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Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Strategic Study of CAE 2007, Volume 9, Issue 8,   Pages 77-81

Abstract: . , and output of penetration depth is established by dimensional analysis and theory of artificial neuralnetworks for problem of penetration depth of projectiles into concrete. Moreover,  a satisfied output about penetration depth from RBF neural network is gotten by

Keywords: neural networks     dimensional analysis     penetration depth of projectiles into concrete     nonlinear mapping    

Mechanical properties and impact resistance of concrete composites with hybrid steel fibers

Fatih ÖZALP; Halit Dilşad YILMAZ; Burcu AKCAY

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 615-623 doi: 10.1007/s11709-022-0828-y

Abstract: The aim of this study is to develop concrete composites that are resistant to armor-piercing projectiles(HPFRC) and Conventional (CFRC) Fiber Reinforced Concrete”.are examined, which are the penetration depth and damage area.The results of the study show that the depth of penetration in UHPFRC was around 35% less than that indepth) against armor-piercing projectiles in ballistic tests and could be used in defense structures

Keywords: projectile impact     depth of penetration     fracture energy     crater diameter     UHPFRC    

Experimental investigation of lavge-loading projectile penetrating

Zhao Shengwei,Gu Renhong,Chu Zhe,Li Ming

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 44-47

Abstract:

A thin-walls projectile has been designed,and penetration depth of projectilesAxial acceleration was evaluated by SAPLL. penetration process of projectile on penetrating concretePenetration depth and structure intensity of projectile were examined by a series of experiments on penetratingconcrete target on Ø130 mm gas-gun.concrete that is 300 mm in thickness was penetrated through.

Keywords: thin-walls projectile     concrete     penetration depth    

Carbonation depth prediction of fly ash concrete subjected to 2- and 3-dimensional CO attack

CHEN Shudong, SUN Wei, ZHANG Yunsheng, GUO Fei

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 395-400 doi: 10.1007/s11709-008-0046-2

Abstract: Based on accelerated carbonation test, 1D, 2D and 3D carbonation of high performance concrete with differentThe life prediction of concrete of Sutong Bridge beam shows that the 1D, 2D, 3D carbonation prediction

Cyclic behavior of stiffened joints between concrete-filled steel tubular column and steel beam withnarrow outer diaphragm and partial joint penetration welds

Chunyan QUAN,Wei WANG,Jian ZHOU,Rong WANG

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 3,   Pages 333-344 doi: 10.1007/s11709-016-0357-7

Abstract: This paper presented an investigation on a stiffened joint in practical engineering which was between concrete-filledsteel tubular column and steel beam with narrow outer diaphragm and partial joint penetration welds.mode and bearing capacity of the specimen which were influenced by the axial compression ratio of the concrete-filledThere was no hysteresis damage fracture on the narrow outer diaphragm connected to the concrete-filledsteel tubular column with partial joint penetration welds.

Keywords: narrow outer diaphragm     concrete-filled tubular column     joint     inner and outer stiffening     cyclic behavior    

Experimental, analytical and numerical studies on concrete encased trapezoidally web profiled cold formedsteel beams by varying depth-thickness ratio

Divahar RAVI, Aravind Raj PONSUBBIAH, Sangeetha Sreekumar PRABHA, Joanna Philip SARATHA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 930-946 doi: 10.1007/s11709-020-0652-1

Abstract: Concrete encased with trapezoidally corrugated web profiled cold-formed steel beams are used worldwidehigher load carrying capacity as well as significant increase in the bending stiffness by encasing concreteTo find the effect of concrete encasement in the web, 12 experiments were conducted by two differentBeams having three different web corrugation angles of 0°, 30°, and 45° with two different web depth-thicknessFrom the static bending tests the concrete encased trapezoidally corrugated web beam showed improved

Keywords: concrete encased beam     trapezoidally corrugated web     loading capacity     super elasto-plastic    

Energy absorption potential of concrete floors containing secondary (shrinkage and temperature) reinforcements

K. S. SIVAKUMARAN,R. M. KOROL,Xiao FAN

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 282-291 doi: 10.1007/s11709-014-0269-3

Abstract: This paper experimentally investigates the energy absorption potential of two types of concrete floors, namely, normal density concrete and structural low-density concrete, containing secondary (shrinkageestimate the extent to which crushing of floor slab materials would help absorb energy, a series of concretepenetration tests employing patch loading was undertaken on scaled down model slabs.Each concrete-secondary reinforcement combination considered slabs of 50 mm in depth with square plan

Keywords: concrete floors     structural low-density concrete     shrinkage and temperature reinforcements     energy absorption     penetration tests     sieve analysis    

Aerobic granular sludge formation based on substrate availability: Effects of flow pattern and fermentation pretreatment

Quan Yuan, Hui Gong, Hao Xi, Kaijun Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1226-0

Abstract: Penetration depth and substrate characters affect AGS formation and performance.The anaerobic plug-flow feeding mode (with influent fed slowly from the bottom) in R2 provided deeper penetrationdepth for the substance to reach the core of AGS and accordingly strengthen AGS stability.

