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This chapter presents a novel approach for determining fracture properties of materials using virtual testing methods. Traditional methods for evaluating fracture properties involve expensive, labor-intensive, and time-consuming laboratory tests. In this work, a virtual testing methodology is developed, using semitheoretical techniques to estimate the fracture behavior of materials under various loading conditions. The proposed virtual testing approach can generate material fracture properties such as fracture toughness and fatigue crack growth data without relying on costly and time-consuming tests. This methodology not only reduces the need for many tests but also provides a more efficient and cost-effective means of obtaining crucial fracture-related information. Two approaches were taken in this study that are able demonstrate the reliability and accuracy of the virtual testing approach through a series of data gathering available by other existing material: (1) the first approach is the well-developed virtual testing technique that was established for isotropic materials and it is aimed to apply this methodology to anisotropic materials, (2) the second approach is to use a molecular dynamic approach to focus on energy required to break the bonds between atoms and to apply it to a large number of atoms. Because of limitations associated with computer simulations, the coarse-grain technique is intended to ease the difficulty associated with simulating a large number of atoms. The results highlight the potential of this innovative methodology in obtaining fracture properties, thus offering significant advantages in terms of time, resources, and accessibility compared to traditional ASTM testing standards. The proposed virtual testing methodology hold promise for accelerating the development of material fracture properties in various industries, including aerospace, aircraft, automotive, and military. The findings contribute significantly in assessing parts life expectancy, paving the way for more efficient and sustainable design processes.

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Obtaining Fracture Properties Through Virtual Testing Approach

  • 章节

  • 发表日期：

    2025年

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  • Bahram Farahmand

摘要

This chapter presents a novel approach for determining fracture properties of materials using virtual testing methods. Traditional methods for evaluating fracture properties involve expensive, labor-intensive, and time-consuming laboratory tests. In this work, a virtual testing methodology is developed, using semitheoretical techniques to estimate the fracture behavior of materials under various loading conditions. The proposed virtual testing approach can generate material fracture properties such as fracture toughness and fatigue crack growth data without relying on costly and time-consuming tests. This methodology not only reduces the need for many tests but also provides a more efficient and cost-effective means of obtaining crucial fracture-related information. Two approaches were taken in this study that are able demonstrate the reliability and accuracy of the virtual testing approach through a series of data gathering available by other existing material: (1) the first approach is the well-developed virtual testing technique that was established for isotropic materials and it is aimed to apply this methodology to anisotropic materials, (2) the second approach is to use a molecular dynamic approach to focus on energy required to break the bonds between atoms and to apply it to a large number of atoms. Because of limitations associated with computer simulations, the coarse-grain technique is intended to ease the difficulty associated with simulating a large number of atoms. The results highlight the potential of this innovative methodology in obtaining fracture properties, thus offering significant advantages in terms of time, resources, and accessibility compared to traditional ASTM testing standards. The proposed virtual testing methodology hold promise for accelerating the development of material fracture properties in various industries, including aerospace, aircraft, automotive, and military. The findings contribute significantly in assessing parts life expectancy, paving the way for more efficient and sustainable design processes.