A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
COLLABORATIVE ANALYSIS OF AIR-COOLED TURBINE BLADE LOW-CYCLE FATIGUE RELIABILITY
Considering the dispersion of the material properties and load,the collaborative analysis of the air-cooled turbine blade low-cycle fatigue reliability was done using the distributed collaborative response surface method. The deterministic analysis of the turbine blade was completed by the finite elements software. The total strain amplitude and mean stress response surface was established using the artificial neural network and the material life response surface using the linear hetero-variance regression method. The blade life response surface was established by collaborating with the two response surfaces. The low-cycle fatigue reliability analysis of the blade was completed using the Monte-Carlo method. Comparing with the traditional response surface method,the distributed collaborative response surface method is more accurate.
COLLABORATIVE ANALYSIS OF AIR-COOLED TURBINE BLADE LOW-CYCLE FATIGUE RELIABILITY
Considering the dispersion of the material properties and load,the collaborative analysis of the air-cooled turbine blade low-cycle fatigue reliability was done using the distributed collaborative response surface method. The deterministic analysis of the turbine blade was completed by the finite elements software. The total strain amplitude and mean stress response surface was established using the artificial neural network and the material life response surface using the linear hetero-variance regression method. The blade life response surface was established by collaborating with the two response surfaces. The low-cycle fatigue reliability analysis of the blade was completed using the Monte-Carlo method. Comparing with the traditional response surface method,the distributed collaborative response surface method is more accurate.
COLLABORATIVE ANALYSIS OF AIR-COOLED TURBINE BLADE LOW-CYCLE FATIGUE RELIABILITY
LI Chong (author) / LV JingWei (author) / GUO RuiChen (author) / LU Tan (author)
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
The influence of crystal orientations on fatigue life of single crystal cooled turbine blade
| British Library Online Contents | 2008
Multiaxial high-cycle fatigue criteria and life prediction: Application to gas turbine blade
| British Library Online Contents | 2016
Reliability Analysis of Steam Turbine Blade Using Monte Carlo Simulation
| British Library Online Contents | 2004