Structural health monitoring/management (SHM) in aerospace structures /
Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM) Management.
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| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cambridge, MA :
Woodhead Publishing, an imprint of Elsevier,
[2024]
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| Colecção: | Woodhead Publishing series in composites science and engineering.
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| Assuntos: | |
| Acesso em linha: | ScienceDirect |
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| 020 | |a 0443191492 |q electronic book | ||
| 020 | |a 9780443191497 |q (electronic bk.) | ||
| 020 | |z 9780443154768 | ||
| 020 | |z 0443154767 | ||
| 035 | |a (OCoLC)1432652781 | ||
| 050 | 4 | |a TA656.6 |b .S87 2024 | |
| 082 | 0 | 4 | |a 624.171 |2 23/eng/20240510 |1 https://id.oclc.org/worldcat/ddc/E39rywRdTMthjFB6dpFKxj8wFJ |
| 245 | 0 | 0 | |a Structural health monitoring/management (SHM) in aerospace structures / |c edited by Fuh-Gwo Yuan. |
| 264 | 1 | |a Cambridge, MA : |b Woodhead Publishing, an imprint of Elsevier, |c [2024] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Woodhead publishing series in composites science and engineering | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on June 12, 2024). | ||
| 505 | 0 | |a Intro -- Structural Health Monitoring/Management(SHM) in Aerospace Structures -- Copyright -- Contents -- Contributors -- Preface -- Part One: Implementation of SHM technology in civil aviation -- Chapter 1: Overview of SHM in airline maintenance: Challenges and opportunities -- 1.1. What is SHM? -- 1.2. Why SHM? -- 1.3. History of SHM in civil aviation -- 1.4. Technologies/techniques -- 1.5. Variations of SHM -- 1.6. Examples of SHM applications in service -- 1.7. Piece of the puzzle: Technical -- 1.8. Piece of the puzzle: Procedural -- 1.9. Piece of the puzzle: Financial -- 1.10. Piece of the puzzle: Regulatory -- 1.11. Challenges and opportunities -- References -- Part Two: Recent advances in SHM/NDE techniques -- Chapter 2: NDE in metal additive manufacturing: Survey -- 2.1. Introduction -- 2.2. Metal AM -- 2.2.1. Directed energy deposition -- 2.2.2. Powder bed fusion -- 2.3. NDE for metal AM -- 2.3.1. Preprocessing NDE investigation -- 2.3.2. Postprocessing NDE investigation -- 2.3.3. In situ NDE investigation -- 2.4. Applications: Vision and laser scanning-based NDE for AM -- 2.4.1. Geometry monitoring using laser line scanner -- 2.4.2. Porosity monitoring using vision camera -- 2.5. Applications: Thermographic NDE for AM -- 2.5.1. Lack-of-fusion detection using off-axial thermography -- 2.5.2. Melt pool depth monitoring using coaxial thermography -- 2.6. Applications: Ultrasonic NDE for AM -- 2.6.1. Lack-of-fusion detection using ultrasonic imaging -- 2.6.2. Porosity inspection using transient thermoreflectance -- 2.6.3. Mechanical property estimation using ultrafast laser ultrasonics -- 2.7. Summary -- Acknowledgment -- References -- Chapter 3: Composite sandwich structures: Damage detection and assessment using ultrasonic guided waves -- 3.1. Introduction -- 3.1.1. Sandwich structures -- 3.1.2. Types -- 3.1.3. Manufacturing. | |
