Band 43, Heft 1

Rust-free building materials are crucial for ensuring the durability and structural stability of constructions. Corrosion, a widespread issue affecting metals like steel, copper, and concrete, can be effectively managed with the help of corrosion inhibitors. One effective method for corrosion inhibition involves the application of corrosion-inhibiting coatings, which form resilient and tightly adherent films on metal surfaces. Flavonoids, renowned for their diverse biological activities, demonstrate significant anticorrosive properties. They contain beneficial compounds such as antioxidants and chelating agents. The efficacy of plant extracts as corrosion inhibitors is influenced by their organic constituents, particularly phenols and flavonoids. Flavonoids act by creating a protective film that serves as a barrier, shielding the metal surface from corrosive agents and limiting their access to the metal. This contributes to the prevention of corrosion. The integration of flavonoids into building materials has the potential to transform corrosion prevention practices, leading to improved durability, reduced maintenance costs, and a more environmentally friendly built environment. This article explores the promising prospects of flavonoids as an innovative and sustainable approach to corrosion prevention in building materials. Additionally, it aims to stimulate further research endeavors, fostering the development of effective and eco-friendly corrosion protection strategies for the construction industry.

Graphene has become an emerging and promising option in the field of protection coating for anti-corrosion due to its specific properties in chemical inertia and physical impermeability. It can be applied to metal protection coating in forms of either atomically thin films or composite materials, known, respectively, as pure chemical vapour deposition (CVD) graphene coatings and graphene composite coatings (GCCs). Nonetheless, various structure defects, synthesis imperfections and graphene ’ s positive potential to metals would make graphene-based protective coatings tend to exhibit corrosion promotion by arousing micro-galvanic corrosion, largely undermining its anti-corrosion efficiency. Based on this, many optimization strategies and methods have been conceived and applied to the graphene-based protection coatings in these two aspects for improving its anti-corrosion efficiency. For example, a good dispersion and orderly arrangement of graphene derivatives in the GCCs can largely optimize its anti-corrosion performance. Here, this paper separately reviews detailed optimization strategies, corresponding mechanisms and key factors for the use of representative graphene-based materials in these two aspects, with the aim of providing comprehensive knowledge and a roadmap of developing cheap, powerful and effective barrier technologies. Finally, perspectives on opportunities and challenges in improving the barrier coating efficiency of graphene-based materials are discussed.

The field of corrosion has recently been considered a productive field for scientific research. With the increasing use of metals in several industrial fields, such as metal construction, the construction of arches and the automobile industry, the problem of corrosion is an important issue. To solve the corrosion problem of metal materials, several methods have been discovered to combat this phenomenon, such as process control, cathodic protection, organic and inorganic coatings. Nonetheless, the presentation of corrosion inhibitors, particularly organic inhibitors, stays the least expensive and simplest technique for the insurance of metals against consumption in acidic media. In this work, it was summed up the strategies for amalgamation and portrayal of newly innovative heterocyclic complexes from 8-hydroxyquinoline, their inhibition performances for M-steel, C40E steel and C35E steel in acidic conditions, for example, hydrochloric acid, sulfuric acid, etc.

This review discusses the challenges in designing and testing corrosion probes for aggressive marine environments. The objectives are to analyze existing literature, identify methodological problems, and highlight research gaps in subsea corrosion control. To achieve these, a comprehensive review of relevant literature was conducted, focusing on factors like high salinity, fluctuating temperatures, and the presence of corrosive agents. The methods involved synthesizing information from peer-reviewed articles, industry reports, and academic publications to thoroughly analyze current state of knowledge. The findings of this review highlight the need for standardized testing protocols, improved understanding of material compatibility, and consideration of real-world conditions in corrosion probe design and testing. Methodological problems include the lack of standardized testing protocols, limited understanding of material compatibility, and insufficient consideration of real-world conditions. These findings emphasize the challenges researchers and practitioners face in developing efficient and reliable corrosion control strategies for subsea assets. In terms of novelty and improvement, this manuscript contributes to improving corrosion control practices in aggressive marine environments by synthesizing existing literature, identifying methodological problems, and highlighting gaps. By addressing these challenges, future research can focus on developing innovative solutions and methodologies to enhance the durability and effectiveness of corrosion probes in subsea environments.

The corrosion behavior of Cu–40Zn alloy in a periodic service between simulating atmospheric and deep sea environment has been systematically studied. Results showed that a layer of protective corrosion products can be formed quickly and become defective over time. During the periodic service, the HP (high hydrostatic pressure) promotes the anodic dissolution of the base and the generation of (Cu, Zn) 2 (OH) 3 Cl, which causes expansion of the corrosion products; the AP (alternating pressure) facilitates the wetting process during dry to wet stage, and the alternating force caused by AP leads to the cracks, peeling off of the corrosion products. Severe intergranular corrosion takes place, which initiates at the β phase and is accelerated by the combination of defective corrosion products and the drying stage.

The study focused on constructing a machine learning model, considering the interaction of alloying elements on corrosion resistance of low alloy steels in the marine atmospheric environment. Spearman’s analysis was applied, and the relationship between alloying element and corrosion rate was evaluated based on random forest (RF) importance and Shapley additive explanation (SHAP) analysis. The prediction performance of the six models (RF, multilayer perceptron (MLP), ridge regression (RR), K-nearest neighbor regression (KNN), logistic regression (LR), and support vector machine (SVM) was compared by using the preferred dominant elements as input variables. Afterwards, a high-precision corrosion rate prediction model based on RF was constructed. Finally, the generalizability of the model was demonstrated using 10 lines of steel corrosion data from several new marine atmospheric environments.