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Wang, Chuan (author), Sun, Renjuan (author), Hu, Xinlei (author), Guan, Yanhua (author), Yang, Yingzi (author), Lu, Wei (author), Tian, Jun (author), Zhang, Hongzhi (author), Ge, Zhi (author), Šavija, B. (author)
This paper presents a research on the chloride penetration behavior of engineered cementitious composites (ECC) under sustained flexural loads. Three load levels, i.e. 30 %, 60 % and 75 % of the ultimate flexural load were used. Chloride diffusion depth and concentration profile were measured 30, 60 and 150 days after the specimen was exposed...
journal article 2023
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper proposes a super-resolution harmonic retrieval method for uncorrelated strictly non-circular signals, whose covariance and pseudo-covariance present Toeplitz and Hankel structures, respectively. Accordingly, the augmented covariance matrix constructed by the covariance and pseudo-covariance matrices is not only low rank but also...
conference paper 2023
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Zhu, Yifan (author), Lu, Huimin (author), Wang, Jianping (author), Yu, Tongjun (author), Li, Z.Z.L. (author), Tian, Yucheng (author)
In order to improve the light extraction of AlGaN-based short wavelength ultraviolet light emitting diodes (DUC-LEDs), a type of microstructure with high aspect ratio is introduced and optimized on the AlN substrate surface. And, particle swarm optimization (PSO) algorithm is used to inverse design of the surface microstructure to maximize...
journal article 2023
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Flemisch, Bernd (author), Nordbotten, Jan M. (author), Geiger, S. (author), Hajibeygi, H. (author), Tian, X. (author), Voskov, D.V. (author), Wang, Y. (author), Wapperom, M.B. (author), Zhang, Z. (author)
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the time scales of GCS are such that no sufficient long-term data is available yet to validate the simulators against. As a consequence, there is currently no solid basis...
journal article 2023
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper proposes an efficient direction of departure (DOD) and direction of arrival (DOA) estimation method for multi-input multi-output (MIMO) systems. For uncorrelated scenarios, the redundancy of the covariance matrix is first exploited by establishing its concise representation through redundancy reduction, which transforms the...
journal article 2022
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Wang, Yawen (author), Hou, Longgang (author), Su, Hui (author), Tian, Qingkun (author), Yu, Kangcai (author), Eskin, Dmitry (author), Katgerman, L. (author), Zhuang, Linzhong (author)
The alloy design and homogenization processes are intimately associated with the microstructure, phase composition and performance for Al-Zn-Mg-Cu alloys. The microstructures and phase composition of a series of Al-Zn-Mg-Cu alloys before and after the homogenization treatments were investigated along with thermodynamic calculation to...
journal article 2022
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Xu, H. (author), Tian, Zhan (author), Sun, Laixiang (author), Ye, Qinghua (author), Ragno, E. (author), Bricker, J.D. (author), Tan, Jinkai (author), Ke, Q. (author), Wang, Shuai (author)
Compound flooding is generated when two or more flood drivers occur simultaneously or in close succession. Multiple drivers can amplify each other and lead to greater impacts than when they occur in isolation. A better understanding of the interdependence between flood drivers would facilitate a more accurate assessment of compound flood risk...
journal article 2022
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Huan, Y. (author), Tian, Yubin (author), Wang, Dianpeng (author)
Simulations are often used to investigate the flow structures and system dynamics of complex natural phenomena and systems, which are significantly harder to obtain from experiments or theoretical analyses. Surrogate models are employed to mimic the results of simulations by reducing computational costs. In order to reduce the amount of...
journal article 2022
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Fang, G. (author), Tian, Yingjun (author), Yang, Zhi Xin (author), Geraedts, Jo M.P. (author), Wang, C.C. (author)
This article presents an efficient learning-based method to solve the <italic>inverse kinematic</italic> (IK) problem on soft robots with highly nonlinear deformation. The major challenge of efficiently computing IK for such robots is due to the lack of analytical formulation for either forward or inverse kinematics. To address...
