Πλοήγηση ανά Συγγραφέα "Papadimitriou, C."
-
Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics
Ballesteros, G. C.; Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2014)The Bayesian framework for hierarchical modeling is applied to quantify uncertainties, arising mainly due to manufacturing variability, for a group of identical structural components. Parameterized Gaussian models of ... -
A bayesian identification methodology for selection among Pareto optimal structural models using modal residuals
Christodoulou, K.; Papadimitriou, C. (2005)The structural parameter estimation problem based on measured modal data is formulated as a multi-objective optimization problem in which modal metrics measuring the fit between measured and model predicted groups of modal ... -
A Bayesian methodology for crack identification in structures using strain measurements
Gaitanaros, S.; Karaiskos, G.; Papadimitriou, C.; Aravas, N. (2010)A Bayesian system identification methodology is presented for estimating the crack location, size and orientation in a structure using strain measurements. The Bayesian statistical approach combines information from measured ... -
Bayesian methodology for structural damage identification and reliability assessment
Papadimitriou, C.; Ntotsios, E. (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 uncertainty quantification and propagation for discrete element simulations of granular materials
Hadjidoukas, P. E.; Angelikopoulos, P.; Rossinelli, D.; Alexeev, D.; Papadimitriou, C.; Koumoutsakos, P. (2014)Predictions in the behavior of granular materials using Discrete Element Methods (DEM) hinge on the employed interaction potentials. Here we introduce a data driven, Bayesian framework to quantify DEM predictions. Our ... -
Bayesian uncertainty quantification and propagation in molecular dynamics simulations
Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2012)A comprehensive Bayesian probabilistic framework is developed for quantifying and calibrating the uncertainties in the parameters of the models (e.g. force-field potentials) involved in molecular dynamics (MD) simulations ... -
Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework
Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2012)We present a Bayesian probabilistic framework for quantifying and propagating the uncertainties in the parameters of force fields employed in molecular dynamics (MD) simulations. We propose a highly parallel implementation ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
Giagopoulos, D.; Papadioti, D. C.; Papadimitriou, C.; Natsiavas, S. (2013)A Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
Giagopoulos, D.; Papadioti, D. C.; Papadimitriou, C.; Natsiavas, S. (2009)Nonlinear modelling and parametric identification of an experimental vehicle model, are employed in this paper. The composite structure of the vehicle model is split into a frame substructure and to four support substructures. ... -
Bayesian uncertainty quantification and propagation using adjoint techniques
Papadimitriou, C.; Papadimitriou, D. I. (2014)This paper presents the Bayesian inference framework enhanced by analytical approximations for uncertainty quantification and propagation and parameter estimation. A Gaussian distribution is used to approximate the posterior ... -
Bayesian uncertainty quantification of turbulence models based on high-order adjoint
Papadimitriou, D. I.; Papadimitriou, C. (2015)The uncertainties in the parameters of turbulence models employed in computational fluid dynamics simulations are quantified using the Bayesian inference framework and analytical approximations. The posterior distribution ... -
Bridge health monitoring for egnatia Odos Bridge Management System
Panetsos, P.; Lambropoulos, S.; Papadimitriou, C.; Karamanos, S.; Lekidis, V.; Karakostas, C. (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
Ntotsios, E.; Papadimitriou, C.; Panetsos, P.; Karaiskos, G.; Perros, K.; Perdikaris, P. (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 ... -
Chemopreventive activity of very low dose dietary tannic acid administration in hepatoma bearing C3H male mice
Nepka, C.; Sivridis, E.; Antonoglou, O.; Kortsaris, A.; Georgellis, A.; Taitzoglou, I.; Hytiroglou, P.; Papadimitriou, C.; Zintzaras, I.; Kouretas, D. (1999)Tannins are plant polyphenols comprising a heterogeneous group of compounds. Tannic acid is a common tannin found in tea, coffee, immature fruits, etc. and it has also been used as a food additive. An increasing body of ... -
Comparison of several toxicity tests applied to complex wastewaters and mussel biomarkers in receiving waters
Okay, O. S.; Tolun, L.; Tüfekçi, V.; Karacik, B.; Kungolos, A.; Samaras, P.; Papadimitriou, C.; Petala, M.; Tsiridis, V. (2005)In this study, the complex wastewaters/effluents discharged to coastal regions of Turkey and Greece were sampled, and various toxicity tests were applied. The bioassays used included the assessment of the luminescence ... -
Component mode synthesis techniques for finite element model updating
Papadimitriou, C.; Papadioti, D. C. (2013)Deterministic and Bayesian finite element (FE) model updating techniques are computationally very demanding operations due to the large number of FE model re-analyses required. Component mode synthesis techniques are ... -
Data Driven, Predictive Molecular Dynamics for Nanoscale Flow Simulations under Uncertainty
Angelikopoulos, P.; Papadimitriou, C.; Koumoutsakos, P. (2013)For over five decades, molecular dynamics (MD) simulations have helped to elucidate critical mechanisms in a broad range of physiological systems and technological innovations. MD simulations are synergetic with experiments, ... -
Design optimization of quarter-car models with passive and semi-active suspensions under random road excitation
Verros, G.; Natsiavas, S.; Papadimitriou, C. (2005)A methodology is presented for optimizing the suspension damping and stiffness parameters of nonlinear quarter-car models subjected to random road excitation. The investigation starts with car models involving passive ... -
Direct derivation of response moment and cumulant equations for non-linear stochastic problems
Lutes, L. D.; Papadimitriou, C. (2000)A relatively straightforward formulation is presented for deriving the differential equations governing the evolution of the response moments and cumulants of a dynamical system. This is a very general framework that applies ... -
Dose-dense sequential adjuvant chemotherapy followed, as indicated, by trastuzumab for one year in patients with early breast cancer: first report at 5-year median follow-up of a Hellenic Cooperative Oncology Group randomized phase III trial
Fountzilas, G.; Dafni, U.; Papadimitriou, C.; Timotheadou, E.; Gogas, H.; Eleftheraki, A. G.; Xanthakis, I.; Christodoulou, C.; Koutras, A.; Papandreou, C. N.; Papakostas, P.; Miliaras, S.; Markopoulos, C.; Dimitrakakis, C.; Korantzopoulos, P.; Karanikiotis, C.; Bafaloukos, D.; Kosmidis, P.; Samantas, E.; Varthalitis, I.; Pavlidis, N.; Pectasides, D.; Dimopoulos, M. A. (2014)Background: Dose-dense sequential chemotherapy including anthracyclines and taxanes has been established in the adjuvant setting of high-risk operable breast cancer. However, the preferable taxane and optimal schedule of ...