PSI - Issue 73

ScienceDirect Structural Integrity Procedia 00 (2025) 000–000 Structural Integrity Procedia 00 (2025) 000–000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 73 (2025) 119–124

23rd International Conference on Modelling in Mechanics 2025 Making reliability analysis easy using MS Excel and FReET software Drahomír Novák a * , Miroslav Vořechovský a , Radoslav Rusina b a Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Veveří 95, 602 00 Brno, Czech republic b FEM Consulting, Veveří 95, 602 00 Brno, Czech republic Abstract The paper describes the main features and recent achievements of multipurpose reliability software FReET development. A new interface between the reliability software FReET and MS Excel has been developed enabling easy and understandable statistical, sensitivity and reliability analyses possible. The contribution should be considered as an informative technical note on a new possibility to implement the response/limit state function for both present and future users of software. The interface logic is described and illustrated by an example. © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of 23rd International Conference on Modelling in Mechanics 2025 organizers Keywords: Uncertainties propagation; random variables; reliability analysis; sensitivity analysis; limit state function. 1. Introduction Probabilistic techniques are used in various fields of engineering, and they offer advantages over the more traditional deterministic methods. In deterministic methods therefore, part of the information available is not inherently exploited, but for instance, safety factors are considered, leading usually in this way to conservative and therefore safe answers in design or assessment. By contrast, in probabilistic methods, these uncertainties are directly utilized fully as inputs. Less conservative answers are therefore obtained as uncertain reality is simulated. Efficient methods for statistical, sensitivity and reliability assessment were implemented in FReET software, Novák et al. (2014, 2025). Attention is given to those techniques that have been developed for the analysis of computationally intensive problems; nonlinear FEM analysis being a typical example, the most successful 23rd International Conference on Modelling in Mechanics 2025 Making reliability analysis easy using MS Excel and FReET software Drahomír Novák a * , Miroslav Vořechovský a , Radoslav Rusina b a Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Veveří 95, 602 00 Brno, Czech republic b FEM Consulting, Veveří 95, 602 00 Brno, Czech republic Abstract The paper describes the main features and recent achievements of multipurpose reliability software FReET development. A new interface between the reliability software FReET and MS Excel has been developed enabling easy and understandable statistical, sensitivity and reliability analyses possible. The contribution should be considered as an informative technical note on a new possibility to implement the response/limit state function for both present and future users of software. The interface logic is described and illustrated by an example. © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of 23rd International Conference on Modelling in Mechanics 2025 organizers Keywords: Uncertainties propagation; random variables; reliability analysis; sensitivity analysis; limit state function. 1. Introduction Probabilistic techniques are used in various fields of engineering, and they offer advantages over the more traditional deterministic methods. In deterministic methods therefore, part of the information available is not inherently exploited, but for instance, safety factors are considered, leading usually in this way to conservative and therefore safe answers in design or assessment. By contrast, in probabilistic methods, these uncertainties are directly utilized fully as inputs. Less conservative answers are therefore obtained as uncertain reality is simulated. Efficient methods for statistical, sensitivity and reliability assessment were implemented in FReET software, Novák et al. (2014, 2025). Attention is given to those techniques that have been developed for the analysis of computationally intensive problems; nonlinear FEM analysis being a typical example, the most successful © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the event organizers

* Corresponding author. Tel.: +420 775 172 861; E-mail address: drahomir.novak@vut.cz * Corresponding author. Tel.: +420 775 172 861; E-mail address: drahomir.novak@vut.cz

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of 23rd International Conference on Modelling in Mechanics 2025 organizers 2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of 23rd International Conference on Modelling in Mechanics 2025 organizers

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the event organizers 10.1016/j.prostr.2025.10.019