Bayesian model updating provides a powerful and comprehensive framework for engineers to assimilate up-to-date observation data into models based on probability theory significantly reduces uncertainties. By integrating the concept of population Monte Carlo within cross-entropy method, novel adaptive importance sampling (AIS) algorithm is recently proposed conduct robust fast using Gaussian mix...

The proposed work describes a novel viscous term specifically conceived to reduce the amount of acoustic pressure waves in weakly-compressible SPH models. above-mentioned only acts on component field, which is generated as consequence liquid impacts and assumption that fluid weakly-compressible, whereas it leaves incompressible-like unchanged. In comparison existing regularizing terms literatur...

In this work, a magnetorheological (MR) damper based above-knee prosthesis is design and evaluated based on its performance in swing phase and in stance phase. Initially, a dynamic system model for swing phase of a prosthetic leg incorporating a single-axis knee with ideal MR damper was built. The dynamic properties of the damper are represented with Bingham parametric model. From Bingham model...

In this paper, the efficacy of magnetorheological (MR) dampers for seismic response reduction is examined. To investigate the performance of the MR damper, a series of experiments was conducted in which the MR damper is used in conjunction with a recently developed clipped-optimal control strategy to control a three story test structure subjected to a one-dimensional ground excitation. The abil...