Article
Engineering, Mechanical
Chun-Xia Wurile, Taogetusang, Chun-Xia Li, Zhaqilao
Summary: The (2 + 1)-dimensional Caudrey-Dodd-Gibbon-Kotera-Sawada (CDGKS) equation is decomposed into two (1 + 1)-dimensional soliton equations in the modified Korteweg-de Vries (mKdV) hierarchy. Two rogue wave solutions to the CDGKS equation on the background of Jacobian elliptic functions dn and cn are derived by combining nonlinearization of the mKdV spectral problem and an N-fold Darboux transformation. The hybrid solutions of soliton and breather in the CDGKS equation is also presented by the N-fold Darboux transformation. The dynamical behavior of the CDGKS equation are illustrated through some figures. The paper enriches the rogue wave solution structure of the higher dimensional nonlinear evolution equation on the periodic wave background.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Information Systems
Rentao Hu, Lijun Jiang, Ping Li
Summary: The study proposes a high-precision multipath channel estimation algorithm based on signal subspace and an iterative heuristic radio frequency combination algorithm based on spatial points. Additionally, analog precoding at the base station is accelerated using deep learning for calculation, in order to model multi-user communication and design digital precoding. Simulation results demonstrate that the multi-channel estimation algorithm is capable of estimating 4 paths with an error of no more than 0.3 rad.
Article
Mathematics, Interdisciplinary Applications
WenYe Zhong, Pei Qin, Wei-Ping Zhong, Milivoj Belic
Summary: In this paper, we study two-dimensional rogue waves obtained from the approximate solution of the (2 + 1)-dimensional nonlinear Schrödinger equation with Kerr nonlinearity. The proposed approximate method reduces the complexity of solving high-dimensional nonlinear partial differential equations and provides a mechanism for constructing stable high-dimensional rogue wave clusters. The method allows for abundant local rogue wave excitations. This research is important due to the instability tendency of localized solutions to the 2D and 3D NLS equations with focusing Kerr nonlinearity. The obtained approximate analytical solution with separated radial and angular functions depends on integer parameters and the dimensions of the rogue wave. The method can be extended to other (2 + 1)-dimensional nonlinear systems.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Optics
Rajath Sawant, Daniel Andren, Renato Juliano Martins, Samira Khadir, Ruggero Verre, Mikael Kall, Patrice Genevet
Summary: The study focuses on correcting various aberrations in optical systems using hybrid metalenses. Results show that at centimeter-scale hybrid metalenses, chromatic aberration and spherical aberration can be corrected by at least 80% and 70% respectively. The flexibility of adjusting various optical parameters with hybrid metasurfaces opens up new design opportunities for compact and broadband imaging, augmented reality/virtual reality, and holographic projection.
Article
Engineering, Mechanical
Hong-Yu Wu, Li-Hong Jiang
Summary: This paper investigates a projecting expression reducing a nonautonomous nonlinear Schrodinger model into an autonomous one, which can generate two-component solutions with different structures, including bright-dark Peregrine-type rogue waves and rogue wave doublets. The study finds that these two-component solutions exhibit diverse excitations, including full shape, tail-dragged shape, crest-maintaining shape, and nascent shape.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Civil
Wenxin Liu, C. Hsein Juang, Yanjv Peng, Guoxing Chen
Summary: This paper presents a multi-conditional random field approach to characterize the regional characteristics of vs30 based on hybrid geotechnical and geological data. The workflow for integrating multiple sources of soil properties information in a random field model for regional vs30 mapping is developed. Parametric studies on investigation plans, the value of Markov Bayes coefficient B, element size, and a predefined grid of secondary data are performed with a generated synthetic field.
