Thiene et al., 2016 - Google Patents
Optimal sensor placement for maximum area coverage (MAC) for damage localization in composite structuresThiene et al., 2016
- Document ID
- 12149497360669113622
- Author
- Thiene M
- Khodaei Z
- Aliabadi M
- Publication year
- Publication venue
- Smart materials and structures
External Links
Snippet
In this paper an optimal sensor placement algorithm for attaining the maximum area coverage (MAC) within a sensor network is presented. The proposed novel approach takes into account physical properties of Lamb wave propagation (attenuation profile, direction …
- 239000002131 composite material 0 title abstract description 48
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/24—Probes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/04—Wave modes and trajectories
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/025—Change of phase or condition
- G01N2291/0258—Structural degradation, e.g. fatigue of composites, ageing of oils
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
- G01N29/0654—Imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/10—Number of transducers
- G01N2291/106—Number of transducers one or more transducer arrays
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/041—Analysing solids on the surface of the material, e.g. using Lamb, Rayleigh or shear waves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Thiene et al. | Optimal sensor placement for maximum area coverage (MAC) for damage localization in composite structures | |
Salmanpour et al. | Transducer placement optimisation scheme for a delay and sum damage detection algorithm | |
Wang et al. | Modal strain energy-based structural damage identification: a review and comparative study | |
Wu et al. | Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened composite panel | |
Yan | A Bayesian approach for damage localization in plate-like structures using Lamb waves | |
Salmanpour et al. | Guided wave temperature correction methods in structural health monitoring | |
Yue et al. | Damage detection in large composite stiffened panels based on a novel SHM building block philosophy | |
Falcetelli et al. | Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring | |
Ng | Bayesian model updating approach for experimental identification of damage in beams using guided waves | |
Yu et al. | Lamb wave–based quantitative crack detection using a focusing array algorithm | |
Koduru et al. | Mode controlled guided wave tomography using annular array transducers for SHM of water loaded plate like structures | |
Providakis et al. | Damage detection in concrete structures using a simultaneously activated multi-mode PZT active sensing system: Numerical modelling | |
Liu et al. | Baseline-free damage visualization using noncontact laser nonlinear ultrasonics and state space geometrical changes | |
Memmolo et al. | Damage localization in composite structures using a guided waves based multi-parameter approach | |
CN113720907B (en) | Composite material layered damage identification method for contour and depth sequence identification | |
Fan et al. | Review of piezoelectric impedance based structural health monitoring: Physics-based and data-driven methods | |
Li et al. | Damage localization in composite laminates based on a quantitative expression of anisotropic wavefront | |
Motamed et al. | Optimal sensors layout design based on reference‐free damage localization with lamb wave propagation | |
Yu et al. | Remote monitoring of bond line defects between a composite panel and a stiffener using distributed piezoelectric sensors | |
Zeng et al. | Interference resisting design for guided wave tomography | |
Fakih et al. | Symbolic dynamics time series analysis for assessment of barely visible indentation damage in composite sandwich structures based on guided waves | |
Wang et al. | Identification of damage in composite structures using Gaussian mixture model-processed Lamb waves | |
Zárate et al. | Structural health monitoring of liquid-filled tanks: a Bayesian approach for location of acoustic emission sources | |
Si et al. | Online structural state assessment for aerospace composite structures using an acousto-ultrasonics-based multi-damage index identification approach | |
Memmolo et al. | Assessment of Damage in Composite Pressure Vessels Using Guided Waves |