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163 results on '"Feng, Jinpeng"'

38. A deep learning-based interferometric synthetic aperture radar framework for abnormal displacement deformation prediction of bridges.

Author

Feng, Jinpeng, Gao, Kang, Wu, Gang, Xu, Yichao, and Jiang, Hejun

Subjects
*SYNTHETIC apertures, *SYNTHETIC aperture radar, *DEFORMATIONS (Mechanics), *DEEP learning, *REQUIREMENTS engineering
Abstract

This paper first proposes a novel framework for combining deep learning approach and Synthetic Aperture Radar (SAR) technique to evaluate and predict the condition of bridge displacement. The Long short-term memory (LSTM) neural network and the Small Baseline Subsets InSAR (SBAS-InSAR) are used to predict the longitudinal deformation of the bridge. Firstly, the proposed framework based on LSTM is established to obtain the relationship between the longitudinal deformation of the bridge and the influence parameters (such as temperature, temporal baseline, and others). In particular, the residual connection (RC) module is adapted to form the residual long short-term memory (Res-LSTM) neural network to improve prediction accuracy and robustness. A case study in Nanjing is analyzed to verify the performance of the proposed framework. The extracted datasets obtained from Sentienl-1 are divided into the training, validation, and testing dataset, which can satisfy the requirements in the engineering field. The R 2 and MSE of the testing datasets utilizing the proposed model are 93.17% and 15.62. Furthermore, the results indicated that the proposed framework based on Res-LSTM could predict and warn the abnormal structural deformation, extend the lifespan of structures, and minimize structural damage due to excessive deformation. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Study on the influence mechanism of Mg2+ modification on vermiculite thermal expansion based on molecular dynamics simulation

Author

Meng Liu, Feng Jinpeng, Wei Mo, Shaojian Ma, Linzong Fu, Yang Jinlin, and Su Xiujuan

Subjects
010302 applied physics, Materials science, Scanning electron microscope, Process Chemistry and Technology, Binding energy, Infrared spectroscopy, 02 engineering and technology, Vermiculite, 021001 nanoscience & nanotechnology, 01 natural sciences, Thermal expansion, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Expansion ratio, Chemical engineering, 0103 physical sciences, Materials Chemistry, Ceramics and Composites, 0210 nano-technology, Spectroscopy, Magnesium ion
Abstract

The thermal insulating performance of expanded vermiculite is closely related to expansibility. A novel method of Mg2+ modification was proposed to improve the vermiculite expansion ratio. The modification process was characterised by energy dispersive X-Ray spectroscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, thermogravimetric-differential scanning calorimeter and scanning electron microscopy. Moreover, the thermal expansion experiment was performed to investigate the expansion behaviours of Raw-V and Mg–V samples at various temperatures. The result indicated that the introduction of Mg2+ could increase the vermiculite interlayer water content through hydration interaction, and the expansion ratio increased 13.7% under the heating temperature of 900 °C after modification. To explain the interaction of magnesium ion and water molecules, a molecular dynamics model was developed, and the simulation results were validated using the binding energy calculation. The results of this study can provide a new perspective and theoretical guidance for the commercial process of vermiculite expansion.

Published
2020

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