| 505 | 8 | |a 3.1.4. Applications -- 3.2. Nondestructive evaluation -- 3.2.1. Overview -- 3.2.2. Traditional inspection methods -- 3.2.3. Nondestructive evaluation to structural health monitoring -- 3.2.4. Ultrasonic guided waves -- 3.2.5. Sensor networks -- 3.2.5.1. Modeling and optimization for sensor network design -- 3.2.5.2. Literature studies -- 3.2.5.3. A case study for sensor network optimization: PZT wafers -- 3.3. Structural health monitoring -- 3.3.1. Sensing -- 3.3.2. Data processing algorithms -- 3.3.2.1. Physics-based -- Data fusion and damage identification algorithms -- Tomography -- Migration technique -- Phased arrays -- Probability-based diagnostic imaging -- Time reversal -- Signal magnitude -- Signal correlation -- 3.3.2.2. Data-driven approaches -- Support vector machine -- Artificial neural network -- 3.3.3. Case study: Application of SHM on sandwich structures -- 3.3.3.1. Overview -- 3.3.3.2. Experimental setup -- 3.3.3.3. Proposed methodology -- Data preprocessing -- Employed anomaly measures -- Frequency fusion of single DIs -- Frequency and damage-index fusion: Total anomaly -- Data fusion and damage localization -- 3.3.3.4. Results and discussion -- Damage localization: Frequency fusion -- Damage localization: Frequency and damage-index fusion -- 3.3.3.5. Summary of the case study -- 3.4. Conclusions -- References -- Chapter 4: Recent advances in loads/strain monitoring: A review -- 4.1. Introduction -- 4.2. Strain sensors -- 4.3. Detection of local damages -- 4.4. Global detection of damage by strain measurements -- 4.4.1. Comparison of algorithms for damage detection (PCA vs ANN) -- 4.4.1.1. Benefits of PCA (principal component analysis) -- 4.4.1.2. Benefits of artificial neural networks (ANNs) -- 4.5. Final remarks -- References -- Chapter 5: Overview of phase array technology in SHM -- 5.1. Introduction. | |
| 505 | 8 | |a 7.3.2.2. Frequency-wavenumber (f-k) domain representation -- 7.3.3. Filtering -- 7.3.3.1. Wavelet-aided filtering -- 7.3.3.2. Frequency-wavenumber (f-k) filtering -- 7.4. Imaging conditions -- 7.4.1. Amplitude-based imaging conditions -- 7.4.2. Energy-based imaging conditions -- 7.4.2.1. Single-point time-frequency analysis -- 7.4.2.2. Root mean squares energy -- 7.4.2.3. Weighted root mean squares energy method -- 7.4.2.4. Cumulative standing wave energy method -- 7.4.3. Phased-based imaging conditions -- 7.4.3.1. Zero-lag cross-correlation -- 7.4.3.2. Inverse incident wave energy -- 7.4.3.3. Riesz transform -- Monogenic signal through Riesz transform -- Riesz transform as a phase estimator from synthetic image -- 7.4.4. Spatial gradient and curvature-based imaging conditions -- 7.4.5. Wavenumber-based imaging -- 7.4.5.1. Local wavenumber -- 7.4.5.2. Instantaneous wavenumber -- 7.5. Aerospace applications of noncontact field measurement techniques -- 7.5.1. Dispersion characterization and wave phenomenon studies -- 7.5.2. Metallic plates -- 7.5.2.1. Corrosion and thickness thinning -- 7.5.2.2. Narrowly cut notches and cracks -- 7.5.2.3. Fatigue cracks -- 7.5.3. Composite laminates -- 7.5.4. Honeycomb composite panels -- 7.5.4.1. Experimental setup for optical field imaging -- 7.5.5. Foam-core sandwich composites -- 7.6. Challenges and opportunities -- 7.6.1. More complex structures or environments -- 7.6.2. Practicality -- References -- Chapter 8: State-of-the-art in eddy current techniques for damage detection of composite bolted joints -- 8.1. SHM technologies of bolted joints -- 8.2. Eddy current sensing film for hole-edge damage detection in metal bolted joints -- 8.3. Eddy current sensing array for damage detection in CFRP bolted joints -- 8.3.1. Eddy current in the CFRP laminates. | |
| 520 | |a Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM) Management. | ||
| 650 | 0 | |a Structural health monitoring. | |
| 650 | 6 | |a Surveillance de l'état des structures. |0 (CaQQLa)000264228 | |
| 650 | 7 | |a Structural health monitoring |2 fast |0 (OCoLC)fst01748414 | |
| 700 | 1 | |a Yuan, Fuh-Gwo. | |
| 776 | 0 | 8 | |i Print version: |z 0443154767 |z 9780443154768 |w (OCoLC)1381294798 |
| 830 | 0 | |a Woodhead Publishing series in composites science and engineering. | |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443154768 |