Resource Type

Journal Article 400

Year

2023 25

2022 36

2021 26

2020 23

2019 27

2018 16

2017 26

2016 23

2015 21

2014 22

2013 9

2012 25

2011 17

2010 17

2009 10

2008 17

2007 17

2006 7

2005 6

2004 5

open ︾

Keywords

velocity distribution 4

Antibiotic resistance genes 3

China 3

Distribution 3

Drinking water distribution system 3

Weibull distribution 3

distribution 3

temperature distribution 3

Bacterial community 2

Characteristic 2

Lake sediment 2

Microplastic 2

Microplastics 2

Organic pollutants 2

blast load 2

carbonate rock 2

differential mean value theorem (DMVT) 2

distribution characteristics 2

distribution grid 2

open ︾

Search scope:

排序： Display mode:

The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 24-29

Abstract: text-align: justify;">Comparison among predicted hurricane characteristics with the Poisson-Weibull compoundextreme value distribution proposed by the authors in 1982,  Poisson-nested logistic trivariatecompound extreme value distribution in 2004 and hurricane disaster prevention design criteria for NewOrleans (proposed by NOAA) shows that the compound extreme value distribution is a more reasonable model;Based on the lesson from Hurricane Katrina,  this paper involved the uncertainty analysis and multivariate

Keywords： Hurricane Katrina     compound extreme value distribution     multivariate compound extreme value distribution    

HTML PDF Collect

Shear stress distribution prediction in symmetric compound channels using data mining and machine learning

Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1097-1109 doi: 10.1007/s11709-020-0634-3

Abstract: Shear stress distribution prediction in open channels is of utmost importance in hydraulic structuralin prismatic compound channels.The shear stress values around the whole wetted perimeter were measured in the compound channel within the compound channel.indicated among these five models; RF method indicated the most precise results with the highest value

Keywords： compound channel     machine learning     SKM model     shear stress distribution     data mining models    

HTML PDF Collect

Intertidal area classification with generalized extreme value distribution and Markov random field in None

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 253-264 doi: 10.1631/FITEE.1700462

Abstract: The key point of the method is to combine the generalized extreme value (GEV) statistical model of the

Keywords： classification     Polarimetric synthetic aperture radar     Finite mixture model     Markov random field     Generalized extremevalue model    

HTML PDF Collect

Field investigation of intelligent compaction for hot mix asphalt resurfacing

Wei HU,Xiang SHU,Baoshan HUANG,Mark WOODS

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 47-55 doi: 10.1007/s11709-016-0362-x

Abstract: parameters derived from it were compared with univariate statistical parameters for the Compaction Meter ValueFurther analyses illustrated the effect of temperature on the CMV value and compaction uniformity.In the second project, a multivariate analysis was performed between in situ tests and IC data.

Keywords： intelligent compaction     compaction meter value (CMV)     semivariogram     multivariate analysis    

HTML PDF Collect

Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Article

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Engineering 2018, Volume 4, Issue 5,   Pages 617-626 doi: 10.1016/j.eng.2018.06.006

Abstract: ">This study develops a multivariateeco-hydrological risk-assessment framework based on the multivariate copula method in order to evaluatethe occurrence of extreme eco-hydrological events for the Xiangxi River within the Three Gorges ReservoirThe probabilistic features of bivariate and multivariate hydrological risk are also characterized.

Keywords： Flood risk     Copula     Multivariate flood frequency analysis     Distribution     Markov chain Monte Carlo    

HTML PDF Collect

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 787-799 doi: 10.1007/s11709-019-0516-8

Abstract: the unconfined compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariate

Keywords： full-depth reclamation     soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariate    

HTML PDF Collect

strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extremeThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

HTML PDF Collect

Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0945-3

Abstract: analyzed to assess the overall performance of CFB incineration by applying the Mahalanobis distance as a multivariate

Keywords： Municipal solid waste     Incineration     Circulating fluidized bed     Load change     Multivariate outlier detection    

HTML PDF Collect

Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 55-63

Abstract:

The definitions of extreme weather/climate events and "climate extremeOn the basis of classifying the extreme events into four categories (namely extremes caused by variationsin a single variable, events related to weather phenomena,compound events and climate extremes), therelated extreme indices as well as their trends and corresponding impacts under the background of globalMeanwhile, it is also necessary to strengthen engineering defense measures based on changes in extreme

Keywords： extreme climate indices     high impacts     meteorological disasters     engineering    

HTML PDF Collect

Steam reforming of toluene as a tar model compound with modified nickel-based catalyst

