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Mantu MAJUMDER, Debarghya CHAKRABORTY
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 537-551 doi: 10.1007/s11709-021-0708-x
Keywords: bearing capacity uplift capacity under-reamed pile clay limit analysis
Xie Yuhong
Strategic Study of CAE 2011, Volume 13, Issue 5, Pages 16-22
Keywords: Wenchang L low-resistivity light oil field finding process reservoir characteristics pool-forming pattern Qionghaiuplift
Numerical analysis on uplift bearing characteristic of cast in situ DX pile
Chen Lihong,Zhang Qinglin,Yuan Xiyu
Strategic Study of CAE 2012, Volume 14, Issue 1, Pages 31-36
Keywords: DX pile uplift bearing capacity numerical analysis
The characteristics of Paleozoic marine hydrocarbon accumulation in China
Kang Yuzhu
Strategic Study of CAE 2010, Volume 12, Issue 5, Pages 11-17
Keywords: Paleozoic era marine hydrocarbon field basin uplift depression hydrocarbon distribution
Construction characteristics and effects of DX pile
Tang Songtao,Chen Lihong,Peng Wen
Strategic Study of CAE 2012, Volume 14, Issue 1, Pages 37-40
Keywords: DX pile bearing capacity settlement uplift
From Brain Science to Artificial Intelligence Review
Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai
Engineering 2020, Volume 6, Issue 3, Pages 248-252 doi: 10.1016/j.eng.2019.11.012
Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expectations, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI research, including a link from brain science to AI, and a connection from knowing the brain to simulating the brain. The first steps toward this goal are to explore the secrets of brain science by studying new brain-imaging technology; to establish a dynamic connection diagram of the brain; and to integrate neuroscience experiments with theory, models, and statistics. Based on these steps, a new generation of AI theory and methods can be studied, and a subversive model and working mode from machine perception and learning to machine thinking and decision-making can be established. This article discusses the opportunities and challenges of adapting brain science to AI.
Keywords: Artificial intelligence Brain science
Technological development and engineering applications of novel steel-concrete composite structures
Jianguo NIE, Jiaji WANG, Shuangke GOU, Yaoyu ZHU, Jiansheng FAN
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 1-14 doi: 10.1007/s11709-019-0514-x
Keywords: high-performance composite structure bi-directional composite composite transfer uplift-restricted and
An Enhanced Physically Based Scour Model for Considering Jet Air Entrainment
Rafael Duarte,António Pinheiro,Anton J. Schleiss
Engineering 2016, Volume 2, Issue 3, Pages 294-301 doi: 10.1016/J.ENG.2016.03.003
Based on systematic experiments on the influence of air entrainment on rock block stability in plunge pools impacted by high-velocity jets, this study presents adaptations of a physically based scour model. The modifications regarding jet aeration are implemented in the Comprehensive Scour Model (CSM), allowing it to reproduce the physical-mechanical processes involved in scour formation concerning the three phases; namely, water, rock, and air. The enhanced method considers the reduction of momentum of an aerated jet as well as the decrease of energy dissipation in the jet diffusive shear layer, both resulting from the entrainment of air bubbles. Block ejection from the rock mass depends on a combination of the aerated time-averaged pressure coefficient and the modified maximum dynamic impulsion coefficient, which was found to be a constant value of 0.2 for high-velocity jets in deep pools. The modified model is applied to the case of the observed scour hole at the Kariba Dam, with good agreement.
Keywords: Air entrainment Uplift Rock scour Dam safety High-velocity jets Block stability Scour assessment
Discussion on formula for anti pull bearing capacity of DX pile
Yuan Xiyu,He Dexin,Chen Lihong
Strategic Study of CAE 2012, Volume 14, Issue 1, Pages 69-73
When the DX-pile is under uplift load, the pile-soil interaction consistsof pile shaft resistance and uplift resistance provided by the bells which effectively raises the uplift-pilethe problem of calculating the resistance of bell is still under studied which is the key to DX-pile uplift
Keywords: DX-pile uplift capacity resistance of load carrying plate calculation methods
Engram-Driven Videography Article
Fang, Mengqi Ji, Xiaoyun Yuan, Jing He, Jianing Zhang, Yinheng Zhu, Tian Zheng, Leyao Liu, Bin Wang, Qionghai
Engineering 2023, Volume 25, Issue 6, Pages 101-109 doi: 10.1016/j.eng.2021.12.012
Sensing and understanding large-scale dynamic scenes require a high-performance imaging system. Conventional imaging systems pursue higher capability by simply increasing the pixel resolution via stitching cameras at the expense of a bulky system. Moreover, they strictly follow the feedforward pathway: that is, their pixel-level sensing is independent of semantic understanding. Differently, a human visual system owns superiority with both feedforward and feedback pathways: The feedforward pathway extracts object representation (referred to as memory engram) from visual inputs, while, in the feedback pathway, the associated engram is reactivated to generate hypotheses about an object. Inspired by this, we propose a dual-pathway imaging mechanism, called engram-driven videography. We start by abstracting the holistic representation of the scene, which is associated bidirectionally with local details, driven by an instance-level engram. Technically, the entire system works by alternating between the excitation–inhibition and association states. In the former state, pixel-level details become dynamically consolidated or inhibited to strengthen the instance-level engram. In the association state, the spatially and temporally consistent content becomes synthesized driven by its engram for outstanding videography quality of future scenes. The association state serves as the imaging of future scenes by synthesizing spatially and temporally consistent content driven by its engram. Results of extensive simulations and experiments demonstrate that the proposed system revolutionizes the conventional videography paradigm and shows great potential for videography of large-scale scenes with multi-objects.
