Fatigue causes cracking or breakage in a material due to repeated loads; it causes the material to become unusable. Therefore, knowing the fatigue life of materials is crucial for the implementation of designs, economy and human life. Soft computing methodologies, a subset of artificial intelligence emerging to simulate human intelligence, deal with approximate models and seek solutions to complex real‐life problems relying on both computational power of machines and the high accuracy of the algorithms. In this study, soft computing methods adapted for estimating/predicting the fatigue life of engineering structures and materials are investigated. For this purpose, 95 articles published between 1995 and 2020 have been examined in detail. With this review, it is aimed to reveal the efficiency of soft computing methods and contribute to their development. Recommendations have been made to draw attention to these methodologies which are expected to be used in many areas in the future.

中文翻译：

---

疲劳寿命估算的软计算方法：当前状态和未来趋势的回顾

疲劳会由于反复加载而导致材料破裂或断裂；它导致材料变得无法使用。因此，了解材料的疲劳寿命对于实现设计，经济和人类生活至关重要。软计算方法学是新兴的人工智能子集，可以模拟人类智能，处理近似模型并依靠机器的计算能力和算法的高精度来寻求解决复杂的现实生活问题的方法。在这项研究中，研究了适用于估计/预测工程结构和材料疲劳寿命的软计算方法。为此，对1995年至2020年发表的95篇文章进行了详细审查。有了这篇评论，它旨在揭示软计算方法的效率并为它们的发展做出贡献。已经提出了一些建议，以引起人们对这些方法的关注，这些方法预期将在未来的许多领域中使用。