Multisensing monitoring for structural health monitoring of the Gravina bridge (Italy)

Vincenzo Serlenga; Maria Rosaria Gallipoli; Rocco Ditommaso; Felice C. Ponzo; Tragni Nicola; Angela Perrone; Tony Alfredo Stabile; Giuseppe Calamita; Luigi Vignola; Raffaele Franco Carso; Domenico Pietrapertosa; Vincenzo Lapenna

doi:10.1117/12.2595352

20 June 2021 Multisensing monitoring for structural health monitoring of the Gravina bridge (Italy)

Vincenzo Serlenga, Maria Rosaria Gallipoli, Rocco Ditommaso, Felice C. Ponzo, Tragni Nicola, Angela Perrone, Tony Alfredo Stabile, Giuseppe Calamita, Luigi Vignola, Raffaele Franco Carso, Domenico Pietrapertosa, Vincenzo Lapenna

Author Affiliations +

Proceedings Volume 11785, Multimodal Sensing and Artificial Intelligence: Technologies and Applications II; 1178504 (2021) https://doi.org/10.1117/12.2595352
Event: SPIE Optical Metrology, 2021, Online Only

Abstract

In the framework of the non-destructive structural health monitoring we have developed an innovative combination of remote and in situ geophysical techniques aimed at assessing the structural properties of the infrastructure (i.e. eigenfrequencies, equivalent viscous damping factors and related modal shapes) and its interactions with foundation soils both in static and dynamic conditions. We have applied and validated this approach on the Gravina bridge, a bow-string bridge located on outcropping calcarenites in the city of Matera (Southern Italy) that develops for 144 m along a single-span steel-concrete deck. The non-invasive, non-destructive and cost-effective seismic and electromagnetic techniques have been fine-tuned for a multi-sensing monitoring at a multi-scale and multi-depth levels (i.e. with different degrees of spatial resolution and different soil subsurface depths). The foundation soil characteristics have been evaluated by means of three high-resolution geo-electrical tomographies, one bi-dimensional seismic array processed through Extended Spatial Auto Correlation (ESAC) and two single station seismic noise measurements analyzed by means of Horizontal to Vertical Noise Spectral Ratio (HVNSR). The main structural characteristics of the bridge have been estimated through permanent and on-demand monitoring by using seismic and electromagnetic sensing. The great potential of this approach concerns the synergy, correlation and integration of different geophysical sensing to determine the main static and dynamic structures/infrastructures parameters and their interaction with soil. Moreover, the convergence of results obtained by different technologies and independent data sets constitutes a validation procedure of the presented approach.

Conference Presentation

Citation Download Citation

Vincenzo Serlenga, Maria Rosaria Gallipoli, Rocco Ditommaso, Felice C. Ponzo, Tragni Nicola, Angela Perrone, Tony Alfredo Stabile, Giuseppe Calamita, Luigi Vignola, Raffaele Franco Carso, Domenico Pietrapertosa, and Vincenzo Lapenna "Multisensing monitoring for structural health monitoring of the Gravina bridge (Italy)", Proc. SPIE 11785, Multimodal Sensing and Artificial Intelligence: Technologies and Applications II, 1178504 (20 June 2021); https://doi.org/10.1117/12.2595352

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Bridges

Structural health monitoring

Electromagnetism

Nondestructive evaluation

Array processing

Seismic sensors

Soil science

Show All Keywords

Keywords/Phrases

Search In:

Publication Years