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浏览/检索结果: 共11条，第1-10条 帮助

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Experimental and numerical investigations on cross rock pillar method for super large cross-sectional tunnel excavation 期刊论文  OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2023, 卷号: 82, 期号: 7, 页码: -
作者:  Sang, Haomin;  Liu, Bin;  Kang, Yongshui;  Liu, Quansheng;  Pan, Yucong
  |  收藏  |  浏览/下载：72/0  |  提交时间：2023/08/02
A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 卷号: 18, 期号: 1, 页码: 18
作者:  Li, Yuanzheng;  Wang, Wenjing;  Wang, Yating;  Xin, Yashu
  |  收藏  |  浏览/下载：30/0  |  提交时间：2021/03/15
A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 卷号: 18, 期号: 1, 页码: 18
作者:  Li, Yuanzheng;  Wang, Wenjing;  Wang, Yating;  Xin, Yashu;  He, Tian
  |  收藏  |  浏览/下载：16/0  |  提交时间：2021/03/15
A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 卷号: 18, 期号: 1, 页码: -
作者:  Li, Yuanzheng;  Wang, Wenjing;  Wang, Yating;  Xin, Yashu;  He, Tian
  |  收藏  |  浏览/下载：18/0  |  提交时间：2021/12/21
The linear analysis of thin shell problems using the numerical manifold method 期刊论文  OAI收割
THIN-WALLED STRUCTURES, 2018, 卷号: 124, 页码: 366-383
作者:  Guo, Hongwei;  Zheng, Hong
  |  收藏  |  浏览/下载：35/0  |  提交时间：2018/06/05
Feasibility Investigation of 3D Printing Technology for Geotechnical Physical Models: Study of Tunnels 期刊论文  OAI收割
ROCK MECHANICS AND ROCK ENGINEERING, 2018, 卷号: 51, 期号: 8, 页码: 2617-2637
作者:  Song, Leibo;  Jiang, Quan;  Shi, Ying-En;  Feng, Xia-Ting;  Li, Yuanhui
  |  收藏  |  浏览/下载：11/0  |  提交时间：2020/04/08
3D Monte Carlo Reconstruction and Characterization of LiCoO2 Cathode 期刊论文  OAI收割
journal of inorganic materials, 2013, 卷号: 28, 期号: 11, 页码: 1243-1247
作者:  Wu Wei;  Jiang Fang-Ming;  Chen Zhi;  Wang Ying;  Zhao Feng-Gang
收藏  |  浏览/下载：58/0  |  提交时间：2016/10/26
Study of the neural network constitutive models for turfy soil with different decomposition degree (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  Nie L.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
The turfy soil is of a special humus soil. The decomposition degree is the main factor on the physical and mechanical properties of turfy soil. To build the turfy soil constitutive model  there are a few shortages such as the calculation cumbersome and low accuracy for parameter value with the method of traditional models. Furthermore  those methods did not reflect the influence of strength that effected by decomposition degree of the turfy soil. In this paper  the relationship of stress-strain with different decomposition degrees of turfy soil was carried out through indoor tests. Based on above experimental results  an improved method  which divided into different zones according to different decomposition degrees of turfy soil and calculated combining with neural network constitutive model is put forward. The result shows that  the neural network of turfy soil has good fitting precision and good generalization ability. It can fully describe the influence of the turfy soil. 2011 IEEE.  
Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  Wang Y.;  Li J.;  Li J.;  Li J.;  Wang Y.
收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25
This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.  
Quasi-physical algorithm for protein folding in an off-lattice model 期刊论文  OAI收割
COMMUNICATIONS IN THEORETICAL PHYSICS, 2007, 卷号: 47, 期号: 1, 页码: 181-185
作者:  Lu Zhi-Peng;  Huang Wen-Qi;  Shi He
  |  收藏  |  浏览/下载：9/0  |  提交时间：2018/07/30