Search scope:
排序: Display mode:
LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru
Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3, Pages 334-338 doi: 10.1007/s11783-007-0057-6
Keywords: nonlinear reconstruction WWTP influent characteristic Reasonable forecasting
LIU Yiping, YANG Weilin, WANG Jing
Frontiers in Energy 2008, Volume 2, Issue 2, Pages 152-157 doi: 10.1007/s11708-008-0012-7
Keywords: two-phase Superficial reasonable prediction one-dimensional gas-liquid
Reasonable Rated Voltage of High and Medium Power Adjustable-Speed Drives for Energy Saving
Ma Xiaoliang
Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 80-84
Keywords: high and medium power adjustable-speed drives for energy saving reasonable rated voltage low voltage
Zhang Jianmin,Xiao Rucheng
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 37-42
In this paper, a model for spatial nonlinear optimization programming to obtain the prestresses of cables in the cable-stayed bridge is established, in which the bending strain energy of the beams for the bridge and the cable tower is the objective function, and structural stresses and the cable forces are the constraint conditions. In order to determine the prestresses of the cables of the bridge, the first order optimization method is used to solve the program. This method is used to obtain set of optimal cable tensions of a thousand-meter scale cable-stayed bridge under permanent loads, and the result of analysis showed that the method is easy to apply and effective.
Keywords: cable-stayed bridge first order optimization method reasonable finished dead state
Aerodynamic challenges in span length of suspension bridges
XIANG Haifan, GE Yaojun
Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2, Pages 153-162 doi: 10.1007/s11709-007-0016-0
Keywords: requirement reasonable limitation challenge particular economical construction
Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective
Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan
Strategic Study of CAE 2022, Volume 24, Issue 6, Pages 146-153 doi: 10.15302/J-SSCAE-2022.06.013
Keywords: reasonable scale multivariate data central urban area megacity happiness
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Frontiers of Medicine 2022, Volume 16, Issue 3, Pages 496-506 doi: 10.1007/s11684-021-0828-7
Keywords: XGBoost deep neural network healthcare risk prediction
Position-varying surface roughness prediction method considering compensated acceleration in milling
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 855-867 doi: 10.1007/s11465-021-0649-z
Keywords: surface roughness prediction compensated acceleration milling thin-walled workpiece
Improved prediction of pile bending moment and deflection due to adjacent braced excavation
Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0961-2
Keywords: pile responses excavation prediction deflection bending moments
Reliability prediction and its validation for nuclear power units in service
Jinyuan SHI,Yong WANG
Frontiers in Energy 2016, Volume 10, Issue 4, Pages 479-488 doi: 10.1007/s11708-016-0425-7
Keywords: nuclear power units in service reliability reliability prediction equivalent availability factors
Trend prediction technology of condition maintenance for large water injection units
Xiaoli XU, Sanpeng DENG
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 171-175 doi: 10.1007/s11465-009-0091-0
Keywords: water injection units condition-based maintenance trend prediction
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
Prediction of the shear wave velocity
Amoroso SARA
Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1, Pages 83-92 doi: 10.1007/s11709-013-0234-6
Keywords: horizontal stress index shear wave velocity flat dilatometer test cone penetration test
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 72-82 doi: 10.1007/s11709-013-0185-y
Keywords: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
Title Author Date Type Operation
Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos
LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru
Journal Article
Experimental study for the stratified to slug flow regime transition mechanism of gas-oil two-phase flow in horizontal pipe
LIU Yiping, YANG Weilin, WANG Jing
Journal Article
Reasonable Rated Voltage of High and Medium Power Adjustable-Speed Drives for Energy Saving
Ma Xiaoliang
Journal Article
Spatial Nonlinear Analysis of the Reasonable Cable Tension for a Thousand-meter Scale Cable-stayed Bridge
Zhang Jianmin,Xiao Rucheng
Journal Article
Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective
Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan
Journal Article
Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
Journal Article
Position-varying surface roughness prediction method considering compensated acceleration in milling
Journal Article
Improved prediction of pile bending moment and deflection due to adjacent braced excavation
Journal Article
Reliability prediction and its validation for nuclear power units in service
Jinyuan SHI,Yong WANG
Journal Article
Trend prediction technology of condition maintenance for large water injection units
Xiaoli XU, Sanpeng DENG
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article