Browsing by Author "Asteris, Panagiotis G."
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- Masonry Compressive Strength Prediction Using Artificial Neural NetworksPublication . Asteris, Panagiotis G.; Argyropoulos, Ioannis; Cavaleri, Liborio; Rodrigues, Hugo; Varum, Humberto; Thomas, Job; Lourenço, Paulo B.The masonry is not only included among the oldest building materials, but it is also the most widely used material due to its simple construction and low cost compared to the other modern building materials. Nevertheless, there is not yet a robust quantitative method, available in the literature, which can reliably predict its strength, based on the geometrical and mechanical characteristics of its components. This limitation is due to the highly nonlinear relation between the compressive strength of masonry and the geometrical and mechanical properties of the components of the masonry. In this paper, the application of artificial neural networks for predicting the compressive strength of masonry has been investigated. Specifically, back-propagation neural network models have been used for predicting the compressive strength of masonry prism based on experimental data available in the literature. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of masonry walls in a reliable and robust manner.
- Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration AspectsPublication . Asteris, Panagiotis G.; Moropoulou, Antonia; Skentou, Athanasia D.; Apostolopoulou, Maria; Mohebkhah, Amin; Cavaleri, Liborio; Rodrigues, Hugo; Varum, HumbertoA methodology aiming to predict the vulnerability of masonry structures under seismic action is presented herein. Masonry structures, among which many are cultural heritage assets, present high vulnerability under earthquake. Reliable simulations of their response to seismic stresses are exceedingly difficult because of the complexity of the structural system and the anisotropic and brittle behavior of the masonry materials. Furthermore, the majority of the parameters involved in the problem such as the masonry material mechanical characteristics and earthquake loading characteristics have a stochastic-probabilistic nature. Within this framework, a detailed analytical methodological approach for assessing the seismic vulnerability of masonry historical and monumental structures is presented, taking into account the probabilistic nature of the input parameters by means of analytically determining fragility curves. The emerged methodology is presented in detail through application on theoretical and built cultural heritage real masonry structures.