Keywords: Instance-level videography Memory engram Large-scale dynamic scene Feedforward and feedback Entropy equilibrium
Construction technology in huge caisson on the ground
Qiu Qionghai,Lin Fan,Jiang Jianghua
Strategic Study of CAE 2010, Volume 12, Issue 4, Pages 14-20
Taizhou Changjiang River Highway Bridge is a suspension bridge with three towers, two spans and two anchorages. The main span is 2×1 080 m. The south and north foundation of the anchorages are deep water caisson with rectangular plane size 67.9 m×52.0 m. A great many of technical innovations are adopted to solve many technical problems including the disposal of the compound basement, manufacturing and installation of the caisson, fulfillment of concrete in the caisson etc, based on the conditions such as the thick overburden layer at the top of the caisson, the super dimension and the big sinking depth of the caisson. This article gives a brief introduction on construction technologies in huge caisson on the ground and can be taken as a reference during the construction of the super scale caisson on the ground in the future.
Keywords: suspension bridge anchorage caisson assembly deep-well dewatering foundation settlement air suction bridge construction
Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO
Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1, Pages 129-140 doi: 10.1007/s11783-014-0683-8
Keywords: linear programming decision making objective-constraint uncertainty tradeoff aspiration level Lake Qionghai
Analog Optical Computing for Artificial Intelligence Review
Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,
Engineering 2022, Volume 10, Issue 3, Pages 133-145 doi: 10.1016/j.eng.2021.06.021
The rapid development of artificial intelligence (AI) facilitates various applications from all areas but also poses great challenges in its hardware implementation in terms of speed and energy because of the explosive growth of data. Optical computing provides a distinctive perspective to address this bottleneck by harnessing the unique properties of photons including broad bandwidth, low latency, and high energy efficiency. In this review, we introduce the latest developments of optical computing for different AI models, including feedforward neural networks, reservoir computing, and spiking neural networks (SNNs). Recent progress in integrated photonic devices, combined with the rise of AI, provides a great opportunity for the renaissance of optical computing in practical applications. This effort requires multidisciplinary efforts from a broad community. This review provides an overview of the state-of-the-art accomplishments in recent years, discusses the availability of current technologies, and points out various remaining challenges in different aspects to push the frontier. We anticipate that the era of large-scale integrated photonics processors will soon arrive for practical AI applications in the form of hybrid optoelectronic frameworks.
Keywords: Artificial intelligence Optical computing Opto-electronic framework Neural network Neuromorphic computing Reservoir computing Photonics processor
Title Author Date Type Operation
Bearing and uplift capacities of under-reamed piles in soft clay underlaid by stiff clay using lower-bound
Mantu MAJUMDER, Debarghya CHAKRABORTY
Journal Article
The new finding of Neogene marine low-resistivity light oil field in the western part of Pearl River Mouth Basin
Xie Yuhong
Journal Article
Numerical analysis on uplift bearing characteristic of cast in situ DX pile
Chen Lihong,Zhang Qinglin,Yuan Xiyu
Journal Article
The characteristics of Paleozoic marine hydrocarbon accumulation in China
Kang Yuzhu
Journal Article
Construction characteristics and effects of DX pile
Tang Songtao,Chen Lihong,Peng Wen
Journal Article
From Brain Science to Artificial Intelligence
Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai
Journal Article
Technological development and engineering applications of novel steel-concrete composite structures
Jianguo NIE, Jiaji WANG, Shuangke GOU, Yaoyu ZHU, Jiansheng FAN
Journal Article
An Enhanced Physically Based Scour Model for Considering Jet Air Entrainment
Rafael Duarte,António Pinheiro,Anton J. Schleiss
Journal Article
Discussion on formula for anti pull bearing capacity of DX pile
Yuan Xiyu,He Dexin,Chen Lihong
Journal Article
Engram-Driven Videography
Fang, Mengqi Ji, Xiaoyun Yuan, Jing He, Jianing Zhang, Yinheng Zhu, Tian Zheng, Leyao Liu, Bin Wang, Qionghai
Journal Article
Construction technology in huge caisson on the ground
Qiu Qionghai,Lin Fan,Jiang Jianghua
Journal Article
A refined risk explicit interval linear programming approach for optimal watershed load reduction with objective-constraint uncertainty tradeoff analysis
Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO
Journal Article