Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Bayesian Network Modeling Of Corrosion full books in PDF, epub, and Kindle. Read online Bayesian Network Modeling Of Corrosion ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Narasi Sridhar
Publisher : Springer Nature
ISBN 13 : 3031561287
Total Pages : 343 pages
Book Rating : 4.0/5 (315 download)
Download or read book Bayesian Network Modeling of Corrosion written by Narasi Sridhar and published by Springer Nature. This book was released on with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Narasi Sridhar
Publisher : Springer
ISBN 13 : 9783031561276
Total Pages : 0 pages
Book Rating : 4.5/5 (612 download)
Download or read book Bayesian Network Modeling of Corrosion written by Narasi Sridhar and published by Springer. This book was released on 2024-07-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability distributions can be developed for corroding systems and BN can be applied as an ideal framework to deal with corrosion risk. Corrosion can develop suddenly and grow rapidly after a long incubation period and take many non-uniform aspects, including pitting and stress corrosion cracking, that cannot be mitigated by simply bulking up the system. They also describe how complex engineering structures and systems are influenced by many natural and engineering factors that come together in myriad ways. It provides a broad perspective to the reader on the potential of BN as an artificial intelligence tool for corrosion risk management and the challenges for implementing it.
Author : Damien Feron
Publisher : Elsevier
ISBN 13 : 0443137870
Total Pages : 210 pages
Book Rating : 4.4/5 (431 download)
Download or read book Corrosion Modelling with Cellular Automata written by Damien Feron and published by Elsevier. This book was released on 2024-03-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corrosion Modelling with Cellular Automata bridges the gap between finer scales based on atomic physics and the larger-scale based on physico-chemical properties of materials and their environments. The book describes the simulation and modeling of corrosion phenomena by cellular automata and underlines the collaborative and interdisciplinary relationships that underpin them. It explores the major achievements that have been performed to date, covers basic knowledge on cellular automata and corrosion phenomena, and includes sections on CA modeling of generalized and uniform corrosion in 2D and 3D under various conditions, including aqueous environments and high temperature processes. Finals sections present examples on the use of cellular automata for modeling localized corrosion as well as recent developments on intergranular corrosion. There is also a review on the use of CA for modeling pitting corrosion. Focuses on the use of cellular automata for modeling corrosion Covers recent advances in modeling generalized corrosion with cellular automata Illustrates how cellular automata can be used to model localized corrosion (pitting and intergranular corrosion) Spans various length scales from atomistic to mesoscale
Author : Baoping Cai
Publisher : Springer
ISBN 13 : 9811365164
Total Pages : 257 pages
Book Rating : 4.8/5 (113 download)
Download or read book Bayesian Networks for Reliability Engineering written by Baoping Cai and published by Springer. This book was released on 2019-02-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.
Author : Hao Qin
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (16 download)
Download or read book Probabilistic Modeling and Bayesian Inference of Metalloss Corrosion with Application in Reliability Analysis for Energy Pipelines written by Hao Qin and published by . This book was released on 2014 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The stochastic process-based models are developed to characterize the generation and growth of metal-loss corrosion defects on oil and gas steel pipelines. The generation of corrosion defects over time is characterized by the non-homogenous Poisson process, and the growth of depths of individual defects is modeled by the non-homogenous gamma process (NHGP). The defect generation and growth models are formulated in a hierarchical Bayesian framework, whereby the parameters of the models are evaluated from the in-line inspection (ILI) data through the Bayesian updating by accounting for the probability of detection (POD) and measurement errors associated with the ILI data. The Markov chain Monte Carlo (MCMC) simulation in conjunction with the data augmentation (DA) technique is employed to carry out the Bayesian updating. Numerical examples that involve both the simulated and actual ILI data are used to validate the proposed Bayesian formulation and illustrate the application of the methodology. A simple Monte Carlo simulation-based methodology is further developed to evaluate the time-dependent system reliability of corroding pipelines in terms of three distinctive failure modes, namely small leak, large leak and rupture, by incorporating the corrosion models evaluated from the Bayesian updating methodology. An example that involves three sets of ILI data for a pipe joint in a natural gas pipeline located in Alberta is used to illustrate the proposed methodology. The results of the reliability analysis indicate that ignoring generation of new defects in the reliability analysis leads to underestimations of the probabilities of small leak, large leak and rupture. The generation of new defects has the largest impact on the probability of small leak.