Article
Multidisciplinary Sciences
Dion Hafner, Johannes Gemmrich, Markus Jochum
Summary: Rogue waves, at least twice as high as surrounding waves, are dangerous ocean phenomena with no accurate forecast yet. By analyzing a large amount of observational data, a new study finds that the occurrence of rogue waves depends on sea state, with traditional parameters being weak predictors. Instead, crest-trough correlation is revealed as the dominating parameter influencing rogue wave risk in various conditions.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Marine
Rebekka Gieschen, Christian Schwartpaul, Jannis Landmann, Lukas Froehling, Arndt Hildebrandt, Nils Goseberg
Summary: The study aimed to extend knowledge related to live blue mussels cultivated on dropper lines by large-scale laboratory experiments, investigating inertia and drag characteristics. Findings revealed mean drag coefficients of 3.9 for live blue mussel lines and 3.4 for the surrogate model under regular wave conditions.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Ge Zheng, Wei Koong Chai, Jing-Lin Duanmu, Vasilis Katos
Summary: This paper evaluates recent hybrid deep learning models for traffic prediction. The models are categorized based on their feature extraction methods and analyzed for their modules and designs. A performance comparison study is conducted on ten representative models, and findings show differences in prediction accuracy based on design decisions.
INFORMATION FUSION
(2023)
Article
Multidisciplinary Sciences
Jiayi Du, Yu Zhou, Lihua Jin, Ke Sheng
Summary: As a powerful computational method, hybrid computational models study multicellular systems' dynamics. However, increasing computational cost limits large-scale simulations. To address this, we develop Gell, a GPU-based platform that enables large-scale system modeling. By fully parallelizing simulations on the GPU and introducing a voxel sorting method, Gell efficiently handles simulations with millions of cells. Comparisons with a CPU-based simulator show that Gell achieves 150X acceleration with lower memory requirements.
Article
Computer Science, Interdisciplinary Applications
Haibo Wang, Bahram Alidaee
Summary: In this study, a hybrid-heuristic algorithm is designed by combining key components of three well-known meta-heuristics, and applied to large-scale quadratic assignment problem. The algorithm provides an efficient approach to the problem and has the potential to adapt to a wide range of problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Bang-Qing Li, Yu-Lan Ma
Summary: This paper presents a systematic study on breathers of the AB system in fluids. The expressions of first to third-order breather solutions are explicitly computed using the Darboux transformation method. Some new and interesting features are discovered, including Ak-breathers and Ma-breathers. Additionally, the system exhibits novel spatio-temporal patterns for the periodical wave packets forming the breathers, such as two-petals, three-petals, and four-petals. The interactions between two or multiple breathers are found to be elastic, and various interaction patterns are observed, such as Ak-breathers and Ma-breathers crossing vertically or parallel with the same speed.
EUROPEAN PHYSICAL JOURNAL PLUS
(2023)
Article
Environmental Studies
Haiming Cai, Fan Wu, Zhanhong Cheng, Binliang Li, Jian Wang
Summary: Charging station planning is critical for public transport electrification. However, there is insufficient experience and knowledge regarding the factors that influence charging station utilization, especially for electric taxis. This paper uses data from Shenzhen to analyze the relationship between charging station utilization and urban form and demand for taxi services. The findings suggest that demand for taxi services has a non-linear relationship with utilization, and metro station density positively correlates with utilization.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Computer Science, Information Systems
Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou
Summary: Acute hypotensive episode is a common and serious postoperative complication in ICU, where timely intervention is crucial. This study presents a hybrid artificial intelligence model combining various technologies for AHE detection, achieving high prediction accuracy on real dataset.
INFORMATION SCIENCES
(2021)
Article
Chemistry, Analytical
Md Abdus Samad, Feyisa Debo Diba, Young-Jin Kim, Dong-You Choi
Summary: The study investigated the wave propagation properties of line-of-sight links at two long corridors of Chosun University, and found that large-scale FI and CI models fitted the measured results well at 3.7 and 28 GHz.
