Auflistung Nach Schlagwort "Damage detection"
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Applying a Convolutional Neural Network in an IoT Robotic System for Plant Disease Diagnosis
(2020)Plant diseases are major threat to green product quality and agricultural productivity. Agronomists and farmers often encounter great difficulties in early detection of plant diseases and controlling their potential ... -
Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning
(2022)Anterior cruciate ligament (ACL) tears are very common among athletes. The success of enhanced ACL injury therapy hinges on accurate and cost-effective detection. Deep learning-based techniques have recently dominated ACL ... -
Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme
(2019)Ultrasonic Guided Wave(GW) has been proven to be sensitive to small damage. Motivated by the fact that the quantitative relationship between wave scattering and damage intensity can be described by scattering properties, ... -
Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme
(2020)Ultrasonic Guided Waves (GW) actuated by piezoelectric transducers installed on structures have proven to be sensitive to small structural defects, with acquired scattering signatures being dependent on the damage type. ... -
Bayesian methodology for structural damage identification and reliability assessment
(2009)A Bayesian framework is presented for structural model selection and damage identification utilizing measured vibration data. The framework consists of a two-level approach. At the first level the problem of estimating the ... -
Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures
(2018)This paper presents a new framework for output-only nonlinear system and damage identification of civil structures. This framework is based on nonlinear finite element (FE) model updating in the time-domain, using only the ... -
Bridge health monitoring for egnatia Odos Bridge Management System
(2006)In Northern Greece the largest and most challenging Greek project of design, supervision, construction, operation, maintenance and exploitation is currently taking place. This is the Egnatia Motorway project. With the major ... -
Bridge health monitoring system based on vibration measurements
(2009)A bridge health monitoring system is presented based on vibration measurements collected from a network of acceleration sensors. Sophisticated structural identification methods, combining information from the sensor network ... -
Comparison of safety indexes for chemical processes under uncertainty
(2021)The fatal consequences of industrial incidents have made evident the need for suitable tools to develop inherently safer process design options. Traditionally, in a process design project, the evaluation of safety aspects ... -
A computationally efficient Bayesian framework for structural health monitoring using physics-based models
(2015)A Bayesian inference framework for structural damage identification is presented. Sophisticated structural identification methods, combining vibration information from the sensor network with the theoretical information ... -
Corrosion damage evolution of the aircraft aluminum alloy 2024 T3
(2016)Purpose - The purpose of this paper is to quantify the corrosion damage evolution that has occurred on the aircraft aluminum alloy 2024 after the exposure to Exfoliation Corrosion Test (EXCO) solution. Moreover, the effect ... -
Damage detection in flexible plates through reduced-order modeling and hybrid particle-Kalman filtering
(2016)Health monitoring of lightweight structures, like thin flexible plates, is of interest in several engineering fields. In this paper, a recursive Bayesian procedure is proposed to monitor the health of such structures through ... -
Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing
(2017)Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their ... -
Fast Bayesian structural damage localization and quantification using high fidelity FE models and CMS techniques
(2012)Bayesian estimators are proposed for damage identification (localization and quantification) of civil infrastructure using vibration measurements. The actual damage occurring in the structure is predicted by Bayesian model ... -
Fatigue performance of pre-corroded 6xxx aluminum alloy laser beam welds with dissimilar heat treatment
(2014)The role of existing corrosion damage on the fatigue performance of 6156 AA laser beam welds in T3 state, with additional post weld heat treatment T8, has been assessed. The welds were subjected to salt fog environment for ... -
A flood inundation modeling approach for urban and rural areas in lake and large-scale river basins
(2021)Fluvial floods are one of the primary natural hazards to our society, and the associated flood risk should always be evaluated for present and future conditions. The European Union’s (EU) Floods Directive highlights the ... -
FUll-scale shake table experiments and vibration tests for assessing the effectiveness of textile materials for retrofitting masonry buildings
(2011)Full-scale shake table seismic experiments and low amplitude vibration tests on a masonry building are carried out to assess its seismic performance as well as study the effectiveness of a new textile material for retrofitting ... -
Hierarchical bayesian model updating for probabilistic damage identification
(2015)This paper presents the newly developed Hierarchical Bayesian model updating method for identification of civil structures. The proposed updating method is suitable for uncertainty quantification of model updating parameters, ... -
Lca-based environmental performance of olive cultivation in northwestern greece: from rainfed to irrigated through conventional and smart crop management practices
(2021)Olive cultivation is expanding rapidly in the northwestern part of Greece, under both rainfed and irrigated practices. Irrigation can result in larger yields and economic returns, but trade-offs in the water–energy–pollution ... -
A Nonlinear Model Inversion Method for Joint System Parameter, Noise, and Input Identification of Civil Structures
(2017)This paper presents a framework for nonlinear system identification of civil structures using sparsely measured dynamic output response of the structure. Using a sequential maximum likelihood estimation (MLE) approach, the ...