Structural Dynamics Research

Simulation Technologies for Dynamic Testing

Developing digital-twin methods that represent the coupled behavior of electrodynamic shakers, test fixtures, and test articles to improve vibration-test planning and fixture design.

Structural Dynamics Digital Twins MIMO Testing University Research
Digital Twin Progression Image

Research Snapshot

A multi-year research program connecting simulation, laboratory testing, and fixture design.

Research Area

Structural Dynamics

Application

Environmental Vibration Testing

Primary Role

Research Direction and Technical Collaboration

Program Duration

Multi-Year and Continuing

The Testing Problem

A shaker may have adequate capacity and still fail to reproduce the required vibration environment.

Electrodynamic vibration shakers use closed-loop feedback control to generate and maintain a specified frequency-response environment throughout a test.

In practice, the control system is not always able to reach the required amplitudes across the complete frequency range. The limitation may result from shaker capacity, fixture flexibility, test-article dynamics, mounting conditions, control locations, or interaction among several of these factors.

Changing how a test article is mounted can sometimes resolve the problem. However, without a predictive method, fixture and mounting changes become a costly process of trial and error.

Conventional finite element analysis can reveal fixture modes within the test frequency range, but a fixture-only model does not fully represent the physical system. The shaker, fixture, attachment interfaces, sensors, control system, and test article all interact dynamically.

Why Conventional Analysis Falls Short

The test fixture is not an isolated structure.

01

Coupled Dynamics

The shaker, fixture, mounting interfaces, and test article alter one another’s dynamic response.

02

Control Interaction

Feedback control responds to measured accelerations, so sensor location and structural modes influence the commanded input.

03

Shaker Limitations

Force, displacement, acceleration, voltage, and current limits vary with frequency and loading.

04

Boundary Conditions

Laboratory mounting may not reproduce the impedance or interface behavior experienced in the field.

05

Multiple Excitation Paths

Real environments can excite a component through several attachment points and directions simultaneously.

06

Limited Observability

Control accelerometers provide only a partial view of the response throughout the complete test article.

Research Vision

Replace fixture-design trial and error with a predictive digital representation of the complete test.

The research program sought to develop models that included the important dynamic behavior of the complete laboratory setup rather than evaluating the fixture independently.

These digital twins combined analytical models, experimental measurements, dynamic substructuring, electromechanical shaker representations, and response reconstruction methods.

The objective was to predict whether a proposed configuration could reproduce the desired test environment before committing to fixture fabrication and full laboratory setup.

The resulting models could also help explain failed tests by identifying limiting resonances, poor attachment impedance, inadequate actuator locations, unsuitable control points, or shaker capability constraints.

The Complete Dynamic System

Test performance emerges from the interaction of every subsystem.

01

Control Specification

Required response spectra, frequency range, control locations, and tolerances.

02

Shaker System

Armature, suspension, amplifier, electrical behavior, and operating limits.

03

Test Fixture

Structural modes, stiffness, mass distribution, and attachment geometry.

04

Test Article

Component modes, interface forces, damping, and response throughout the structure.

Research Partnerships

Build sustained collaborations with universities, professors, and student researchers.

A central contribution of the program was establishing and maintaining research partnerships capable of addressing problems beyond the scope of routine production engineering.

I worked with multiple universities, faculty members, graduate students, internal engineers, test-laboratory personnel, and subject-matter experts to identify research needs and convert them into structured technical investigations.

These collaborations combined practical knowledge of environmental testing with university expertise in modal analysis, experimental dynamics, control, optimization, system identification, and dynamic substructuring.

The research effort produced technical methods, experimental demonstrations, peer-reviewed publications, internal technical reports, student development, and analytical tools that could be applied to real test programs.

Research-to-Application Workflow

Convert recurring laboratory problems into validated engineering methods.

01

Operational Problem

Identify a recurring test limitation or unexplained laboratory behavior.

02

Research Question

Translate the practical problem into a focused structural-dynamics investigation.

03

University Partnership

Match the problem with faculty expertise, students, facilities, and analytical capabilities.

04

Model Development

Build analytical, experimental, reduced-order, and electromechanical representations.

05

Experimental Validation

Compare predicted behavior with controlled laboratory measurements.

06

Method Refinement

Study accuracy, sensitivity, controllability, impedance, and practical limitations.

07

Engineering Application

Apply the resulting digital twins to fixture design and test planning.

