Yu Xiaolin
South China University of Technology
18 Papers
13 Citations
Yu Xiaolin is an academic researcher from South China University of Technology. The author has contributed to research in topics: Vibration & Computer science. The author has an hindex of 3, co-authored 17 publications.
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Papers
Effects of Stochastic Excitation and Phase Lag of Pedestrians on Lateral Vibration of Footbridges
TL;DR: In this article, a model for predicting the lateral vibration of footbridges is proposed under an algebraic framework of nonlinear stochastic vibration, the narrow-band vibration caused by the pedestrian intra-subject randomness and the phase lag between the footbridge motion and the pedestrian load are considered.
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A new sampling strategy for Kriging-based response surface method and its application in structural reliability
TL;DR: In this article, a new sampling strategy is proposed to improve the robustness and efficiency of the Kriging-based response surface method, and the number-theoretic method is utilized to generate response surfaces.
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Study on the System Reliability of Steel-Concrete Composite Beam Cable-stayed Bridge
TL;DR: In this article, a nonlinear element model with 10 degrees of freedom (DOF) is adopted for the component reliability of the steel-concrete composite beam, which can consider the particular longitudinal slip effect between the steel and concrete.
Multiple CAR-T cell therapy for acute B-cell lymphoblastic leukemia after hematopoietic stem cell transplantation: A case report
Lei Deng,Yu Xiaolin,Qian Wu,Xiaochen Song,Wenjun Li,Y Hou,Yue Liu,Jing Wang,Jun Tian,Xiaona Zuo,Fa-Chen Zhou +10 more
TL;DR: In this paper , the authors report the treatment of a patient with acute lymphoblastic leukemia (B-ALL) who relapsed after allogeneic stem cell transplantation (HSCT), had a complete remission (CR) to murine scFv CD19 CAR-T but relapsed 15 months later.
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Stability analysis of pedestrian-induced large lateral vibration on a footbridge
TL;DR: A novel nonlinear stochastic vibration model is proposed by fitting the laboratory data of Ingólfsson et al., and the analytical solution is obtained by using the stochastically average method.
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