A LiDAR-aided urban-scale assessment of soil-structure interaction effects: the case of Kalochori residential area (N. Greece)

Rovithis, Emmanouil; Kirtas, Emmanouil; Bliziotis, Dimitris; Maltezos, Evangelos; Pitilakis, Dimitris; Makra, Konstantia; Savvaidis, Alexandros; Karakostas, Christos; Lekidis, Vasileios

doi:10.1007/s10518-017-0155-1

Cited by 14 publications

(6 citation statements)

References 38 publications

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“…An array 2D test has been exploited to obtain the shear wave velocity profile down to more than one hundred meters from ground surface [6]. Figure 5 shows the shear velocity profile down to a depth of 100 m. The array 2D test revealed the presence of a stiffer layer (i.e., V s ≈ 500 m/s) at a depth of about 100 m. Another methodology to investigate about the seismic bedrock depth by using the available H/V ratios is described in [14,15], however further studies and investigations have been planned in order to improve the knowledge of subsoil below 100 m depth. The bedrock (i.e., Vs ≥ 800 m/s) is presumed to be very deep and some attempts have been made to increase the knowledge of the subsoil below 65 m depth.…”

Section: Geotechnical Model Of the Leaning Tower Of Pisa Subsoilmentioning

confidence: 99%

One-Dimensional Nonlinear Seismic Response Analysis Using Strength-Controlled Constitutive Models: The Case of the Leaning Tower of Pisa’s Subsoil

et al. 2018

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Abstract:The Leaning Tower of Pisa was built between 1173 and 1360 and began to lean at the beginning of its construction. Extensive investigations to reveal the causes of the tilting only began in the early 20th century. Although few earthquakes have been recorded, there is a renewed interest in the seismic behavior of the tower triggered by the availability of new data and technologies. This paper highlights the influence of using new strength-controlled constitutive models in case of 1D nonlinear response analysis. This is an aspect that has been poorly investigated. Most of the computer codes currently available for nonlinear seismic response analysis (SRA) of soil use constitutive models able to capture small-strain behavior, but the large-strain shear strength is left uncontrolled. This can significantly affect the assessment of a 1-D response analysis and the Leaning Tower's subsoil can be useful for this study as it represents a well-documented and well-characterized site. After a geological and geotechnical description of the subsoil profile and a synthesis of available data, the seismic input is defined. One-dimensional SRAs were carried out by means of a computer code which considers an equivalent-linear soil modelling and two codes which assume nonlinear soil response and permit to use strength-controlled constitutive models. All the parameters were calibrated on the basis of the same soil data, therefore allowing for a direct comparison of the results.

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Section: Geotechnical Model Of the Leaning Tower Of Pisa Subsoilmentioning

confidence: 99%

One-Dimensional Nonlinear Seismic Response Analysis Using Strength-Controlled Constitutive Models: The Case of the Leaning Tower of Pisa’s Subsoil

et al. 2018

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“…The LIDAR image is, in reality, a detailed 3D digital surface photograph wherein each pixel is identified with its x, y, and z location. Efforts to utilize LIDAR to capture pre-event urban conditions (e.g., Borfecchia et al, 2010;Rovithis et al, 2017) will enhance the ability for post-event scans to capture ground movements.…”

Section: Reconnaissance Methods and Activitiesmentioning

confidence: 99%

Recent Advances in Geotechnical Post-earthquake Reconnaissance

Bray

Frost

Rathje

et al. 2019

Front. Built Environ.

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Field observations are particularly important in geotechnical engineering, because it is difficult to replicate in the laboratory the response of soil deposits built by nature over thousands of years. Detailed mapping of damaged and undamaged areas provides the data for the well-documented case histories that drive the development of many current design procedures. Thus, documenting key insights from earthquakes advance research and practice. This has been a primary goal of the National Science Foundation-sponsored Geotechnical Extreme Events Reconnaissance (GEER) Association since its inception almost 20 years ago. New technologies are continually employed by GEER teams to capture ground deformation and its effects. These technologies include Light Imaging Detection and Ranging (LIDAR) and Structure-from-Motion (SfM) image processing techniques for generating and visualizing three-dimensional point cloud data sets. New sensor deployment platforms such as Unmanned Aerial Vehicles (UAVs) are playing an integral role in the data collection process. Unanticipated observations from major events often catalyze new research directions. An overview of some of these recent integrated technology deployments and their role at the core of earthquake disaster analysis is presented. Important advancements are possible through post-event research if their effects are captured and shared effectively.

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“…While nonlinear subsoil behavior and SSI effects are significant for building-specific fragility curves, it is practically impossible to evaluate these effects for a larger scale (e.g. city-scale) risk assessment (Rovithis et al, 2017). Here, we examine these effects on the typologies of RC dual buildings met in common engineering practice and propose appropriate FM upon the existing fragility curves; risk analysts need to modify , rather than re-calculate the fragility curves.…”

Section: Fm For Risk Assessmentmentioning

confidence: 99%

Fragility curve modifiers for reinforced concrete dual buildings, including nonlinear site effects and soil–structure interaction

Petridis

Pitilakis

2020

Earthquake Spectra

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We investigate the influence of soil–structure interaction (SSI) and nonlinear soil behavior on the seismic fragility of reinforced concrete (RC) dual (frame + shear wall) buildings resting on shallow foundations. This article includes a holistic methodology to account for nonlinear soil behavior and soil–foundation–structure interaction in a modular way. Using nonlinear dynamic analyses, we derive fragility curves for a wide set of building typologies and soil profiles, showing that soil behavior during strong shaking significantly affects the vulnerability of the soil–foundation–structure system. The influence of SSI is pronounced mostly for soft soil profiles, varying in a building-specific way. Post-processing of our results evolves into a set of fragility modifiers that enable risk analysts to massively account for soil-related and/or SSI effects in large-scale risk assessments.

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A LiDAR-aided urban-scale assessment of soil-structure interaction effects: the case of Kalochori residential area (N. Greece)

Cited by 14 publications

References 38 publications

One-Dimensional Nonlinear Seismic Response Analysis Using Strength-Controlled Constitutive Models: The Case of the Leaning Tower of Pisa’s Subsoil

One-Dimensional Nonlinear Seismic Response Analysis Using Strength-Controlled Constitutive Models: The Case of the Leaning Tower of Pisa’s Subsoil

Recent Advances in Geotechnical Post-earthquake Reconnaissance

Fragility curve modifiers for reinforced concrete dual buildings, including nonlinear site effects and soil–structure interaction

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