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Effect of axial load and transverse reinforcements on the seismic performance of reinforced concrete

Mounir Ait BELKACEM, Hakim BECHTOULA, Nouredine BOURAHLA, Adel Ait BELKACEM

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 831-851 doi: 10.1007/s11709-018-0513-3

Abstract: is to assess the seismic performance of reinforced concrete columns under different axial load and transversereinforcement ratios.Effects of variable axial load ratio and transverse reinforcement ratio on the seismic performance of

Keywords： reinforced concrete columns     axial load     transverse reinforcement     ductility    

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Flexural and longitudinal shear performance of precast lightweight steel–ultra-high performance concrete composite beam

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 704-721 doi: 10.1007/s11709-023-0941-6

Abstract: Moreover, a design method for transverse reinforcement is proposed; the transverse reinforcement is usedAccording to calculation results, the transverse reinforcement can be canceled when the compressive strength

Keywords： steel–UHPC composite beam     flexural performance     longitudinal shear performance     parametric study     transversereinforcement ratio    

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Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 224-227 doi: 10.1007/s11465-009-0017-x

Abstract: An algorithm is presented for detecting transverse corner cracks at a steel plate surface using waveletAccording to characteristics of transverse corner crack images, the wavelet transform is used for theThe experiment shows that transverse corner cracks of steel plates can be more effectively extracted

Keywords： transverse corner cracks     defect detection     multi-scales wavelet analysis    

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Investigating the influence of delamination on the stiffness of composite pipes under compressive transverse

Sattar MALEKI, Roham RAFIEE, Abolfazl HASANNIA, Mohammad Reza HABIBAGAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1316-1323 doi: 10.1007/s11709-019-0555-1

Abstract: The effect of delamination on the stiffness reduction of composite pipes is studied in this research. The stiffness test of filament wound composite pipes is simulated using cohesive zone method. The modeling is accomplished to study the effect of the geometrical parameters including delamination size and its position with respect to loading direction on stiffness of the composite pipes. At first, finite element results for stiffness test of a perfect pipe without delamination are validated with the experimental results according to ASTM D2412. It is seen that the finite element results agree well with experimental results. Then the finite element model is developed for composite pips with delaminated areas with different primary shapes. Thus, the effect of the size of delaminated region on longitudinal and tangential directions and also its orientation with respect to loading direction on delamination propagation and stiffness reduction of the pipes is assessed.

Keywords： delamination     composite pipes     stiffness test     cohesive zone method    

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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    

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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    

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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    

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Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based on Inverse Reinforcement

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Engineering doi: 10.1016/j.eng.2023.07.018

Abstract: , a trajectory expectation feature-matching algorithm is proposed that uses maximum entropy inverse reinforcement

Keywords： Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

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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    

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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    

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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    

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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    

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Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: Therefore, we present a novel robust reinforcement learning approach with safety guarantees to attain

Keywords： Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

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The Thought of Conception Reinforcement and Its Engineering Application

Duan Jingmin,Qian Yongjiu,Zhang Fang,Zeng Xiantao

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 22-25

Abstract:

The paper puts forward a new thought in engineering structural reinforcement—conception reinforcementIn this thonght, the basic question and basic principle of engineering structural reinforcement is deferminedThe paper describes the whole prestressing reinforcement technology, and expounds an engineering example

Keywords： engineering structure     conception reinforcement     whole prestressing reinforcement technology    

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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: Corrosion of steel and rebar in concrete structures is one of the most frequent reasons for civil infrastructure failures. Thus, improving the effective corrosion sensor technology can greatly reduce cost and provide safe structures with long service lives. However, assessing the corrosion condition of rebars is not simple because they are buried in concrete. In this paper, using fiber Bragg grating (FBG), a corrosion sensor for monitoring steel rebars embedded in a concrete structure is developed and validated by experiments. Based on the fact that the volume and diameter of a rebar embedded in concrete will enlarge due to corrosion, an FBG packaged with fiber-reinforced plastics (FRP) is wrapped on the steel bar. During corrosion, the increase in the bar diameter leads to the increase in fiber strain, which can be measured by the shift of the wavelength of FBG. Performances of the corrosion sensor are validated by accelerating corrosion in lab experiments. The corrosion sensor is embedded in a concrete specimen put in a 5% sodium chloride solution with a constant current. Experimental results show that the corrosion sensor can monitor the concurrence of corrosion of rebars in concrete. The corrosion extent can be quantitatively evaluated through the change in the wavelength of FBG. Therefore, the corrosion sensor developed in this paper is feasible for monitoring the early corrosion of rebars in concrete.

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

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Title Author Date Type Operation

Effect of axial load and transverse reinforcements on the seismic performance of reinforced concrete

Mounir Ait BELKACEM, Hakim BECHTOULA, Nouredine BOURAHLA, Adel Ait BELKACEM

Journal Article

Flexural and longitudinal shear performance of precast lightweight steel–ultra-high performance concrete composite beam

Journal Article

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Journal Article

Investigating the influence of delamination on the stiffness of composite pipes under compressive transverse

Sattar MALEKI, Roham RAFIEE, Abolfazl HASANNIA, Mohammad Reza HABIBAGAHI

Journal Article

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

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

Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based on Inverse Reinforcement

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

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

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

Journal Article

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

Journal Article

The Thought of Conception Reinforcement and Its Engineering Application

Duan Jingmin,Qian Yongjiu,Zhang Fang,Zeng Xiantao

Journal Article

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

Zhupeng ZHENG, Xiaoning SUN, Ying LEI

Journal Article