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Assessment of an alternative to deep foundations in compressible clays: the structural cell foundation

Sergio A. MARTÍNEZ-GALVÁN, Miguel P. ROMO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 67-80 doi: 10.1007/s11709-017-0399-5

Abstract: The new type of deep foundation for buildings on saturated, compressible-low strength clayey soil depositsThis type of foundation seems to be a highly competitive alternative to the friction pile-box foundationsConsidering these facts and others regarding scheduling, it was decided to replace 48-friction pile-box foundationsThe overall behavior of these cell foundations over a five-year period is fared from close visual observations

Keywords： deep foundations     bearing capacity     resistant moment     structural cell     3D numerical modeling    

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 318-332 doi: 10.1007/s11709-021-0715-y

Abstract: aim of this study is to propose a new detection method for determining the damage locations in pile foundationsbased on deep learning using acoustic emission data.First, the damage location is simulated using a back propagation neural network deep learning model withFinally, a new damage detection and evaluation method for pile foundations is proposed.This new method is capable of continuously detecting and evaluating the damage of pile foundations in

Keywords： pile foundations     damage location     acoustic emission     deep learning     damage step    

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Influence of site conditions on seismic design parameters for foundations as determined via nonlinear

Muhammad Tariq A. CHAUDHARY

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 275-303 doi: 10.1007/s11709-021-0685-0

Abstract: The geotechnical parameters required for the design of foundations include mass density ( ), dampingThe need to incorporate and in the metrics for determining , , and for the seismic design of foundations

Keywords： site effects     1D seismic site response analysis     sensitivity analysis     foundations     shear wave velocity     soil    

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Model testing of tripod caisson foundations in silty clay subjected to eccentric lateral loads

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 467-476 doi: 10.1007/s11709-023-0933-6

Abstract: In this study, model tests were conducted to investigate the bearing capacities of tripod caisson foundationsLateral load–rotation curves of five eccentric-shaped tripod suction foundations were plotted to analyzeIt was observed that the loading angle significantly influenced the bearing capacity of the foundations, particularly for eccentric tripod caisson foundations.Compared with eccentric tripod caisson foundations, the traditional tripod foundation has a relatively

Keywords： tripod caisson foundation     silty clay     eccentric lateral capacity     model tests    

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Investigation of the seismic behavior of grouted sandy gravel foundations using shaking table tests

Tiancheng WANG; Yu LIANG; Xiaoyong ZHANG; Zhihuan RUAN; Guoxiong MEI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1196-1211 doi: 10.1007/s11709-022-0865-6

Abstract: Sandy gravel foundations exhibit non-linear dynamic behavior when subjected to strong ground motions,Grouting methods can be used to improve the seismic performance of natural sandy gravel foundations.The strength and stiffness of grouted sandy gravel foundations are different from those of natural foundationsFew studies have investigated the seismic behavior of sandy gravel foundations before and after groutingAdditionally, the dynamic stress-strain relationships of the two foundations were obtained by a linear

Keywords： sandy gravel foundation     grouting-treated reinforcement     shaking table test     seismic behavior    

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Innovative piled raft foundations design using artificial neural network

Meisam RABIEI, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 138-146 doi: 10.1007/s11709-019-0585-8

Abstract: Several studies have been conducted to understand the behavior of these types of foundations, which are

Keywords： innovative design     piled raft foundation     neural network     optimization    

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Design and construction of Sutong Bridge deep-water main pylon foundations

Ren Huixing,Ouyang Xiaoyong,He Maosheng,Yang Hong,Sun Keqiang

Strategic Study of CAE 2009, Volume 11, Issue 3,   Pages 38-43

Abstract: , foundation design and construction, introduces some considerations in the designing of main-pylon foundationsand some practical measures to deal with certain unfavorable construction conditions, such as deep water, tidal effect, soft stratum and heavy traffic, during the construction of main-pylon foundations.

Keywords： Sutong Bridge     group-pile foundation     steel cofferdam     scour protection    

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Linear and nonlinear elastic analysis of closely spaced strip foundations using Pasternak model

Priyanka GHOSH, S. RAJESH, J. SAI CHAND

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 228-243 doi: 10.1007/s11709-016-0370-x

Abstract: In this study, an attempt is made to determine the interaction effect of two closely spaced strip footings using Pasternak model. The study considers small strain problem and has been performed using linear as well as nonlinear elastic analysis to determine the interaction effect of two nearby strip footings. The hyperbolic stress-strain relationship has been considered for the nonlinear elastic analysis. The linear elastic analysis has been carried out by deriving the equations for the interference effect of the footings in the framework of Pasternak model equation; whereas, the nonlinear elastic analysis has been performed using the finite difference method to solve the second order nonlinear differential equation evolved from Pasternak model with proper boundary conditions. Results obtained from the linear and the nonlinear elastic analysis are presented in terms of non-dimensional interaction factors by varying different parameters like width of the foundation, load on the foundation and the depth of the rigid base. Results are suitably compared with the existing values in the literature.