Omeralfaroug KHALIFA, Mingxin XU, Rongjun ZHANG, Tahir IQBAL, Mingfeng LI, Qiang LU

Frontiers in Energy 2022, Volume 16, Issue 3,   Pages 492-501 doi: 10.1007/s11708-021-0721-8

Abstract: Catalytic steam reforming is a promising route for tar conversion to high energy syngas in the process of biomass gasification. However, the catalyst deactivation caused by the deposition of residual carbon is still a major challenge. In this paper, a modified Ni-based Ni-Co/Al O -CaO (Ni-Co/AC) catalyst and a conventional Ni/Al O (Ni/A) catalyst were prepared and tested for tar catalytic removal in which toluene was selected as the model component. Experiments were conducted to reveal the influences of the reaction temperature and the ratio between steam to carbon on the toluene conversion and the hydrogen yield. The physicochemical properties of the modified Ni-based catalyst were determined by a series of characterization methods. The results indicated that the Ni-Co alloy was determined over the Ni-Co/AC catalyst. The doping of CaO and the presence of Ni-Co alloy promoted the performance of toluene catalytic dissociation over Ni-Co/AC catalyst compared with that over Ni/A catalyst. After testing in steam for 40 h, the carbon conversion over Ni-Co/AC maintained above 86% and its resistance to carbon deposition was superior to Ni/A catalyst.

Keywords： catalytic steam reforming     tar model compound     Ni-based catalyst     carbon resistance    

HTML PDF Collect

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: The models include three different types of extreme learning machines, including the standard, onlinesequential, and kernel extreme learning machines, in addition to the artificial neural network, classificationThe online sequential extreme learning machine model demonstrated superior performance over the other

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

HTML PDF Collect

R158Q and G212S, novel pathogenic compound heterozygous variants in of Gitelman syndrome

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 932-945 doi: 10.1007/s11684-022-0963-9

Abstract: Meanwhile, we conducted a compound heterozygous model—Ncc R156Q/G210S mice corresponding to human NCC

Keywords： Gitelman syndrome     mouse model     compound heterozygous     hypokalemia     Slc12a3    

HTML PDF Collect

A compound load simulator based on zero-torsion parallel mechanisms

Jingjun YU, Wei LI, Xu PEI, Shusheng BI, Guanghua ZONG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 1-4 doi: 10.1007/s11465-012-0306-7

HTML PDF Collect

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: temporal and spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

HTML PDF Collect

compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 821-830 doi: 10.1007/s11709-019-0518-6

Abstract: Many studies have evaluated the effects of additives such as nano-silica (NS), micro-silica (MS) and polymer fibers on optimizing the mechanical properties of concrete, such as compressive strength. Nowadays, with progress in cement industry provides, it has become possible to produce cement type I with strength classes of 32.5, 42.5, and 52.5 MPa. On the one hand, the microstructure of cement has changed, and modified by NS, MS, and polymers; therefore it is very important to determine the optimal percentage of each additives for those CSCs. In this study, 12 mix designs containing different percentages of MS, NS, and polymer fibers in three cement strength classes(CSCs) (32.5, 42.5, and 52.5 MPa) were designed and constructed based on the mixture method. Results indicated the sensitivity of each CSCs can be different on the NS or MS in compressive strength of concrete. Consequently, strength classes have a significant effect on the amount of MS and NS in mix design of concrete. While, polymer fibers don’t have significant effect in compressive strength considering CSCs.

Keywords： mixture method     compressive strength     nano-silica     micro-silica     polypropylene fibers    

HTML PDF Collect

Title Author Date Type Operation

The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Journal Article

Shear stress distribution prediction in symmetric compound channels using data mining and machine learning

Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK

Journal Article

Intertidal area classification with generalized extreme value distribution and Markov random field in

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Journal Article

Field investigation of intelligent compaction for hot mix asphalt resurfacing

Wei HU,Xiang SHU,Baoshan HUANG,Mark WOODS

Journal Article

Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Journal Article

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Journal Article

strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Journal Article

Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Journal Article

Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Journal Article

Steam reforming of toluene as a tar model compound with modified nickel-based catalyst

Omeralfaroug KHALIFA, Mingxin XU, Rongjun ZHANG, Tahir IQBAL, Mingfeng LI, Qiang LU

Journal Article

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Journal Article

R158Q and G212S, novel pathogenic compound heterozygous variants in of Gitelman syndrome

Journal Article

A compound load simulator based on zero-torsion parallel mechanisms

Jingjun YU, Wei LI, Xu PEI, Shusheng BI, Guanghua ZONG

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Journal Article

compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article