One of the important goals of structural health monitoring is damage detection. Although many methods have been proposed to detect the existence of structural damage, relatively few studies are found on higher-level damage diagnosis such as identification of the location and extent of damage. In this paper, multiple substructural damage identification models based on regression between internal...

In this study, the finite element model updating was simulated by reducing the stiffness of the members. Due to lack of access to the experimental results, the data obtained from an analytical model were used in the proposed structural damage scenarios. The updating parameters for the studied structures were defined as a reduction coefficient applied to the stiffness of the members. Parameter v...

We study the identification of an insurance model with multidimensional screening, where insurees are characterized by risk and risk aversion. The model is solved using the concept of certainty equivalence under constant absolute risk aversion and an unspecified joint distriubtion of risk and risk aversion. The paper then analyzes how data availability constraints identification under four data...

One of the numerous methods recently employed to study the health of structures is the identification of anomaly in data obtained for the condition of the structure, e.g. the frequencies for the structural modes, stress, strain, displacement, speed,  and acceleration) which are obtained and stored by various sensors. The methods of identification applied for anomalies attempt to discover and re...

A probabilistic damage identification method for shear structure components is presented. The method uses the extracted modal frequencies from the measured dynamical responses in conjunction with a representative finite element model. The damage of each component is modeled using a stiffness multiplier in the finite element model. By coupling the extracted features and the probabilistic structu...

In this contribution an algorithm for parameter identification of gradient enhanced damage models is proposed, in which non-uniform distributions of the state variables such as stresses, strains and damage variables are taken into account. To this end a least-squares functional consisting of experimental data and simulated data is minimized, whereby the latter are obtained with the Finite-Eleme...

This paper presents a probabilistic damage identification study on a full-scale structure, the Dowling Hall Footbridge, through a Bayesian finite element (FE) model updating. The footbridge is located at Tufts University and is equipped with a continuous monitoring system that measures its ambient acceleration response. A set of data is recorded once every hour or when triggered by large vibrat...

One of the most innovative developments in field advanced materials is sandwich materials. Sandwich material applications need standard requirements to be applied marine structures, especially on ship construction. research conducted a laboratory scale obtain appropriate composition its development. In process developing this material, can damaged. Most damage occurs core which results difficul...

This study investigates the feasibility of identifying axial position circumferential defects in laminated pipeline structures based on damage indices. Wavelet packet decomposition is combined with indices, and effects dual same but different positions, as well indices are separately studied. Our aim was to determine potential use identify structures. ABAQUS finite element analysis software use...