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Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using softcomputing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1379-1392 doi: 10.1007/s11709-019-0562-2

Abstract: To date, very few researchers employed the Least Square Support Vector Machine (LSSVM) in predicting the resilient modulus ( ) of Unbound Granular Materials (UGMs). This paper focused on the development of a LSSVM model to predict the of recycled materials for pavement applications and comparison with other different models such as Regression, and Artificial Neural Network (ANN). Blends of Recycled Concrete Aggregate (RCA) with Recycled Clay Masonry (RCM) with proportions of 100/0, 90/10, 80/20, 70/30, 55/45, 40/60, 20/80, and 0/100 by the total aggregate mass were evaluated for use as UGMs. RCA/RCM materials were collected from dumps on the sides of roads around Mansoura city, Egypt. The investigated blends were evaluated experimentally by routine and advanced tests and the values were determined by Repeated Load Triaxial Test (RLTT). Regression, ANN, and LSSVM models were utilized and compared in predicting the of the investigated blends optimizing the best design model. Results showed that the ’s of the investigated RCA/RCM blends were generally increased with the decrease in RCM proportion. Statistical analyses were utilized for evaluating the performance of the developed models and the inputs sensitivity parameters. Eventually, the results approved that the LSSVM model can be used as a novel tool to estimate the of the investigated RCA/RCM blends.

Keywords： Least Square Support Vector Machine     Artificial Neural Network     resilient modulus     Recycled Concrete Aggregate     Recycled Clay Masonry    

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Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel construction big data

Frontiers of Structural and Civil Engineering   Pages 401-413 doi: 10.1007/s11709-022-0823-3

Abstract: Real-time dynamic adjustment of the tunnel bore machine (TBM) advance rate according to the rock-machine interaction parameters is of great significance to the adaptability of TBM and its efficiency in construction. This paper proposes a real-time predictive model of TBM advance rate using the temporal convolutional network (TCN), based on TBM construction big data. The prediction model was built using an experimental database, containing 235 data sets, established from the construction data from the Jilin Water-Diversion Tunnel Project in China. The TBM operating parameters, including total thrust, cutterhead rotation, cutterhead torque and penetration rate, are selected as the input parameters of the model. The TCN model is found outperforming the recurrent neural network (RNN) and long short-term memory (LSTM) model in predicting the TBM advance rate with much smaller values of mean absolute percentage error than the latter two. The penetration rate and cutterhead torque of the current moment have significant influence on the TBM advance rate of the next moment. On the contrary, the influence of the cutterhead rotation and total thrust is moderate. The work provides a new concept of real-time prediction of the TBM performance for highly efficient tunnel construction.

Keywords： hard rock tunnel     tunnel bore machine advance rate prediction     temporal convolutional networks     softcomputing     construction big data    

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Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems (ANFIS)

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 111-122 doi: 10.1007/s11709-016-0354-x

Abstract: To compare the performance of ANFIS with other types of soft computing techniques, multilayer perceptron

Keywords： weir-gate     soft computing     crest geometry     circular crest weir     cylindrical shape    

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Development of soft kernel durum wheat

Craig F. MORRIS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 273-278 doi: 10.15302/J-FASE-2019259

Abstract: There are three kernel texture classes in wheat: soft and hard hexaploid ( ), and very hard durum ( subspTypical SKCS values for soft wheat would be around 25 and for durum wheat≥80.Soft kernel durum wheat was created via homeologous recombination using the mutation, which facilitateddurum grain resulted in kernel texture and flour milling characteristics nearly identical to that of softAgronomically, soft durum germplasm showed good potential with moderate grain yield and resistance to

Keywords： soft durum wheat     grain hardness     puroindolines     milling     baking     pasta     noodles    

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Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration

Jun WU,Xuemei LIU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 3,   Pages 323-340 doi: 10.1007/s11709-015-0301-2

Abstract: This paper presents a combined experimental and numerical study on the damage and performance of a soft-hard-soft

Keywords： high strength concrete (SHS)     engineered cementitious composite     interface     blast test     strain rate effect    

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Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0678-2

Abstract: their inherent great flexibility, good compliance, excellent adaptability, and safe interactivity, softrobots an important position in the field of soft robots.In this paper, a soft robot with 10 soft modules, comprising three uniformly distributed endoskeletonA novel kinematic modeling method for variable-curvature soft robots based on the minimum energy methodThe prototype and modeling method can provide a new perspective for soft robot design, modeling, and

Keywords： pneumatic artificial muscles     soft robot     modeling approach     principle of virtual work     external load    

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Edge Computing Technology: Development and Countermeasures

Hong Xuehai and Wang Yang

Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 2,   Pages 20-26 doi: 10.15302/J-SSCAE-2018.02.004

Abstract:

Edge computing is an emerging technology that reduces transmission delaysand bandwidth consumption by placing computing, storage, bandwidth, applications, and other resourcesMobile terminals, Internet of things, and other devices provide the necessary front-end support for computingThis paper discusses the concept of edge computing, key problems that require solutions, main advancesin edge computing, influence of edge computing developments, and opportunities and development countermeasures

Keywords： cloud computing     edge computing     fog computing     mobile edge computing     internet of things     front-end    

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Risk stratification system for skin and soft tissue infections after allogeneic hematopoietic stem cell

Frontiers of Medicine   Pages 957-968 doi: 10.1007/s11684-021-0910-1

Abstract: Skin and soft tissue infections (SSTIs) refer to infections involving the skin, subcutaneous tissue,

Keywords： skin and soft tissue infections     hematopoietic stem cell transplantation     risk stratification system    

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Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1372-1389 doi: 10.1007/s11709-021-0772-2

Abstract: image correlation were used to study the spatiotemporal evolution characteristics of crack extension of softHard layers predominantly produce tensile cracks; soft layers produce shear cracks.

