Resource Type

Journal Article 254

Conference Videos 4

Year

2024 27

2023 29

2022 32

2021 37

2020 20

2019 18

2018 5

2017 5

2016 3

2015 5

2014 5

2013 9

2012 3

2011 4

2010 5

2009 14

2008 7

2007 9

2006 3

2005 2

open ︾

Keywords

Reinforcement learning 17

concrete 5

fiber 5

steel fiber 5

Decision-making 4

Deep reinforcement learning 4

fiber-reinforced polymer 4

Autonomous driving 3

CFRP 3

shear strength 3

strengthening 3

ACF 2

Adaptive dynamic programming 2

Fiber 2

Fiber-reinforced polymer (FRP) 2

GFRP 2

Hollow fiber 2

Multi-agent reinforcement learning 2

Reinforcement learning (RL) 2

open ︾

Search scope:

排序： Display mode:

Monitoring corrosion of reinforcement in concrete structures via fiber Bragg grating sensors

Zhupeng ZHENG, Xiaoning SUN, Ying LEI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3,   Pages 316-319 doi: 10.1007/s11465-009-0040-y

Abstract: In this paper, using fiber Bragg grating (FBG), a corrosion sensor for monitoring steel rebars embeddedvolume and diameter of a rebar embedded in concrete will enlarge due to corrosion, an FBG packaged with fiber-reinforcedDuring corrosion, the increase in the bar diameter leads to the increase in fiber strain, which can be

Keywords： fiber Bragg grating (FBG)     corrosion     concrete structures     accelerated corrosion test    

HTML PDF Collect

Distributed fiber optic monitoring of a CFA pile with a central reinforcement bar bundle

Yi RUI, Nicholas de BATTISTA, Cedric KECHAVARZI, Xiaomin XU, Mei YIN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 167-176 doi: 10.1007/s11709-020-0581-z

Abstract: In this paper, we present an application of distributed fiber optic sensor (DFOS) technology to measurethe strain of a continuous flight auger (CFA) test pile with a central reinforcement bar bundle, duringThe effect of the reinforcement cage and central reinforcement bar bundle were investigated, and it wasfound that the addition of a reinforcement cage would reduce the pile settlement by up to 20%.

Keywords： continuous flight auger pile     static load test     central reinforcement bar bundle     distributed fiber optic    

HTML PDF Collect

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1025-1037 doi: 10.1007/s11709-021-0741-9

Abstract: The understanding of compressive and tensile behaviors of polypropylene fiber-reinforced cemented pastebackfill (FR-CPB) play crucial roles in the successful implementation of reinforcement technique in

Keywords： cemented paste backfill     fiber reinforcement     constitutive behavior     temperature     tailings    

HTML PDF Collect

Fatigue shear performance of concrete beams reinforced with hybrid (glass-fiber-reinforced polymer+ steel

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 576-594 doi: 10.1007/s11709-021-0728-6

Abstract: Reinforced concrete beams consisting of both steel and glass-fiber-reinforced polymer rebars exhibitFor specimens that failed by fatigue shear, all the glass-fiber-reinforced polymer stirrups and someThe fatigue strength of the glass-fiber-reinforced polymer stirrups in the specimens was considerablytests on the glass-fiber-reinforced polymer bar, and the failure modes were different.Glass-fiber-reinforced polymer stirrups were subjected to fatigue tension and shear, and failed owing

Keywords： fatigue     shear     hybrid stirrups     hybrid reinforcement     fiber-reinforced polymer    

HTML PDF Collect

Tensile strength behavior of cement-stabilized dredged sediment reinforced by polypropylene fiber

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 3,   Pages 380-392 doi: 10.1007/s11709-024-1072-4

Abstract: This study evaluated the feasibility of using polypropylene fiber (PF) as reinforcement in improvingShort, 3 mm, PF of showed the best reinforcement efficiency.sub>wb) and time parameter (qt0(t)) of CDS, and the reinforcementThe PF “bridge effect” and associated cementation-reinforcement coupling actions inside CPFDS were mainly

Keywords： dredged sediment     chemical stabilization     fiber reinforcement     splitting tensile strength     micro-mechanisms    

HTML PDF Collect

Experimental investigation of evolutive mode-I and mode-II fracture behavior of fiber-reinforced cemented

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 256-270 doi: 10.1007/s11709-022-0924-z

Abstract: temperature-dependent cement hydration causes the nonlinear evolution of fracture behavior and properties of fiber-reinforceddifferent curing times (3, 7, and 28 d) on the mode-I and mode-II fracture behavior and properties of fiber-reinforcedcoupled thermochemical effect results in strongly nonlinear development of pre- and post-peak behavior of fiber-reinforcedfindings and the developed mathematical tools have the potential to promote the successful application of fiber-reinforced

Keywords： fiber reinforcement     cemented paste backfill     fracture behavior     underground mine     cement hydration    

HTML PDF Collect

Non linear modeling of three-dimensional reinforced and fiber concrete structures

Fatiha IGUETOULENE, Youcef BOUAFIA, Mohand Said KACHI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 439-453 doi: 10.1007/s11709-017-0433-7

Abstract: Research in industry and science aims to extend forward the use of non-linear calculation of fiber concretefor structural parts such as columns, veils and pious, as the fiber concrete is more ductile behaviorFor the behavior of concrete and fiber concrete compressive and tensile strength (stress-strain) the

