Imagen de Portada

Survival probability of structures under fatigue: a data-based approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cartiaux, Francois-Baptiste, Legoll, Frederic, Libal, Alex, Reygner, Julien
Formato:	Preprint
Publicado:	2024
Materias:	Computational Engineering, Finance, and Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method
por: Rodriguez, Sebastian, et al.
Publicado: (2024)

An adaptive acceleration scheme for phase-field fatigue computations
por: Heinzmann, Jonas, et al.
Publicado: (2024)

A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
por: Danesh, Hooman, et al.
Publicado: (2024)

Increasing Inter-Fiber Contact in the Altendorf-Jeulin Model
por: Keilmann, Alex, et al.
Publicado: (2025)

Modeling of progressive high-cycle fatigue in composite laminates accounting for local stress ratios
por: Hofman, P., et al.
Publicado: (2024)

A hierarchical Bayesian approach for population-based structural health monitoring in ship hull structures
por: Aravanis, Georgios, et al.
Publicado: (2025)

Phase-field and lip-field approaches for fracture with extreme mesh deformation (X-Mesh): a one-dimensional study
por: Moës, Nicolas, et al.
Publicado: (2025)

Integrated physics-informed learning and resonance process signature for the prediction of fatigue crack growth for laser-fused alloys
por: Kousoulas, Panayiotis, et al.
Publicado: (2025)

X-Mesh: A new approach for the simulation of two-phase flow with sharp interface
por: Quiriny, Antoine, et al.
Publicado: (2023)

A symbolic approach to discrete structural optimization using quantum annealing
por: Wils, Kevin, et al.
Publicado: (2023)

An evolutionary approach to predict slope displacement of earth embankments under earthquake ground motions
por: Zhenyang, Jin, et al.
Publicado: (2025)

A waypoint based approach to visibility in performance based fire safety design
por: Börger, Kristian, et al.
Publicado: (2024)

Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach
por: Ichimura, Tsuyoshi, et al.
Publicado: (2024)

CSP-free adaptive Kriging surrogate model method for reliability analysis with small failure probability
por: Li, Wenxiong, et al.
Publicado: (2023)

Predicting the fatigue life of asphalt concrete using neural networks
por: Houlík, Jakub, et al.
Publicado: (2024)

A multi-scale probabilistic methodology to predict high-cycle fatigue lifetime for alloys with process-induced pores
por: Palchoudhary, Abhishek, et al.
Publicado: (2024)

Addressing data scarcity in structural health monitoring through generative augmentation
por: Farhadi, Sasan, et al.
Publicado: (2025)

Integration of local and global surrogates for failure probability estimation
por: Gaymann, Audrey, et al.
Publicado: (2026)

A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
por: Kraschewski, Kevin, et al.
Publicado: (2024)

A computational framework for predicting the effect of surface roughness in fatigue
por: Jiménez-Alfaro, S., et al.
Publicado: (2025)

Deep Reinforcement Learning Algorithms for Option Hedging
por: Neagu, Andrei, et al.
Publicado: (2025)

Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
por: Guo, Jiachen, et al.
Publicado: (2025)

Variational Deep Survival Machines: Survival Regression with Censored Outcomes
por: Wang, Qinxin, et al.
Publicado: (2024)

System reduction-based approximate reanalysis method for statically indeterminate structures with high-rank modification
por: Li, Wenxiong, et al.
Publicado: (2023)

A novel Taguchi-based approach for optimizing neural network architectures: application to elastic short fiber composites
por: Nikzad, Mohammad Hossein, et al.
Publicado: (2024)

Coupling approaches with non-matching grids for classical linear elasticity and bond-based peridynamic models in 1D
por: Diehl, Patrick, et al.
Publicado: (2025)

An energy-based material model for the simulation of shape memory alloys under complex boundary value problems
por: Erdogan, C., et al.
Publicado: (2024)

A characteristics-based method for shock-ramp data analysis
por: Shen, Jingxiang, et al.
Publicado: (2024)

Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions
por: Kalina, Karl A., et al.
Publicado: (2024)

A cable finite element formulation based on exact tension field for static nonlinear analysis of cable structures
por: Li, Wenxiong, et al.
Publicado: (2024)

Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
por: Stollberg, Jonathan, et al.
Publicado: (2024)

Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization
por: Jansari, Chintan, et al.
Publicado: (2024)

Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
por: Tannous, Mikhael, et al.
Publicado: (2025)

Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches
por: Zlatić, Martin, et al.
Publicado: (2024)

Option pricing model under the G-expectation framework
por: Pei, Ziting, et al.
Publicado: (2026)

On the Complementarity of Shared Electric Mobility and Renewable Energy Communities
por: Allard, Julien, et al.
Publicado: (2025)

A novel mesh regularization approach based on finite element distortion potentials: Application to material expansion processes with extreme volume change
por: Satheesh, Abhiroop, et al.
Publicado: (2023)

Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data
por: Dias, João Paulo, et al.
Publicado: (2024)

Real-time generative design of diverse, "truly" optimized structures with controllable structural complexities
por: Du, Zongliang, et al.
Publicado: (2024)

Research on financial fraud algorithm based on federal learning and big data technology
por: Sha, Xinye
Publicado: (2024)