What is Modal Analysis?

Modal analysis forms the foundation of structural dynamics, giving engineers insights into the effect that external forces have on buildings and structures. This includes analyzing the natural resonance frequencies, damping properties, and mode shapes, therefore giving engineers the ability to analyze structural performance.

Modern-day structural engineering depends on analysis techniques like modal analysis to shape how designs are created in order to create structures that can handle anything it is subjected to.

The Principles Behind Modal Analysis

Modal analysis relies on a simple yet powerful idea: superposition. This principle states that a system's overall response can be understood by adding up its individual reactions to different inputs. Linearity assumes that a system’s response is directly proportional to the forces acting upon it.

This allows engineers to break complex problems into smaller, manageable parts by analyzing each force separately and then combining the results. Linearity applies to a major portion of structures and buildings in the world, which is why modal analysis is critical for predicting and improving performance.

Solving an eigenvalue problem reveals a system's natural frequencies, its "notes," and the corresponding mode shapes, which illustrate how different parts of the structure move during vibration.

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Key Components of Modal Analysis

Accurate and reliable modal analysis depends on a thorough understanding of its fundamental components:

Modal Test

Effective modal analysis relies on a rigorous modal testing process involving detailed planning, thorough preparation, and precise execution. This includes selecting measurement locations, properly installing sensors and exciters, and fully calibrating the instrumentation.

Once prepared, testing begins with two key measurement types:

  • Frequency Response Function (FRF): FRF is the process where an engineer records a building or structure’s reaction to an excitation force.
  • Operational Deflection Shape (ODS): ODS records the actual movement that occurs in the real world.

Validation

After obtaining measurement data from the modal test, the next step is to validate its accuracy and reliability. This is primarily based on coherence, where the relationship between the FRF and ODS is examined and modal analysis performed. Here, natural frequencies, damping ratios, and mode shapes are identified.

Coherence, measuring the correlation between two signals, is key to data quality. It is the criteria that is used to see how accurate the modal analysis is. If there are high coherence values, then the modal testing is accurate; if coherence is low, the modal analysis is less accurate.

Parameter Identification

After completing and validating modal analysis, the next step is identifying the structural parameters governing a structure's dynamic behavior, including material properties, geometry, and boundary conditions. Accurate identification is essential to understanding how a structure responds to external forces.

Curve fitting and inverse modeling enable parameter values to be created by integrating theoretical models and modal analysis. Typically, this will take a few attempts to get the correct correlation between experimental and theoretical data.

Modal Model Validation

The validation of modal models relies on two key methods: AutoMAC (Automated Mode Assurance Criterion) and CrossMAC (Cross-validation). AutoMAC checks consistency between measured data and simulated data from a finite element model, while CrossMAC compares measured data from various locations on the structure.

Both use statistical indicators to assess the accuracy of identified modes and determine if additional modes are needed.

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Modal Analysis Techniques: Experimental vs. Theoretical

Modal testing is divided into two main techniques: experimental and theoretical. Each approach has its pros and cons; however, if they are used together, they can create an accurate modal analysis strategy.

Experimental Modal Analysis (EMA)

Experimental Modal Analysis (EMA) measures vibrations using sensors like accelerometers while forces like vibrations are being applied to the structure. Modal hammers, shakers, or ambient vibrations create the external forces.

  • Impact Testing: A modal hammer delivers precise impulses, and accelerometers record vibrations to determine modal parameters like natural frequencies and damping ratios.
  • Shaker Excitation: Shakers apply controlled forces across various frequencies, which is ideal for analyzing large structures not suited for impact testing.
  • Ambient Vibration Monitoring: This non-intrusive method uses environmental noise or existing vibrations to assess dynamic properties, offering simplicity, cost-effectiveness, and multi-location data capture.

Theoretical Modal Analysis (TMA)

Theoretical Modal Analysis (TMA) uses mathematical models, like Finite Element Analysis (FEA), to predict the dynamic behavior of structures without physical testing. FEA is a Computer Aided Design (CAD) program where the structure can be analyzed and tested in multiple different ways due to the infinite loading and boundary conditions available in the program.

Finite Element Analysis (FEA)

As mentioned, FEA can be used to simulate situations that are likely to happen in the world and will carry out calculations on structural performance. Fortunately, this method can be combined with experimental modal analysis to make sure that any result has a strong foothold in real data. This ensures any designs or conclusions that are derived from FEA have a much higher chance of being accurate.

Advantages of Theoretical Modal Analysis

TMA offers several benefits over experimental methods, including:

  • Non-destructive evaluation: Analyzes structures without causing damage.
  • Comprehensive simulations: Models diverse conditions with precision.
  • Cost efficiency: Cuts expenses from reduced physical testing.
  • Time efficiency: Speeds up data generation and decision-making.

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Applications of Modal Analysis Across Industries

Modal testing is a key method used in many industries to study the dynamic behavior of structures and components:

Automotive

In the automotive sector, it assesses the structural integrity of vehicles, particularly the body in white. EMA helps to reveal any weaknesses that the chassis, body, or any other parts have that could contribute to noise, vibration, and harshness issues. These insights guide design improvements and strategic use of damping materials to boost comfort and performance.

Aerospace

In aerospace, the vast majority of parts and components directly contribute to the safety of the passengers that will eventually travel on this mode of transport. Modal analysis ensures the safety of the wings, fuselage, and engine mounts. Airplanes specifically can come under turbulence, and knowing how all of the parts will react is vital to the safety of future passengers.

Construction

The construction sector also relies on modal analysis. Huge pumps and compressors that typically live in the basements of buildings are regularly tested to ensure proper function. Structures like bridges are also monitored on a regular basis to ensure that they remain structurally viable for purpose.

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How KEYENCE Data Loggers Enhance Modal Analysis

Traditionally, modal analysis involved cumbersome equipment and time-consuming processes, often susceptible to errors caused by wiring issues or improper setup. The KEYENCE NR-X Series Data Loggers have redefined this process, providing precise and efficient results with unprecedented ease.

  • Compact, Portable, and Easy to Implement: The NR-X Series distinguishes itself with its compact design and portability, enabling seamless setup across a variety of environments without the complications of bulky equipment or extensive wiring. Specifically designed to be easy to use, this series of data loggers has a smart help function, ensuring new users can use it seamlessly.
  • Flexible Power Solutions for Any Setting: The NR-X Series is equipped with versatile power options, including AC, DC, and battery operation, making it suitable for both indoor and outdoor applications. With a high-capacity lithium-ion battery, these data loggers can operate continuously for up to 800 minutes, ensuring consistent data collection without frequent recharging.
  • Fully Synchronized Sampling: 576-channel max. Acquisition with 1 μs syncing Measurement is possible in up to 576 channels when using remote units. Even if the master unit and remote units are not close, synchronized acquisition at sampling speeds of up to 1 MHz is possible, ensuring reliable data collection even with multichannel measurement.

Ready to optimize and enhance your modal analysis operations? Contact us today to speak to an expert on how we can help you achieve accurate and efficient results with our multi-channel data loggers.

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