Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kaikai Shi is active.

Publication


Featured researches published by Kaikai Shi.


Acta Mechanica Solida Sinica | 2015

IMPROVED NORMALIZATION METHOD FOR DUCTILE FRACTURE TOUGHNESS DETERMINATION BASED ON DIMENSIONLESS LOAD SEPARATION PRINCIPLE

Chen Bao; Lixun Cai; Kaikai Shi; Chen Dan; Yao Yao

This study successfully deals with the inhomogeneous dimension problem of load separation assumption, which is the theoretical basis of the normalization method. According to the dimensionless load separation principle, the normalization method has been improved by introducing a forcible blunting correction. With the improved normalization method, the J-resistance curves of five different metallic materials of CT and SEB specimens are estimated. The forcible blunting correction of initial crack size plays an important role in the J-resistance curve estimation, which is closely related to the strain hardening level of material. The higher level of strain hardening leads to a greater difference in JQ determined by different slopes of the blunting line. If the blunting line coefficient recommended by ASTM E1820-11 is used in the improved normalization method, it will lead to greater fracture resistance than that processed by the blunting line coefficient recommended by ISO 12135-2002. Therefore, the influence of the blunting line on the determination of JQ must be taken into full account in the fracture toughness assessment of metallic materials.


Journal of Testing and Evaluation | 2015

Estimation ofJ-resistance Curves for CT Specimen Based on Unloading Compliance Method and CMOD Data

Chen Bao; Lixun Cai; Kaikai Shi; Yao Yao

The unloading compliance method is one of the most widely used methods in laboratory testing for J-resistance estimation. A specimen configuration including compact tension (CT) is recommended by almost all the standard test procedures for evaluating fracture toughness, such as ASTM E1820-11, ISO 12135-2002, and GB/T 21143-2007. In the unloading compliance method, key techniques including instantaneous crack size measurement, correction of specimen rotation, and J-integral computation can be used for a CT specimen when using load line displacement (LLD) but not when using crack mouth opening displacement (CMOD) from those standard test procedures. However, a CT specimen with CMOD measurement is also used for J-resistance estimation under certain severe environments because of the convenience of measuring displacement. This study proposes a simplified linear formula for crack size calculation for a CT specimen with CMOD data, discusses the rotation correction in detail based on the equivalence of work, and develops reasonable incremental expressions for J-integral computation and a CMOD-to-LLD conversion equation. By measuring the LLD and CMOD data of a CT specimen simultaneously, we carried out experiments on J-resistance curve estimation for four different types of materials. According to the developed procedure of the unloading compliance method in this study, J-resistance curves for all materials determined from LLD and CMOD data of the CT specimen are clearly exhibited.


Journal of Testing and Evaluation | 2015

Experimental Estimation of J Resistance Curves From Load-CMOD Record for FFCT Specimens

Kaikai Shi; Lixun Cai; Yunming Hu; David Salmon; Chen Bao

Fracture toughness of ductile materials is often characterized by J resistance curves. It is generally required to adopt load line crack mouth opening displacement (CMOD) records in load line compact tension (LLCT) specimens to calculate the J integral according to ASTM E1820-13e1. However, in some cases, for example in nuclear engineering, due to material size limitations, a standard test specimen size is not achievable, and attaching or mounting the displacement transducer to measure the load line CMOD (LLD) of a smaller compact tension specimen is very challenging, and an alternative approach is required. The present study is aimed at evaluating the use of front face CMOD (FFD) records in front face compact tension (FFCT) specimens to estimate J resistance curves. Results are compared with those using LLD-based J calculations for P92 steel. It is shown that J resistance curves determined from the two approaches are in good agreement.


International Journal of Fatigue | 2014

Prediction of fatigue crack growth based on low cycle fatigue properties

Kaikai Shi; Lixun Cai; Long Chen; S. C. Wu; Chen Bao


Engineering Fracture Mechanics | 2016

A prediction model for fatigue crack growth using effective cyclic plastic zone and low cycle fatigue properties

Kaikai Shi; Lixun Cai; Shuang Qi; Chen Bao


International Journal of Fatigue | 2015

Structural fatigue crack growth on a representative volume element under cyclic strain behavior

Kaikai Shi; Lixun Cai; Chen Bao; S. C. Wu; Long Chen


Procedia Materials Science | 2014

Crack Growth Rate Model under Constant Cyclic Loading and Effect of Different Singularity Fields

Kaikai Shi; Lixun Cai; Chen Bao


Chinese Journal of Aeronautics | 2014

A theoretical model of semi-elliptic surface crack growth

Kaikai Shi; Lixun Cai; Long Chen; Chen Bao


International Journal of Fatigue | 2019

Analytical theory for fatigue crack propagation rates of mixed-mode I–II cracks and its application

S. Qi; Lixun Cai; Chen Bao; H. Chen; Kaikai Shi; H.L. Wu


Chinese Journal of Aeronautics | 2018

Prediction of fatigue crack growth rate for small-sized CIET specimens based on low cycle fatigue properties

Chen Bao; Lixun Cai; Kaikai Shi

Collaboration


Dive into the Kaikai Shi's collaboration.

Top Co-Authors

Avatar

Lixun Cai

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

Chen Bao

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

Long Chen

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

S. C. Wu

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

Yao Yao

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

Chen Dan

Southwest Jiaotong University

View shared research outputs
Top Co-Authors

Avatar

Shuang Qi

Southwest Jiaotong University

View shared research outputs
Researchain Logo
Decentralizing Knowledge