Related references
Note: Only part of the references are listed.Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
Kevin Linka et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)
Translation of three-dimensional printing for orthopedic devices
M. Kumar et al.
MRS BULLETIN (2022)
Physics-informed neural networks (PINNs) for fluid mechanics: a review
Shengze Cai et al.
ACTA MECHANICA SINICA (2021)
A review of artificial neural networks in the constitutive modeling of composite materials
Xin Liu et al.
COMPOSITES PART B-ENGINEERING (2021)
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation
E. Lejeune et al.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2021)
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework
Mohammadamin Mahmoudabadbozchelou et al.
JOURNAL OF RHEOLOGY (2021)
nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling
Mohammadamin Mahmoudabadbozchelou et al.
SOFT MATTER (2021)
Physics-Informed Neural Networks for Heat Transfer Problems
Shengze Cai et al.
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME (2021)
A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structures
Adnan Kefal et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches
Wei Li et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
Weiqi Ji et al.
JOURNAL OF PHYSICAL CHEMISTRY A (2021)
Novel Sensing Approaches for Structural Deformation Monitoring and 3D Measurements
Moises J. Castro-Toscano et al.
IEEE SENSORS JOURNAL (2021)
Shape sensing of variable cross-section beam using the inverse finite element method and isogeometric analysis
Feifei Zhao et al.
MEASUREMENT (2020)
Physics-Informed Neural Networks for Cardiac Activation Mapping
Francisco Sahli Costabal et al.
FRONTIERS IN PHYSICS (2020)
Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data
Luning Sun et al.
THEORETICAL AND APPLIED MECHANICS LETTERS (2020)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Consistently fitting orthopedic casts
Cong Rao et al.
COMPUTER AIDED GEOMETRIC DESIGN (2019)
Influences and trends of various shape-capture methods on outcomes in trans-tibial prosthetics: A systematic review
Eddie Suyi Yang et al.
PROSTHETICS AND ORTHOTICS INTERNATIONAL (2019)
Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection - A review
Dongming Feng et al.
ENGINEERING STRUCTURES (2018)
Shape sensing methods: Review and experimental comparison on a wing-shaped plate
Marco Gherlone et al.
PROGRESS IN AEROSPACE SCIENCES (2018)
Structural health monitoring for mechanical structures using multi-sensor data
Jia-Wei Xiang et al.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2018)
Hybrid Blockchain and Internet-of-Things Network for Underground Structure Health Monitoring
Byung Wan Jo et al.
SENSORS (2018)
Modeling of Sensor Placement Strategy for Shape Sensing and Structural Health Monitoring of a Wing-Shaped Sandwich Panel Using Inverse Finite Element Method
Adnan Kefal et al.
SENSORS (2017)
Structural Health Monitoring Framework Based on Internet of Things: A Survey
C. Jr. Arcadius Tokognon et al.
IEEE INTERNET OF THINGS JOURNAL (2017)
An enhanced inverse finite element method for displacement and stress monitoring of multilayered composite and sandwich structures
Adnan Kefal et al.
COMPOSITE STRUCTURES (2017)
Displacement and stress monitoring of a chemical tanker based on inverse finite element method
Adnan Kefal et al.
OCEAN ENGINEERING (2016)
Displacement and stress monitoring of a Panamax containership using inverse finite element method
Adnan Kefal et al.
OCEAN ENGINEERING (2016)
A quadrilateral inverse-shell element with drilling degrees of freedom for shape sensing and structural health monitoring
Adnan Kefal et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2016)
A novel approach for displacement and stress monitoring of sandwich structures based on the inverse Finite Element Method
Priscilla Cerracchio et al.
COMPOSITE STRUCTURES (2015)
On robust regression analysis as a means of exploring environmental and operational conditions for SHM data
N. Dervilis et al.
JOURNAL OF SOUND AND VIBRATION (2015)
Application study on FBG sensor applied to hull structural health monitoring
Wei Shen et al.
OPTIK (2015)
An inverse finite element method for beam shape sensing: theoretical framework and experimental validation
Marco Gherlone et al.
SMART MATERIALS AND STRUCTURES (2014)
Shape sensing of 3D frame structures using an inverse Finite Element Method
Marco Gherlone et al.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2012)
A CONSISTENT REFINEMENT OF FIRST-ORDER SHEAR DEFORMATION THEORY FOR LAMINATED COMPOSITE AND SANDWICH PLATES USING IMPROVED ZIGZAG KINEMATICS
Alexander Tessler et al.
JOURNAL OF MECHANICS OF MATERIALS AND STRUCTURES (2010)
Fiber-optic intrinsic distributed acoustic emission sensor for large structure health monitoring
Sheng Liang et al.
OPTICS LETTERS (2009)
Structural health monitoring of civil infrastructure
J. M. W. Brownjohn
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)
A least-squares variational method for full-field reconstruction of elastic deformations in shear-deformable plates and shells
A Tessler et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2005)