Article
Engineering, Civil
Edward Ransley, Shiqiang Yan, Scott Brown, Martyn Hann, David Graham, Christian Windt, Pal Schmitt, Josh Davidson, John Ringwood, Pierre-Henri Musiedlak, Jinghua Wang, Junxian Wang, Qingwei Ma, Zhihua Xie, Ningbo Zhang, Xing Zheng, Giuseppe Giorgi, Hao Chen, Zaibin Lin, Ling Qian, Zhihua Ma, Wei Bai, Qiang Chen, Jun Zang, Haoyu Ding, Lin Cheng, Jinhai Zheng, Hanbin Gu, Xiwu Gong, Zhenghao Liu, Yuan Zhuang, Decheng Wan, Harry Bingham, Deborah Greaves
INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING
(2020)
Article
Engineering, Civil
Ningbo Zhang, Shiqiang Yan, Xing Zheng, Qingwei Ma
INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING
(2020)
Article
Engineering, Civil
Shiqiang Yan, Jinghua Wang, Junxian Wang, Qingwei Ma, Zhihua Xie
INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING
(2020)
Article
Engineering, Marine
Guilin Liu, Xiao Li, Jinghua Wang, Yi Kou, Xipeng Wang
Article
Computer Science, Interdisciplinary Applications
Shagun Agarwal, V Sriram, Shiqiang Yan, K. Murali
Summary: This paper introduces new developments in meshless local Petrov-Galerkin method for studying wave-structure interaction, presenting a new 3D formulation of the Lagrangian flow problem and a method for identifying free-surface particles.
COMPUTERS & FLUIDS
(2021)
Article
Engineering, Ocean
Jinghua Wang, Qingwei Ma, Shiqiang Yan
Summary: This study conducted fully nonlinear numerical simulations to investigate the impact of current on extreme wave statistics, spectrum characteristics, and wave profiles in directional seas. The results showed that current can enhance wave properties and cause significant asymmetry in extreme wave profiles. Evaluation of the NewWave models revealed limitations in predicting certain wave characteristics.
APPLIED OCEAN RESEARCH
(2021)
Article
Physics, Multidisciplinary
Jinghua Wang, Qingwei Ma, Shiqiang Yan, Bingchen Liang
Summary: This study investigates the probability of extreme waves in bimodal spectrum wave conditions by exploring the impact of spectral bandwidth on wave statistics and the suitability of theoretical distribution models. Results show that narrower spectral bandwidth leads to enhanced kurtosis and crest exceedance probability, indicating a higher likelihood of encountering extreme waves in narrowband crossing seas. The study suggests a novel empirical formula for predicting kurtosis and finds that theoretical distribution models may underestimate crest height exceedance probability in extreme wave conditions.
FRONTIERS IN PHYSICS
(2021)
Article
Engineering, Civil
Jinghua Wang, Philip L-F Liu
Summary: This study examines the possibility of concurrent storm-tide and tsunami events, simulating scenarios in Manila subduction zone and coastal cities like Macau and Hong Kong. The results indicate potential worst-case scenarios and the effectiveness of linear superposition of different hazards for coastal protection planning in the region.
COASTAL ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Jinghua Wang, Philip L-F Liu
Summary: This study investigates the role of Dongsha Atoll in modifying tsunami impacts through numerical simulations. The results show that the Atoll can provide some degree of protection for the region, but the representation of the Atoll is sensitive.
JOURNAL OF EARTHQUAKE AND TSUNAMI
(2022)
Article
Engineering, Marine
Zhengtong Yang, Jinghua Wang
Summary: In the development of depth-integrated models, this study derived analytical forms of the approximated non-hydrostatic pressure field from five representative models and compared their abilities in reproducing the pressure field. The Boussinesq-type models performed well in reproducing the non-hydrostatic pressure field, especially the two-layer Boussinesq model. The weighted residual type model captured the non-hydrostatic pressure near the free surface but had undulations in the lower part of water column. The non-hydrostatic model showed rapid convergence of linear wave phase velocity but had limited capability in reproducing the pressure field, especially at the highest layer interface.
Article
Engineering, Marine
Jinghua Wang, Qingwei Ma, Zhengtong Yang, Junliang Gao, Guoxiang Wu
Summary: Nonlinear wave-current interactions can significantly influence and modify the probability, spectral characteristics, and average shape of extreme waves. This study identifies two types of wave-current interactions, with the changes induced by Type-I being more evident than those induced by Type-II. The findings suggest the importance of selecting an appropriate wave-current interaction scenario to accurately represent the local wave climate and flow conditions in numerical modeling or laboratory experiments for wave-structure interactions.
