Pages that link to "Item:Q1600794"
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The following pages link to Detection of cracks using neural networks and computational mechanics (Q1600794):
Displaying 29 items.
- Computer-aided design of the effects of CR\(_2\)O\(_3\) nanoparticles on split tensile strength and water permeability of high strength concrete (Q546608) (← links)
- Detection of defective pile geometries using a coupled FEM/SBFEM approach and an ant colony classification algorithm (Q726283) (← links)
- A spline-based FE approach to modelling of high frequency dynamics of 1-D structures (Q825484) (← links)
- Calibrating a J2 plasticity material model using a 2D inverse finite element procedure (Q837205) (← links)
- A new tool based on artificial neural networks for the design of lightweight ceramic-metal armour against high-velocity impact of solids (Q838549) (← links)
- Neural networks for computing in fracture mechanics. Methods and prospects of applications (Q1309635) (← links)
- Genetic fuzzy system for damage detection in beams and helicopter rotor blades. (Q1415761) (← links)
- Damage detection on crates of beverages by artificial neural networks trained with finite-element data. (Q1429629) (← links)
- An intelligent simulation methodology to characterize defects in materials (Q1602504) (← links)
- An efficient simulation scheme for testing materials in a nondestructive manner (Q1602506) (← links)
- A computationally efficient approach for inverse material characterization combining Gappy POD with direct inversion (Q1798897) (← links)
- Neural crack identification in steady state elastodynamics (Q1818455) (← links)
- A 2D Hopfield neural network approach to mechanical beam damage detection (Q2014065) (← links)
- A DNN-based data-driven modeling employing coarse sample data for real-time flexible multibody dynamics simulations (Q2020773) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Crack detection in a rotating shaft using artificial neural networks and PSD characterisation (Q2510228) (← links)
- A LOCAL-PATCH BASED MULTI-STAGE ARTIFICIAL-NEURAL-NETWORK TRAINING PROCEDURE AND ITS APPLICATION TO MATERIAL CHARACTERIZATION (Q3056064) (← links)
- Vibratory Characteristics of Euler-Bernoulli Beams with an Arbitrary Number of Cracks Subjected to Axial Load (Q3110966) (← links)
- A GENETIC ALGORITHM BASED PROCEDURE FOR AUTOMATIC CRACK PROFILE IDENTIFICATION (Q3573665) (← links)
- Estimation of degraded composite laminate properties using acoustic wave propagation model and a reduction‐prediction network (Q3576556) (← links)
- Detection of holes in a plate using global optimization and parameter identification techniques (Q3585350) (← links)
- A 2.5D TRACTION BOUNDARY ELEMENT METHOD FORMULATION APPLIED TO THE STUDY OF WAVE PROPAGATION IN A FLUID LAYER HOSTING A THIN RIGID BODY (Q4907777) (← links)
- Tubenet: A Special Trumpetnet for Explicit Solutions to Inverse Problems (Q4987346) (← links)
- Comparison of machine learning methods for crack localization (Q5205437) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707638) (← links)
- An uncertainty inversion technique using two-way neural network for parameter identification of robot arms (Q5861345) (← links)
- Adaptive multilayer perceptron networks for detection of cracks in anisotropic laminated plates. (Q5939104) (← links)
- A data-driven multi-flaw detection strategy based on deep learning and boundary element method (Q6044220) (← links)
- Damage detection in cracked structure rotating under the fluid medium through radial basis function neural network technique (Q6145107) (← links)
