Abstract Machine learning (ML) has been extensively applied to model geohazards, yielding
tremendous success. However, researchers and practitioners still face challenges in …

Nonlinear energy sink (NES) has received extensive attention as a broadband vibration
control strategy. Generally, the vibration of the NES vibrator is unconstrained. Moreover, the …

This study proposes a novel shape optimization methodology based on evolutionary
algorithms to maximize the harvesting energy from piezoelectric energy harvester stimulated …

Bearing is one of the most fundamental components of rotary machinery, and its fatigue life
is a crucial factor in designing. The design optimization of tapered roller bearing (TRB) is a …

In this study, two binary versions of the Water Strider Algorithm (WSA) are proposed and
applied to optimal feature selection in classification problems. In the new binary versions …

Vibration-based structural damage detection methods using optimization techniques have
increased extensively in recent decades due to the rapid development of swarm intelligence …

In this study, a novel optimization-based method is proposed to determine the parameters of
a rotating unbalance in a rotor-bearing system. For that purpose, the weighted sum of …

Solenoid actuators are well-known components that convert electromagnetic energy into
mechanical energy. For control purposes, it is requested to have a high magnetic force that …

This work denotes an insight into flexible multibody systems synthesis. In contrast with
classical synthesis approaches, the flexible behaviour of the mechanisms' different bodies is …

This study is a first attempt to provide an effective tool for crack prediction in beam-type
structures using the peridynamics (PD) theory and metaheuristic-based optimization. The …