Toso et al., 2016 - Google Patents
A smart force platform using artificial neural networksToso et al., 2016
- Document ID
- 7404704736173811685
- Author
- Toso M
- Gomes H
- Publication year
- Publication venue
- Measurement
External Links
Snippet
The human body may interact with structures and these interactions are developed through the application of contact forces, for instance when walking. The aim of this paper is to propose a new methodology using Artificial Neural Network (ANN) for calibrating a force …
- 230000001537 neural 0 title abstract description 41
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress in general
- G01L1/20—Measuring force or stress in general by measuring variations in ohmic resistance of solid materials or of electrically-conductive fluids; by making use of electro-kinetic cells, i.e. liquid-containing cells wherein an electrical potential is produced or varied upon the application of stress
- G01L1/22—Measuring force or stress in general by measuring variations in ohmic resistance of solid materials or of electrically-conductive fluids; by making use of electro-kinetic cells, i.e. liquid-containing cells wherein an electrical potential is produced or varied upon the application of stress using resistance strain gauges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/445—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons in a horizontal position
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress in general
- G01L1/14—Measuring force or stress in general by measuring variations in capacitance or inductance of electrical elements, e.g. by measuring variations of frequency of electrical oscillators
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress in general
- G01L1/24—Measuring force or stress in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infra-red, visible light, ultra-violet
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, e.g. due to impact, work, mechanical power, or torque, adapted for special purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Oh et al. | Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings | |
| KR101965879B1 (en) | Ann-based sustainable strain sensing model system, structural health assessment system and method | |
| Zhao et al. | Digital modeling approach of distributional mapping from structural temperature field to temperature-induced strain field for bridges | |
| Saltan et al. | Artificial neural networks–based backcalculation of the structural properties of a typical flexible pavement | |
| Catbas et al. | Predictive analysis by incorporating uncertainty through a family of models calibrated with structural health-monitoring data | |
| Pataky | Spatial resolution in plantar pressure measurement revisited | |
| Saltan et al. | Modeling deflection basin using artificial neural networks with cross-validation technique in backcalculating flexible pavement layer moduli | |
| Fu et al. | Liver tissue characterization from uniaxial stress–strain data using probabilistic and inverse finite element methods | |
| Hamim et al. | Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data | |
| Soman et al. | A System Identification Methodology to monitor construction activities using structural responses | |
| Zhu et al. | Real-time digital twin updating strategy based on structural health monitoring systems | |
| Seo et al. | Integrated structural health monitoring system and multi-regression models for determining load ratings for complex steel bridges | |
| Toso et al. | A smart force platform using artificial neural networks | |
| Chinimilli et al. | Hysteresis compensation for ground contact force measurement with shoe-embedded air pressure sensors | |
| Jafari | System identification of a soil tunnel based on a hybrid artificial neural network–numerical model approach | |
| Kučerová et al. | Soft computing-based calibration of microplane M4 model parameters: Methodology and validation | |
| Gong et al. | Rolling bearings remaining useful life estimation using digital twin and physics-informed methods with uncertainty quantification | |
| CN120524560A (en) | A stress analysis method for bridge jacking construction | |
| Gopalakrishnan et al. | Finite element based adaptive neuro‐fuzzy inference technique for parameter identification of multi‐layered transportation structures | |
| Bibbo et al. | A novel technique to design and optimize performances of custom load cells for sport gesture analysis | |
| EP4028742B1 (en) | Apparatus for measuring soil contact stresses | |
| CN117473834A (en) | Durability evaluation method and system for semi-rigid base of cement-stabilized laterite gravel | |
| Fritz et al. | Piezoresistive sensors for monitoring actions on structures | |
| Meshchikhin et al. | The application of elements of information theory to the problem of rational choice of measuring instruments | |
| Liu et al. | Weighing Error Compensation for Truck Scales Based on IGWO–LMBP Neural Network |