Titlebook: Bayesian Network Modeling of Corrosion; Narasi Sridhar Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license

Coarse

書目名稱Bayesian Network Modeling of Corrosion影響因子(影響力)




書目名稱Bayesian Network Modeling of Corrosion影響因子(影響力)學(xué)科排名




書目名稱Bayesian Network Modeling of Corrosion網(wǎng)絡(luò)公開度




書目名稱Bayesian Network Modeling of Corrosion網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bayesian Network Modeling of Corrosion被引頻次




書目名稱Bayesian Network Modeling of Corrosion被引頻次學(xué)科排名




書目名稱Bayesian Network Modeling of Corrosion年度引用




書目名稱Bayesian Network Modeling of Corrosion年度引用學(xué)科排名




書目名稱Bayesian Network Modeling of Corrosion讀者反饋




書目名稱Bayesian Network Modeling of Corrosion讀者反饋學(xué)科排名

detach

中國(guó)紀(jì)念碑

Ali Kaveh,Armin Dadras Eslamloupropagation of pitting corrosion, or corrosion fronts in general, with time. The method is promising, but exploratory in nature because parameters are selected to match average empirical trends and not necessarily based on corrosion mechanisms. Equations are provided for Markov Chain corrosion propa

臭名昭著

Nuclear Energy, metallic alloys is discussed. The approach is illustrated for SCC of Ni-base alloys in steam generator environments and stainless steels in atmospheric conditions. Additionally, the performance of nuclear waste disposal containers in geologic media is discussed from a BN perspective.

Harbor

規(guī)范就好

https://doi.org/10.1007/978-3-540-93964-1stributions, and applications of Bayesian Networks. The theoretical foundations of Bayesian Networks are explored only briefly—the focus is the chapter is to familiarize the corrosion expert on Bayesian network concepts and enable model building.

腫塊

Presbycusis

Modestus O. Okwu,Lagouge K. Tartibu metallic alloys is discussed. The approach is illustrated for SCC of Ni-base alloys in steam generator environments and stainless steels in atmospheric conditions. Additionally, the performance of nuclear waste disposal containers in geologic media is discussed from a BN perspective.

過份好問

黑豹

Modestus O. Okwu,Lagouge K. Tartibustatistics of components, and not on corrosion models. In this chapter, a probabilistic framework for materials performance in production systems is presented using Bayesian networks that incorporate corrosion and environmentally assisted cracking models. The focus will be on environmentally assisted cracking of upstream metallic materials.