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Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 419-428 doi: 10.1007/s11709-013-0224-8

Abstract: differences in mixture design, placement and consolidation techniques, the strength and durability of SelfCompacting Concrete (SCC) may be different than those of conventional concrete.Therefore, replacement of waste glass with fine aggregate in SCC should deeply be investigated comparedaim of the present study is to investigate the effect of glass replacement with fine aggregate on the SCCreduction of concrete in different glass replacement ratios is not remarkable, thus it can be produced SCC

Keywords： Self Compacting Concrete (SCC)     recycle glass     fine aggregate     fresh and hardened properties    

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An experimental study for optimization of high range water reducing superplasticizer in self compacting

Rahul DUBEY, Pardeep KUMAR

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 62-71 doi: 10.1007/s11709-013-0192-z

Abstract: With increase in technical knowhow, the need of research for high performance concretes such as self-compactingconcrete (SCC) has increased in the last decade.The adaptability of SCC is due to its fluidic behavior in fresh state.However, to develop SCC using indigenous materials, the lack of standardized mix design procedures isProportioning and optimization of these materials is a key issue in the mix design of SCC.

Keywords： self-compacting concrete (SCC)     fresh properties     superplasticizer     optimization     compressive strength    

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comparative study of the mechanical properties, fracture behavior, creep, and shrinkage of chemically based self-consolidating

Mahdi AREZOUMANDI, Mark EZZELL, Jeffery S VOLZ

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1,   Pages 36-45 doi: 10.1007/s11709-014-0243-0

Abstract: that compares the mechanical properties, fracture behavior, creep, and shrinkage of a chemically-based self-consolidatingconcrete (SCC) mix with that of a corresponding conventional concrete (CC) mix.The CC and SCC mix designs followed conventional proportioning in terms of aggregate type and contentThen, using only chemical admixtures, the authors converted the CC mix to an SCC mix with all of thenecessary passing, filling, flowability, and stability requirements typically found in SCC.

Keywords： admixture     conventional concrete (CC)     creep     fracture mechanic     mechanical Properties     self-consolidatingconcrete (SCC)     shrinkage    

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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: In this context, this paper investigates the mechanisms and methodology of self-organization and self-adaptionSubsequently, analytical target cascading is used to formulate the processes of self-organizing optimalconfiguration and self-adaptive collaborative control for multilevel key manufacturing resources whilework potentially enables managers and practitioners to implement active perception, active response, self-organization, and self-adaption solutions in discrete manufacturing enterprises.

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organizationand self-adaption     analytical target cascading     collaborative optimization    

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Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Frontiers in Energy   Pages 727-750 doi: 10.1007/s11708-023-0896-2

Abstract: A thorough analysis of triboelectric nanogenerators (TENGs) that make use of self-healable nanomaterialsTENGs, on the other hand, provide unique opportunities for future self-powered systems and might encourageExamining the many approaches used to improve nanogenerators by employing materials with shape memory and self-healableAdditionally, the cost-effectiveness, social acceptability, and regulatory implications of self-healing

Keywords： triboelectric nanogenerator (TENG)     self-healable nanomaterials     self-powered devices     energy    

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Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 116-119 doi: 10.1007/s11465-007-0020-z

Abstract: This paper proposes a novel, hermaphroditic, and lattice self-reconfigurable modular robot.

Keywords： compact     self-reconfigurable modular     hermaphroditic     cone-shaped     clutch    

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensingDynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes trueby the least means square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive circuit    

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Behaviour of self-centring shear walls——A state of the art review

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 53-77 doi: 10.1007/s11709-022-0850-0

Abstract: application of unbonded post-tensioning (PT) in structural walls has led to the development of advanced self-centringIn this research a comprehensive state-of-the-art literature review was performed on self-centring shearAn extensive study was carried out to collect a database of 100 concrete, masonry, and self-centringwalls, ductility, and seismic response factors, were critically reviewed and analysed for different self-centringThe outcome of this research can be used to better understand the behaviour of self-centring wall system

Keywords： self-centring shear walls     rocking walls     energy dissipation     seismic performance factors     PT loss     residual    

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Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 515-525 doi: 10.1007/s11709-018-0494-2

Abstract: This paper presents the effect on compressive strength and self-healing capability of bacterial concreteThe influence of this addition on compressive strength, self-healing capability of cracks is highlightedcalcium lactate in bio-concrete which is quite impressive for improving the compressive strength and self-healing

Keywords： calcium lactate     bacillus subtilis     compressive strength     self-healing of cracks    

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Computational fluid dynamic analysis of flutter characteristics for self-anchored suspension bridges

ZHU Zhiwen, WANG Zhaoxiang, CHEN Zhengqing

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 267-273 doi: 10.1007/s11709-008-0034-6

Abstract: The proposed methods are employed to identify flutter derivatives of the bridge deck of the Sanchaji Self-anchored

Keywords： discretization     computational     description     Self-anchored Suspension     simulation applicable    

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Effects of solvents and temperature on spherulites of self-assembled phloroglucinol tristearate

Yawen Yao, Sabine Rosenfeldt, Kai Zhang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3,   Pages 389-396 doi: 10.1007/s11705-019-1911-3

Abstract: solvents did not affect the formation of lamellas, the solvents played a crucial role in the formation of self-assembled

Keywords： phloroglucinol     tristearate     aprotic and protic solvent     self-assembly     spherulites    

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Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 926-936 doi: 10.1007/s11709-019-0527-5

Abstract: In this paper, an empirical model based on self-evolving neural network is proposed for predicting the

Keywords： ferrocement     moment capacity     self-evolving neural network    

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Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 1,   Pages 43-48 doi: 10.1007/s11709-008-0011-0

Abstract: To mitigate the seismic response of self-anchored suspension bridges, equations of motion governing thecorresponding computer program is developed and employed for studying the seismic response control of a self-anchored

Keywords： longitudinal displacement     corresponding computer     excitation     phenomenological     self-anchored suspension    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends themstructure predicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Therefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Title Author Date Type Operation

Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Journal Article

An experimental study for optimization of high range water reducing superplasticizer in self compacting

Rahul DUBEY, Pardeep KUMAR

Journal Article

comparative study of the mechanical properties, fracture behavior, creep, and shrinkage of chemically based self-consolidating

Mahdi AREZOUMANDI, Mark EZZELL, Jeffery S VOLZ

Journal Article

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Journal Article

Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Behaviour of self-centring shear walls——A state of the art review

Journal Article

Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Journal Article

Computational fluid dynamic analysis of flutter characteristics for self-anchored suspension bridges

ZHU Zhiwen, WANG Zhaoxiang, CHEN Zhengqing

Journal Article

Effects of solvents and temperature on spherulites of self-assembled phloroglucinol tristearate

Yawen Yao, Sabine Rosenfeldt, Kai Zhang

Journal Article

Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Journal Article

Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article