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Interval static analysis of multi-cracked beams with uncertain size and position of cracks

Articolo
Data di Pubblicazione:
2020
Citazione:
Interval static analysis of multi-cracked beams with uncertain size and position of cracks / Santoro, R., Failla, G., Muscolino, G.. - In: APPLIED MATHEMATICAL MODELLING. - ISSN 0307-904X. - 86:(2020), pp. 92-114. [10.1016/j.apm.2020.03.049]
Abstract:
This paper deals with beams under static loads, in presence of multiple cracks with uncertain parameters. The crack is modelled as a linearly-elastic rotational spring and, following a non-probabilistic approach, both stiffness and position of the spring are taken as uncertain-but-bounded parameters. A novel approach is proposed to compute the bounds of the response. The key idea is a preliminary monotonicity test, which evaluates sensitivity functions of the beam response with respect to the separate variation of every uncertain parameter within the pertinent interval. Next, two alternative procedures calculate lower and upper bounds of the response. If the response is monotonic with respect to all the uncertain parameters, the bounds are calculated by a straightforward sensitivity-based method making use of the sensitivity functions built in the monotonicity test. In contrast, if the response is not monotonic with respect to even one parameter only, the bounds are evaluated via a global optimization technique. The presented approach applies for every response function and the implementation takes advantage of closed analytical forms for all response variables and related sensitivity functions. Numerical results prove efficiency and robustness of the approach, which provides very accurate bounds even for large uncertainties, avoiding the computational effort required by the vertex method and Monte Carlo simulation.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Global optimization technique; Interval analysis; Monotonicity test; Sensitivity-based method; Uncertain crack position; Uncertain crack size
Elenco autori:
Santoro, Roberta; Failla, Giuseppe; Muscolino, Giuseppe
Autori di Ateneo:
FAILLA Giuseppe
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/65934
Pubblicato in:
APPLIED MATHEMATICAL MODELLING
Journal
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https://www.sciencedirect.com/science/article/pii/S0307904X20301839?dgcid=rss_sd_all
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