Papers

@article{cid_probability-damage_2020,

title = {Probability-damage approach for fail-safe design optimization (PDFSO)},

author = {Clara Cid and Aitor Baldomir-García and Santiago Hernández-Ibáñez},

url = {https://doi.org/10.1007/s00158-020-02660-x},

doi = {10.1007/s00158-020-02660-x},

issn = {1615-1488},

year  = {2020},

date = {2020-12-01},

urldate = {2026-08-06},

journal = {Structural and Multidisciplinary Optimization},

volume = {62},

number = {6},

pages = {3149–3163},

abstract = {Fail-safe design often leads to oversized structures as the design must be able to behave properly for the different accidental situations that could undergo throughout their lifespan. The existing research about structural optimization applied to fail-safe design does not contemplate the idea of having accidental situations with different probabilities of occurrence. This means that the structure must satisfy the design constraints in the damaged structure regardless of whether one accidental situation is much more likely than another. The objective of this research is to formulate a new optimization strategy to get fail-safe structures with minimum weight taking into account the available data about the probability of occurrence associated to each partial collapse. A multi-model probabilistic optimization problem is defined and applied to two structures: a 2D truss structure with stress constraints as well as the tail section of an aircraft fuselage with stress and buckling constraints.},

keywords = {Certainty of survival, Fail-safe design, Multi-model, Optimization, Partial collapse, Probability of failure, Uncertainty},

pubstate = {published},

tppubtype = {article}

}

@article{cid_bengoa_multi-model_2018,

title = {Multi-model reliability-based design optimization of structures considering the intact configuration and several partial collapses},

author = {Clara Cid Bengoa and Aitor Baldomir-García and Santiago Hernández-Ibáñez and Luis E. Romera-Rodríguez},

url = {https://doi.org/10.1007/s00158-017-1789-y},

doi = {10.1007/s00158-017-1789-y},

issn = {1615-1488},

year  = {2018},

date = {2018-03-01},

urldate = {2026-08-04},

journal = {Structural and Multidisciplinary Optimization},

volume = {57},

number = {3},

pages = {977–994},

abstract = {Some structures require keeping a specific safety level even if part of their elements have collapsed. The aim of this paper is to obtain the optimum design of these structures when uncertainty in some parameters that affects to the structural response is also considered. A Reliability-Based Design Optimization (RBDO) problem is formulated in order to minimize the mass of the structure fulfilling probabilistic constraints in both intact and damaged configurations. The proposed methodology combines the formulation of multi-model optimization with RBDO techniques programmed in a Matlab code. Two application examples are presented consisting of a two-dimensional truss structure with stress constraints as well as a curved stiffened panel of an aircraft fuselage subjected to buckling constraints.},

keywords = {Damaged configurations, Fail-safe design, Multi-model, Optimization, RBDO, Reliability index, Uncertainty},

pubstate = {published},

tppubtype = {article}

}