| Autor: |
Vincenzo Lapenna, Angela Perrone, Vincenzo Serlenga, Felice Carlo Ponzo, Luigi Vignola, Raffaele Franco Carso, Tragni Nicola, Tony Alfredo Stabile, Rocco Ditommaso, Maria Rosaria Gallipoli, Giuseppe Calamita, Domenico Pietrapertosa |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Multimodal Sensing and Artificial Intelligence: Technologies and Applications II. |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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