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公开(公告)号:US20250148173A1
公开(公告)日:2025-05-08
申请号:US18925255
申请日:2024-10-24
Inventor: Mingrui DU , Xupei YAO , Hongyuan FANG , Peng ZHAO , Haijian Su , Niannian Wang , Xueming Du , Xiaohua ZHAO , Binghan Xue
Abstract: Provided is a method and system for predicting a hydration reaction degree of cement based on a cycle generative adversarial network (CycleGAN). The method includes the following steps: S1, acquiring a micro-structure image of a cement paste test specimen; S2, establishing a micro-pore structure image dataset; S3, establishing a cement micro-hydration prediction model based on a CycleGAN; and S4, completing prediction based on a final cement micro-hydration prediction model. A deep learning algorithm is applied to micro-hydration prediction of cement. A complex theoretical formula is replaced with a data driven mode. Dependence on ideal hypotheses is reduced, and the accuracy of prediction on micro-hydration of cement is thus improved.
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公开(公告)号:US20210285179A1
公开(公告)日:2021-09-16
申请号:US17331656
申请日:2021-05-27
Inventor: Fuming Wang , Mingsheng Shi , Chaojie Wang , Chengchao Guo , Peng Zhao , Binghan Xue , Yangyang Xia , Yanjie Hao , Xijun Zhang , Xianfeng Zhao , Yingli Wang
Abstract: A method for stabilizing and lifting a channel board by underwater grouting includes (A) when the channel board is damaged, removing the damaged channel board, cleaning and leveling a gravel layer under the damaged channel board, placing an undamaged channel board installed with first grouting pipes and a second grouting pipe on the gravel layer, wherein multiple geotextile bags are respectively bound to the first grouting pipes; when the channel board is subsided, installing first grouting pipes and a second grouting pipe into first grouting holes and a second grouting hole, respectively; (B) performing a first polymer grouting through the first grouting pipes, and performing a second polymer grouting through the second grouting pipe; (C) cutting off a part of the first grouting pipes the second grouting pipe which are exposed to the channel board, and leveling incisions; and (D) removing excess polymer left on the channel board.
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公开(公告)号:US11499284B2
公开(公告)日:2022-11-15
申请号:US17334701
申请日:2021-05-29
Inventor: Fuming Wang , Chengchao Guo , Chaojie Wang , Mingsheng Shi , Peng Zhao , Yanhui Pan , Xianfeng Zhao , Binghan Xue , Yanjie Hao , Xijun Zhang , Yangyang Xia , Yingli Wang
Abstract: A trough plate for constructing a locked polymer anti-seepage wall includes a plate body, a guide tube, a grouting pipe and an anti-blocking head. A construction method of the locked polymer anti-seepage wall includes the steps of positioning an Nth trough plate and then pressing the Nth trough plate into ground, wherein N is a natural number larger than and equal to 1; engaging an (N+1)th trough plate with the Nth trough plate, and then pressing the (N+1)th trough plate into the ground; connecting a grouting pipe of the Nth trough plate with a grouting machine, pulling out the Nth trough plate, and simultaneously grouting through the grouting pipe of the Nth trough plate by the grouting machine; and repeating the steps (B) and (C) till the locked polymer anti-seepage wall is completed, wherein the steps (B) and (C) are repeated every time, N is automatically increased by 1.
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公开(公告)号:US20210285180A1
公开(公告)日:2021-09-16
申请号:US17334701
申请日:2021-05-29
Inventor: Fuming Wang , Chengchao Guo , Chaojie Wang , Mingsheng Shi , Peng Zhao , Yanhui Pan , Xianfeng Zhao , Binghan Xue , Yanjie Hao , Xijun Zhang , Yangyang Xia , Yingli Wang
Abstract: A trough plate for constructing a locked polymer anti-seepage wall includes a plate body, a guide tube, a grouting pipe and an anti-blocking head. A construction method of the locked polymer anti-seepage wall includes the steps of positioning an Nth trough plate and then pressing the Nth trough plate into ground, wherein N is a natural number larger than and equal to 1; engaging an (N+1)th trough plate with the Nth trough plate, and then pressing the (N+1)th trough plate into the ground; connecting a grouting pipe of the Nth trough plate with a grouting machine, pulling out the Nth trough plate, and simultaneously grouting through the grouting pipe of the Nth trough plate by the grouting machine; and repeating the steps (B) and (C) till the locked polymer anti-seepage wall is completed, wherein the steps (B) and (C) are repeated every time, N is automatically increased by 1.
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公开(公告)号:US11598065B2
公开(公告)日:2023-03-07
申请号:US17331656
申请日:2021-05-27
Inventor: Fuming Wang , Mingsheng Shi , Chaojie Wang , Chengchao Guo , Peng Zhao , Binghan Xue , Yangyang Xia , Yanjie Hao , Xijun Zhang , Xianfeng Zhao , Yingli Wang
Abstract: A method for stabilizing and lifting a channel board by underwater grouting includes (A) when the channel board is damaged, removing the damaged channel board, cleaning and leveling a gravel layer under the damaged channel board, placing an undamaged channel board installed with first grouting pipes and a second grouting pipe on the gravel layer, wherein multiple geotextile bags are respectively bound to the first grouting pipes; when the channel board is subsided, installing first grouting pipes and a second grouting pipe into first grouting holes and a second grouting hole, respectively; (B) performing a first polymer grouting through the first grouting pipes, and performing a second polymer grouting through the second grouting pipe; (C) cutting off a part of the first grouting pipes the second grouting pipe which are exposed to the channel board, and leveling incisions; and (D) removing excess polymer left on the channel board.
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公开(公告)号:US20210319265A1
公开(公告)日:2021-10-14
申请号:US17356533
申请日:2021-06-24
Inventor: Hongyuan Fang , Niannian Wang , Qunfang Hu , Binghan Xue , Xueming Du , Fan Huang
Abstract: A method for segmentation of underground drainage pipeline defects based on full convolutional neural network includes steps of: collecting a data set of the underground drainage pipeline defects; processing the data set of the underground drainage pipeline defects; optimizing with a semantic segmentation algorithm; adjusting model hyperparameters; training a model; verifying the model; and testing the model. The method adopts a deep learning algorithm, optimizes the FCN full convolutional neural network, develops a semantic segmentation method suitable for complex and similar defect characteristics of underground drainage pipelines, and adopts real underground drainage pipeline defect detection big data, thereby realizing pixel-level segmentation of the underground drainage pipeline defects and providing better robustness and generality. The detection accuracy and efficiency of the underground drainage pipeline defects are effectively improved.
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