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Foundation design of large-scale and deep water caisson

Lu Qinfeng,Zhao Douhuan,Yang Jin

Strategic Study of CAE 2010, Volume 12, Issue 4,   Pages 9-13

Abstract:

Taizhou Bridge is a highway triple-tower and double-span bridge with span arrangement of 1 080 m+1 080 m, the middle tower is located in the center of Yangtze River. Several proposals are studied for the foundation type of the middle tower, especially the comparison between caisson foundation and bored pile foundation with higher pile cape. The caisson foundation is adopted because of its concise structural behavior, larger rigidity and simpler construction procedure, and it's far more economic. According to the configuration requirement of the first section and the structural force, the cross-section of the adopted rectangle caisson's dimension is 58 m×44 m with four circle chambers at corners, the total depth of the caisson is 76 m. The bottom segment of the caisson adopts concrete caisson with steel hull, and its upper segment adopts reinforced concrete structure. The structural arrangement, construction method, comparison of the project's proposal and the design feature are introduced in the paper. The design of the caisson foundation will provided good experience for the future similar projects.

Keywords： Taizhou Bridge     large-scale and deep water caisson     foundation design    

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Shanghai Tower

Jian GONG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 106-109 doi: 10.15302/J-FEM-2017001

Abstract: Ru-jiang Zhao,Wung Hee Moh. [J]. Front. Eng, 2016, 3(2): 147-157.

Keywords： super-high-rise building     green building     integral steel platform formwork system     large volume concrete     concrete pumped for super-high building     deep and large foundation pit     combined anterograde and retrograde    

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The phenomena based on the before Wenchuan Earthquake, the characteristic of large scale and deep layer

Xu Shaoxie

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 16-18

Abstract:

The characteristic of large scale and deep layer on dynamic force ofparticle movement cannot be easy released, it will make stress concentric and become a location of largeThe characteristic of lock in deep layer is not easy to find by observation at shallower earth surfaceof a great earthquake is very serious, it should be enhanced to collect and study on information of largescale and deep layer.

Keywords： Wenchuan Earthquake     the characteristic of large scale and deep layer on dynamic force of earthquake    

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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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Features of seismic hazard in large dam projects and strong motion monitoring of large dams

Martin WIELAND,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 56-64 doi: 10.1007/s11709-010-0005-6

Abstract: Earthquakes can affect large dam projects in many different ways.Finally, the need for strong motion instrumentation of large dams is discussed.It is proposed that major dams with large damage potential, dams located in areas of high seismicity,

Keywords： seismic hazard     arch dam     concrete face rockfill dam     strong motion instrumentation     reservoir-triggered seismicity     Wenchuan earthquake    

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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 predictTo verify the performance of the proposed framework, a case study of a large pipe-jacking project ineffective 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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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 69-75 doi: 10.1007/s11709-012-0146-x

Abstract: The stability of a gravity dam against sliding along deep-seated weak planes is a universal and importantThere is no recommended method for stability analysis of the dam on deep-seated weak planes under earthquakeis focused on searching a proper way to evaluate the seismic safety of the dam against sliding along deep-seatedweak planes and the probable failure modes of dam on deep-seated weak planes during earthquake.

Keywords： gravity dam     deep-seated weak planes     stability against sliding     earthquake    

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Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 450-469 doi: 10.1007/s11684-019-0726-4

Abstract: As a promising method in artificial intelligence, deep learning has been proven successful in severalWith medical imaging becoming an important part of disease screening and diagnosis, deep learning-basedDeep learning has been widely applied in medical imaging for improved image analysis.This paper reviews the major deep learning techniques in this time of rapid evolution and summarizesLastly, the application of deep learning techniques to the medical image and an analysis of their future

Keywords： deep learning     neural networks     pulmonary medical image     survey    

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Advanced finite element analysis of a complex deep excavation case history in Shanghai

Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1,   Pages 93-100 doi: 10.1007/s11709-014-0232-3

Abstract: The construction of the North Square Shopping Center of the Shanghai South Railway Station is a largescale complex top-down deep excavation project.concrete floor slabs and beams, 4) the complex construction sequences, and 5) the shape effect of the deep

Keywords： advanced finite element analysis     deep excavations     case history     small-strain stiffness    

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Theoretical and technological exploration of deep

Heping XIE, Yang JU, Shihua REN, Feng GAO, Jianzhong LIU, Yan ZHU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 603-611 doi: 10.1007/s11708-019-0643-x

Abstract: Mining industries worldwide have inevitably resorted to exploiting resources from the deep undergroundTo exploit deep resources in the future, the concept of mining must be reconsidered and innovative newThe limits of mining depth need to be broken to acquire deep-coal resources in an environmentally friendlyFirst, this paper systematically explains deep fluidized coal mining.Finally, this paper presents a strategic roadmap for deep fluidized coal mining.

Keywords： coal resource     deep in situ     fluidized mining     theoretical system     key technologies     strategic roadmap    

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Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 564-575 doi: 10.1007/s11709-022-0829-x

Abstract: This paper introduces the idea of ensemble deep learning.

Keywords： water conveyance tunnels     siltation images     remotely operated vehicles     deep learning     ensemble learning    

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Title Author Date Type Operation

Foundation design of large-scale and deep water caisson

Lu Qinfeng,Zhao Douhuan,Yang Jin

Journal Article

Shanghai Tower

Jian GONG

Journal Article

The phenomena based on the before Wenchuan Earthquake, the characteristic of large scale and deep layer

Xu Shaoxie

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Features of seismic hazard in large dam projects and strong motion monitoring of large dams

Martin WIELAND,

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

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Journal Article

Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Journal Article

Advanced finite element analysis of a complex deep excavation case history in Shanghai

Yuepeng DONG, Harvey BURD, Guy HOULSBY, Yongmao HOU

Journal Article

Theoretical and technological exploration of deep

Heping XIE, Yang JU, Shihua REN, Feng GAO, Jianzhong LIU, Yan ZHU

Journal Article

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Journal Article