Andrey Bulavinov

Dr. Andrey Bulavinov


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Russian Journal of Nondestructive Testing
Verified
Journal Article
Closed access
PDF file
DDDmitry Dolmatov
Dmitry Dolmatov
DSD. A. Sednev
D. A. Sednev
ABAndrey Bulavinov
Andrey Bulavinov
RPR. V. Pinchuk
R. V. Pinchuk
To ensure the high speed of composing synthesized images with matrix antenna arrays, industrial ultrasonic-tomography systems require computationally efficient spatiotemporal...

1 October 2025 in e-Journal of Nondestructive Testing
Verified
Journal Article
Open access
PDF file
HLHausBots LTD
HausBots LTD
JCJack Cornes
Jack Cornes
ERElectricité de France (Edf) R&D
Electricité de France (Edf) R&D
Jean-Marie HénaultJean-Marie Hénault
Jean-Marie Hénault
STSteve Treguier
Steve Treguier
ABAndrey Bulavinov
Andrey Bulavinov
Tall and complex vertical structures, especially reinforced concrete chimney stacks and bridge piers, present challenges for non-destructive testing (NDT) professionals, particularly where internal or subsurface imaging is required and visual inspection is not sufficient. Traditional approaches such as rope access or scaffolding pose logistical, financial, and safety burdens, often limiting the feasibility of thorough inspections. In this paper, we present a collaborative project between HausBots (developers of climbing robotic platforms), ACS (creators of the MIRA ultrasonic tomography system), and EDF (end user and asset owner), which demonstrates the viability of advanced robotic-assisted ultrasonic inspection on vertical concrete infrastructure. A field trial on a large concrete chimney stack at an EDF facility validated the successful integration of ultrasonic tomography with a wall-climbing robot using HausBots’ proprietary AEROGRIPTM adhesion system. The project highlights how robotic inspection platforms can deliver safe, high-resolution, subsurface data from hard-to-access areas without manual intervention or elevated work platforms. This paper offers a detailed review of the methodology, technical integration, field results, and broader implications for the future of infrastructure assessment.