Article
Engineering, Civil
Jun-liang Gao, Jing Lyu, Jing-hua Wang, Jian Zhang, Qian Liu, Jun Zang, Tao Zou
Summary: In this study, the transient fluid resonance phenomenon inside a narrow gap between two adjacent boxes is simulated using the open-sourced computational fluid dynamics software, OpenFOAM. It is found that the motion of the weather-side box significantly affects the characteristics of the transient gap resonance, and the relevant physical quantities closely depend on both the spectral peak period and the focused wave amplitude.
CHINA OCEAN ENGINEERING
(2022)
Article
Economics
Jiqian Wang, Feng Ma, Elie Bouri, Yangli Guo
Summary: This study explores the role of macroeconomic and technical indicators in forecasting Bitcoin volatility and finds that macroeconomic indicators have stronger predictive power overall, while technical indicators are more effective during periods of low volatility.
JOURNAL OF FORECASTING
(2023)
Article
Engineering, Ocean
Ningbo Zhang, Shiqiang Yan, Qingwei Ma, Xiaohu Guo, Zhihua Xie, Xing Zheng
Summary: This paper introduces a model that combines Convolutional Neural Network (CNN) with Lagrangian ISPH method to predict fluid pressure. The model overcomes several challenges of combining CNN with ISPH, including selecting input parameters, formulating objective functions, producing training dataset, and dealing with boundary conditions. The performance of the model is evaluated through simulating classic free surface problems, and it shows satisfactory accuracy and significantly reduced computation time when the number of particles is large.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Civil
Edward J. Ransley, Scott A. Brown, Martyn Hann, Deborah M. Greaves, Christian Windt, John Ringwood, Josh Davidson, Pal Schmitt, Shiqiang Yan, Junxian X. Wang, Jinghua H. Wang, Qingwei Ma, Zhihua Xie, Giuseppe Giorgi, Jack Hughes, Alison Williams, Ian Masters, Zaibin Lin, Hao Chen, Ling Qian, Zhihua Ma, Qiang Chen, Haoyu Ding, Jun Zang, Jennifer van Rij, Yi-Hsiang Yu, Zhaobin Li, Benjamin Bouscasse, Guillaume Ducrozet, Harry Bingham
Summary: This paper presents results from the Collaborative Computational Project in Wave Structure Interaction (CCP-WSI) Blind Test Series 2, where participants simulated interactions between wave events and floating structures using various numerical methods. The study found that NS solvers and hybrid methods provided more accurate predictions, while significant variations in solutions among different methods highlighted the need for standardization in numerical modeling of WSI problems.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING AND COMPUTATIONAL MECHANICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Tian Liang, Lin Fu
Summary: In this work, a new shock-capturing framework is proposed based on a new candidate stencil arrangement and the combination of infinitely differentiable non-polynomial RBF-based reconstruction in smooth regions with jump-like non-polynomial interpolation for genuine discontinuities. The resulting scheme achieves high order accuracy and resolves genuine discontinuities with sub-cell resolution.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Lukas Lundgren, Murtazo Nazarov
Summary: In this paper, a high-order accurate finite element method for incompressible variable density flow is introduced. The method addresses the issues of saddle point system and stability problem through Schur complement preconditioning and artificial compressibility approaches, and it is validated to have high-order accuracy for smooth problems and accurately resolve discontinuities.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Gabriele Ciaramella, Laurence Halpern, Luca Mechelli
Summary: This paper presents a novel convergence analysis of the optimized Schwarz waveform relaxation method for solving optimal control problems governed by periodic parabolic PDEs. The analysis is based on a Fourier-type technique applied to a semidiscrete-in-time form of the optimality condition, which enables a precise characterization of the convergence factor at the semidiscrete level. The behavior of the optimal transmission condition parameter is also analyzed in detail as the time discretization approaches zero.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jonas A. Actor, Xiaozhe Hu, Andy Huang, Scott A. Roberts, Nathaniel Trask
Summary: This article introduces a scientific machine learning framework that uses a partition of unity architecture to model physics through control volume analysis. The framework can extract reduced models from full field data while preserving the physics. It is applicable to manifolds in arbitrary dimension and has been demonstrated effective in specific problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Nozomi Magome, Naoki Morita, Shigeki Kaneko, Naoto Mitsume
Summary: This paper proposes a novel strategy called B-spline based SFEM to fundamentally solve the problems of the conventional SFEM. It uses different basis functions and cubic B-spline basis functions with C-2-continuity to improve the accuracy of numerical integration and avoid matrix singularity. Numerical results show that the proposed method is superior to conventional methods in terms of accuracy and convergence.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Timothy R. Law, Philip T. Barton