journal article 2022
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper develops an efficient solution for super-resolution two-dimensional (2D) harmonic retrieval from multiple measurement vectors (MMV). Given the sample covariance matrix constructed from the MMV, a gridless compressed sensing approach is proposed based on the atomic norm minimization (ANM). In the approach, our key step is to perform...
journal article 2022
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Fang, G. (author), Tian, Yingjun (author), Weightman, Andrew (author), Wang, C.C. (author)
Soft robots can safely interact with environments because of their mechanical compliance. Self-collision is also employed in the modern design of soft robots to enhance their performance during different tasks. However, developing an efficient and reliable simulator that can handle the collision response well, is still a challenging task in...
conference paper 2022
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Wang, Shuai (author), Toumi, Ralf (author), Ye, Qinghua (author), Ke, Q. (author), Bricker, J.D. (author), Tian, Zhan (author), Sun, Laixiang (author)
It has been shown that the proportion of intense tropical cyclones (TCs) has been increasing together with a poleward migration of TC track. However, their relative importance to TC surge at landfall remains unknown. Here we examine the sensitivity of TC surge in Shanghai to landfall location and intensity with a new dynamical modelling...
journal article 2021
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Han, Minghao (author), Tian, Yuan (author), Zhang, Lixian (author), Wang, J. (author), Pan, W. (author)
Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data evaluated by certain performance criteria through trial-and-error. However, the data-based learning approach is notorious for not guaranteeing stability, which is...
journal article 2021
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Wang, F. (author), Tian, Zhi (author), Leus, G.J.T. (author), Fang, Jun (author)
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs), where a number of uncorrelated wideband signals impinge on an SLA and the data is collected from multiple frequency bins. To boost the performance and perform underdetermined DoA estimation, the difference co-array response...
journal article 2021
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Wang, X. (author), Tian, Tian (author), Zhu, Jihua (author), Scharenborg, O.E. (author)
In the case of unwritten languages, acoustic models cannot be trained in the standard way, i.e., using speech and textual transcriptions. Recently, several methods have been proposed to learn speech representations using images, i.e., using visual grounding. Existing studies have focused on scene images. Here, we investigate whether fine...
conference paper 2021
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Tian, B. (author), Wang, Zhaojun (author), de Campo, Liliana (author), Gilbert, Elliot P. (author), Dalgliesh, Robert M. (author), Velichko, E. (author), van der Goot, Atze Jan (author), Bouwman, W.G. (author)
Pronounced fibres are formed through simple shearing of a dense calcium caseinate dispersion. Both mechanical tests and scanning electron microscopy images demonstrate that the material is anisotropic. It is hypothesised that calcium caseinate aggregates, under shear, align into micro-fibres and bundle further into a hierarchical structure....
journal article 2020
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Wang, F. (author), Tian, Zhi (author), Fang, Jun (author), Leus, G.J.T. (author)
This paper concerns wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs). We rely on the assumption that the power spectrum of the wideband sources is the same up to a scaling factor, which could in theory allow us to resolve not only more sources than the number of antennas but also more sources than the number of...
conference paper 2020
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Wang, Yue (author), Zhang, Yu (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper develops an enhanced low-rank structured covariance reconstruction (LRSCR) method based on the decoupled atomic norm minimization (D-ANM), for super-resolution two-dimensional (2D) harmonic retrieval with multiple measurement vectors. This LRSCR-D-ANM approach exploits a potential structure hidden in the covariance by transferring the...
conference paper 2020
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Wang, S. (author), Zhang, Ke (author), van Beek, Ludovicus P.H. (author), Tian, X. (author), Bogaard, T.A. (author)
Rainfall-triggered shallow landslides are widespread natural hazards around the world, causing many damages to human lives and property. In this study, we focused on predicting landslides in a large region by coupling a 1 km-resolution hydrological model and a 90 m-resolution slope stability model, where a downscaling method for soil moisture...
journal article 2020
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper aims at developing low-complexity solutions for super-resolution two-dimensional (2D) harmonic retrieval via covariance reconstruction. Given the collected sample covariance, a novel gridless compressed sensing approach is designed based on the atomic norm minimization (ANM) technique. The key is to perform a redundancy reduction (RR)...
conference paper 2020
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