This paper proposes a Bayesian RC-frame finite element model updating (FEMU) and damage state estimation approach using the nonlinear acceleration time history based on nested sampling. Numerical (FEM) parameters are selected through sampling, their probability density is estimated history. In first step, we estimate error standard deviation select FEM that required to be updated by FEMU. secon...

in this paper, an adaptive fuzzy control scheme is proposed for a class of perturbed strict-feedback nonlinear systems with unknown discrete and distributed time-varying delays, and the proposed design method does not require a priori knowledge of the signs of the control gains.based on the backstepping technique, the adaptive fuzzy controller is constructed. the main contributions of the paper...

To explore the possibilities and benefits of using CFRP (Carbon Fibre Reinforced Polymers) in strengthening RC building columns, quasi-static tests (compression bending) were carried out at Institute Earthquake Engineering Seismology - IZIIS, Skopje by variation concrete class, reinforcement percentage various technologies. Some recommendations outcomes regarding approach, technology conclusion...

Abstract The present work deals with assessment of earthquake-induced displacement the base restrained retaining walls (RW’s). A detailed and rigorous finite element (FE) investigation has been carried out following shaking table experiments on a scaled-down RW model. FE simulations were performed by conducting several nonlinear time history analyses two-dimensional (2D) plane strain model prot...

Transient analysis of nonlinear problems in structural and solid mechanics is mainly carried out using direct time integration of the equations of motion. For reliable solutions, a stable and efficient integration algorithm is desirable. Methods that are unconditionally stable in linear analyses appear to be a natural choice for use in nonlinear analyses, but unfortunately may not remain stable...

The renewable energy resources such as wind power have recently attracted more researchers’ attention. It is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. In this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. In this paper, the dynamic characteristics and short-term predictabili...