Static Loads Influence on Modal Properties of the Composite Cylindrical Shells with Integrated Sensor Network

Area of Science:

• Mechanical Engineering
• Materials Science
• Structural Dynamics

Background:

• Composite cylindrical shells are crucial in various engineering applications.
• Understanding their dynamic behavior under axial tension is vital for structural integrity.
• Previous research has explored static and dynamic properties, but comprehensive analysis under varying loads is ongoing.

Purpose of the Study:

• To experimentally and numerically investigate the dynamic parameters of composite cylindrical shells subjected to axial tension.
• To analyze the influence of static tensile load on natural frequencies and mode shapes.
• To compare experimental findings with numerical simulations for validation.

Main Methods:

• Manufacturing and testing of five composite cylindrical shell structures.
• Application of static axial tensile loads up to 4817 N.
• Measurement of natural frequencies and mode shapes using 48 piezoelectric sensors and ARTeMIS Modal 7 software.
• Modal passport methods, including modal enhancement, for data refinement.
• Numerical calculations and comparative analysis of experimental and numerical data.

Main Results:

• Natural frequencies of composite shells were measured and analyzed.
• Numerical simulations confirmed an increase in natural frequency with increasing tensile load.
• Experimental results, while not perfectly matching numerical data, demonstrated a consistent pattern across all tested samples.
• The study identified a correlation between axial tensile load and modal properties.

Conclusions:

• Static axial tension significantly influences the dynamic parameters of composite cylindrical shells.
• Numerical models provide a reliable trend for frequency changes, though experimental validation requires careful consideration of material properties and boundary conditions.
• The findings contribute to a better understanding of composite shell behavior under operational loads, aiding in predictive maintenance and design optimization.