Keywords： bearing capacity     linear and non-linear elasticity     foundation     interaction effect     numerical modeling     Pasternak model    

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Foundations bearing capacity subjected to seepage by the kinematic approach of the limit analysis

Mehdi VEISKARAMI, Ghasem HABIBAGAHI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 446-455 doi: 10.1007/s11709-013-0227-5

Abstract: An estimate of the ultimate load on foundations on soil layers subject to groundwater flow has been presentedBoth smooth and rough base strip foundations were considered associated with different collapse patterns

Keywords： foundation     bearing capacity     limit analysis     numerical computation     plasticity     seepage    

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Analysis of foundation sliding of an arch dam considering the hydromechanical behavior

Maria Luísa Braga FARINHA, José Vieira de LEMOS, Emanuel MARANHA DAS NEVES

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 35-43 doi: 10.1007/s11709-012-0142-1

Abstract: This paper presents the application of a methodology which can be used to assess arch dam foundation stability, using the discrete element method (DEM) and the code 3DEC. A global three-dimensional model of a dam foundation was developed, in which some discontinuities were simulated and both the grout and drainage curtains were represented. The model, calibrated taking into account recorded data, was used to carry out nonlinear mechanical analysis. The same model was employed to perform a hydraulic analysis, based on equivalent continuum concepts, which allowed the water pressure pattern within the foundation to be obtained. These water pressures were applied on discontinuities involved in the possible sliding mechanism along the dam/foundation interface, and the safety of the dam/foundation system was evaluated using a process of reduction of strength characteristics, with the aim of calculating the minimum safety factors that ensure stability. Results were compared with those obtained with the usual bi-linear uplift pressure distribution at the base of the dam, commonly used in concrete dam design. The relevance of carrying out hydraulic analysis in arch dam foundation failure studies is highlighted.

Keywords： concrete dams     rock foundations     hydromechanical behavior     failure analysis    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learning

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Development and deep-sea exploration of the Haidou-1

Frontiers of Engineering Management   Pages 546-549 doi: 10.1007/s42524-023-0260-6

Abstract: Development and deep-sea exploration of the Haidou-1

Keywords： hadal zone     autonomous and remotely-operated vehicle     integrated exploration operation     deep dive exceeding    

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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: Hence, a gated recurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predicteffective decision support for moving trajectory control and serve as a foundation for the application of deep

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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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 controllingSecond, a new structure of DRL is designed by combining deep deterministic policy gradient and long short-termACNN is also compared with other published machine learning (ML) and deep learning (DL) methods.

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

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: In this paper we propose a novel method to estimate head pose based on a deep convolutional neural network

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

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Title Author Date Type Operation

Assessment of an alternative to deep foundations in compressible clays: the structural cell foundation

Sergio A. MARTÍNEZ-GALVÁN, Miguel P. ROMO

Journal Article

Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Journal Article

Influence of site conditions on seismic design parameters for foundations as determined via nonlinear

Muhammad Tariq A. CHAUDHARY

Journal Article

Model testing of tripod caisson foundations in silty clay subjected to eccentric lateral loads

Journal Article

Investigation of the seismic behavior of grouted sandy gravel foundations using shaking table tests

Tiancheng WANG; Yu LIANG; Xiaoyong ZHANG; Zhihuan RUAN; Guoxiong MEI

Journal Article

Innovative piled raft foundations design using artificial neural network

Meisam RABIEI, Asskar Janalizadeh CHOOBBASTI

Journal Article

Design and construction of Sutong Bridge deep-water main pylon foundations

Ren Huixing,Ouyang Xiaoyong,He Maosheng,Yang Hong,Sun Keqiang

Journal Article

Linear and nonlinear elastic analysis of closely spaced strip foundations using Pasternak model

Priyanka GHOSH, S. RAJESH, J. SAI CHAND

Journal Article

Foundations bearing capacity subjected to seepage by the kinematic approach of the limit analysis

Mehdi VEISKARAMI, Ghasem HABIBAGAHI

Journal Article

Analysis of foundation sliding of an arch dam considering the hydromechanical behavior

Maria Luísa Braga FARINHA, José Vieira de LEMOS, Emanuel MARANHA DAS NEVES

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Development and deep-sea exploration of the Haidou-1

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article

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

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article