The role of soil in structure response of a building damaged by the 26 December 2018 earthquake in Italy

Fiamingo, Angela; Bosco, Melina; Massimino, Maria Rossella

doi:10.1016/j.jrmge.2022.06.010

Cited by 28 publications

(15 citation statements)

References 40 publications

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“…The area of rebars was evaluated considering gravity loads only. For more details, see Fiamingo et al (2022). The structure rests on volcanic soil (scoriaceous lava and volcanoclastic in the first layers, compact lavas at the bedrock).…”

Section: The Reference Soil-structure Systemmentioning

confidence: 99%

“…The FEM model of the soil-structure system, without the GRM layer (Model 1), modified by Fiamingo et al 2022.…”

Section: Figmentioning

confidence: 99%

“…These curves were preliminarily determined by the M-q analysis carried out by the OpenSees code (Mazzoni et al 2006). For details, see Fiamingo et al (2022). Figure 7 shows the M-q curves for the sections of the columns and beams.…”

Section: Figmentioning

confidence: 99%

“…The recycled rubber included in the GRMs could trap the dynamic wave, thus avoiding its passage from the foundation to the soil and vice versa. The structure was a typical reinforced concrete building in southern Italy (Fiamingo et al 2022). Three 2D FEM models were developed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Eco-sustainable Innovative Geotechnical Technology for the Structures Seismic Isolation, Investigated by Fem Parametric Analyses

Abate

Fiamingo

Massimino

2023

Preprint

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Geotechnical Seismic Isolation (GSI) is an innovative technique for protecting structures in earthquake-prone areas. The main idea is to improve the foundation soil so that seismic energy is partially dissipated within GSI before being transmitted to the structure. Among other materials proposed for foundation soil improvement, gravel-rubber mixtures (GRMs), with rubber grains manufactured from end-of-life tires (ELTs), have attracted significant research interest thanks to their good mechanical properties. GRMs also represent a modern recycling system to reduce the stockpile of scrap tires worldwide. The present study investigated numerically the effect of a GRM layer located underneath the shallow foundations of a real structure. The structure is a typical reinforced concrete building in southern Italy. A Finite Element Modelling (FEM) was carried out to evaluate the overall static and dynamic behaviour of the soil-GRMs-structure system. Three FEM models were performed with and without the GRM layer, varying the GRM layer thickness and the seismic inputs. The comparisons among the models allow us to assess the performance of the GRM underneath the foundations as a new eco-sustainable solution for the seismic isolation of structures.

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Section: The Reference Soil-structure Systemmentioning

confidence: 99%

“…The FEM model of the soil-structure system, without the GRM layer (Model 1), modified by Fiamingo et al 2022.…”

Section: Figmentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Eco-sustainable Innovative Geotechnical Technology for the Structures Seismic Isolation, Investigated by Fem Parametric Analyses

Abate

Fiamingo

Massimino

2023

Preprint

Self Cite

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show abstract

“…The Mexico City and the Puebla earthquakes are evidence of this complex relationship [ 1 ]. Thus, the response of structures without considering soil domain may be misleading and may cause failure of the structure, depending on the site conditions [ 2 , 3 ]. Studies have shown that SSI can have a significant impact on the responses of structures to seismic excitations, amplifying story drifts, and accelerations [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Soil-Structure Interaction on the Seismic Response of Structures Using Machine Learning, Finite Element Modeling and ASCE 7-16 Methods

Ali

El-Din

Haider

2023

Sensors

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Seismic design of structures taking into account the soil-structure interaction (SSI) methods is considered to be more efficient, cost effective, and safer then fixed-base designs, in most cases. Finite element methods that use direct equations to solve SSI problems are very popular, but the prices of the software are very high, and the analysis time is very long. Even though some low-cost and efficient software are available, the structures are mostly analyzed for the superstructure only, without using the geotechnical properties of the ground and its interaction effects. The reason is that a limited number of researchers have the knowledge of both geotechnical and structural engineering to model accurately the coupled soil-structure system. However, a cost-effective, less time-consuming and easy-to-implement technique is to analyze the structure along with ground properties using machine learning methods. The database techniques using machine learning are robust and provide reliable results. Thus, in this study, machine learning techniques, such as artificial neural networks and support vector machines are used to investigate the effect of soil-structure interactions on the seismic response of structures for different earthquake scenarios. Four frame structures are investigated by varying the soil and seismic properties. In addition, varying sample sizes and different optimization algorithms are used to obtain the best machine learning framework. The input parameters contain both soil and seismic properties, while the outputs consist of three engineering demand parameters. The network is trained using three and five-story buildings and tested on a three-story building with mass irregularity and a four-story building. Furthermore, the proposed method is compared with the dynamic responses obtained using fixed-base and ASCE 7-16 SSI methods. The proposed machine learning method showed better results compared with fixed-base and ASCE 7-16 methods with the nonlinear time history analysis results as a reference.

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Space–time finite element method with domain reduction techniques for dynamic soil–structure interaction problems

Sharma,

Shimizu,

Fujisawa

2024

Int Journal of Mech Sys Dyn

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Design of earth structures, such as dams, tunnels, and embankments, against the vibrational loading caused by high‐speed trains, road traffic, underground explosions, and, more importantly, earthquake motion, demands solutions of the dynamic soil–structure Interaction (SSI) problem. This paper presents a velocity‐based space–time finite element procedure, v‐ST/finite element method (FEM), to solve dynamic SSI problems. The main goal of this study is to present the computation details of implementing viscous boundary conditions of Lysmer–Kuhlemeyer to truncate the unbounded soil domain. Furthermore, additional time‐dependent boundary conditions, in terms of the free‐field response, are included to facilitate energy flow from the far field to the computation domain at the vertical truncated boundaries. In the FEM, seismic input motion is applied to an effective nodal force vector, which can be obtained explicitly in the numerical simulations. Finally, the response of a concrete gravity dam resting on an elastic half‐space to the horizontal component of earthquake motion is computed and successfully compared with the results of semidiscrete FEM using the Newmark‐ method.

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The role of soil in structure response of a building damaged by the 26 December 2018 earthquake in Italy

Cited by 28 publications

References 40 publications

An Eco-sustainable Innovative Geotechnical Technology for the Structures Seismic Isolation, Investigated by Fem Parametric Analyses

An Eco-sustainable Innovative Geotechnical Technology for the Structures Seismic Isolation, Investigated by Fem Parametric Analyses

The Effect of Soil-Structure Interaction on the Seismic Response of Structures Using Machine Learning, Finite Element Modeling and ASCE 7-16 Methods

Space–time finite element method with domain reduction techniques for dynamic soil–structure interaction problems

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