001447988 000__ 04704cam\a2200589Ii\4500 001447988 001__ 1447988 001447988 003__ OCoLC 001447988 005__ 20230310004216.0 001447988 006__ m\\\\\o\\d\\\\\\\\ 001447988 007__ cr\un\nnnunnun 001447988 008__ 220708s2022\\\\sz\a\\\\o\\\\\100\0\eng\d 001447988 019__ $$a1334890964 001447988 020__ $$a9783031041228$$q(electronic bk.) 001447988 020__ $$a3031041224$$q(electronic bk.) 001447988 020__ $$z9783031041211 001447988 020__ $$z3031041216 001447988 0247_ $$a10.1007/978-3-031-04122-8$$2doi 001447988 035__ $$aSP(OCoLC)1334661987 001447988 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ 001447988 049__ $$aISEA 001447988 050_4 $$aTA345 001447988 08204 $$a620.00285/574$$223/eng/20220713 001447988 1112_ $$aInternational Modal Analysis Conference$$n(40th :$$d2022) 001447988 24510 $$aData science in engineering.$$nVolume 9 :$$bproceedings of the 40th IMAC, a conference and exposition on structural dynamics 2022 /$$cRamin Madarshahian, Francois Hemez, editors. 001447988 24630 $$a40th IMAC 001447988 264_1 $$aCham :$$bSpringer,$$c[2022] 001447988 264_4 $$c©2022 001447988 300__ $$a1 online resource :$$billustrations (chiefly color). 001447988 336__ $$atext$$btxt$$2rdacontent 001447988 337__ $$acomputer$$bc$$2rdamedia 001447988 338__ $$aonline resource$$bcr$$2rdacarrier 001447988 4901_ $$aConference proceedings of the Society for Experimental Mechanics series 001447988 500__ $$aInternational conference proceedings. 001447988 5050_ $$aChapter 1. Model Updating for Nonlinear Dynamic Digital Twins Using Data-Based Inverse Mapping Models -- Chapter 2. Deep Reinforcement Learning for Active Structure Stabilization -- Chapter 3. Estimation of Structural Vibration Modal Properties Using a Spike-Based Computing Paradigm -- Chapter 4. Environmental-Insensitive Damage Features Based on Transmissibility Coherence -- Chapter 5. Transmittance Anomalies for Model-Based Damage Detection with Finite Element Generated Data and Deep Learning -- Chapter 6. Machine Learning based Condition Monitoring with Multibody Dynamics Models for Gear Transmission Faults -- Chapter 7. Structural Damage Detection Framework Using Metaheuristic Algorithms and Optimal Finite Element Modeling -- Chapter 8. On Aspects of Geometry in SHM and Population-Based SHM -- Chapter 9. A Robust PCA-based Framework for Long-Term Condition Monitoring of Civil Infrastructures -- Chapter 10. Data-Driven Parameter Identification for Turbomachinery Blisks -- Chapter 11. Classification of Rail Irregularities from Axle Box Accelerations using Random Forests and Convolutional Neural Networks -- Chapter 12. Development of a Surrogate Model for Structural Health Monitoring of a UAV Wing Spar -- Chapter 13. On a Description of Aeroplanes and Aeroplane Components using Irreducible Element Models -- Chapter 14. Input Estimation of Four-DOF Nonlinear Building Using Probabilistic Recurrent Neural Network -- Chapter 15. Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques -- Chapter 16. Synthesizing Dynamic Time-series Data for Structures Under Shock Using Generative Adversarial Networks -- Chapter 17. Multi-Layer Input Deep Learning Applied to Ultrasonic Wavefield Measurements. 001447988 506__ $$aAccess limited to authorized users. 001447988 520__ $$aData Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics. 001447988 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 13, 2022). 001447988 650_0 $$aEngineering$$xDatabases$$vCongresses. 001447988 650_0 $$aStructural engineering$$xData processing$$vCongresses. 001447988 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001447988 655_7 $$aConference papers and proceedings.$$2lcgft 001447988 655_0 $$aElectronic books. 001447988 7001_ $$aMadarshahian, Ramin,$$eeditor.$$1https://isni.org/isni/0000000498994356 001447988 7001_ $$aHemez, Francois,$$eeditor. 001447988 77608 $$iPrint version: $$z3031041216$$z9783031041211$$w(OCoLC)1304813973 001447988 830_0 $$aConference proceedings of the Society for Experimental Mechanics series. 001447988 852__ $$bebk 001447988 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04122-8$$zOnline Access$$91397441.1 001447988 909CO $$ooai:library.usi.edu:1447988$$pGLOBAL_SET 001447988 980__ $$aBIB 001447988 980__ $$aEBOOK 001447988 982__ $$aEbook 001447988 983__ $$aOnline 001447988 994__ $$a92$$bISE