Abstract A novel failure model updating methodology is presented in this paper for composite materials. The innovation the approach found both experimental and computational methods used. Specifically, a dominant bottleneck data-driven development relates to types of data inputs that could be used calibration or updating. To address issue, nondestructive evaluation obtained while performing mec...

Structural systems are in general quite sophisticated terms of interactions between individual members with respect to their stressing and resistance. In addition, the stochastic nature different loads resistances, respectively, is different. A consistent statistical representation random variables for a structural component/member therefore complex. this context, implementation intelligent str...

This paper presents a structural parameter estimation technique for finite element model updating for the bridge benchmark model at the University of Central Florida (UCF) and the anticipated nondestructive tests. The purpose of the benchmark problem is to evaluate the reliability of damage assessment methodologies commonly used in structural health monitoring of the highway bridges. Simulation...

This paper investigates the dynamics of Monte Carlo simulations of the kinetic Ising model involving multi-spin-Rip updating schemes as opposed to the conventional random single-spin-flip updating schemes normally used.

An incremental learning by navigation approach to vision based autonomous land vehicle (ALV) guidance in indoor environments is proposed. The approach consists of three stages: initial learning, navigation, and model updating. In the initial learning stage, the ALV is driven manually, and environment images and other status data are recorded automatically. Then, an offline procedure is performe...