MAUL-THEET nimmt vom 19. bis 22. Januar 2026 an der IMAC XLIV in Palm Springs teil – inklusive Pre-Conference Courses vom 17. bis 18. Januar. Als eine der wichtigsten Konferenzen rund um Strukturdynamik und Schwingungstechnik ist die IMAC für uns ein Pflichttermin: Hier treffen sich Entwickler, Anwender, Hersteller und Forschungsteams, um neueste Methoden, Messtechnik und Prüfanwendungen zu diskutieren – flankiert von einer starken Expo.
Besonders spannend für unsere Branche und unsere Kunden ist dieses Jahr das Leitmotiv „Digitizing our Reality“: Digitale Modelle sollen nicht nur hübsch aussehen, sondern modellieren, visualisieren, vorhersagen und interaktiv nutzbar werden – sprich: Digitale Zwillinge, die in der Realität bestehen müssen. Genau da liegen aktuell viele praktische Fragen, die für Prüfstände, Validierung und Produktentwicklung entscheidend sind: Wie koppeln wir Messdaten robust mit Simulation? Wie quantifizieren wir Unsicherheiten? Wie zuverlässig sind Prognosen bei variablen Randbedingungen und nichtlinearem Verhalten?
Für MAUL-THEET sind vor allem diese Themen- und Schwerpunktbereiche besonders relevant:
- Model Validation and Uncertainty Quantification: belastbare Modellgüte, Parameteridentifikation, probabilistische Ansätze – wichtig, wenn Messergebnisse und Simulationen wirklich entscheidungsfähig werden sollen
- Data Science/ML in Engineering: Datenfusion, zustandsbasierte Auswertung, Prognostik – überall dort, wo aus vielen Kanälen (Sensorik, DAQ, Betrieb) verwertbare Aussagen entstehen sollen
- Dynamic Environments and Durability Testing: realitätsnahe Schwingprofile, MIMO/Transient-Tests, Fixture-Design – klassisches Terrain für effiziente, reproduzierbare Prüfsysteme
- Sensors and Instrumentation: neue Sensorik, drahtlose Schwingungssensoren, robuste Signalverarbeitung – relevant für Monitoring, schnelle Setups und skalierbare Messkampagnen
- Optical measurement methods: Computer Vision, DIC (Digital Image Correlation) und Laservibrometrie – super, wenn kontaktlose Messung, schnelle Feldaufnahmen oder schwierige Geometrien im Spiel sind
- Nonlinear Dynamics and Model Reduction: wenn Reibstellen, Fügungen, Kontakte oder große Amplituden die Realität bestimmen – und lineare Modelle allein nicht mehr tragen
Ein inhaltliches Highlight ist für uns der Fokus auf probabilistische Digitale Zwillinge (Keynote), die Unsicherheit nicht verstecken, sondern explizit mitführen – genau das, was man braucht, wenn man aus Messung und Simulation verlässliche Aussagen für Entwicklung und Qualität ableiten will.
Wir nutzen die IMAC gezielt, um uns mit Partnern, Kunden und potenziellen Projektteams auszutauschen, neue Kooperationsideen zu diskutieren und frische Impulse für Messtechnik, Schwingungsanalyse und Prüfanwendungen mitzunehmen. Wenn Sie ebenfalls vor Ort sind: Sprechen Sie uns gerne an – wir freuen uns auf Gespräche über konkrete Systemlösungen, moderne Test-Setups und alles, was Strukturdynamik in der Praxis messbar besser macht.
RIVERA RESORT & SPA PALM SPRINGS
1600 North Indian Canyon Drive
Palm Springs, CA 92262
USA
Registrierung: tagesabhängig
Ausstellung: tagesabhängig
Programmplan
Montag, 19. Januar
10:40 – 12:20 — 03. MIMO Techniques (Royal3)
• 10:40 – 11:00 A Brief History of Frame-Based MIMO Testing
• 11:00 – 11:20 A Pareto-optimal Approach to Selecting Target Cross-Spectra for Random Vibration Testing
• 11:20 – 11:40 Force Transducer Integration in a MIMO Test Frame and Potential Applications
• 11:40 – 12:00 Non-mass Loaded Excitation Technique for Precise Laser Measurements
10:40 – 12:20 — 04. Smart Dynamic Testing (El Dorado1)
• 10:40 – 11:00 Smart Dynamic Testing of Aero Engine Externals: Challenges and Directions
• 11:00 – 11:20 Application of the Impedance Matched Multi-Axis Testing Theme of Smart Dynamic Testing
• 11:20 – 11:40 A Recommended Procedure and Best Practices for MIMO Vibration Testing
10:40 – 12:20 — 05. Introduction to Model Validation and Uncertainty Quantification (El Dorado2)
• 10:40 – 11:20 Model Validation and Uncertainty Quantification: An Introductory Tutorial
• 11:20 – 11:40 Structural Identification and Bayesian Model Updating of a Five-Story Building in New Zealand
• 11:40 – 12:00 Toward Parsimony in Model Calibration: Trade-off between Goodness-of-Fit and Generalizability
13:50 – 15:30 — 12. Model Validation for Digital Twinning (El Dorado2)
• 13:50 – 14:10 Adaptive Reduced Order Model Selection in Engineering Decision Support
• 14:10 – 14:30 Online Input-State-Parameter Estimation for Civil Infrastructure
• 14:30 – 14:50 Intelligent Digital Twin Assembly Leveraging Bayesian Classification
• 14:50 – 15:10 Hierarchical Gaussian Process Modeling of Modal Quantities Residuals for Bayesian Updating of Structural Systems
• 15:10 – 15:30 Automated Correlation of Simulations and Experiments for Digital Twin Development
Dienstag, 20. Januar