Summary: This paper presents a practical cell-centred volume-of-fluid method for simulating compressible solid-fluid problems within a pure Eulerian setting. The method incorporates a mixed-cell update to maintain sharp interfaces, and can be easily extended to include other coupled physics. Various challenging test problems are used to validate the method, and its robustness and application in a multi-physics context are demonstrated.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xing Ji, Fengxiang Zhao, Wei Shyy, Kun Xu
Summary: This paper presents the development of a third-order compact gas-kinetic scheme for compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured tetrahedral mesh. The scheme demonstrates robustness in high-speed flow computation and exhibits excellent adaptability to meshes with complex geometrical configurations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Alsadig Ali, Abdullah Al-Mamun, Felipe Pereira, Arunasalam Rahunanthan
Summary: This paper presents a novel Bayesian statistical framework for the characterization of natural subsurface formations, and introduces the concept of multiscale sampling to localize the search in the stochastic space. The results show that the proposed framework performs well in solving inverse problems related to porous media flows.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi
Summary: This paper presents a novel method called constrained optimized DMD with Control (cOptDMDc), which extends the optimized DMD method to systems with exogenous inputs and can enforce the stability of the resulting reduced order model (ROM). The proposed method optimally places eigenvalues within the stable region, thus mitigating spurious eigenvalue issues. Comparative studies show that cOptDMDc achieves high accuracy and robustness.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andrea La Spina, Jacob Fish
Summary: This work introduces a hybridizable discontinuous Galerkin formulation for simulating ideal plasmas. The proposed method couples the fluid and electromagnetic subproblems monolithically based on source and employs a fully implicit time integration scheme. The approach also utilizes a projection-based divergence correction method to enforce the Gauss laws in challenging scenarios. Numerical examples demonstrate the high-order accuracy, efficiency, and robustness of the proposed formulation.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Junhong Yue, Peijun Li
Summary: This paper proposes two numerical methods (IP-FEM and BP-FEM) to study the flexural wave scattering problem of an arbitrary-shaped cavity on an infinite thin plate. These methods successfully decompose the fourth-order plate wave equation into the Helmholtz and modified Helmholtz equations with coupled conditions on the cavity boundary, providing an effective solution to this challenging problem.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
William Anderson, Mohammad Farazmand
Summary: We develop fast and scalable methods, called RONS, for computing reduced-order nonlinear solutions. These methods have been proven to be highly effective in tackling challenging problems, but become computationally prohibitive as the number of parameters grows. To address this issue, three separate methods are proposed and their efficacy is demonstrated through examples. The application of RONS to neural networks is also discussed.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Marco Caliari, Fabio Cassini
Summary: In this paper, a second order exponential scheme for stiff evolutionary advection-diffusion-reaction equations is proposed. The scheme is based on a directional splitting approach and uses computation of small sized exponential-like functions and tensor-matrix products for efficient implementation. Numerical examples demonstrate the advantage of the proposed approach over state-of-the-art techniques.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Sebastiano Boscarino, Seung Yeon Cho, Giovanni Russo
Summary: This work proposes a high order conservative semi-Lagrangian method for the inhomogeneous Boltzmann equation of rarefied gas dynamics. The method combines a semi-Lagrangian scheme for the convection term, a fast spectral method for computation of the collision operator, and a high order conservative reconstruction and a weighted optimization technique to preserve conservative quantities. Numerical tests demonstrate the accuracy and efficiency of the proposed method.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jialei Li, Xiaodong Liu, Qingxiang Shi
Summary: This study shows that the number, centers, scattering strengths, inner and outer diameters of spherical shell-structured sources can be uniquely determined from the far field patterns. A numerical scheme is proposed for reconstructing the spherical shell-structured sources, which includes a migration series method for locating the centers and an iterative method for computing the inner and outer diameters without computing derivatives.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