Author : Raymond S. Munn
Publisher : ASTM International
ISBN 13 : 0803114737
Total Pages : 296 pages
Book Rating : 4.8/5 (31 download)
Download or read book Computer Modeling in Corrosion written by Raymond S. Munn and published by ASTM International. This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Cai Baoping
Publisher : World Scientific
ISBN 13 : 9813271507
Total Pages : 420 pages
Book Rating : 4.8/5 (132 download)
Download or read book Bayesian Networks in Fault Diagnosis written by Cai Baoping and published by World Scientific. This book was released on 2018-08-24 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases. Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.
Author : Christopher D. Taylor
Publisher : John Wiley & Sons
ISBN 13 : 1118266153
Total Pages : 276 pages
Book Rating : 4.1/5 (182 download)
Download or read book Molecular Modeling of Corrosion Processes written by Christopher D. Taylor and published by John Wiley & Sons. This book was released on 2015-04-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents opportunities for making significant improvements in preventing harmful effects that can be caused by corrosion Describes concepts of molecular modeling in the context of materials corrosion Includes recent examples of applications of molecular modeling to corrosion phenomena throughout the text Details how molecular modeling can give insights into the multitude of interconnected and complex processes that comprise the corrosion of metals Covered applications include diffusion and electron transfer at metal/electrolyte interfaces, Monte Carlo simulations of corrosion, corrosion inhibition, interrogating surface chemistry, and properties of passive films Presents current challenges and likely developments in this field for the future
Author : Dan Mao
Publisher :
ISBN 13 : 9780494352854
Total Pages : 85 pages
Book Rating : 4.3/5 (528 download)
Download or read book Bayesian Modeling of Pitting Corrosion in Steam Generators written by Dan Mao and published by . This book was released on 2007 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Steam generators in nuclear power plants experienced varying degrees of under-deposit pitting corrosion. A probabilistic model to accurately predict pitting corrosion is necessary for effective life-cycle management of steam generators. This thesis presents an advanced probabilistic model of pitting corrosion characterizing the inherent randomness of the pitting process and measurement uncertainties of the in-service inspection (ISI) data obtained from eddy current (EC) inspections. A Bayesian method is developed for estimating the model parameters. The proposed model is able to estimate the number of actual pits, the actual pit depth as well as the maximum pit depth, which is the main interest of the pitting corrosion model. A MATLAB program of the Markov chain Monte Carlo technique is developed to perform the Bayesian estimations. Simulation experiments are performed to check the behavior of the Bayesian method. Results show that the MCMC algorithm is an effective way to estimate the model parameters. Also, the effectiveness and efficiency of Bayesian modeling are validated. A comprehensive case study is also presented on the in-service inspection data of pitting corrosion in a steam generator unit. The Weibull distribution is found to be an appropriate probability distribution for modeling the actual pit depth in steam generators.
Author : Dakeshwar Kumar Verma
Publisher : Elsevier
ISBN 13 : 0323951627
Total Pages : 566 pages
Book Rating : 4.3/5 (239 download)
Download or read book Computational Modelling and Simulations for Designing of Corrosion Inhibitors written by Dakeshwar Kumar Verma and published by Elsevier. This book was released on 2023-04-19 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modeling and Simulations for Designing of Corrosion Inhibitors: Fundamentals and Realistic Applications offers a collection of major advancements in the field of computational modeling for the design and testing of corrosion inhibition effectiveness of organic corrosion inhibitors. This guide presents the latest developments in molecular modeling of organic compounds using computational software, which has emerged as a powerful approach for theoretical determination of corrosion inhibition potentials of organic compounds. The book covers common techniques involved in theoretical studies of corrosion inhibition potentials, and mechanisms such as density functional theory, molecular dynamics, Monte Carlo simulations, artificial neural networks, and quantitative structure-activity relationship. Covers basic, fundamental principles, advantages, parameters, and applications of computational and molecular modeling for designing potential corrosion inhibitors for metals and alloys Describes advancements of computational modeling for the design of organic corrosion inhibitors and applications in electrochemical engineering and materials science Focuses on the most advanced applications in industry-oriented fields, including current challenges Includes websites of interest and information about the latest research
Author : Marc D. Banghart
Publisher :
ISBN 13 :
