LAMP—LAndslide Monitoring and Predicting for the analysis of landslide susceptibility triggered by rainfall events

Bovolenta, Rossella; Passalacqua, R.; Federici, Bianca; Sguerso, Domenico

doi:10.1201/b21520-55

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…Nondestructive tests are the ones that best fit these features, even though their reliability is not always in the priority list of professional engineers. While the Schmidt hammer, that is one of the simplest NDT methods, strictly pertains to concrete and rocks, noninvasive techniques were proposed and widely applied in many other fields, such as in geophysics and geotechnical investigations [36][37][38]. Due to the ease in these tests and many circumstances that may introduce a bias into the results, the accuracy and reliability of these techniques must be properly discussed.…”

Section: Discussionmentioning

confidence: 99%

Rebound Hammer Test: An Investigation into Its Reliability in Applications on Concrete Structures

Brencich

Bovolenta

Ghiggi

et al. 2020

Advances in Materials Science and Engineering

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The issue of concrete strength often arises in civil engineering practice, either due to quality control of new constructions or due to the assessment of existing structures. To this aim, one of the most widely spread techniques is the rebound hammer (Schmidt hammer) test, for which calibration is still related to the original Schmidt curve dating back to the early 50’s. In spite of the large amount of research work performed in the last decades, the uncertainties of the rebound test are still not clearly quantified and open to further insight. This paper presents and discusses a wide research campaign on laboratory specimens and on third-party specimens delivered to the Laboratory for Building Materials of the University of Genoa, Italy, for standard quality controls. While it is well known that moisture content, surface finishing, and concrete maturity strongly affect the test result, the effect of the stress state has not yet been studied and is found in this research to be a further parameter affecting the test reliability. The final outcome of all the uncertainties is variability in estimated concrete strength as large as ±70%; additionally, some issues are discussed on the intrinsic uncertainty of this test. As already demonstrated by many authors, the results of this research also show that a universal calibration curve to be used for any concrete, in any condition, conceptually does not exist.

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Section: Discussionmentioning

confidence: 99%

Rebound Hammer Test: An Investigation into Its Reliability in Applications on Concrete Structures

Brencich

Bovolenta

Ghiggi

et al. 2020

Advances in Materials Science and Engineering

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“…The LAndslide Monitoring and Predicting (LAMP) system, proposed in an INTERREG-ALCOTRA project called AD-VITAM ("Analisi Della Vulnerabilità dei Territori Alpini Mediterranei ai Rischi Naturali"), is formulated for the analysis and forecasting of landslides (more specifically debris and earth slides) triggered by rainfalls [1]. LAMP adopts an Integrated Hydrological Geotechnical (IHG) model [2,3], implemented in Geographic Information System (GIS) environment for three-dimensional slope analyses.…”

Section: Introductionmentioning

confidence: 99%

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

Bovolenta

Bianchi

2020

Geosciences

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The paper describes the three-dimensional numerical model of Ville San Pietro, an Italian village subject to slope movements causing damage. The church (dating back to 1776), which is the most significant building of the area, is modelled too. The information from geotechnical and geophysical surveys on field are used to define the model geometry and the soil properties. A finite element code is adopted to simulate the slope behavior in occurrence of water table fluctuations, detected by piezometers, and to evaluate the slope displacements and stability. The validation of the model is carried out using the inclinometer and interferometry measures and by on-site inspections. The model demonstrated a good ability to simulate the slope behavior during the raising and lowering of the water table. The critical areas computed by the numerical code are in good accordance to the actual portions affected by soil displacements and damages. The modelling presented in this paper is crucial for future analyses that will take advantage of an innovative monitoring system, which will be installed on site.

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“…Two examples of monitoring sensor networks are TELLME (The Eledia LandsLide Monitoring System) and LAMP (LAndslide Monitoring and Predicting). For instance, LAMP (Bovolenta et al 2016) proposes the use of a dense, low-cost and self-sufficient network of sensors, disseminated on the ground, coupled with a cognitive/predictive hydrological-geotechnical https://doi.org/10.17221/227/2018-SWR (IHG) model, to monitor and predict landslides triggered by rains. The sensor network monitors the local hydrogeological conditions.…”

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confidence: 99%

The laboratory calibration of a soil moisture capacitance probe in sandy soils

Campora¹,

Palla²,

Gnecco³

et al. 2020

Soil Water Res.

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Determining and mitigating landslide risk is a technical-scientific objective, particularly for the protection and proper territorial management and planning. The slope stability depends on the pore pressure distribution, which is influenced by the saturation front propagation through the unsaturated zone, whose monitoring is useful to understand any possible instabilities. Such monitoring may be undertaken by sensors based on the measurement of the relative dielectric permittivity. Reliable relationships between the measurement and the soil moisture are necessary. The main objective of this study is to assess a laboratory calibration protocol for a specific capacitance sensor (Drill & Drop, Sentek Sensor Technologies). Two monogranular sands have been selected for the calibration purpose. The laboratory tests were performed under three relative density values (DR equal to 40%, 60% and 80%) for seven volumetric water content values (θv ranging from 0.00% to 36.26%). Based on the experimental measurements, the soil-specific calibration curves were determined at an assigned relative density value; in particular, a simple power law is adopted to describe the probe’s reading as a function of the volumetric water content. The results point out that the relative density values slightly affect the tests, thus, the soil-specific calibration curves are derived based on a simple regression analysis fitting the whole set of the laboratory tests validated for each sand. The calculated coefficient of determination (R2 = 0.96÷0.99) and root mean square error (RMSE = 1.4%÷2.8%) values confirm the goodness of fit. In order to propose more general fitting curves, suitable for both the investigated sands, multiple linear regressions are performed by considering θv and the mean grain size, D50 as independent variables; again, the R2 and RMSE values equal to 0.97 and 2.41%, respectively, confirm the suitability of the calibration curve. Finally, the laboratory calibration curves are compared with the manufacturer-supplied curves, thus, enhancing the need for the soil-specific calibration.

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LAMP—LAndslide Monitoring and Predicting for the analysis of landslide susceptibility triggered by rainfall events

Cited by 7 publications

References 9 publications

Rebound Hammer Test: An Investigation into Its Reliability in Applications on Concrete Structures

Rebound Hammer Test: An Investigation into Its Reliability in Applications on Concrete Structures

Geotechnical Analysis and 3D Fem Modeling of Ville San Pietro (Italy)

The laboratory calibration of a soil moisture capacitance probe in sandy soils

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