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Digby D. Macdonald
This paper explores the roles of empiricism and determinism in science and concludes that the intellectual exercise that we call ?science? is best described as the transition from empiricism (i.e., observation) to determinism, which is the philosophy tha...
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Boutros El Hajj, Bruno Castanier, Franck Schoefs and Emilio Bastidas-Arteaga
The objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structu...
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Kerman Vázquez, Raúl Rubén Rodríguez and M. Dolores Esteban
The growth of offshore wind farms (OWF?s) is expected to be significant. Reducing operation and maintenance (O&M) costs will be important to ensure its development. The foundation is the most important structural element, with concrete as its main co...
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Raffaele Landolfo, Lucrezia Cascini and Francesco Portioli
The durability of metal structures is strongly influenced by damage due to atmospheric corrosion, whose control is a key aspect for design and maintenance of both new constructions and historical buildings. Nevertheless, only general provisions are given...
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Robert E. Melchers
The long-term corrosion progression of steel reinforcement is important for estimating the life of reinforced concrete infrastructure. Reviews of field experience and results from recent controlled long-term experiments show that the development of reinf...
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Fraser King, Miroslav Kolàr, Scott Briggs, Mehran Behazin, Peter Keech and Nikitas Diomidis
The disposal of high-level radioactive waste (HLW) and spent nuclear fuel (SF) presents a unique challenge for the prediction of the long-term performance of corrodible structures since HLW/SF containers are expected, in some cases, to have lifetimes of ...
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Digby D. Macdonald, George R. Engelhardt and Andrei Petrov
A critical review is presented on modeling of the radiolysis of the coolant water in nuclear power reactors with emphasis on ITER. The review is presented in two parts: In Part I, we assess previous work in terms of compliance with important chemical pri...
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Pascual Saura Gómez, Javier Sánchez Montero, Julio Emilio Torres Martín, Servando Chinchón-Payá, Nuria Rebolledo Ramos and Óscar Galao Malo
Most regulations on the manufacturing of concrete for reinforced concrete structures rest on durability models that consider the corrosion of reinforcements. Those models are based on factors such as humidity, frost, presence of chlorides, and internal c...
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Aarthi Thyagarajan, Wouter Hamer, Joy Phophichitra, Valliappan Valliappan, Abitha Ramesh, Prathamesh Shenai and Nicholas Laycock
The conventional corrosion management process consists of defining the expected process conditions, identifying potential corrosion threats, and estimating their likely rate, then using that information to develop mitigation plans and inspection schedule...
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Yue Li, Youliang Chen, Wei Shao, Juhui Zhang, Shaoming Liao and Tomas Manuel Fernandez-Steeger
High temperatures can enhance the chloride diffusion coefficient and this poses a threat to reinforced concrete (RC) piles. This study intends to propose predictive models that can evaluate the service life and lateral bearing behaviour of reinforced con...
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Utkarsh Bhardwaj, Angelo Palos Teixeira and C. Guedes Soares
This paper assesses the uncertainty of the partial safety factors for the design of corroded pipelines against burst failure due to the variability associated with the strength model selection. First, 10 calibrated burst pressure prediction models for co...
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Anthony E. Hughes, David A. Winkler, James Carr, P. D. Lee, Y. S. Yang, Majid Laleh and Mike Y. Tan
Machine learning (ML) is providing a new design paradigm for many areas of technology, including corrosion inhibition. However, ML models require relatively large and diverse training sets to be most effective. This paper provides an overview of developm...
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Zahra Ameli, Shabnam Jafarpoor Nesheli and Eric N. Landis
The application of deep learning (DL) algorithms has become of great interest in recent years due to their superior performance in structural damage identification, including the detection of corrosion. There has been growing interest in the application ...
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Fangyuan Wang, Renhua Wang and Jianjun Ju
H-section columns with random pitting corrosion exhibit localized damage, making it imperative to conduct a thorough assessment in order to guarantee their long-term structural safety and integrity. This paper presents a method for constructing finite el...
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Eberechi Ichi, Faezeh Jafari and Sattar Dorafshan
Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously. Most defect datasets contain visual images of surface defects; however, subsurface defect data su...
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Xueli Ju, Linjian Wu, Mingwei Liu, Han Jiang and Wenxiao Zhang
The corrosion of reinforcement induced by chloride ions is one of the most significant causes of durability deterioration for reinforced concrete (RC) buildings. The concrete material factors, including the water-to-cement ratio (w/c) of concrete, as wel...
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Yulin Wang, Shan Gao, Youchun Xu and Fangyi Li
A numerical model of 84 high-strength concrete-filled square steel tubular columns (HSCFST) with local defects is developed using ABAQUS. The effects of parameters such as crack angle, crack length, impact surface and impact energy on the impact resistan...
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Cristian M. Salazar-Domínguez, José Hernández-Hernández, Edna D. Rosas-Huerta, Gustavo E. Iturbe-Rosas and Agustín L. Herrera-May
Structural failures in the barge midship sections can cause operational delay, sinking, cargo loss and environmental damage. These failures can be generated by the barge and cargo weights, and wave load effects on the midships sections. These load types ...
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Igor A. Chaves, Sean de Prazer, Barbara Jardim do Nascimento and Gregory Flowers
Not counting domestic dwellings, it has been estimated that in Australia alone, some tens of thousands of masonry buildings and structures have exceeded their design life, with many of these being at risk of partial (or worse) collapse from falling or di...
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Chinedu I. Ossai
Understanding the corrosion risk of a pipeline is vital for maintaining health, safety and the environment. This study implemented a data-driven machine learning approach that relied on Principal Component Analysis (PCA), Particle Swarm Optimization (PSO...
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