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F. Pinna, F. Stochino, "Stochastic Nonlinear SDOF Model and Probabilistic Fragility Assessment of Steel Plates Under Blast Loading", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 7.4, 2025,

Keywords: single-degree-of-freedom, stochastics, uncertain loading, Monte Carlo simulations, fragility curves, blast loading, steel plates.

Abstract

We present a reduced-order single-degree-of-freedom (SDOF) formulation that couples non-linear material behaviour with rate-dependent steel properties and explicit uncertainty propagation for steel plates subjected to blast over-pressure. The model is calibrated against experimental data and finite-element simulations, achieving < 5 % error on peak displacement while cutting computational time by four orders of magnitude. A Monte-Carlo framework (15,000 realizations) treats TNT mass as a log-normal variable and delivers fragility curves for slight, moderate and severe damage states. Results show that, for a 3 mm plate, the ?-parameter of the fitted sigmoid increases from 5.1 to 8.4 when explosive mass rises from 50 kg to 200 kg, indicating steeper reliability gradients. The proposed approach enables rapid performance-based assessment and is readily extendable to other impulsive loads or parameterized digital-twin environments.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 10 PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 7.4 Stochastic Nonlinear SDOF Model and Probabilistic Fragility Assessment of Steel Plates Under Blast Loading F. Pinna and F. Stochino Department of Civil, Environmental Engineering and Architecture, University of Cagliari, Italy Full Bibliographic Reference for this paper F. Pinna, F. Stochino, "Stochastic Nonlinear SDOF Model and Probabilistic Fragility Assessment of Steel Plates Under Blast Loading", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 7.4, 2025, Keywords: single-degree-of-freedom, stochastics, uncertain loading, Monte Carlo simulations, fragility curves, blast loading, steel plates. Abstract We present a reduced-order single-degree-of-freedom (SDOF) formulation that couples non-linear material behaviour with rate-dependent steel properties and explicit uncertainty propagation for steel plates subjected to blast over-pressure. The model is calibrated against experimental data and finite-element simulations, achieving < 5 % error on peak displacement while cutting computational time by four orders of magnitude. A Monte-Carlo framework (15,000 realizations) treats TNT mass as a log-normal variable and delivers fragility curves for slight, moderate and severe damage states. Results show that, for a 3 mm plate, the ?-parameter of the fitted sigmoid increases from 5.1 to 8.4 when explosive mass rises from 50 kg to 200 kg, indicating steeper reliability gradients. The proposed approach enables rapid performance-based assessment and is readily extendable to other impulsive loads or parameterized digital-twin environments. download the full-text of this paper (PDF, 11 pages, 985 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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