A methodology for the evaluation of performance and damage of RCC dams under dynamic seismic actions

López, Alfonsa García; González, D. Porras Navarro; Rocha, Luis Eduardo Pérez

doi:10.1201/9781315375175-301

Cited by 13 publications

(5 citation statements)

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“…Indeed, the retrieved values for δ VEL and δ TS are comparable with the values (1 mm/year and 5 mm) obtained by previous authors using the C-band sensors [56]. Whereas, a higher accuracy was detected using X-band sensors (0.5-01 mm/year and 1 mm) by other authors [57,58]. Figure 2 for the GNSS stations location.…”

Section: Displacement Time Series and Average Velocity Accuracy Assessupporting

confidence: 84%

A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

et al. 2018

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This paper presents a methodology to exploit the Persistent Scatterer Interferometry (PSI) time series acquired by Sentinel-1 sensors for the detection and characterization of uplift phenomena in urban areas. The methodology has been applied to the Tower Hamlets Council area of London (United Kingdom) using Sentinel-1 data covering the period 2015-2017. The test area is a representative high-urbanized site affected by geohazards due to natural processes such as compaction of recent deposits, and also anthropogenic causes due to groundwater management and engineering works. The methodology has allowed the detection and characterization of a 5 km 2 area recording average uplift rates of 7 mm/year and a maximum rate of 18 mm/year in the period May 2015-March 2017. Furthermore, the analysis of the Sentinel-1 time series highlights that starting from August 2016 uplift rates began to decrease. A comparison between the uplift rates and urban developments as well as geological, geotechnical, and hydrogeological factors suggests that the ground displacements occur in a particular geological context and are mainly attributed to the swelling of clayey soils. The detected uplift could be attributed to a transient effect of the groundwater rebound after completion of dewatering works for the recent underground constructions.

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Section: Displacement Time Series and Average Velocity Accuracy Assessupporting

confidence: 84%

A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

et al. 2018

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“…The comparison between the damage distribution and the DGV maps shows that the buildings-of masonry type with shallow foundations-located in the landslide-affected area exhibit higher damage severity levels in correspondence of the head, the secondary scarp and the boundaries of the landslide where the highest velocity gradients are recorded and the highest differential settlements may affect buildings located therein (Nicodemo et al 2017b). However, some local anomalies (i.e.…”

Section: Discussionmentioning

confidence: 97%

Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area

et al. 2020

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The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries, type of movement, kinematics and interactions (in terms of damage severity distribution) with the built environment of a roto-translational slow-moving landslide affecting the historic centre of Lungro town (Calabria region, southern Italy). For this purpose, ancillary multi-source data (e.g. geological-geomorphological features and geotechnical properties of geomaterials), both conventional inclinometer monitoring and innovative non-invasive remote sensing (i.e. A-DInSAR) displacement data were jointly analyzed and interpreted to derive the A-DInSAR-geotechnical velocity (DGV) map of the landslide. This result was then cross-compared with detailed information available on the visible effects (i.e. crack pattern and width) on the exposed buildings along with possible conditioning factors to displacement evolution (i.e. remedial works, sub-services, etc.). The full integration of multi-source data available at the slope scale, by maximizing each contribution, provided a comprehensive outline of kinematic-geometric landslide features that were used to investigate the damage distribution and to detect, if any, anomalous locations of damage severity and relative possible causes. This knowledge can be used to manage landslide risk in the short term and, in particular, is propaedeutic to set up an advanced coupled geotechnical-structural model to simulate both the landslide displacements and the behavior of interacting buildings and, therefore, to implement appropriate risk mitigation strategies over medium/long period.

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“…Once the elements at risk are identified and the PSI velocities along the slope (V slope ) are computed, in phase II, a performance level (PL) as well as an intensity parameter are assigned to each exposed element. The former derives from the analysis of the building damage severity levels recorded during in situ surveys; the latter-assumed as the differential settlement () suffered from a given building-is calculated starting from the cumulative settlements derived by PSI data [11], [13], [19]. In phase III, buildings are homogenized based on their structural typology [e.g., reinforced concrete (R.C.)…”

Section: Methodsmentioning

confidence: 99%

Analysis of Damage to Buildings in Urban Centers on Unstable Slopes via TerraSAR-X PSI Data: The Case Study of El Papiol Town (Spain)

Peduto

Nicodemo

Cuevas-Gonzales

et al. 2019

IEEE Geosci. Remote Sensing Lett.

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Persistent Scatterer Interferometry (PSI) data, deriving from the processing of SAR images acquired by highresolution sensors such as TerraSAR-X, provide accurate measurements of displacements affecting structures (e.g., buildings) and linear infrastructure networks (e.g., roads, bridges, embankments, and pipelines). Such widespread displacements, when available on buildings on unstable slopes, offer new perspectives for their integration in procedures pursuing the analysis and the prediction of the physical vulnerability of exposed buildings. In this letter, both deterministic and probabilistic cause (differential settlements)-effects (damage) relationships are generated by using PSI-derived building settlements and the results of building damage surveys. The procedure is applied to El Papiol town (Spain), whose urban area has been suffering diffuse damage of different severity to buildings and roads due to extremely slowmoving landslide phenomena.

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A methodology for the evaluation of performance and damage of RCC dams under dynamic seismic actions

Cited by 13 publications

References 1 publication

A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area

Analysis of Damage to Buildings in Urban Centers on Unstable Slopes via TerraSAR-X PSI Data: The Case Study of El Papiol Town (Spain)

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