09:00 – 10:20 — 22. Modal Testing (Royal1)
• 09:00 – 09:20 Localized Coordinate System Optimization for Modal Pretest Analysis for Extreme Reduced Sensor Count
• 09:20 – 09:40 Modal Survey Testing Using Combined Acoustic and Conventional Excitation Techniques
• 09:40 – 10:00 Correlation & Orthogonality – What Do the Numbers Mean? – Use, Misuse and Confusion
• 10:00 – 10:20 Guided Analysis Tools for Highly Efficient Impact Testing and Modal Parameter Estimation
16:20 – 18:20 — 40. Uncertainty Quantification and Propagation in Structural Dynamics (El Dorado2)
• 16:20 – 16:40 Evolution of Modal Characteristics and Model Comparison for a 10-Story Cold-Formed Steel Framed Building under Seismic Excitation
• 16:40 – 17:00 Modal Identification of Rooftop Mechanical Equipment with Different Attachment Designs on a Full-Scale Ten-Story Shake Table-Tested Building
• 17:00 – 17:20 Exploring Variability of Modal Parameters of an Offshore Wind Turbine: Effect of Operating Conditions and System Identification Choices
• 17:20 – 17:40 System Identification of a 10-story Cold-Formed Steel Building: Systematic Study Considering Sensor Distribution and Changes in Ambient Conditions
Mittwoch, 21. Januar
09:00 – 10:40 — 45. Optical Systems for SHM, NDI, and Machine Learning (Royal3)
• 09:00 – 09:20 Interactive AI-based Framework for Automated Damage Augmentation on Limited SHM Datasets
• 09:20 – 09:40 Simple Equipment Location Inspection Methods Using Train Forward-View Images with a Smartphone Monocular Camera
• 09:40 – 10:00 Full-field ODS Magnification using a Convolutional Neural Network
• 10:00 – 10:20 Robust Crack Detetion on Pressed Panels via Unsupervised Deep Learning and Multi-Scale Edge Shape Analysis
• 10:20 – 10:40 Vision Based State Estimation of a Serial Manipulator
09:00 – 10:40 — 46. DET Experimental Techniques (El Dorado1)
• 09:00 – 09:20 Investigating Three-Axis Shock and Vibration with a “Supplemental Shaker” Frame
• 09:20 – 09:40 Combined Electromagnetic and Piezoelectric Shaker System for High Frequency Environment Testing
• 09:40 – 10:00 NASA Armstrong’s Thermal Vibration Test System (TVTS) Pathfinder Capability
• 10:00 – 10:20 Benefits of Measured Forces in a MIMO Test Frame on Model Validation
• 10:20 – 10:40 Structural Response Characterization Under Multi-Axis Excitation via Video Motion Magnification
09:00 – 10:40 — 47. Bayesian Methods (El Dorado2)
• 09:00 – 09:20 Uncertainty Quantification of Site Effects Models Using A Bayesian Framework with Experimental Data from Strong-Motion Stations in Japan
• 09:20 – 09:40 From Data to Decision: Evaluating the Dangers and Benefits of Reliance on a Flexible Discrepancy Term in Model Calibration
• 09:40 – 10:00 Accounting for Spatiotemporal Factors: Time-input State-aware Bayesian Calibration of Computer Models of Engineering Systems
• 10:00 – 10:20 Bayesian Finite Element Model Updating in the Modal Domain via Integration of Normalizing Flows with Markov Chain Monte Carlo
• 10:20 – 10:40 Structural Response Characterization Under Multi-Axis Excitation via Video Motion Magnification
15:50 – 17:30 — 65. Reduced Order Modeling and Substructuring (Royal2)
• 15:50 – 16:10 A Rubin-Based Reduced Order Model for Mistuned Bladed Disks: A Physically Interpretable and Experimentally Compatible Approach
• 16:10 – 16:30 Software Agnostic Hurty/Craig-Bampton Dynamic Model Reduction
15:50 – 17:30 — 66. DIC and Dynamics of Rotating Structures (Royal3)
• 15:50 – 16:10 Handling Large Rotational Motion with Optical-flow
• 16:10 – 16:30 Vibration Measurement of a Rotating Structure Using an Image-Based Tracking Continuously Scanning Laser Doppler Vibrometer with a Misalignment Angle
• 16:30 – 16:50 Optical Motion Magnification for Vibration-based Condition Monitoring of Hydroelectric Turbines
• 16:50 – 17:10 Modal Analysis of Rotating Blisks using Low-speed Digital Image Correlation
Donnerstag, 22. Januar
11:10 – 12:50 — 80. Computer Vision (Royal3)
• 11:10 – 11:30 Camera-Based OMA and Modal Shapes Magnification: A Full-Field Approach Using Phase Information
• 11:30 – 11:50 A Brief Review of Computer Vision Technology in Pavement Management
• 11:50 – 12:10 Mode-Shape Identification of Representative Samples with Digital Image Correlation
• 12:10 – 12:30 Mapping the Nonlinear Vibration Responses of Composite Aerospace Structures during Endurance and Qualification Testing
• 12:30 – 12:50 Superpixel Virtual Sensor Grids for Vision-based Full-field Vibration Measurement
13:50 – 15:30 — 87. Laser Vibrometry and DIC Applications (Royal3)
• 13:50 – 14:10 Towards Differential Laser Doppler Vibrometer Measurements using Flyable Mirrors for the Vibration Assessment of Remote Structures
• 14:10 – 14:30 Multi Channel Laser Radar for Acousto-seimics
• 14:30 – 14:50 Optimization of Flatbed UV-Printed Digital Image Correlation Speckle Patterns for Microscale Strain Mapping
