Reliability modeling and prediction of passive controlled structures through Random Forest

Weizhen. You, Saidi Alexandre, Mohamed Ichchou, Zine Abdel, Xiaopin Zhong, M. Belhaq
2018 MATEC Web of Conferences  
Reliability prediction plays a significant role in risk assessment of engineering structures. Mathematically, the prediction task can be seen as a classification (regression) procedure. In this aspect, machine learning methods have recently shown their superior performance over others in various research domains. Random forest (RF) is distinguished for its robustness and high accuracy in modeling and prediction work. However, its application in the area of structural reliability has not been
more » ... ity has not been widely explored. This study aims to explore the feasibility of RF as well as examine its performance in modeling and prediction of structure reliability in passive control mode. A numerical example is introduced in the simulation part to evaluate performance of the proposed method in different perspectives.
doi:10.1051/matecconf/201824101023 fatcat:5wigiozhf5boxp3wvy5wgy7yny