Publicacións

@article{cid_reliability_2023,

title = {Reliability index based strategy for the probability-damage approach in fail-safe design optimization (β-PDFSO)},

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

url = {https://doi.org/10.1007/s00366-022-01611-y},

doi = {10.1007/s00366-022-01611-y},

issn = {1435-5663},

year  = {2023},

date = {2023-06-01},

urldate = {2026-08-07},

journal = {Engineering with Computers},

volume = {39},

number = {3},

pages = {2125–2146},

abstract = {This research proposes a new formulation for fail-safe size optimization, considering the probability of occurrence of each failure scenario and the random structural parameters as sources of uncertainty. Essentially, the fail-safe reliability-based design optimization is reformulated, where the term “damaged structure” coalesces information of the whole set of damaged configurations. Thus, a single random reliability index is defined, representing the reliability of a limit-state of the damaged structure, which accounts for the safety level of the entire set of damaged configurations. The method provides the optimum design for which the reliability indices of the damaged structure are achieved at the confidence level the designer demands. The first application example corresponds to an academic analytical problem. The second and third application examples correspond to practical engineering cases: a 2D truss structure with stress constraints as well as the tail section of an aircraft fuselage with stress and buckling constraints. Results show a considerable reduction of the objective function compared to the fail-safe RBDO, which could lead to oversized designs. In this sense, mass savings up to 13.6% are achieved for the industrial-like application example.},

keywords = {Fail-safe, Failure scenario, Multi-model, Partial collapse, Reliability, Uncertainty},

pubstate = {published},

tppubtype = {article}

}

@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{menga_sample-based_2019,

title = {A sample-based approach to estimate the dynamic loads of components with nonlinear uncertain interfaces},

author = {E. Menga and M. J. Sánchez and I. Romero and Santiago Hernández-Ibáñez},

url = {https://www.sciencedirect.com/science/article/pii/S1270963818319813},

doi = {10.1016/j.ast.2019.02.012},

issn = {1270-9638},

year  = {2019},

date = {2019-04-01},

urldate = {2026-08-06},

journal = {Aerospace Science and Technology},

volume = {87},

pages = {369–378},

abstract = {Predicting aircraft dynamics and vibration loads at components' interfaces is a key task for ensuring a robust design and development of the product. Usually, whereas in the case of isolate components the dynamic behavior can be predicted quite accurately, when several components are assembled through discontinuous junctions the predictiveness of a model decreases. The junctions, whose mechanical properties are seldom well characterized experimentally, often introduce nonlinearities in the loads' path. Additionally, their behavior is intrinsically uncertain and as a consequence, the dynamic response of the connected structures becomes stochastic. We propose a sample-based approach which aims to cope with both aspects, nonlinearities and uncertainties, and can be split in two main tasks. First, the computational cost of each deterministic simulation is minimized considering that the global nonlinear behavior depends on localized sources of nonlinearities at the interfaces. Second, the uncertainties are propagated through the model by a non-intrusive method based on Sobol's low discrepancy design. Attention is paid to the global sensitivity indices, which are estimated by creating a meta-model based on Polynomial Chaos Expansion. An industrial application considering an aircraft component whose dynamic behavior is affected by uncertain free-plays at its interfaces is presented.},

keywords = {Dynamic modifications, Free-plays, Global sensitivity, Nonlinear dynamics, 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}

}

@article{lopez_relevance_2018,

title = {The relevance of reliability-based topology optimization in early design stages of aircraft structures},

author = {Carlos López and Aitor Baldomir-García and Santiago Hernández-Ibáñez},

url = {https://doi.org/10.1007/s00158-017-1740-2},

doi = {10.1007/s00158-017-1740-2},

issn = {1615-1488},

year  = {2018},

date = {2018-01-01},

urldate = {2026-08-04},

journal = {Structural and Multidisciplinary Optimization},

volume = {57},

number = {1},

pages = {417–439},

abstract = {This paper aims to compare the structural designs derived from Deterministic Topology Optimization (DTO) and Reliability-Based Topology Optimization (RBTO). The target is to prove that including uncertain data in preliminary stages of the design process such as topology optimization can help to reduce the weight of the component to be conceived. To compare both approaches the same Reliability-Based Design Optimization (RBDO) sizing problem is formulated over the bar structures emerged from the DTO and RBTO results. The RBTO is performed through the RBDO algorithm Sequential Optimization and Reliability Assessment (SORA) based on its robustness, accuracy and decoupled nature, which allows to use an external optimization software when dealing with the topology optimization problem. Three application examples, including two 2D bar structures and a 3D simplified aircraft rear fuselage are studied. The results show that the designs based on RBTO are lighter than the designs based on DTO when both structures are compared in a subsequent reliability-based size optimization including the same probabilistic information.},

keywords = {Conceptual design, Reliability, Structural sizing, Topology optimization, Uncertainty},

pubstate = {published},

tppubtype = {article}

}