Keywords： numerical modeling     column and beam     nonlinear analysis     fibers     pious     reinforcement     3D formulation     response    

HTML PDF Collect

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: First, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controlling

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

HTML PDF Collect

Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcement    

HTML PDF Collect

Punching of reinforced concrete slab without shear reinforcement: Standard models and new proposal

Luisa PANI, Flavio STOCHINO

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1196-1214 doi: 10.1007/s11709-020-0662-z

Abstract: In this study an experimental database of 113 RC slabs without shear reinforcement under punching loadspunching shear strength assessment was conducted, which highlighted the importance of the flexural reinforcementstandards, a new proposed model for punching shear strength and rotation of RC slabs without shear reinforcementbased on a simplified load-rotation curve and new failure criteria that takes into account the flexural reinforcement

Keywords： punching shear strength     reinforced concrete     slabs     reinforcement ratio    

HTML PDF Collect

Spatial embedded reinforcement of 20-node block element for analysis PC bridges

LONG Peiheng, DU Xianting, CHEN Weizhen

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 274-280 doi: 10.1007/s11709-008-0039-1

Abstract: The formula for the contribution of prestressed reinforcement on embedded reinforcement element is derivedReinforcement element model allows generating a finite element mesh without taking into consideration

Keywords： arithmetic analysis     calculation     prestressed reinforcement     mechanical     arbitrary    

HTML PDF Collect

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1397-1414 doi: 10.1007/s11709-022-0860-y

Abstract: quantitative indices considering the severity of the ultimate collapse scenario are proposed using reinforcementindex-based methods, it is demonstrated that the computational cost is considerably reduced because the reinforcementBesides, it is proved that the Q values produced by the reinforcement learning agent can make

Keywords： progressive collapse     alternate load path     demolition planning     reinforcement learning     graph embedding    

HTML PDF Collect

Effect of earth reinforcement, soil properties and wall properties on bridge MSE walls

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1209-1221 doi: 10.1007/s11709-021-0764-2

Abstract: They have precast concrete panels attached to earth reinforcement.The effects of pore pressure, soil cohesion, earth reinforcement type and length, breakage/slippage ofreinforcement and concrete strength, were examined.Results showed that the wall movement is affected by soil pore pressure and reinforcement integrity andGeogrid reinforcement may be used taking account of slippage resistance and wall movement.

Keywords： mechanically stabilized earth walls     precast concrete panels     backfill soil     finite element modeling     earth reinforcement    

HTML PDF Collect

Performance of fiber reinforced clayey sand composite

Amin CHEGENIZADEH, Hamid NIKRAZ

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 147-152 doi: 10.1007/s11709-012-0158-6

Abstract: Recent researches show some interests in investigation of inclusion of randomly distributed fiber instudy is related to effective parameters on strength of the clayey sand composite with using natural fiberand plastic fiber and different fiber contents and length.The fiber percentage varied from 0% (for unreinforced samples) to 4% and fiber length varied from 8 toThe fiber length and fiber content found to play important rule on the strength of fiber reinforced composite

Keywords： triaxial     consolidated undrained (CU)     fiber     strength    

HTML PDF Collect

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 669-685 doi: 10.1007/s11709-023-0963-0

Abstract: Owing to advancement in advanced manufacturing technology, the reinforcement design of concrete structuresevolutionary structural optimization (BESO), a new approach is developed in this study to optimize the reinforcementTo demonstrate the effectiveness of the proposed procedures, reinforcement layout optimizations of a

Keywords： bi-directional evolutionary structural optimization     steel-reinforced concrete     concrete stress     reinforcement    

HTML PDF Collect

Title Author Date Type Operation

Monitoring corrosion of reinforcement in concrete structures via fiber Bragg grating sensors

Zhupeng ZHENG, Xiaoning SUN, Ying LEI

Journal Article

Distributed fiber optic monitoring of a CFA pile with a central reinforcement bar bundle

Yi RUI, Nicholas de BATTISTA, Cedric KECHAVARZI, Xiaomin XU, Mei YIN

Journal Article

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Journal Article

Fatigue shear performance of concrete beams reinforced with hybrid (glass-fiber-reinforced polymer+ steel

Journal Article

Tensile strength behavior of cement-stabilized dredged sediment reinforced by polypropylene fiber

Journal Article

Experimental investigation of evolutive mode-I and mode-II fracture behavior of fiber-reinforced cemented

Journal Article

Non linear modeling of three-dimensional reinforced and fiber concrete structures

Fatiha IGUETOULENE, Youcef BOUAFIA, Mohand Said KACHI

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article

Punching of reinforced concrete slab without shear reinforcement: Standard models and new proposal

Luisa PANI, Flavio STOCHINO

Journal Article

Spatial embedded reinforcement of 20-node block element for analysis PC bridges

LONG Peiheng, DU Xianting, CHEN Weizhen

Journal Article

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO

Journal Article

Effect of earth reinforcement, soil properties and wall properties on bridge MSE walls

Journal Article

Performance of fiber reinforced clayey sand composite

Amin CHEGENIZADEH, Hamid NIKRAZ

Journal Article

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Journal Article