|
|
|
|
|
Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seyyed Mahdi Najmabadi, Philipp Offenhäuser, Moritz Hamann, Guhathakurta Jajnabalkya, Fabian Hempert, Colin W. Glass and Sven Simon
Computational fluid dynamic simulations involve large state data, leading to performance degradation due to data transfer times, while requiring large disk space. To alleviate the situation, an adaptive lossy compression algorithm has been developed, whi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sinawo Nomandela, Mkhululi E. S. Mnguni and Atanda K. Raji
The load demand to a power grid, as well as the interest in clean and low-cost energy resources, has led to the high integration of wind power plants into power system grids. There are grid code standards that are set for the design and integration of th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanxi Zhang, Fengjiang An, Shasha Liao, Cheng Wu, Jian Liu and Yipeng Li
This paper aims to study the difference of results in breakup state judgment, debris cloud and fragment characteristic parameter during hypervelocity impact (HVI) on large-scale complex spacecraft structures by various numerical simulation methods. We co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongmeng Qi, Qiang Li, Zhigang Zhao, Jiahua Zhang, Lingyun Gao, Wu Yuan, Zhonghua Lu, Ningming Nie, Xiaomin Shang and Shunan Tao
Large-scale floods are one of the major events that impact the national economy and people?s livelihood every year during the flood season. Predicting the factors of flood evolution is a worldwide problem. We use the two-dimensional Saint-Venant equation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bertha Maya Sopha, Athaya Islami Triasari and Lynette Cheah
Integrating sustainability in humanitarian operations has been seen as a promising approach toward effective and long-term solutions. During disaster emergency management, the evacuation determines the risk of loss in a disaster. To better understand the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thanh-Dam Pham, Minh-Chau Dinh, Hak-Man Kim and Thai-Thanh Nguyen
Floating offshore wind has received more attention due to its advantage of access to incredible wind resources over deep waters. Modeling of floating offshore wind farms is essential to evaluate their impacts on the electric power system, in which the fl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joerg Schweizer, Cristian Poliziani, Federico Rupi, Davide Morgano and Mattia Magi
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the eval...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinghua Lin, You-Lin Xu, Yong Xia and Chao Li
|
|
|
|
|
|
|
|
|
|
|
Feng Gao, Xiaojiang Wu, Qiang Liu, Juncheng Liu and Xiyun Yang
Damaged wind turbine (WT) blades have an imbalanced load and abnormal vibration, which affects their safe and stable operation or even results in blade rupture. To solve this problem, this study proposes a new method to detect damage in WT blades using w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangyu Jiang and Zhongjing Wang
Water cycles exist in all processes of water resources utilization, including water-saving irrigation. Due to the complex water cycle process of irrigation, the ecological effects and safety of large-scale water-saving irrigation have received increasing...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed Sherif, Khaled Tarabieh, Islam Mashaly and Mariam Amer
Large-scale residential projects require architects to balance energy efficiency, thermal comfort, and cost-effectiveness in designing building units distributed in different orientations. Applying a single design to all orientations may not result in co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aekjuthon Phounglamcheik, Nils Johnson, Norbert Kienzl, Christoph Strasser and Kentaro Umeki
Biochar is attracting attention as an alternative carbon/fuel source to coal in the process industry and energy sector. However, it is prone to self-heating and often leads to spontaneous ignition and thermal runaway during storage, resulting in producti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiyoung Song, Seungchan Oh, Jaegul Lee, Jeonghoon Shin and Gilsoo Jang
The purpose of this paper is to introduce, examine, and evaluate the industrial experiences and effectiveness of a Thyristor Controlled Series Compensator (TCSC) replica controller installed in Korea in 2019 through a review of its configuration, test pl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haeseong Jeoung, Kiwook Lee and Namwook Kim
Hybrid electric vehicles (HEVs) require supervisory controllers to distribute the propulsion power from sources like an engine and motors. Control concepts based on optimal control theories such as dynamic programming (DP) and Pontryagin?s minimum princi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Xu, Anton Kukolin, Daifen Chen and Wei Yang
Generally, the manufacturing technology of fuel cell units is considered to satisfy the current commercialization requirements. However, achieving a high-performance and durable stack design is still an obstacle in its commercialization. The solid oxide ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kun Zhao,Naohisa Sakamoto,Koji Koyamada,Satoshi Tanaka,Kohei Murotani,Seiichi Koshizuka
Recently, more and more scientific simulation fields generate large-scale three-dimensional (3D) scattered data. To observe the internal information, interactive visualization technique to extract the internal information of such data is always needed. H...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anna Samnioti and Vassilis Gaganis
In recent years, machine learning (ML) has become a buzzword in the petroleum industry with numerous applications that guide engineers toward better decision making. The most powerful tool that most production development decisions rely on is reservoir s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anna Samnioti and Vassilis Gaganis
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry, with numerous applications which guide engineers in better decision making. The most powerful tool that most production development decisions rely on is reservoir sim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sheng Sheng, Qihui Chen, Jingjing Li and Hua Chen
Climate change and human activities significantly impact the hydrological cycle, particularly in regions with numerous large-scale reservoirs. Recognizing the limitations of the reservoir module in the original SWAT model, this study presents an improved...
ver más
|
|
|
|
|
|