Research Technologies

A growing toolkit for predicting and reconstructing complex vibration environments.

TSM

Transmission Simulator Method

Uses an experimentally characterized interface structure to preserve important attachment geometry and dynamic behavior when representing a component within a larger system.

MIMO

Multi-Input Multi-Output Testing

Uses multiple coordinated actuators and response measurements to reproduce multidirectional dynamic environments more realistically than conventional single-axis excitation.

TS-IMMAT

Impedance-Matched Response Reconstruction

Combines transmission-simulator concepts with multi-axis control to reproduce the target response of a component while accounting for attachment impedance.

EDS

Experimental Dynamic Substructuring

Combines measured dynamic behavior from physical hardware with analytical models of the remaining system.

EM

Shaker Electromechanical Models

Represent force, acceleration, voltage, current, displacement, and coupled shaker-structure behavior across the test frequency range.

DT

Test-System Digital Twins

Integrate structural, experimental, actuator, and control information to predict the behavior of a proposed laboratory configuration.

Response Reconstruction

Reproduce the environment experienced by the component, not merely the motion at the shaker table.

Traditional vibration tests commonly control the input at a limited number of fixture or interface locations. Matching those control measurements does not guarantee that the response throughout the test article matches its intended field environment.

Transmission Simulator–Based MIMO Response Reconstruction was investigated as a method for recreating the desired dynamic response while maintaining more realistic attachment geometry and impedance.

The research examined how accurately responses could be reconstructed at both controlled and uncontrolled locations, and how that accuracy changed as the transmission simulator became more or less dynamically representative of the intended installation.

These studies demonstrated the value of simulating the proposed MIMO test before execution, allowing the team to evaluate fixture design, attachment impedance, actuator configuration, controllability, and expected reconstruction accuracy.

My Contributions

Technical direction across research, partnerships, experimentation, and implementation.

Research Strategy

Identified high-value structural-dynamics problems and helped define multi-year research directions.

University Collaboration

Established partnerships with professors and students and connected their research to practical testing needs.

Technical Guidance

Guided analytical and experimental approaches, reviewed results, and helped focus investigations on deployable methods.

Model Development

Supported development of coupled structural, fixture, shaker, and test-article simulation methodologies.

Experimental Validation

Helped connect simulations with laboratory measurements and assess model accuracy and limitations.

Technology Transfer

Advanced research methods toward usable digital twins for fixture design and test planning.

Research Impact

Progress from post-test explanation toward predictive test-system design.

Traditional Approach

Diagnose After Failure

  • Fabricate the fixture
  • Install the test article
  • Attempt the controlled vibration test
  • Encounter amplitude or control limitations
  • Modify the fixture or mounting arrangement
  • Repeat until acceptable performance is achieved

Digital-Twin Approach

Predict Before Fabrication

  • Model the complete coupled test system
  • Evaluate resonances and attachment impedance
  • Estimate shaker capability requirements
  • Assess actuator and control locations
  • Compare alternative fixture concepts
  • Select a stronger test configuration earlier

Program Outcome

Digital twins developed through the research are now informing test-fixture design.

The multi-year program created a growing body of methods for representing the coupled behavior of shakers, fixtures, test articles, attachment interfaces, and control systems.

Research results included transmission-simulator-based response reconstruction, MIMO testing methods, electromechanical shaker models, experimental dynamic substructuring, fixture-design investigations, and studies of impedance and controllability.

The resulting digital twins are now being used to inform test-fixture design and provide earlier insight into configurations that may prevent a shaker from achieving the required environment.

The research remains active. Continued development can improve prediction accuracy, reduce fixture redesign, shorten test preparation, lower laboratory cost, and make complex environmental testing more repeatable.

Engineering Reflection

The most valuable research programs do more than produce an isolated model or publication. They connect persistent operational problems with the right technical partners, create methods that can be experimentally challenged, and continue maturing those methods until they improve real engineering decisions.

Published Research

Transmission Simulator–Based Response Reconstruction

Publicly available research includes investigations of Transmission Simulator–Based MIMO Response Reconstruction, reconstruction accuracy, attachment impedance, controllability, and integrated shaker electromechanical models.

These publications describe research performed with university and laboratory collaborators and provide public technical context for the broader development program summarized here.

This case study discusses publicly documented research concepts and my general technical responsibilities. Proprietary test configurations, controlled hardware, unpublished measurements, program-specific requirements, internal software, and sensitive laboratory information have been intentionally excluded.