Pages that link to "Item:Q1988901"
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The following pages link to Machine learning aided static structural reliability analysis for functionally graded frame structures (Q1988901):
Displaying 13 items.
- Fuzzy finite element analysis for free vibration response of functionally graded semi-rigid frame structures (Q821980) (← links)
- Stochastic nonlocal damage analysis by a machine learning approach (Q2020969) (← links)
- Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique (Q2160447) (← links)
- Machine learning aided stochastic elastoplastic analysis (Q2179191) (← links)
- Reliability-based design for lightweight vehicle structures with uncertain manufacturing accuracy (Q2242453) (← links)
- A virtual model architecture for engineering structures with twin extended support vector regression (T-X-SVR) method (Q2246326) (← links)
- Decomposition method for reliability analysis of structural systems (Q6114880) (← links)
- Adaptive stochastic isogeometric analysis for nonlinear bending of thin functionally graded shells with material uncertainties (Q6153856) (← links)
- A machine learning-based probabilistic computational framework for uncertainty quantification of actuation of clustered tensegrity structures (Q6164273) (← links)
- EMR-SSM: synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation (Q6203000) (← links)
- Influence of material stochasticity on buckling characteristics of initially imperfect higher-order shear deformable gradient plates (Q6490879) (← links)
- Bending behaviour of steel-concrete composite beam with partial shear interface using MCS and ANN (Q6576363) (← links)
- Full-field experiment-aided virtual modelling framework for inverse-based stochastic prediction of structures with elastoplasticity (Q6609799) (← links)
