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Item type:Publication, Access status: with files , Current milestone and emerging trend of carbon capture and storage (CCS) technology: bibliometric analysis and review of risk-hazard, economic, and numerical assessments(Cerebration Science Publishing, 2026-09-03); ; ; ; Background: Carbon Capture and Storage (CCS) is emerging as a potential solution to reduce CO<inf>2</inf> emissions. This technology captures CO<inf>2</inf> for reuse or stores it safely underground, preventing pollution of the atmosphere. CCS is the best technology to control climate change and global warming. Purpose: This review aims to map the achievements that have been made and future research trends. Methods: This bibliometric review analyzes CCS-related research from 2010 to 2024 using the Scopus database. VOSviewer and Bibliometrix software are used for data processing and visualization. Findings: Significant advances have been made in CCS technology research. The growth of the number of publications, collaboration networks, the most influential contributors, and research trends has been mapped, which can be used as a reference for future research. Conclusions: The methodology used can still be refined to eliminate the potential bias in data interpretation. However, certain conclusions can be drawn from this bibliometric analysis. The research trend began to shift toward efforts to utilize CO<inf>2</inf> in useful products, improve safety, and reduce implementation costs. Originality: This bibliometric review provides an in-depth examination of the scientific literature on CCS, with a particular emphasis on risk assessment, economic perspectives, and numerical modeling. In contrast to previous bibliometric research, it stands out by integrating these three central themes while also highlighting the limitations and gaps in existing knowledge.Publicationtype: Journal Article22 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Influence of artificial seawater corrosion on the fatigue strength of 40 mm thick welded details for offshore wind support structures(American Society of Mechanical Engineers (ASME), 2026-06); ; ; Offshore wind support structures are exposed to cyclic loading and harsh environmental conditions that can promote corrosion and potentially affect fatigue performance. This study investigates the influence of long-term artificial seawater corrosion on the fatigue strength of thick welded steel details representative of offshore applications. Butt-welded and fillet-welded joints with plate thickness of 40 mm were exposed to artificial seawater for 12 months and subsequently tested under four-point bending fatigue loading. Changes in weld geometry induced by corrosion were quantified using optical 3D surface scans. The results show that artificial seawater does not reduce the characteristic fatigue strength of the investigated joints. While butt welds exhibit comparable fatigue performance before and after corrosion, fillet welds show an increase in fatigue strength due to corrosion-induced smoothing of the weld toe geometry. These findings indicate that corrosion-induced surface modifications should be considered in fatigue assessment and lifetime extension strategies for offshore wind support structures.Publicationtype: Conference Paper15 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Development and validation of a local fatigue design concept for welded joints in offshore structures subjected to multi-axial and variable loading(American Society of Mechanical Engineers (ASME), 2026-06); ; ; ; Fatigue assessment of welded maritime structures is vital for safe, cost-effective offshore design. Conventional methods struggle with complex loading, variable amplitudes, and thick sections, often leading to overly conservative designs. In the joint industry research project SMATRA, a novel local approach combining notch stress analysis and fracture mechanics was developed, accounting for weld geometry, post-weld treatments, and multi-axial loading. By integrating 3D surface scans, automated FEM modeling, and a two-phase life prediction model (initiation and growth), prediction accuracy improved by 24–77% over IIW, Eurocode 3, and FKM standards. Validation on small-scale specimens and a full-scale double-Y-joint confirmed accurate crack initiation prediction. A practical design tool reduced assessment time by 80% and enabled seamless workflow integration. Material savings exceeded 25% in weld volume and plate thickness while maintaining safety. The project outcomes enable more efficient, safe, and sustainable offshore structures and establishes a foundation for industrial standardization of local fatigue assessment methods in the offshore industry.Publicationtype: Conference Paper19 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Analytical and machine learning-based fatigue life prediction of welded joints under multiaxial loadingEvaluating the fatigue life of welded joints under multiaxial loading is a key challenge in structural engineering. This study explores machine learning (ML) methods for predicting fatigue life and compares their performance against the novel super ellipse criterion, which is an analytical approach that aims to improve current design standard methods (e.g., Eurocode 3, IIW). Using a dataset of uniaxial and multiaxial fatigue tests