TY - JOUR
T1 - Fatigue data reduction methods for composite laminates
AU - Shivakumar, Kunigal
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Fatigue crack growth rate data reduction is a challenge and it becomes hairy when a total life modeling is involved. This paper summarizes various methods, namely, secant, incremental polynomial and weighted moving average methods and introduces a less known but powerful method called locally weighted least square regression technique. The method was validated on metallic compact tension specimen and applied to mode II fatigue results of AS4/8552 composite laminate.
AB - Fatigue crack growth rate data reduction is a challenge and it becomes hairy when a total life modeling is involved. This paper summarizes various methods, namely, secant, incremental polynomial and weighted moving average methods and introduces a less known but powerful method called locally weighted least square regression technique. The method was validated on metallic compact tension specimen and applied to mode II fatigue results of AS4/8552 composite laminate.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141565621&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85141565621&origin=inward
U2 - 10.2514/6.2018-1708
DO - 10.2514/6.2018-1708
M3 - Conference article
JO - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
JF - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
T2 - AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -