Multi-parameter Vulnerability Analysis of Settlement-Affected Masonry Buildings with Shallow/Piled Foundations: Case Studies in The Netherlands

Nicodemo, Gianfranco; Peduto, Dario; Korff, Mandy; Ferlisi, Settimio

doi:10.1007/978-3-030-21359-6_5

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…In particular, the vertical PSI-derived set- tlement measurements (i.e. computed by multiplying the average velocity recorded on the building roof for the observation period) were interpolated within the building's perimeter Peduto et al, 2019) and the was assessed as the maximum difference of the recorded cumulative settlement profile along a longitudinal cross-section of the building (Nicodemo et al, 2020).…”

Section: Cause-effect Relationship Analysis and Resultsmentioning

confidence: 99%

“…(1) provides the conditional probability P (·) for a randomly selected building at risk to be in, or exceed, a certain DL (D i ) when the IP ( ) equals a given value. The vulnerability curve, relating the expected mean level of damage severity (µ D ) to a value of the IP ( ) for a given building, was generated by fitting the empirical data obtained by multiplying the discrete probability P i , associated with each D i , for a numerical index d i (adapted from Pitilakis and Fotopoulou, 2015): using as regression model the tangent hyperbolic function (Lagomarsino and Giovinazzi, 2006):…”

Section: Cause-effect Relationship Analysis and Resultsmentioning

confidence: 99%

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Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

Nicodemo¹,

Peduto²,

Ferlisi³

2020

Proc. IAHS

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Buildings in subsiding areas may suffer from settlements causing damages of different severity levels with high impact in terms of yearly economic losses. In these contexts, a systematic damage assessment jointly with continuous monitoring of relevant parameters (e.g. settlements exhibited by points located on the roof) can be extremely useful to control the building behaviour and develop forecasting models. In this regard, the paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in the Netherlands where the availability of multi-temporal building damage surveys and a long DInSAR monitoring dataset allowed both retrieving quantitative empirical relationships between the cause (magnitude of the selected intensity parameter, IP) and the effect (recorded damage severity level, DL) and generating empirical fragility and vulnerability curves. The results pointed out the importance of considering the exact dating of the onset of building damage and the corresponding magnitude of the considered IP in the generation of quantitative forecasting models.

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Section: Cause-effect Relationship Analysis and Resultsmentioning

confidence: 99%

Section: Cause-effect Relationship Analysis and Resultsmentioning

confidence: 99%

Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

Nicodemo¹,

Peduto²,

Ferlisi³

2020

Proc. IAHS

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District-scale numerical analysis of settlements related to groundwater lowering in variable soil conditions

et al. 2022

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This study presents a novel framework in which numerical modelling contributes to the performance of district-scale subsidence-induced damage assessment in cities where ground settlements affect entire quarters. Therein, the implementation of expeditious procedures offers geotechnical engineers the possibility of contributing beyond the typical site scale. For this purpose, several “typified” hydro-geomechanical-loading (HGL) models, which represent (simplified) scenarios of masonry buildings undergoing settlements, were set up to account for different predisposing/triggering factors (i.e. soil heterogeneity, loading conditions, and groundwater variations) of settlement occurrence in built-up areas. These models exploit multi-source wide-area input datasets encompassing the hydro-mechanical properties of geomaterials, in situ investigations and measurements (e.g. groundwater levels in wells), and innovative remote sensing data (i.e. DInSAR techniques). With reference to a district in Rotterdam City (the Netherlands), which was built on “soft soils”, the numerical simulations of different scenarios i) provide an overview of the comparative role of predisposing/triggering factors on settlement occurrence and ii) allow assessments of the expected induced damage to masonry buildings over thirty years with the exploitation of fragility curves. Considering the widespread diffusion of such geohazards, the proposed approach could help prioritise (rather expensive) maintenance work to the built heritage within sustainable strategies for subsidence risk mitigation.

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Multi-parameter Vulnerability Analysis of Settlement-Affected Masonry Buildings with Shallow/Piled Foundations: Case Studies in The Netherlands

Cited by 2 publications

References 10 publications

Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

District-scale numerical analysis of settlements related to groundwater lowering in variable soil conditions

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