Papers

@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{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}

}