Keywords： soft−hard composite layered rock mass     double cracks     crack evolution     acoustic emission     digital image    

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High End Computing in China and the Exploration of “Sunway” Computers

Chen Zuoning

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 9,   Pages 23-28

Abstract:

In the beginning of the 21st century, driven by application requirements, the research and development of HEC are getting a new upsurge both in China and abroad. This paper analyses the development status and trends of international HEC, describes the overall development and application status of HEC in China, introduces the major technical features and application achievements of Sunway series high-performance computers; discusses the problems faced by today's HEC technologies, and finally makes some suggestions on how to extend progress in the HEC industry in China.

Keywords： high-end computing     grid computing     high performance service     high productivity computing     total cost of    

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Modular crawling robots using soft pneumatic actuators

Nianfeng WANG, Bicheng CHEN, Xiandong GE, Xianmin ZHANG, Wenbin WANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 163-175 doi: 10.1007/s11465-020-0605-3

Abstract: In this work, several crawling robots are developed using two types of soft pneumatic actuators (SPAs

Keywords： soft robot     soft pneumatic actuator     kinematic model     crawling robot     modular design    

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Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2,   Pages 187-193 doi: 10.1007/s11709-014-0252-z

Abstract: boundary by using ANSYS and analyzed seismic responses of subway station with different distribution of softThe nonlinear dynamic properties of soft soils are modeled by the KINH.and internal force on subway station in the general field soil and five different distributions of softProvide reference for improving the seismic performance of subway stations in Tianjin soft soil.

Keywords： distribution of soft soil     soft soil in Tianjin     seismic response     ANSYS    

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A multiscale material model for heterogeneous liquid droplets in solid soft composites

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1292-1299 doi: 10.1007/s11709-021-0771-3

Abstract: Liquid droplets in solid soft composites have been attracting increasing attention in biological applicationsThis research revisits the available models for liquid droplets in solid soft composites and presentsand show that the model can precisely predict the effective properties of liquid droplets in solid soft

Keywords： liquid in solid     soft composite     computational modeling     multiscale model     heterogeneity    

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Numerical investigation of the ultimate lateral resistance of piles in soft clay

Konstantinos P. TZIVAKOS,Michael J. KAVVADAS

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2,   Pages 194-200 doi: 10.1007/s11709-014-0251-0

Abstract: numerical study on the undrained lateral response of a single, free-head, reinforced concrete pile in softcurves proposed in literature for soft clays are imported into a beam-on-nonlinear-Winkler-foundation

Keywords： laterally loaded     pile     soft clay     p?y curves     finite element method (FEM)    

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Real-time task processing method based on edge computing for spinning CPS

Shiyong YIN, Jinsong BAO, Jie LI, Jie ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3,   Pages 320-331 doi: 10.1007/s11465-019-0542-1

Abstract: This paper presents an edge computing-based method that is different from traditional centralized cloudEdge computing nodes, real-time tasks, and edge computing resources are defined.A system model is established, and a real-time task processing method is proposed for the edge computingExperimental results indicate that the proposed real-time task processing method based on edge computing

Keywords： edge computing     real-time task     scheduling     CPS     spinning    

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Title Author Date Type Operation

Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using softcomputing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Journal Article

Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel construction big data

Journal Article

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems (ANFIS)

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Journal Article

Development of soft kernel durum wheat

Craig F. MORRIS

Journal Article

Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration

Jun WU,Xuemei LIU

Journal Article

Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles

Journal Article

Edge Computing Technology: Development and Countermeasures

Hong Xuehai and Wang Yang

Journal Article

Risk stratification system for skin and soft tissue infections after allogeneic hematopoietic stem cell

Journal Article

Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression

Journal Article

High End Computing in China and the Exploration of “Sunway” Computers

Chen Zuoning

Journal Article

Modular crawling robots using soft pneumatic actuators

Nianfeng WANG, Bicheng CHEN, Xiandong GE, Xianmin ZHANG, Wenbin WANG

Journal Article

Seismic responses of subway station with different distributions of soft soil in Tianjin

Dejian YANG,Meiling DUAN

Journal Article

A multiscale material model for heterogeneous liquid droplets in solid soft composites

Journal Article

Numerical investigation of the ultimate lateral resistance of piles in soft clay

Konstantinos P. TZIVAKOS,Michael J. KAVVADAS

Journal Article

Real-time task processing method based on edge computing for spinning CPS

Shiyong YIN, Jinsong BAO, Jie LI, Jie ZHANG

Journal Article