|
|
|
|
|
Songsong Lu, Binchao Liu, Rong Yang, Qiuyi Wang and Rui Bao
Applying the machine learning (ML) technique in the modelling of crack growth (CG) behavior is a potential way to improve the efficiency and precision of CG assessment. However, research in this field at elevated temperatures is limited, although a lot o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Baijian Wu, Zhaoxia Li, Keke Tang and Kang Wang
Microcracks in concrete can coalesce into larger cracks that further propagate under repetitive load cycles. Complex process of crack formation and growth are essentially involved in the failure mechanism of concrete. Understanding the crack formation an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kai Liu, Fangli Wang, Wei Pan, Le Yang, Shuwei Bai, Qiang Zhu and Mingbo Tong
In order to determine the average behavior time of widespread fatigue damage (WFD) in an aircraft multi-site damage (MSD) structure and complete the fatigue analysis of WFD sensitive parts, this paper adopts a probabilistic method to analyze the crack in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jürgen Bär
The direct current potential drop method (DCPDM) is widely used to determine the crack length in fatigue experiments. In practice, some special features of this method must be considered. Aside from general information on the experimental setup and calib...
ver más
|
|
|
|
|
|