Total Pages : 105 pages
Book Rating : 4.:/5 (1 download)
Download or read book Bayesian Network Analysis for Diagnostics and Prognostics of Engineering Systems written by Marc D. Banghart and published by . This book was released on 2017 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian networks have been applied to many different domains to perform prognostics, reduce risk and ultimately improve decision making. However, these methods have not been applied to military field and human performance data sets in an industrial environment. Methods frequently rely on a clear understanding of causal connections leading to an undesirable event and detailed understanding of the system behavior. Methods may also require large amount of analyst teams and domain experts, coupled with manual data cleansing and classification. The research performed utilized machine learning algorithms (such as Bayesian networks) and two existing data sets. The primary objective of the research was to develop a diagnostic and prognostic tool utilizing Bayesian networks that does not require the need for detailed causal understanding of the underlying system. The research yielded a predictive method with substantial benefits over reactive methods. The research indicated Bayesian networks can be trained and utilized to predict failure of several important components to include potential malfunction codes and downtime on a real-world Navy data set. The research also considered potential error within the training data set. The results provided credence to utilization of Bayesian networks in real field data – which will always contain error that is not easily quantified. Research should be replicated with additional field data sets from other aircraft. Future research should be conducted to solicit and incorporate domain expertise into subsequent models. Research should also consider incorporation of text based analytics for text fields, which was considered out of scope for this research project.
Author :
Publisher : The Electrochemical Society
ISBN 13 : 9781566774697
Total Pages : 420 pages
Book Rating : 4.7/5 (746 download)
Download or read book High Temperature Corrosion and Materials Chemistry V written by and published by The Electrochemical Society. This book was released on with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gareth P. Owen
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (643 download)
Download or read book Neutral Network Modelling of Corrosion written by Gareth P. Owen and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Iris Tien
Publisher :
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4.:/5 (94 download)
Download or read book Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems written by Iris Tien and published by . This book was released on 2014 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems by Iris Tien Doctor of Philosophy in Civil and Environmental Engineering University of California, Berkeley Infrastructure systems are essential for a functioning society. As these systems age, however, system reliability analyses are required to identify the critical components and make decisions regarding inspection, repair, and replacement to minimize the risk of system failure. In this study, we present novel Bayesian network (BN) methodologies for the modeling and reliability assessment of infrastructure systems. In an environment where information about a system is evolving and is oftentimes uncertain, BNs are able to both update the network when new information becomes available, and handle information probabilistically to support engineering decision making under conditions of uncertainty. One of the major limitations of the BN framework, however, is the size and complexity of the system that can be tractably modeled as a BN. In this study, we propose a novel compression algorithm that significantly reduces the memory storage requirements for a BN model, along with an inference algorithm that performs both forward and backward inference on the compressed matrices. We also present several heuristics to improve the computational efficiency of the algorithms. Through the application of these algorithms and heuristics to example systems, we show the proposed methodology to achieve significant gains in both memory storage and computation time. Together, these algorithms enable larger systems to be modeled as BNs for system reliability analysis. In addition, we propose a methodology based on the dynamic BN (DBN) to assess the response of a structure as it evolves through time under an excitation that is stochastic, e.g., an earthquake ground motion, based on sensor measurements that are uncertain. We look at the maximum response in particular, and derive an analytical solution for estimating the distribution of the peak response. In applying the proposed DBN framework to a multi-story shear-type building, we show the method to be robust relative to uncertainties in the structural characteristics, ground characteristics, and input motion parameters. This work informs decision making in the management of structures subject to seismic hazard and for the development and design of smart structural health monitoring systems.
