Searched for: author%3A%22Li%2C+X.%22
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Li, X. (author)
This thesis is motivated by the vision of designing smart wearables as partners for veterans with chronic posttraumatic stress disorder (PTSD). Everyday objects are becoming ‘smarter’ with the integration of computational and electronic technologies. It is now possible to start thinking of these objects as ‘intelligent agents’ that can form...
doctoral thesis 2022
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Li, X. (author), Benedictus, R. (author), Zarouchas, D. (author)
Ply-block size and stress level effect on accumulation of transverse cracks and delamination are investigated during early fatigue life of CFRP laminates. Tension-tension fatigue tests under different stress levels were performed for two cross-ply configurations. Edge observation with digital cameras, digital image correlation and acoustic...
journal article 2022
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Li, X. (author)
A flexible riser is a multi-layered pipe device which enables deep-water production by connecting seabed facilities to floating vessels. To withstand huge hydro-static pressure, it is required to have strong collapse capacities. At present, the collapse capacity of a flexible riser is designed based on a "wet collapse'' concept, in which the...
doctoral thesis 2021
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Li, X. (author), Jiang, X. (author), Hopman, J.J. (author)
Flexible risers are designed with strong anti-collapse capacities which enable them to operate in deep-water reservoirs. However, this anti-collapse capacity is susceptible to the pipe curvature in the flooded annulus condition. For the curved riser sections within the touch-down zone, significant reduction of collapse capacity can occur once...
journal article 2021
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Li, X. (author), Hulshoff, S.J. (author), Hickel, S. (author)
Adaptive Mesh Refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). When combined with adjoint methods, which are able to localize error contributions, AMR can generate meshes that are optimal for computing a physical quantity of...
journal article 2021
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Li, X. (author), Cheng, Ai Jie (author), Lin, H.X. (author)
We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems. Ensemble Kalman filter assumes that the model errors and observation errors are Gaussian distributed. Particle filter has demonstrated its...
journal article 2021
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Li, X. (author), Saeedifar, M. (author), Benedictus, R. (author), Zarouchas, D. (author)
This paper investigates the loading rate effect on both mechanical properties and damage accumulation process of [0°2/90°4]S carbon fiber-polymer laminates under tensile loading. In-situ edge observations, Acoustic Emission and Digital Image Correlation techniques were utilized simultaneously to monitor the state of damage in real time. Results...
journal article 2021
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Kong, Xiangshao (author), Zhou, Hu (author), Kuang, Zheng (author), Zheng, Cheng (author), Li, X. (author), Wu, Weiguo (author), Guan, Zhongwei (author)
Test on a small scaled model is an effective approach to predict the dynamic response of full scale structure under blast loadings. However, the geometric dimensions of specimens cannot simply comply with complete geometrical similarity due to manufacture or test restrictions. It would result in the difference structural performance between...
journal article 2021
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Li, X. (author), Hulshoff, S.J. (author), Hickel, S. (author)
Adaptive mesh refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). Adjoint methods, which are able to localize error contributions, can be used to optimize the mesh for computing a physical quantity of interest (e.g. lift, drag)...
journal article 2021
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Lumban-Gaol, Y. A. (author), Chen, Z. (author), Smit, M. (author), Li, X. (author), Erbaşu, M. A. (author), Verbree, E. (author), Balado Frías, J. (author), Meijers, B.M. (author), van der Vaart, C.G. (author)
Point cloud data have rich semantic representations and can benefit various applications towards a digital twin. However, they are unordered and anisotropically distributed, thus being unsuitable for a typical Convolutional Neural Networks (CNN) to handle. With the advance of deep learning, several neural networks claim to have solved the...
journal article 2021
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Li, X. (author), Kupski, J.A. (author), Teixeira De Freitas, S. (author), Benedictus, R. (author), Zarouchas, D. (author)
This study investigates the early fatigue damage of cross-ply carbon/epoxy laminates. The aim is to unfold the damage accumulation process, understand the interaction between different damage mechanisms, and quantify their contribution to stiffness degradation. Tension-tension fatigue tests were performed, while edge observation and DIC...
journal article 2020
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Li, X. (author)
The development of solid state lighting (SSL) has been involving with improving the luminaire efficiency and integrating non-luminous functions, also known as More than Illumination. The objective of this thesis is to investigate different solutions for the concept of More than Illumination for SSL applications, to combine general lighting with...
doctoral thesis 2020
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Li, X. (author), Rozendaal, M.C. (author), Jansen, K.M.B. (author), Jonker, C.M. (author), Vermetten, Eric (author)
We propose an approach to designing smart wearables that act as partners to help people cope with stress in daily life. Our approach contributes to the developing field of smart wearables by addressing how technological capabilities can be designed to establish partnerships that consider the person, the situation, and the appropriate type of...
journal article 2020
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Vitalis, S. (author), Labetski, A. (author), Boersma, F. (author), Dahle, F. (author), Li, X. (author), Arroyo Ohori, G.A.K. (author), Ledoux, H. (author), Stoter, J.E. (author)
As web applications become more popular, 3D city models would greatly benefit from a proper web-based solution to visualise and manage them. CityJSON was introduced as a JSON encoding of the CityGML data model and promises, among several benefits, the ability to be integrated with modern web technologies. In order to provide an implementation...
journal article 2020
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Li, X. (author), Li, Zhenghui (author), Fioranelli, F. (author), Yang, Shufan (author), Romain, Olivier (author), Le Kernec, Julien (author)
Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find the algorithm (features plus classifier) that can deal with multiple activities analysed in...
journal article 2020
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Li, X. (author), Jansen, K.M.B. (author), Zhang, X. (author), Rozendaal, M.C. (author), Jonker, C.M. (author)
Stress is an important aspect of mental health which impacts on wellbeing. Wearable devices are increasingly used to help people deal with stress in daily life. However, most of the current applications focus on detecting and representing physiological data. In this paper we report on the design of an integrated wearable system composed of...
conference paper 2020
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Li, X. (author), Jiang, X. (author), Hopman, J.J. (author)
Flexible risers that for deep-water production are designed with strong collapse capacity. However, this collapse capacity is susceptible to pipe curvature in the flooded annulus condition. For the curved riser sections within the touchdown zone, significant reduction of collapse capacity can occur once the external sheaths are worn out,...
journal article 2020
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Li, X. (author), Jiang, X. (author), Hopman, J.J. (author)
As offshore hydrocarbon production moves towards ultra-deep water, flexible risers have to withstand the huge hydro-static pressure without collapse. They are designed with strong collapse capacities, allowing them to operate under the condition where their annuli are flooded by the seawater. However, initial imperfections can weaken the...
journal article 2020
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Li, X. (author), He, Y. (author), Fioranelli, F. (author), Jing, X. (author), Yarovoy, Alexander (author), Yang, Y. (author)
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD)...
journal article 2020
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Vermetten, Eric (author), Tielman, M.L. (author), van Dort, Ewout (author), Binsch, Olaf (author), Li, X. (author), Rozendaal, M.C. (author), Veldkamp, Bernard (author), Wynn, Gary (author), Jetly, Rakesh (author)
Introduction: Virtual reality (VR)-based interventions, wearable technology and text mining hold promising potential for advancing the way in which military and Veteran mental health conditions are diagnosed and treated. They have the ability to improve treatment protocol adherence, assist in the detection of mental health conditions, enhance...
journal article 2020
Searched for: author%3A%22Li%2C+X.%22
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