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Your search keyword '"Chisari C"' showing total 26 results
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26 results on '"Chisari C"'

25. A hybrid macro-modelling strategy with multi-objective calibration for accurate simulation of multi-ring masonry arches and bridges

Author

Bartolomeo Pantò, Corrado Chisari, Lorenzo Macorini, Bassam A. Izzuddin, Commission of the European Communities, Engineering & Physical Science Research Council (E, Panto, B., Chisari, C., Macorini, L., and Izzuddin, B. A.

Subjects
Mesoscale model, Optimisation procedures, Genetic algorithm, Nonlinear analysi, Mechanical Engineering, Modeling and Simulation, Applied Mathematics, General Materials Science, Multi-ring masonry arche, Continuous finite element model, 09 Engineering, Computer Science Applications, Civil and Structural Engineering
Abstract

This paper presents an efficient hybrid continuum-discrete macro-modelling strategy with an enhanced multiscale calibration procedure for realistic simulations of brick/block-masonry bridges. The response of these structures is affected by the intrinsic nonlinearity of the masonry material, which in turn depends upon the mechanical properties of units and mortar joints and the bond characteristics. Finite element approaches based upon homogenised representations are widely employed to assess the nonlinear behaviour up to collapse, as they are generally associated with a limited computational demand. However, such models require an accurate calibration of model material parameters to properly allow for masonry bond. According to the proposed approach, the macroscale material parameters are determined by an advanced multi-objective strategy with genetic algorithms from the results of mesoscale “virtual” tests through the minimisation of appropriate functionals of the scale transition error. The developed continuum-discrete finite element macroscale description and the calibration procedure are applied to simulate the nonlinear behaviour up to collapse of multi-ring arch-bridge specimens focusing on the 2D planar response. The results obtained are compared to those achieved using detailed mesoscale models confirming the effectiveness and accuracy of the proposed approach for realistic nonlinear simulations of masonry arch bridges.

Published
2022

26. A mechanics-based model for simplified seismic vulnerability assessment of masonry bell towers

Author

Corrado Chisari, Daniela Cacace, Gianfranco De Matteis, Chisari, C., Cacace, D., and De Matteis, G.

Subjects
Spectral acceleration, Belfry, Masonry bell tower, Sensitivity analysi, Parametric model, Ultimate Limit State, Civil and Structural Engineering
Abstract

The safeguard of historical heritage cannot disregard a rational assessment of the seismic vulnerability of the assets, especially in areas as Italy where high exposure and hazard may lead to significant risk. In this context, while established empirical methods based on observed damage after earthquakes are available for some constructional typologies as churches and palaces, large-scale approaches for masonry bell towers aimed at defining a vulnerability ranking for prioritisation of intervention are still missing or not sufficiently validated. In this paper, a novel simplified vulnerability model is formulated through sensitivity-informed parameter reduction of a more detailed mechanics-based assessment methodology. The framework is based on (a) a parametric representation of the bell tower, (b) a mechanical model providing a measure of collapse, (c) a vulnerability definition based on the measure of collapse. The variation ranges of the input parameters are calibrated against the results of the surveys carried out in the historical centre of Naples. A global sensitivity analysis is then used to identify the most important parameters governing the vulnerability of the structure and remove the least influential parameters. Vulnerability models based on different amount of input data are finally proposed, and their accuracy is assessed comparatively with the original mechanical model. The results show that good accuracy can be obtained by using six geometrical and typological parameters, while further increase in the quality of the prediction may be achieved with the introduction of additional information regarding materials and constructional features, which can only be acquired by means of more detailed surveys on-site.

Published
2022
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