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Prediction on Steel Corrosion Amount After the Concrete Cracking Due to Corrosion Expansion Based on Generalized Neural Network

机译：基于广义神经网络的腐蚀扩展，混凝土裂缝之后钢腐蚀量预测

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HAILONG GAN; XIAOLI XIE;
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1. Prediction of Time to Failure in Stress Corrosion Cracking of 304 Stainless Steel in Aqueous Chloride Solution by Artificial Neural Network [J] . S. A. Lajevardi, T. Shahrabi, V. Baigi Protection of Metals and Physical Chemistry of Surfaces . 2009,第5期

机译：用人工神经网络预测304不锈钢在氯化水溶液中应力腐蚀破裂的失效时间。
2. PREDICTION OF TIME TO FAILURE IN STRESS CORROSION CRACKING OF 304 STAINLESS STEEL IN AQUEOUS CHLORIDE SOLUTION BY ARTIFICIAL NEURAL NETWORK [J] . S. A. Lajevardi, T. Shahrabi, V. Baigi, Физикохимия Поверхности И Защита Материалов . 2009,第5期

机译：人工神经网络预测304不锈钢在氯化物水溶液中应力腐蚀开裂的时间
3. PREDICTION OF TIME TO FAILURE IN STRESS CORROSION CRACKING OF 304 STAINLESS STEEL IN AQUEOUS CHLORIDE SOLUTION BY ARTIFICIAL NEURAL NETWORK [J] . S. A. Lajevardi, T. Shahrabi, V. Baigi, Физикохимия Поверхности И Защита Материалов . 2009,第5期

机译：人工神经网络预测304不锈钢在氯化物水溶液中应力腐蚀开裂的时间
4. BEHAVIOR OF RUST EXPANSION CRACKING OF CONCRETE DEDUCED BY EQUIVALENT CORROSION PRODUCTS OF STEEL BAR [C] . Yiqiang Xiang, Kun Cheng, Dongmei Guo, ISISS' 2011;International symposium on innovation sustainability of structures in civil engineering . 2011

机译：等效腐蚀产物对钢筋锈蚀扩展行为的影响
5. APPLICABILITY OF CATHODIC PROTECTION IN PREVENTION OF CORROSION DAMAGE TO STEEL TENDONS IN PRESTRESSED CONCRETE (HIGH STRENGTH STEEL, HYDROGEN EMBRITTLEMENT, BRITTLE CRACKING) [D] . SCANNELL, WILLIAM THOMAS 1986

机译：阴极保护在预防预应力混凝土（高强度钢，氢脆，脆性开裂）中钢腱的腐蚀损伤中的适用性
6. A Prediction Model of the Concrete Cracking Induced by the Non-Uniform Corrosion of the Steel Reinforcement [O] . Wenjun ZHU, Kequan YU, Yude XU, 2020

机译：钢筋非均匀腐蚀引起混凝土开裂的预测模型
7. Prediction of onset of corrosion in concrete bridge decks using neural networks and case-based reasoning [O] . Morcous, G., Lounis, Z. 2005

机译：基于神经网络和案例推理的混凝土桥面板腐蚀开始预测

Prediction on Steel Corrosion Amount After the Concrete Cracking Due to Corrosion Expansion Based on Generalized Neural Network

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