with varying phase angles, ML models—including artificial neural networks and extreme gradient boosting (XGBoost)—are trained on features like stress amplitudes, phase differences, and material properties. Artificial neural networks provide high accuracy, while tree-based models like XGBoost offer better interpretability via model agnostic interpretation using Explainable Artificial Intelligence. Results show ML models can outperform traditional criteria, especially under non-proportional loading, but face limitations near the edges of the training data. This work highlights the potential and challenges of ML in fatigue prediction and highlights their value for enhancing the safety and reliability of welded structures.Publicationtype: Journal Article13 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Effective stress determination for flat bars with sharp notches by combining the theory of critical distances with artificial neural networks(Elsevier, 2026-04-17); ; ; ; This work systematically quantifies the deviations of gradient methods from the Theory of Critical Distances (TCD) and introduces neural-network-based metamodels for the rapid prediction of effective stresses in notched flat bars. Stress-based fatigue and fracture assessment methods often rely on the local stress field around a notch and are commonly referred to as effective stress or stress-gradient methods. In this study, notched flat bars are examined as a representative structural detail. The influence of geometrical variation, critical distance, loading, and plane state on the resulting effective stresses is investigated using the point, line, and area methods of TCD. Deviations of up to 40% are identified across certain geometry–loading combinations, highlighting the sensitivity of TCD based assessment to parameter variations. To eliminate the need for a dedicated numerical simulation for every new notch geometry, a series of feedforward artificial neural network (ANN) metamodels is developed and trained on thousands of finite element simulations. Particular attention is given to the effect of optimization algorithms on training performance and predictive robustness. The resulting metamodels provide fast and accurate estimates of effective stresses across a wide range of geometries and loading conditions, offering a computationally efficient alternative to repeated finite element analysis for the assessment of notched components.Publicationtype: Journal Article11 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Ultimate bending capacity of wind turbine tower structures: a new empirical formulation based on the geometric and material factors(Cerebration Science Publishing, 2026-03-16); ; ; ; Wind energy is emerging as the most promising sustainable energy source due to its abundant resources and environmental benefits. One of the most essential parts of a wind turbine system is the tower, as it is responsible for supporting the weight of the tower top and the loads given by its environment. The preliminary design of the tower section of the wind turbine system is crucial to ensure the system's safety, and a simplified formula is needed to make it more practical. A comprehensive series of ultimate strength analyses on tapered pipes was performed to optimize the tower design, involving the variation and cross-combination of numerous geometric and material parameters. A total of 900 tapered pipe configurations were assessed using finite element method (FEM) analysis via the ABAQUS/CAE program. In the case of tapered cylindrical shells length variations, there was an increase in bending moment from the plastic deformation phase to the critical phase of 29%, 31%, and 39% for pipes measuring 50 m, 30 m, and 10 m, respectively, with the highest ultimate moment of 278.7 kN•m achieved at a pipe length of 50 m. The ultimate bending moment values were then formulated through regression analysis, resulting in a derived formula to predict the ultimate bending capacity of tapered pipes for wind turbine structures. The findings revealed that varying multiple parameters significantly impacted the ultimate strength and critical failure modes of the tapered pipe. The newly developed formula showed good accuracy, providing a reliable tool for design predictions.Publicationtype: Journal Article15 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Buckling behavior of thin-walled cylindrical shell structure under axial compression: A study of imperfection parameters with FE approach(Springer, 2026-03); ; Cylindrical shell structures are widely used in engineering applications, particularly in ships and aircraft, due to their high strength-to-weight ratio and efficiency in resisting compressive loads. However, these structures are susceptible to failure through buckling, especially when imperfections such as load eccentricity, thickness variation, and initial geometric deviations are present. This study examines the structural response of thin-walled cylindrical shells subjected to axial compression, taking into account various imperfections. A finite element (FE) approach using ABAQUS software was employed and validated against previous experimental data. A parametric study was conducted using varying load eccentricity, initial geometric imperfections, and longitudinal thickness. The results show that load eccentricity significantly reduces the