Identification of Cracking Mechanisms in Scaled FRP Reinforced Concrete Beams using Acoustic Emission
TL;DR: In this article, acoustic emission was used to monitor the cracking mechanisms leading to the failure of scaled concrete beams having Glass Fiber Reinforced Polymer (GFRP) longitudinal reinforcement and no shear reinforcement.
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Gaussian Pre-Filtering for Uncertainty Minimization in Digital Image Correlation Using Numerically-Designed Speckle Patterns
Paolo Mazzoleni,Paolo Mazzoleni,Paolo Mazzoleni,Fabio Matta,Emanuele Zappa,Michael A. Sutton,Alfredo Cigada +6 more
TL;DR: In this article, the effect of pre-processing image blurring on the uncertainty of two-dimensional digital image correlation (DIC) measurements for the specific case of numerically-designed speckle patterns having particles with well-defined and consistent shape, size and spacing was discussed.
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Uncertainty assessment of digital image correlation method in dynamic applications
TL;DR: A systematic uncertainty assessment of DIC method in general dynamic applications and results show good agreement between the experiments and the simulations, proving the introduced technique to be an effective method for motion induced uncertainty estimation.
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Evaluation and improvement of digital image correlation uncertainty in dynamic conditions
TL;DR: This work aims to evaluate and improve DIC uncertainty in dynamic conditions in the case of translating target, and proposes a numerical technique to improve the performances of DIC in dynamic applications.