Civil and Environmental Engineering - Conference Items
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Item Conceptual design of a hybrid floating offshore wind turbine integrated with hydrogen production and storage system(American Society of Mechanical Engineers, 2024-08-09) Pham, Thanh Dam; Trinh, Luan Cong; Dinh, Van Nguyen; Leahy, Paul; Sustainable Energy Authority of IrelandThe shift towards renewable energy requires sustainable energy carriers, with hydrogen emerging as a crucial player in creating a lasting and stable decarbonized energy sector. Floating offshore wind turbines are expected to become a major contributor to renewable electricity because they can harness wind energy over a vast area of the ocean, areas which fixed-bottom wind turbines cannot reach. Combining floating offshore wind turbines with hydrogen production and storage potentially creates a powerful solution to address the variability of wind energy and allows the production of zero-carbon “green” hydrogen from wholly renewable sources. Additionally, integrating hydrogen systems with large floating offshore wind turbines allows for decentralized and easily-scalable energy production and storage. This approach not only boosts energy security in coastal and island states but also reduces dependence on existing energy networks. This paper introduces a conceptual design of a hybrid system. It integrates a 15 MW semi-submersible floating offshore wind turbine with a hydrogen production and storage unit, both mounted on the same semi-submersible floating platform. The system mass properties are modeled in Catia, and its dynamic behaviors are analyzed using the OpenFAST software. Essential tests performed include free decay tests and response amplitude operator analysis to observe the platform’s movements. The primary goal is to verify the system stability during different operational events and varying environmental factors. The analysis emphasizes the advantages and potential of combining offshore wind turbine technology with hydrogen storage and production systems.Item Machine learning informed knowledge driven framework supporting holistic bridge maintenance(2021) Jiang, Yali; Yang, Gang; Li, Haijiang; Zhao, Kai; Zhang, TianBridge maintenance is a complex task, which demands a wide spectrum of factors to achieve multi-objectives, multi-criteria optimum decisions. Physics-informed analysis can simulate complex and closely coupled problems, e.g., bridge structural analysis. However, it cannot account for some loosely coupled discrete factors, which complementarily could be addressed by ontological based semantic inference. This paper presents an overarching machine learning (ML) informed knowledge driven framework, which can enhance existing and static knowledge base via dynamically linking to real-time ML information for bridge structural safety as the governing consideration, to make accurate and holistic maintenance decisions. The framework includes semantic modelling, ML based numerical modelling and the Web OWL based reasoning mechanism for integration. The approach could contribute to some fundamental mindset changes towardsmaintenance decision making.Item A review of DFOS sensors installation methods for curved surfaces in tunnels(CRC Press / Balkema, 2024-08-26) Zhang, Shaoqiu; Zhang, K.; Li, Zili; Science Foundation IrelandThis paper reviews previous published articles on structural health monitoring (SHM) of tunnels using distributed fibre optic sensing (DFOS). The installation of DFOS sensors onto curved surfaces in tunnels, such as the transverse cross section of a tunnel, is a major challenge for the effectiveness of SHM of tunnels. The state-of-the-art DFOS sensors installation methods currently used for monitoring surface strains in tunnels are summarized, with emphasis on evaluating the applicability scenario of each method and their advantages and disadvantages. RÉSUMÉ: Ce document est un recueil d'articles publiés précédemment sur le contrôle de la santé structurelle (SHM) des tunnels au moyen de la détection distribuée par fibre optique (DFOS). L'installation de capteurs DFOS sur des surfaces courbes dans les tunnels, telles que la section transversale d'un tunnel, est un défi majeur pour l'efficacité du SHM des tunnels. Les méthodes d'installation des capteurs DFOS actuellement utilisées pour contrôler les contraintes de surface dans les tunnels sont résumées, en mettant l'accent sur l'évaluation du scénario d'applicabilité de chaque méthode et sur leurs avantages et inconvénients.Item Modelling of TR-XTREME™ ductile iron pipe under direct tension force(2022-10-27) Zhang, Qinglai; Chiu, Shih-Hung; Han, Tianyu; Soga, Kenichi; Li, ZiliItem Mechanical behaviour of Power Seal Saddle for service line(2023-08-29) Zhang, Qinglai; Han, Tianyu; Chiu, Shih-Hung; Takhirov, Shakhzod; Soga, Kenichi; Li, Zili