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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 reinforcementThis approach combines a minimum compliance objective function with a hybrid truss-continuum model.To demonstrate the effectiveness of the proposed procedures, reinforcement layout optimizations of a

Keywords： bi-directional evolutionary structural optimization     steel-reinforced concrete     concrete stress     reinforcementmethod     hybrid model    

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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: Therefore, beams with hybrid longitudinal bars and hybrid stirrups were designed, and fatigue shear tests

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

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Innovative hybrid reinforcement constituting conventional longitudinal steel and FRP stirrups for improved

Mostafa FAKHARIFAR,Ahmad DALVAND,Mohammad K. SHARBATDAR,Genda CHEN,Lesley SNEED

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 44-62 doi: 10.1007/s11709-015-0295-9

Abstract: The current research has proposed a novel economical hybrid reinforcement scheme for the next generationThe hybrid reinforcement consists of conventional longitudinal steel reinforcement and FRP stirrups.The key feature of the proposed hybrid reinforcement is the enhanced strength and ductility owing toThe proposed hybrid reinforcement, when compared with conventional steel stirrups, is found to have higherDesign methods, structural behavior, and applicability of the proposed hybrid reinforcement are discussed

Keywords： FRP     ductility     confinement     seismic     shear    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: beam's geometrical components and material used to achieve the desired shear strength of SB without reinforcement

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Hybrid flexural components: Testing pre-stressed steel and GFRP bars together as reinforcement for flexural

Mohammed FARUQI, Oved I. MATA, Francisco AGUINIGA

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 352-360 doi: 10.1007/s11709-017-0453-3

Abstract: However, the flexure behavior of a hybrid system reinforced by the combination of pre-stressed steelThe theoretical slabs were either reinforced with pre-stressed steel or GFRP rebars, or a hybrid systemIt was found that the hybrid system produces better results.

Keywords： Partial pre-stressing     composite structures     GFRP bars    

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Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning Research Article

Huiqian LI, Jin HUANG, Zhong CAO, Diange YANG, Zhihua ZHONG,lihq20@mails.tsinghua.edu.cn,huangjin@tsinghua.edu.cn,caoc15@mails.tsinghua.edu.cn,ydg@tsinghua.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 131-140 doi: 10.1631/FITEE.2200128

Abstract: The method integrates the rule-based strategy and reinforcement learning strategy.

Keywords： Pedestrian     Hybrid reinforcement learning     Autonomous vehicles     Decision-making    

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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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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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Title Author Date Type Operation

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

Journal Article

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

Journal Article

Innovative hybrid reinforcement constituting conventional longitudinal steel and FRP stirrups for improved

Mostafa FAKHARIFAR,Ahmad DALVAND,Mohammad K. SHARBATDAR,Genda CHEN,Lesley SNEED

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Journal Article

Hybrid flexural components: Testing pre-stressed steel and GFRP bars together as reinforcement for flexural

Mohammed FARUQI, Oved I. MATA, Francisco AGUINIGA

Journal Article

Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning

Huiqian LI, Jin HUANG, Zhong CAO, Diange YANG, Zhihua ZHONG,lihq20@mails.tsinghua.edu.cn,huangjin@tsinghua.edu.cn,caoc15@mails.tsinghua.edu.cn,ydg@tsinghua.edu.cn

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

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