ZHANG Peng’s Model Predicts Composite Laminate Fatigue Life for Energy Sector

In the world of composite materials, understanding how they behave under stress is crucial, especially for industries like energy that rely on their strength and durability. A recent study published in *Jixie qiangdu* (which translates to *Mechanical Strength*) has made significant strides in this area, offering a new model to predict the fatigue life of composite laminates after low-velocity edge impacts. This research, led by ZHANG Peng, could have profound implications for the energy sector, where composite materials are increasingly used in everything from wind turbine blades to offshore structures.

Composite laminates are prized for their lightweight and robust properties, but they are not immune to damage. When these materials are subjected to low-velocity impacts at the edges, delamination and matrix extrusion can occur internally. These hidden damages can significantly compromise the safe use and lifespan of the laminates. “The challenge has always been to accurately predict how these impacts affect the material’s long-term performance,” says ZHANG Peng, the lead author of the study. “Our research aims to address this gap by developing a reliable fatigue life prediction model.”

To achieve this, ZHANG and his team conducted a series of low-speed impact tests, compression tests, and compression-compression fatigue tests on T300/69 laminates. They measured the dent damage size, compressive residual strength, and fatigue life of the materials. The team then used the average stress failure criterion to equate the impact damage area of the laminated plate to a corresponding aperture, employing the opening equivalent method. This approach allowed them to propose an equivalent damage coefficient for different impact energies.

One of the most compelling aspects of this research is its practical application. By establishing a fatigue life prediction model that considers the compressive residual strength of impact-damaged laminates, the team has provided a tool that can be used to assess the longevity and safety of composite materials in real-world scenarios. “The accuracy of our model is high, with errors controlled within 10%,” ZHANG notes. “This level of precision is crucial for industries that rely on the predictable performance of composite materials.”

The energy sector stands to benefit significantly from this research. For instance, wind turbines, which often use composite materials in their blades, are subjected to a variety of stresses and impacts over their lifespan. Understanding how these materials will perform under fatigue can help in designing more durable and efficient turbines. Similarly, in offshore structures, where composite materials are used for their corrosion resistance and strength, predicting fatigue life can enhance safety and reduce maintenance costs.

The implications of this research extend beyond immediate applications. By providing a more accurate method for predicting the fatigue life of composite laminates, ZHANG’s work could pave the way for more innovative designs and materials. “This model not only helps in assessing existing materials but also guides the development of new composites with improved impact resistance and durability,” ZHANG explains.

As the energy sector continues to evolve, the demand for advanced materials that can withstand extreme conditions will only grow. Research like ZHANG’s, published in *Jixie qiangdu*, offers a vital step forward in meeting this demand. By bridging the gap between theoretical understanding and practical application, this study could shape the future of composite materials in the energy industry, ensuring safer, more efficient, and longer-lasting structures.

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