Keywords: Anaerobic plug-flow feeding mode     Anaerobic mixed-flow mode     Fermentation pretreatment     Substrate gradient     Penetrationdepth    

Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2,   Pages 222-226 doi: 10.1007/s11709-017-0423-9

Abstract: Full-Depth Reclamation (FDR) is a sustainable method of building pavement structure compared to more

Keywords: raveling     full depth reclamation    

Hollow-fiber gas penetration electrodes efficiently produce renewable synthetic fuels

Frontiers in Energy 2022, Volume 16, Issue 5,   Pages 700-705 doi: 10.1007/s11708-022-0842-8

Enhanced penetration strategies for transdermal delivery

Qiaofei Pan, Yinglin Yu, Dong Chen, Genlong Jiao, Xiaowen Liu

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3,   Pages 378-388 doi: 10.1007/s11705-019-1913-1

Abstract: Transdermal delivery offers several advantages in drug distribution, including convenience, painless administration, avoidance of first-pass metabolism, and ease of termination. However, the natural protective barriers of the skin, such as the stratum corneum, the topmost layer of skin, limit the systemic absorption of external therapeutics via transdermal delivery. Therefore, extensive application of transdermal delivery in medical treatment has been limited. Over the past few years, many formulation strategies and physical technologies, therefore, have been developed to enhance transdermal delivery. This review summarizes various formulation strategies proposed for transdermal delivery and their application in medical treatment.

Keywords: transdermal delivery     stratum corneum     enhanced penetration     therapeutics    

Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 103-109 doi: 10.1007/s11709-018-0474-6

Abstract: This paper presents a simple and efficient equation for calculating the Fox depth correction factor usedClassical solution of Boussinesq theory was used originally to develop the Fox depth correction factoris straightforward, competent and easy to use for both manual and automated calculation of the Fox depthin the later part of the paper to analyse the extent of effect of a particular variable on the Fox depth

Keywords: settlement     embedment     Fox depth correction factor     regression     multivariable    

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

Abstract: This paper examines the potential of SVM model in prediction of liquefaction using actual field cone penetration

Keywords: earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

Study on factor of guss asphalt mixture performance

Wang Hongchang,Li Guofen,Zhang Dengjing

Strategic Study of CAE 2013, Volume 15, Issue 8,   Pages 70-74

Abstract:

Gussasphalt concrete has been widely used in steel bridge deck pavementThe best asphalt content was determined by fluidity tests and penetration tests.

Keywords: road engineering     steel deck pavement     guss asphalt concrete     fluidity     penetration     rutting    

Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 855-866 doi: 10.1007/s11709-020-0619-2

Abstract: Scour depth around bridge piers plays a vital role in the safety and stability of the bridges.The former approaches used in the prediction of scour depth are based on regression models or black boxdevelop new equations using particle swarm optimization as a metaheuristic approach to predict scour depthMoreover, the ratio of pier width to flow depth and ratio of 50 (mean particle diameter) to flow depthThe derived equations can be used as a suitable proxy to estimate scour depth in both experimental and

Keywords: scour depth     bridge design and construction     particle swarm optimization     computational mechanics     artificial    

Title Author Date Type Operation

Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Journal Article

Mechanical properties and impact resistance of concrete composites with hybrid steel fibers

Fatih ÖZALP; Halit Dilşad YILMAZ; Burcu AKCAY

Journal Article

Experimental investigation of lavge-loading projectile penetrating

Zhao Shengwei,Gu Renhong,Chu Zhe,Li Ming

Journal Article

Carbonation depth prediction of fly ash concrete subjected to 2- and 3-dimensional CO attack

CHEN Shudong, SUN Wei, ZHANG Yunsheng, GUO Fei

Journal Article

Cyclic behavior of stiffened joints between concrete-filled steel tubular column and steel beam withnarrow outer diaphragm and partial joint penetration welds

Chunyan QUAN,Wei WANG,Jian ZHOU,Rong WANG

Journal Article

Experimental, analytical and numerical studies on concrete encased trapezoidally web profiled cold formedsteel beams by varying depth-thickness ratio

Divahar RAVI, Aravind Raj PONSUBBIAH, Sangeetha Sreekumar PRABHA, Joanna Philip SARATHA

Journal Article

Energy absorption potential of concrete floors containing secondary (shrinkage and temperature) reinforcements

K. S. SIVAKUMARAN,R. M. KOROL,Xiao FAN

Journal Article

Aerobic granular sludge formation based on substrate availability: Effects of flow pattern and fermentation pretreatment

Quan Yuan, Hui Gong, Hao Xi, Kaijun Wang

Journal Article

Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

Journal Article

Hollow-fiber gas penetration electrodes efficiently produce renewable synthetic fuels

Journal Article

Enhanced penetration strategies for transdermal delivery

Qiaofei Pan, Yinglin Yu, Dong Chen, Genlong Jiao, Xiaowen Liu

Journal Article

Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

Study on factor of guss asphalt mixture performance

Wang Hongchang,Li Guofen,Zhang Dengjing

Journal Article

Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Journal Article