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Assessment and prediction of the mechanical properties of ternary geopolymer concrete
Jinliang LIU; Wei ZHAO; Xincheng SU; Xuefeng XIE
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1436-1452 doi: 10.1007/s11709-022-0889-y
Keywords: Ternary Geopolymer Concrete (TGC) alkaline activator modulus alkali content mechanical properties assessment
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 665-681 doi: 10.1007/s11709-021-0713-0
Keywords: long contraction scour prediction uncertainty ANFIS model meta-heuristic algorithm
Meteorological technology application and development in wind energy resources utilization
Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,
Strategic Study of CAE 2012, Volume 14, Issue 9, Pages 96-101
Keywords: wind power resource meteorological technology observation and assessment simulation and prediction
Summary of Research Progress and Methods of Disruptive Technology in China and Abroad
Sun Yongfu, Wang Liheng, Lu Chunhua, Sun Zongtan, Wang Kunsheng, Xu Yuan
Strategic Study of CAE 2018, Volume 20, Issue 6, Pages 14-23 doi: 10.15302/J-SSCAE-2018.06.003
At present, technological innovation has entered an unprecedentedly intensive and active period worldwide, while some major disruptive technologies are constantly emerging. These disruptive technologies have accelerated the iteration of new industries and formats, are profoundly influencing the balance among national powers, and will contribute in reshaping the world economic structure and the international competition pattern. To seize this opportunity given by the times, countries are now actively engaged in early identification and nurture of disruptive technologies. In this paper, research reports on disruptive technologies in China and abroad are extensively followed, and research progress and methods of disruptive technologies are summarized, analyzed and evaluated. This paper also puts forward some suggestions to promote the scientific development of disruptive technology research in China, including establishment of specialized think tanks by concentrating superior resources, establishment of a scientific technology evaluation system, etc.
Keywords: disruptive technology assessment and prediction methods
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
Structural pavement assessment in Germany
Lutz PINKOFSKY, Dirk JANSEN
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2, Pages 183-191 doi: 10.1007/s11709-017-0412-z
Keywords: pavement assessment Germany structure system
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
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4, Pages 523-535 doi: 10.1007/s11705-021-2083-5
Keywords: solubility prediction machine learning artificial neural network random decision forests
Title Author Date Type Operation
Assessment and prediction of the mechanical properties of ternary geopolymer concrete
Jinliang LIU; Wei ZHAO; Xincheng SU; Xuefeng XIE
Journal Article
Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related
Journal Article
Meteorological technology application and development in wind energy resources utilization
Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,
Journal Article
Summary of Research Progress and Methods of Disruptive Technology in China and Abroad
Sun Yongfu, Wang Liheng, Lu Chunhua, Sun Zongtan, Wang Kunsheng, Xu Yuan
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
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Journal Article