This paper presents a reliability-based prediction methodology to obtain the remaining useful life of composite materials subjected to fatigue degradation. Degradation phenomena such as stiffness reduction and increase in matrix micro-cracks density are sequentially estimated through a Bayesian filtering framework that incorporates information from both multi-scale damage models and damage meas...

 Background & Objective:  Chronic Kidney Disease (CKD) has been recognized as a serious public health threat. The early detection of kidney damage in CKD is a useful way to reduce the disease burden. This study aimed to determine the power of Neutrophil gelatinase-associated lipocalin (NGAL) and cystatin C (Cys-C) to predict the kidney damage in Iranian patients.  Materials & Methods:  This st...

As hypertension has become one of the principal diseases affecting human health, and its prediction accuracy is a topic of concern for the medical professionals, so the computer-aided prediction model of target organ damage of primary hypertension is worthy of research. GEP model with simple chromosome, linear, compact, easily genetic manipulation can eliminate the correlation of gene expressio...

We have recently demonstrated that evolutionary algorithms can be used to modify the excitation applied to a structure such that damage detection resolution on the output will be improved. Recent results indicate that optimized inputs are highly sensitive to the damage detection feature employed in the optimization, implying that the excitation and feature type should be closely matched if impr...

The primary objective of damage detection is to ascertain with confidence if damage is present or not within a structure of interest. In this study, a damage classification problem is cast in the context of the statistical pattern recognition paradigm. First, a time prediction model, called an autoregressive and autoregressive with exogenous inputs (AR-ARX) model, is fit to a vibration signal m...

In order to minimize the loss of disasters on urban earthquake damage prediction research is of great significance. This paper, establishment of a data management system based on ArcGIS +Visual Studio. NET platform is an important work of the project, design and development of Langfang City earthquake damage prediction system. Firstly, the overall system framework, then introduce the system to ...

Based on the critical plane approach, a simple and efficient multiaxial fatigue damage parameter with no additional material constants is proposed for life prediction under uniaxial/multiaxial proportional and/or non-proportional loadings for titanium alloy TC4 and nickel-based superalloy GH4169. Moreover, two modified Ince-Glinka fatigue damage parameters are put forward and evaluated under di...

estimation of weed damage threshold is essensial in site-specific weed control programs. this experiment was conducted to determine the spatial distribution of weeds damage threshold in two wheat feilds. data related to weed biomass and crop yield were collected from sampling at 120 and 135 points of the first and second fields respectively based on a 4×4 m grid at research field of agricultura...