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Applications of Finite Element Modeling for Mechanical and Mechatronic Systems
| Applications of Finite Element Modeling for Mechanical and Mechatronic Systems |
| Autore | Krawczuk Marek |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
numerical modeling
finite volumne method underground coal mine endogenous fires spontaneous combustion longwall ventilation system shot peening quantitative description of peening coverage high peening coverage Almen intensity residual compressive stress hybrid composite damage aramid fiber carbon fiber finite element method delamination cut bar method thermal conductivity steady-state heat lakes finite element modeling aluminum conductor steel-reinforced cable bend deformation stress friction coefficient wind loads fatigue fracture FEM SFEM active periodic structures smart materials PCHE misalignment channel utilization factor torsion springs FEA NURBS applied load local behaviors drill pipe joint design sealing properties experiment bias tire textile cord shrinkage rubber inflation analysis nondestructive inspection crack detection low loading surface profile turbine blade finite element analysis swingarm single-sided Finite Elements Analysis (FEA) three-wheel motorcycle topology optimization collision modeling mechanical parameters contact detection web deformation strain deviation design of experiment roll-to-roll process solid mechanics finite elements hp-adaptivity numerical locking detection assessment resolution equilibrated residual method sensitivity analysis p-enrichment bell crank natural frequency reverse engineering vibrometer Abaqus numerical simulation biomechanics head injury safety injury criteria disability driver HALE UAV generative modelling thin-layer composite structure electro-mechanical systems piezoelectrics hierarchical models first-order models transition models hpq/hp-approximations adaptivity stress gradients convergence damage detection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557596503321 |
Krawczuk Marek
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri
| Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri |
| Autore | Padalkar Milind G. |
| Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
| Descrizione fisica | 1 online resource (170 pages) : illustrations |
| Disciplina | 621.367 |
| Collana | Synthesis lectures on visual computing |
| Soggetto topico |
Image reconstruction
Image processing - Digital techniques Historic sites - Conservation and restoration Statues - Conservation and restoration Inpainting |
| Soggetto non controllato |
super-resolution
inpainting cultural heritage crack detection digital reconstruction |
| ISBN | 1-62705-616-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
1. Introduction -- 1.1 What is super-resolution? -- 1.2 What is inpainting? -- 1.3 Applying super-resolution and inpainting in digital heritage images: challenges and solutions -- 1.4 A tour of the book --
2. Image super-resolution: self-learning, sparsity and Gabor prior -- 2.1 Single-image SR: a unified framework -- 2.1.1 Classical (within-scale) super-resolution -- 2.1.2 Exampled-based (across-scale) super-resolution -- 2.1.3 Unifying classical and example-based SR -- 2.2 Self-learning and degradation estimation -- 2.3 Gabor prior and regularization -- 2.4 Performance evaluation -- 2.4.1 Qualitative evaluation -- 2.4.2 Quantitative evaluation -- 2.5 Conclusion -- 3. Self-learning: faster, smarter, simpler -- 3.1 Efficient self-learning -- 3.1.1 Improved self-learning for super-resolution -- 3.2 Performance evaluation -- 3.2.1 Perceptual and quantitative evaluation -- 3.2.2 Improvements and extensions -- 3.3 Conclusion -- 4. An exemplar-based inpainting using an autoregressive model -- 4.1 Limitation of existing approaches -- 4.2 Proposed approach -- 4.3 Experimental results -- 4.4 Conclusion -- 5. Attempts to improve inpainting -- 5.1 A modified exemplar-based multi-resolution approach -- 5.1.1 Refinement by matching a larger region -- 5.1.2 Refinement using the patch-neighborhood relationship -- 5.1.3 Refinement using compressive sensing framework -- 5.2 Curvature-based approach for inpainting -- 5.3 Observations and conclusion -- 6. Simultaneous inpainting and super-resolution -- 6.1 Need for patch comparison at finer resolution -- 6.2 Proposed approach -- 6.2.1 Constructing image-representative LR-HR dictionaries -- 6.2.2 Estimation of HR patches -- 6.2.3 Simultaneous inpainting and SR of missing pixels -- 6.3 Experimental results -- 6.4 Conclusion -- 7. Detecting and inpainting damaged regions in facial images of statues -- 7.1 Preprocessing -- 7.2 Extraction of eye, nose and lip regions -- 7.3 Classification -- 7.4 Inpainting -- 7.5 Experimental results -- 7.6 Conclusion -- 8. Auto-inpainting cracks in heritage scenes -- 8.1 A simple method for detecting and inpainting cracks -- 8.1.1 Order-statistics-based filtering -- 8.1.2 Scan-line peak difference detection -- 8.1.3 Density-based filtering -- 8.1.4 Refinement -- 8.1.5 Experimental results -- 8.2 Singular value decomposition-based crack detection and inpainting -- 8.2.1 SVD and patch analysis -- 8.2.2 Thresholding -- 8.2.3 Experimental results -- 8.3 Crack detection using tolerant edit distance and inpainting -- 8.3.1 Preprocessing -- 8.3.2 Patch comparison using tolerant edit distance -- 8.3.3 Edge strength calculation -- 8.3.4 Thresholding -- 8.3.5 Refinement -- 8.3.6 Experimental results -- 8.4 Extension to auto-inpaint cracks in videos -- 8.4.1 Homography estimation -- 8.4.2 Reference frame detection -- 8.4.3 Tracking and inpainting cracked regions across frames -- 8.4.4 Experimental results -- 8.5 Conclusion -- 9. Challenges and future directions -- Bibliography -- Authors' biographies. |
| Record Nr. | UNINA-9910155693403321 |
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Padalkar Milind G.
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| [San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optical Sensors for Structural Health Monitoring
| Optical Sensors for Structural Health Monitoring |
| Autore | Antunes Paulo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
image-based measurement
crack measurement shear cracks flexural cracks damage index nuclear power plant visual inspection photometric stereo 3D reconstruction rotating stall non-synchronous blade vibration blade tip timing centrifugal compressor distributed measurements fiber optic sensors scour soil-structure interaction winkler model equivalent length corrosion sensor oil and gas pipelines optical fibers Fiber Bragg Grating (FBG) distributed optical fiber strain sensing cable Brillouin scattering Rayleigh scattering strain sensing cable characterization elasto-plastic behavior strain sensitivity coefficients bridge damage detection fiber optic gyroscope deep learning convolutional neural network Fiber Bragg grating fiber optic sensors embedded in concrete strain measurement monitoring cracking weldable fiber optic sensors optical fiber sensors material extrusion hybrid processes temperature and strain monitoring similarity measure subway tunnel distributed vibration feature extraction autoencoder ultra-weak FBG hyperspectral imaging spectral indices random forest growth stage Fusarium head blight structural health monitoring load localization load estimation depth sensor artificial neural networks castigliano’s theorem crack detection crack opening distributed fiber optic sensors DIC UHPFRC testing SHM microcracking PAD environmental monitoring colorimetric detection water atmosphere |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104003321 |
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Antunes Paulo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Symmetry in Structural Health Monitoring
| Symmetry in Structural Health Monitoring |
| Autore | Yang Yang |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
real-time hybrid simulation
H∞ control time delay mixed sensitivity structural health monitoring deep learning data anomaly detection convolutional neural network time–frequency extraction micro inertial measurement unit (MIMU) variational mode decomposition (VMD) Hilbert–Huang transform (HHT) frequency-domain integration approach (FDIA) torsion angle calculation offshore oil platform self-anchored suspension bridge cable clamp slippage force analysis high formwork ARMA BPNN stress trend prediction crack detection improved YOLOv4 concrete surface substructure shake table testing integration algorithm finite element method damper digital twin prestressed steel structure construction process safety assessment intelligent construction structural health monitoring (SHM) vibration frequency domain time domain time-frequency domain technical codes multiple square loops (MSL)-string seismic excitation dynamic response seismic pulse near and far field three-dimensional laser scanning surface flatness of initial support of tunnel curved surface fitting flatness calculation datum curvedcontinuous girder bridge collision response seismic mitigation pounding mitigation and unseating prevention heavy-duty vehicle road coupling model terrestrial laser scanning RGB genetic algorithm artificial neutral network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580210603321 |
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Yang Yang
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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