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Seismic effects on reinforcement load and lateral deformation of geosynthetic-reinforced soil walls

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1001-1015 doi: 10.1007/s11709-021-0734-8

Abstract: Current design methods for the internal stability of geosynthetic-reinforced soil (GRS) walls postulateMost seismic analyses are limited to the determination of maximum reinforcement strength.This study aimed to calculate the distribution of the reinforcement load and connection strength requiredFor sufficient pullout resistance to be provided by each reinforcement, the maximum required tensile, and secondary reinforcement are conducted to investigate seismic impacts on the stability and lateral

Keywords： geosynthetics     reinforced soil     retaining walls     seismic performance    

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Three-dimensional numerical modeling of single geocell-reinforced sand

Xiaoming YANG, Jie HAN, Robert L. PARSONS, Dov LESHCHINSKY,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 233-240 doi: 10.1007/s11709-010-0020-7

Abstract: This paper summarizes the development of a three-dimensional numerical model for analyzing single geocell-reinforced soil. In this model, the infill soil was modeled using the Duncan-Chang model, which can simulate non-linearity and stress-dependency of soil. Geocell was modeled using linearly elastic plate elements, which can carry both bending and membrane stresses. A linear interface stress-strain relationship with a Mohr-Coulomb yield criterion was adopted to model the interface friction between the geocell wall and the soil. By modeling the geocell and the soil separately, the interaction between the soil and the geocell can be accurately simulated. To verify this model, a plate load test was conducted in the laboratory, in which a 12-cm-thick sand layer reinforced by a single geocell was subjected to a vertical load from a circular steel plate. The load-displacement curves and the horizontal tensile strain of the geocell were recorded during the test. A numerical model was created according to the setup of the load test. The numerical results compared reasonably well with the test data.

Keywords： geosynthetic reinforcement     geocell     numerical model     FLAC3D    

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Recent advances in geosynthetic-reinforced retaining walls for highway applications

Jie HAN, Yan JIANG, Chao XU

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2,   Pages 239-247 doi: 10.1007/s11709-017-0424-8

Abstract: Geosynthetic-reinforced retaining (GRR) walls have been increasingly used to support roadways and bridgeGeosynthetic layers at closer spacing are used in GRR walls to form a composite mass to support an integratedThis system is referred to as a geosynthetic-reinforced soil (GRS)-integrated bridge systems (IBS) orIn addition, short geosynthetic layers have been used as secondary reinforcement in a GRR wall to forma hybrid GRR wall (HGRR wall) and reduce tension in primary reinforcement and facing deflections.

Keywords： bridge     geosynthetic     highway     reinforced     wall    

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Field testing of geosynthetic-reinforced and column-supported earth platforms constructed on soft soil

Qiangong CHENG,Jiujiang WU,Dongxue ZHANG,Fengping MA

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2,   Pages 124-139 doi: 10.1007/s11709-014-0255-9

Abstract: This paper is focused on the behavior of geosynthetic-reinforced and column-supported (GRCS) earth platforms

Keywords： geosynthetic-reinforced and column-supported (GRCS) earth platforms     soft soil     bearing behavior     settlement    

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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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Geosynthetics used to stabilize vegetated surfaces for environmental sustainability in civil engineering

Jie HAN,Jun GUO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 56-65 doi: 10.1007/s11709-016-0380-8

Abstract: Recently, geosynthetic or geosynthetic-like material has been used to form green walls outside or insideThis paper provides a review of the current practice and research in the geosynthetic stabilization ofearth and building surfaces for environmental sustainability in civil engineering with the emphases on geosyntheticused for erosion protection, geosynthetic-stabilized slopes, geosynthetic-stabilized unpaved shouldersand parking lots, and geosynthetic-stabilized vegetated building surfaces.

Keywords： erosion     geosynthetic     stabilization     sustainability     vegetation    

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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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Title Author Date Type Operation

Seismic effects on reinforcement load and lateral deformation of geosynthetic-reinforced soil walls

Journal Article

Three-dimensional numerical modeling of single geocell-reinforced sand

Xiaoming YANG, Jie HAN, Robert L. PARSONS, Dov LESHCHINSKY,

Journal Article

Recent advances in geosynthetic-reinforced retaining walls for highway applications

Jie HAN, Yan JIANG, Chao XU

Journal Article

Field testing of geosynthetic-reinforced and column-supported earth platforms constructed on soft soil

Qiangong CHENG,Jiujiang WU,Dongxue ZHANG,Fengping MA

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

Geosynthetics used to stabilize vegetated surfaces for environmental sustainability in civil engineering

Jie HAN,Jun 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