TY - JOUR
T1 - Approximation of the maximum dynamic stress range in steel catenary risers using artificial neural networks
AU - Queau, Lucile
AU - Kimiaei, Mehrdad
AU - Randolph, Mark
PY - 2015/6
Y1 - 2015/6
N2 - © 2015 Elsevier Ltd. Adequate assessment of fatigue damage in steel catenary risers (SCRs) is essential, and usually evaluated with time consuming numerical analyses. Simplified design strategies would improve the efficiency of the screening tasks in the early design stages. As part of on-going research aiming to define a simplified fatigue design procedure for SCRs in the touchdown zone (TDZ), the sensitivity of fatigue damage to various parameters is explored using a large database (>40,000 cases). An approximation of the maximum stress range in the TDZ is established using several artificial neural networks and predicts well the fatigue life of selected example SCRs.
AB - © 2015 Elsevier Ltd. Adequate assessment of fatigue damage in steel catenary risers (SCRs) is essential, and usually evaluated with time consuming numerical analyses. Simplified design strategies would improve the efficiency of the screening tasks in the early design stages. As part of on-going research aiming to define a simplified fatigue design procedure for SCRs in the touchdown zone (TDZ), the sensitivity of fatigue damage to various parameters is explored using a large database (>40,000 cases). An approximation of the maximum stress range in the TDZ is established using several artificial neural networks and predicts well the fatigue life of selected example SCRs.
U2 - 10.1016/j.engstruct.2015.02.025
DO - 10.1016/j.engstruct.2015.02.025
M3 - Article
SN - 0141-0296
VL - 92
SP - 172
EP - 185
JO - Engineering Structures
JF - Engineering Structures
ER -