TOP-1

The research group will recruit several PHD and master students and 2 postdocs.

There are three requirements for doctoral and master students  enrollment: (1) Applicants should have an engineering background and have a strong interest in information technology. Applicants should have obtained a relevant bachelor's or master's degree; (2) Strong technical background, including but not limited to research experiences in BIM/GIS, Internet, digital twin, artificial intelligence, etc. Candidates with research or practical experiences in algorithms, and the development of large-scale software systems or Web/App will be preferred; (3) Highly self-motivated, good written and oral English communication skills, and independent working ability.

Postdoctoral recruitments should also meet the following two points: (1) The applicant should be under the age of 35 and have obtained a doctoral degree no more 3 years; (2) The research directions are civil engineering information technology, Marine environmental information modeling and application, data-driven knowledge discovery and application, etc. (Note: postdoctoral candidates are required to present a half-hour academic presentation, including the main research works during PHD period and future postdoctoral work plans).

If you are interested, please send your resume, transcripts and work plan to the email: hu.zhenzhong@sz.tsinghua.edu.cn. For details, please see: PHD Master Recruitment and Postdoctoral Recruitment.

TOP-2

26 November 2021, Discharge of treated Fukushima nuclear accident contaminated water: macroscopic and microscopic simulations has been published on National Science Review, which is a full affirmation of the students and teachers of the subject group who are generous and rigorous in their learning! NSR officer micro-push high-quality and efficient, reflecting China's outstanding leading journals of the super-class level! Thanks to the director of singhua University's Institute for Ocean Engineering (IOE), Zhang Jianmin's guidance and support, thanks to the editorial department and reviewers for their high evaluation!

The results of this study are of great significance for the prediction of long-term spread of pollutants, the rational response of nuclear wastewater discharge plans and the monitoring of subsequent radioactive material concentrations. In the future, we will continue to deepen our research, Further explore the long-term impact of the discharge of nuclear waste water on the whole ocean and mankind, and provide important decision support for the country and the world to deal with the nuclear wastewater crisis!

Note: National Science Review , whose impact factor in 2021 is 17.275, is the top journal in the multi-discipline domain. For more information, please see the introduction video.

2024-02-27

Inertia load reduction for loadoff during floating offshore wind turbine installation: Release decision and ballast control has been published in the journal Sustainable Horizons.

High offshore installation costs are a significant factor limiting the competitiveness of offshore wind energy. One efficient installation approach for floating offshore wind turbines is to preassemble the tower, nacelle, and rotor onshore and perform a single lifting operation to mate the superstructure with the floating foundation at the installation site. It is heavy lifting, due to the weighty payload. At the end of the mating process, a loadoff operation is conducted to transfer the preassembly to the floating foundation. It results in a sudden change in total force acting on the vessel and causes substantial acceleration and potential damage to the mechanism in the onboard nacelles. The magnitude of acceleration of the onboard nacelles can vary greatly at different release instants. In this research, a simplified two-degrees-of-freedom (DOF) (heave and pitch) model is also proposed to account for the heavy lifting process and variable ballast tanks. The sudden payload transfer is approximated using a hyperbolic tangent function to guarantee continuity and differentiability. The loadoff operation consists of the decision-making and vessel-stabilizing phases. Based on the nonlinear model predictive control method, a payload-transfer time selector and anti-pitch ballast controller have been developed to achieve optimal release time decisions and stabilize the vessel after payload release, respectively. Six-DOF simulation results show that the proposed algorithms are capable to a satisfying level of robustness of deciding the optimal payload release time instant, as well as limiting the peak and mean acceleration magnitudes of the onboard nacelles after payload release. The decision-making and control strategies may promote the sustainable energy transformation by extending the operation window and reduce the installation costs.

Note: The first author of this paper is Ma Can, a master's student in 2021, and Assistant Professor Ren Zhengru is the corresponding author. The research results were supported by Shen-zhen Science and Technology Program, Shen-zhen Science & Technology Commission, and Shenzhen Science and  the Guangdong Basic and Applied Basic Research Foundation.

2024-02-19

The Probability of Ship Collision during the Fully Submerged Towing Process of Floating Offshore Wind Turbines have been published in the journal Sustainability.

In the context of the rapid development of the green energy industry, the Floating Offshore Wind Turbines (FOWTs)  project is the focus of the current green sustainable development of energy. However, most studies have focused on the design and manufacture of the Wind Turbines before installation and the movement and response after installation, and have studied less the collision risk that is most likely to occur during the towing of the FOWTs to the site. Based on the analytical model construction method, this study takes the Wanning Floating Offshore Wind Farm (FOWF)  as the research object, expands on the widely recognized Pedersen collision probability assessment model, and creatively develops the probability assessment calculation model of collision with other ships during the towed transport of FOWTs in non-channel areas. The results show that the probability of ship collision in towed transport is mainly affected by regional ship density, distribution and sailing speed. This study makes up the gap in the field of risk assessment during installation of deep-water FOWTs.

Note: The first author of this paper is Li Yihong, a postdoc, and I am the corresponding author. The authors also include Liu Longxiang, a master's student, and Associate Professor Li Sunwei. The research results were supported by Guangdong Basic and Applied Basic Research Foundation and Shenzhen Science and Technology Commission.

2024-01-30

"A mechanical analysis method and system for fan installation based on digital twin" has obtained the invention patent certificate (patent number: ZL202311306512.6).

The invention discloses a mechanical analysis method and system for fan installation based on digital twin, which comprises the following steps: obtaining the basic information of the rod structure; According to the basic information of the bar structure, a bar element set and a load set are generated; According to the bar element set and the load set, the global stiffness matrix and the external load vector in the compressed sparse row matrix format are integrated. According to the global stiffness matrix and the external load vector, the global displacement vector is obtained by the conjugate gradient method. According to the global displacement vector, a set of deformed member elements is obtained. According to the set of deformed bar elements, the stress distribution results of the bar structure are obtained. The invention accelerates the storage and solving efficiency of the matrix without loss of effective information, so that the calculation accuracy can be taken into account while the calculation efficiency can be effectively improved, and the rapid modeling and calculation of complex and large structures can be realized.

Note: The inventors of this patent also include doctoral student Min Yantao, Academician Zhang Jianmin, doctoral student Liu Yi, master student Ning Houchun, Associate Professor Li Sunwei and Associate Professor Li Binbin.