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Dive into the research topics where Marco Faggella is active.

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Featured researches published by Marco Faggella.


VII European Congress on Computational Methods in Applied Sciences and Engineering | 2016

PERFORMANCE BASED EARTHQUAKE ASSESSMENT OF AN INDUSTRIAL SILOS STRUCTURE AND RETROFIT WITH SLIDING ISOLATORS

Edoardo Rossi; Michelangelo Ventrella; Marco Faggella; Rosario Gigliotti; Franco Braga

Recent seismic events pointed out the high vulnerability of existing industrial facilities, stressing on safety and high losses inherent to interruption of economic activities and release of environmentally hazardous materials. These structures often have irregular geometry and structural configuration, are subject to aging and corrosion, and are designed without specific performance-based or seismic design criteria. Due to these inherent complexities, retrofit using friction isolators can be a viable and practical solution for performance improvements. This work presents a case study of irregular industrial storage plant structure consisting of a group of six elevated silos resting on a steel frame on one side and connected to a vaulted RC structure on the other. A computational model is built incorporating nonlinearities from the components (braces, beams, columns, etc.) and from the mitigation devices. Retrofit using friction isolators is analyzed and evaluated through linear and nonlinear dynamic analyses under a set of natural ground motions. Results show the effectiveness of the mitigation strategy in terms of performance improvement.


2008 SEISMIC ENGINEERING CONFERENCE: Commemorating the 1908 Messina and Reggio#N#Calabria Earthquake | 2008

Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing

Marco Faggella; Andre R. Barbosa; Joel P. Conte; E. Spacone; José I. Restrepo

This paper presents a probabilistic seismic demand analysis of a three dimensional R/C building model subjected to tri‐axial earthquake excitation. Realistic probability distributions are assumed for the main structural and material properties and for the ground motion Intensity Measure (IM) Sa(T1. Natural ground motions are used in the analyses to represent the inherent randomness in the earthquake ground motion time histories. Monte Carlo simulations are performed to account for the record‐to‐record variability and Tornado diagrams are used to represent the uncertainty induced in the response by the basic uncertainties in the structural properties. In order to perform a probabilistic study on three‐dimensional engineering demand parameters (EDPs), a large number of ensemble time history analyses were carried out using the TeraGrid high‐performance computing resources available at the San Diego Supercomputer Center. Early results show that for the testbed building used in this study, uncertainty in the s...


VII European Congress on Computational Methods in Applied Sciences and Engineering | 2016

PERFORMANCE-BASED NONLINEAR RESPONSE HISTORY ANALYSIS FRAMEWORK FOR THE “PROINDUSTRY” PROJECT CASE STUDIES

Marco Faggella; Raffaele Laguardia; Rosario Gigliotti; Francesco Morelli; Franco Braga; Walter Salvatore

Within the PROINDUSTRY project a Performance-based analysis framework is defined for seismic assessment of industrial structures, based on Nonlinear Response History Analysis (NL RHA) using in particular the Incremental Dynamic Analysis (IDA) method. This paper describes the choice of the PBEE and IDA analysis methods starting from an overview of state-of-the-art methods. The choice is analyzed in relation to: analysis goals for the selected case studies (design-based vs. risk-based), availability of databases/tools for hazard analysis and GMs selection, accuracy of criteria to scale and match GMs to a target spectrum (UHS, CMS, etc.) and treatment of record components. Three possible approaches of GMs selection are described and analyzed: (1) UHS-coherent Unscaled (Design), (2) UHScoherent GMs scaled to Sa(T1) (Risk/Loss), (3) CMS-coherent GMs scaled to Sa(T1), (Risk/Loss). Within the scopes of PROINDUSTRY, the approach (1) is proposed, as a tradeoff between simplicity of conventional PBEE design methods and probabilistic robustness for a heterogeneous portfolio of structures/facilities. M. Faggella, R. Laguardia, R. Gigliotti, F. Morelli, F. Braga, W. Salvatore.


6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering | 2017

PERFORMANCE BASED EARTHQUAKE ASSESSMENT OF AN INDUSTRIAL GAS FILTER STRUCTURE

Raffaele Laguardia; Andrea Piscini; Marco Faggella; Rosario Gigliotti; Francesco Morelli; Franco Braga; Walter Salvatore

Industrial facilities often store a large amount of hazardous material and, in case of seismic event, there is a high probability that accidental scenarios as fire, explosion, toxic or radioactive dispersion may occur. Moreover, the structural configuration of industrial facilities are often the fruit of plants and functionality requirements, that lead to strong irregularities and different load resisting systems within the same structure. This paper presents a performance-based earthquake assessment of an industrial gas filter structure, characterized by the presence of important masses placed at significant height and of different horizontal resisting systems, such as moment resisting frames, inverted V bracings and diagonal bracings. Within the framework of the PROINDUSTRY research project critical failure mechanisms of industrial structures and relevant limit states are analyzed and discussed. The structural response is computed via nonlinear finite elements analyses of the static pushover (PO) and dynamic response history type (RHA). The seismic input is defined through Probabilistic Seismic Hazard Analysis (PSHA) and a set of natural Ground Motions (GM) which are selected and scaled with different criteria with respect to the Uniform Hazard Spectrum (UHS) and the Conditional Mean Spectrum (CMS). An overview of significant aspects of the structural performance assessment is presented with respect to input definition and choice of Intensity Measures (IM), irregular structural behaviour and probabilistic treatment of key Engineering Demand Parameters (EDP) for this type of industrial structure. 4184 COMPDYN 2017 6 ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering M. Papadrakakis, M. Fragiadakis (eds.) Rhodes Island, Greece, 15 ! 17 June 2017 Available online at www.eccomasproceedia.org Eccomas Proceedia COMPDYN (2017) 4184-4193


Structural Safety | 2013

Probabilistic seismic response analysis of a 3-D reinforced concrete building

Marco Faggella; Andre R. Barbosa; Joel P. Conte; Enrico Spacone; Jos ́e I. Restrepo


9th International Conference on Structural Dynamics (EURODYN) | 2014

Influence of bond-slip effect and shear deficient column in the seismic assessment of older infilled frame R/C structures

Aslam Faqeer Mohammad; Marco Faggella; Rosario Gigliotti; Enrico Spacone


Archive | 2008

Nonlinear models and nonlinear procedures for seismic analysis of reinforced concrete frame structures

Marco Faggella; Enrico Spacone; Guido Camata


Engineering Structures | 2018

Comparative seismic loss analysis of an existing non-ductile RC building based on element fragility functions proposals

Fabio Romano; Marco Faggella; Rosario Gigliotti; Maria Zucconi; Barbara Ferracuti


Procedia Engineering | 2017

Mohr Circle-based Graphical Vibration Analysis and Earthquake Response of Asymmetric Systems

Marco Faggella; Rosario Gigliotti; Carmen Morrone; Enrico Spacone


Earthquake Spectra | 2017

Damage Reconnaissance of Unreinforced Masonry Bearing Wall Buildings after the 2015 Gorkha, Nepal, Earthquake

Giuseppe Brando; Davide Rapone; Enrico Spacone; Matt S. O’Banion; Michael J. Olsen; Andre R. Barbosa; Marco Faggella; Rosario Gigliotti; Domenico Liberatore; Salvatore Russo; Luigi Sorrentino; Supratik Bose; Andreas Stravidis

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Rosario Gigliotti

Sapienza University of Rome

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Enrico Spacone

University of Colorado Boulder

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Franco Braga

Sapienza University of Rome

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Joel P. Conte

University of California

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Yan Xiao

University of Southern California

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