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会议文集


文集名Model Validation and Uncertainty Quantification, Volume 3
会议名41st IMAC, A Conference and Exposition on Structural Dynamics
中译名《第四十一届国际模态分析会议：模型验证与不确定性量化，卷3》
机构Society for Experimental Mechanics (SEM)
会议日期February 13-16, 2023
会议地点Austin, Texas, USA
出版年2024
馆藏号348758


题名作者出版年
Chapter 1 Introducing a Round-Robin Challenge to Quantify Model Form Uncertainty in Passive and Active Vibration IsolationRoland Platz; Xinyue Xu; Sez Atamturktur2024
Chapter 2 An Uncertainty-Aware Measure of Model Calibration FlexibilityXinyue Xu; Yang Yu; Roland Platz; Sez Atamturktur2024
Chapter 3 Quantifying Model Form Uncertainty in Spring-Mass-Damper SystemsRileigh Bandy; Rebecca Morrison2024
Chapter 4 Event Detection Using Floor Vibrations with a Probabilistic FrameworkYohanna MejiaCruz; Juan M. Caicedo; Zhaoshuo Jiang; Jean M. Franco2024
Chapter 5 Advancing Model Credibility for Linked Multi-physics Surrogate Models Within a Coupled Digital Engineering Workflow of Nuclear Deterrence SystemsSofie W. Schunk; Shane McMurray; Jake A. Gonzales2024
Chapter 6 Estimating the Effect of Noise on Various ARMA-Based Damage-Sensitive FeaturesEmmett Lepp; Thomas Matarazzo2024
Chapter 7 Bayesian Model Updating for System and Damage Identification of Bridges Using Synthetic and Field Test DataNiloofar Malekghaini; Farid Ghahari; Hamed Ebrahimian; Vinayak Sachidanandam; Eric Ahlberg; Matthew Bowers; Ertugrul Taciroglu2024
Chapter 8 Static and Dynamic Characterization of a Vibration Decoupling Element Based on a Metamaterial StructureAlessandro Annessi; Valentina Zega; Paolo Chiariotti; Milena Martarelli; Paolo Castellini2024
Chapter 9 Incorporating Uncertainty in Mechanics-Based Synthetic Data Generation for Deep Learning-Based Structural MonitoringM. Cheraghzade; M. Roohi2024
Chapter 10 Aerodynamic Load Estimation in Wind Turbine Drivetrains Using a Bayesian Data Assimilation ApproachMohammad Valikhani; Vahid Jahangiri; Hamed Ebrahimian; Sauro Liberatore; Babak Moaveni; Eric Hines2024
Chapter 11 Rail Roughness Profile Identification from Vibration Data via Mixing of Reduced-Order Train Models and Bayesian FilteringCharikleia D. Stoura; Konstantinos E. Tatsis; Eleni N. Chatzi2024
Chapter 12 Optimal Sensor Placement for Developing Reliable Digital Twins of StructuresTulay Ercan; Costas Papadimitriou2024
Chapter 13 DataSEA: Mature, Modern Data Management Enabling Sustainable Data StrategyJustin Wu; Stephen C. Jackson2024
Chapter 14 Optimal Sensor Placement Considering Operational Sensor Failures for Structural Health Monitoring ApplicationsMayank Chadha; Yichao Yang; Zhen Hu; Michael D. Todd2024
Chapter 15 Sequential Harmonic Component Tracking for Underdetermined Blind Source Separation in a Multitarget Tracking FrameworkRomain Delabeye; Martin Ghienne; Jean-Luc Dion2024
Chapter 16 Physics-Based Corrosion Reliability Analysis of Miter Gates Using Multi-scale Simulations and Adaptive Surrogate ModelingGuofeng Qian; Zhen Hu; Michael D. Todd2024
Chapter 17 Adaptive Randomized Sketching for Dynamic Nonsmooth OptimizationRobert J. Baraldi; Evelyn Herberg; Drew P. Kouri; Harbir Antil2024
Chapter 18 Predicting Nonlinear Structural Dynamic Response of ODE Systems Using Constrained Gaussian Process RegressionYishuang Wang; Yang Yu; Xinyue Xu; Sez Atamturktur2024
Chapter 19 Probabilistic Model Updating for Structural Health Monitoring Using a Likelihood-Free Bayesian Inference MethodJice Zeng; Michael D. Todd; Zhen Hu2024
Chapter 20 Deep Learning for Image Segmentation and Subsurface Damage Detection Based on Full-Field Surface StrainsAshish Pal; Wei Meng; Satish Nagarajaiah2024
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