Author : G. Unnikrishnan
Publisher : CRC Press
ISBN 13 : 1000174239
Total Pages : 135 pages
Book Rating : 4.0/5 (1 download)
Download or read book Oil and Gas Processing Equipment written by G. Unnikrishnan and published by CRC Press. This book was released on 2020-09-14 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oil and gas industries apply several techniques for assessing and mitigating the risks that are inherent in its operations. In this context, the application of Bayesian Networks (BNs) to risk assessment offers a different probabilistic version of causal reasoning. Introducing probabilistic nature of hazards, conditional probability and Bayesian thinking, it discusses how cause and effect of process hazards can be modelled using BNs and development of large BNs from basic building blocks. Focus is on development of BNs for typical equipment in industry including accident case studies and its usage along with other conventional risk assessment methods. Aimed at professionals in oil and gas industry, safety engineering, risk assessment, this book Brings together basics of Bayesian theory, Bayesian Networks and applications of the same to process safety hazards and risk assessment in the oil and gas industry Presents sequence of steps for setting up the model, populating the model with data and simulating the model for practical cases in a systematic manner Includes a comprehensive list on sources of failure data and tips on modelling and simulation of large and complex networks Presents modelling and simulation of loss of containment of actual equipment in oil and gas industry such as Separator, Storage tanks, Pipeline, Compressor and risk assessments Discusses case studies to demonstrate the practicability of use of Bayesian Network in routine risk assessments
Author : Mohammad Al-Amin
Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.:/5 (16 download)
Download or read book Bayesian Analyses of Metal-loss Corrosion on Energy Pipeline Based on Inspection Data written by Mohammad Al-Amin and published by . This book was released on 2012 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian models are developed to calibrate the accuracies of high-resolution in-line inspection (ILI) tools for sizing metal-loss corrosion defects and to characterize the growth of individual defects on energy pipelines. Moreover, a methodology is proposed to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active corrosion defects. The calibration of ILI tools is carried out by comparing the field-measured depths and ILI-reported depths for a set of static defects. The measurement error associated with the field-measuring tool is found to be negligibly small; therefore, the field-measured depth is assumed to equal the actual depth of the defect. The depth of a corrosion defect reported by an ILI tool is assumed to be a linear function of the corresponding field-measured depth subjected to a random scattering error. The probabilistic characteristics of the intercept and slope in the linear function, i.e. the constant and non-constant biases of the measurement error, as well as the standard deviation of the random scattering error are then quantified using the Bayesian methodology. The proposed methodology is able to calibrate the accuracies of multiple ILI tools simultaneously and quantify the potential correlations between the random scattering errors associated with different ILI tools. The corrosion growth model is developed in a hierarchical Bayesian framework. The depth of the corrosion defects is assumed to be a power-law function of time characterized by two power-law coefficients and the corrosion initiation time, and the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data iv collected at different times for a given pipeline. The model accounts for the constant and non-constant biases and random scattering errors of the ILI data, as well as the potential correlation between the random scattering errors associated with different ILI tools. The model is validated by comparing the predicted depths with the field-measured depths of two sets of external corrosion defects identified on two in-service natural gas pipelines. A simulation-based methodology is proposed to evaluate the time-dependent system reliability of a segment of a pressurized pipeline containing multiple active metal-loss corrosion defects. The methodology considers three distinctive failure modes, namely small leak, large leak and rupture, and incorporates the hierarchical Bayesian power-law growth model for the depth of individual corrosion defect. Both the conventional Monte Carlo simulation and MCMC simulation techniques are employed in the methodology to evaluate the failure probability. The methodology is illustrated using a joint of an underground natural gas pipeline that is currently in service.
Author : Florin Bobaru
Publisher : Elsevier
ISBN 13 : 0128231742
Total Pages : 350 pages
Book Rating : 4.1/5 (282 download)
Download or read book Corrosion Damage and Corrosion-Assisted Fracture written by Florin Bobaru and published by Elsevier. This book was released on 2021-11-01 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corrosion Damage and Corrosion-Assisted Fracture: Peridynamic Modelling and Computations covers cutting-edge developments in predicting corrosion damage and its influence on reducing material ductility, which can lead to crack nucleation, propagation, and final failure. The computational simulations included in the book match detailed experimental observations of corrosion damage and cracking induced by corrosion, and are enabled by a state-of-the-art peridynamic framework for modeling complex phenomena involving material dissolution, fracture, and damage in a unified way. The book provides a modeling framework that can be validated against experiments and delivers predictive results for corrosion-induced damage and fracture. A companion website features simulation movies of the modeling techniques and material corrosion, and also features code with which readers can directly test or even expand on the methods covered in the book. Outlines mathematical and computational modeling techniques for coupled corrosion damage and fracture processes Discusses methods which provide a platform for development of the next generation of predictive tools in corrosion Features a companion website with simulation movies to enhance understanding of the modeling techniques Provides an inside view into the progression of corrosion damage and corrosion-induced fracture