ultimate load and shifts the location of deformation. Both geometric and thickness imperfections also affect structural strength and the location of buckling. These findings enhance the reliability and safety of cylindrical shell designs in engineering applications.Publicationtype: Journal Article25 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Assessment of risk, safety, hazard, and economic challenges of CCS pipeline and wellbore implementation: exploring emerging achievements in 2010–2025(Elsevier, 2026-02-12); ; ; ; Carbon capture and storage (CCS) is widely regarded as a strategic mitigation option for reducing CO₂ emissions from fossil fuel–based industries and the energy sector, in line with global efforts to limit the rise in average temperature to below 1.5 °C. Despite its potential to deliver substantial carbon reductions, CCS deployment remains challenged by a range of technical, economic, and operational risks that must be systematically addressed. These risks arise across nearly all stages of the CCS value chain, including CO₂ capture, transportation, and storage. Over the past decade, research on CCS has expanded rapidly, and several review studies have attempted to map emerging research trends in this field. However, existing reviews have generally concentrated on individual components of CCS technologies, such as carbon capture processes or the safety of geological storage. These studies have not adequately examined the interdependencies across the entire system. In contrast, the present study provides a more comprehensive perspective by assessing the whole CCS chain, thereby offering a systemic understanding of its performance and implementation challenges. The novelty of this work lies in its integrative approach, combining risk and safety analysis, hazard identification, and economic evaluation, with particular emphasis on the transportation and storage stages. In addition, recent advances involving modern technologies aimed at enhancing CCS safety and sustainability are discussed to highlight potential directions for future research.Publicationtype: Review Article20 17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Statistical correlation of 3D scanned weld geometry distributions and fatigue life for different welding methodsThe relationship between local weld geometry and fatigue life has been extensively studied over the past decades, driven by the need to enhance structural integrity and optimize costs throughout a structure’s service life. While numerous studies have explored the influence of weld geometry on fatigue strength, the comparative effect of different welding methods under comparable weld geometry quality remains largely unexplored. Furthermore, the influence of local geometric variations for each welding method has not been systematically evaluated. This study explores a large dataset of laser-scanned butt welds, analyzing key geometric parameters. The dataset is categorized by welding method (laser-hybrid welding, submerged arc welding, and flux core arc welding), and statistical distributions are examined to assess variations in weld geometry and compliance with ISO 5817 quality groups. The characteristic fatigue life for each quality group is estimated. The correlation between geometric factor and fatigue life is evaluated through the residual analysis of stress-life curve linear fitting. According to the findings, different geometry features dominate depending on the welding method. The fracture location is strongly influenced by angular misalignment, while fatigue strength is better explained by quantile-based analysis of local geometry. These results provide a basis for future predictive modeling and quality assessment in welded structures.Publicationtype: Journal Article27 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Composite buckling performances for energy structures and infrastructures: a milestone analysis based on finite element research (2000–2025)(2025-12-17); ; ; This study presents a targeted bibliometric analysis of research on composite buckling in energy infrastructure, focusing on works that utilize the finite element method (FEM) between 2000 and 2025. The increasing demand for renewable energy systems has intensified the use of lightweight composite materials in structural elements such as wind turbine towers, solar supports, and offshore platforms. Despite their mechanical advantages, composite structures remain vulnerable to buckling, necessitating the use of accurate computational modeling to ensure reliability. A total of 1855 Scopus-indexed publications were analyzed using Bibliometrix and VOSviewer. The data span 294 journals and over 4200 authors, with China, the United States, and India leading in output. Key publishing platforms include Composite Structures and Thin-Walled Structures. Mapping of keywords, co-authorship, and citation networks indicates that FEM is the dominant analytical tool for assessing buckling behavior, especially in studies involving optimization and failure prediction. This review synthesizes significant developments in the field and reveals the integration of computational mechanics and advanced materials within the energy sector. The results serve as a reference for researchers seeking to enhance the structural resilience of composite-based energy systems.Publicationtype: Journal Article26 10