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An improved design method to predict the E-modulus and strength of FRP composites at different temperatures

Mohammed FARUQI, Gobishanker RAJASKANTHAN, Breanna BAILEY, Francisco AGUINIGA

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1653-1653 doi: 10.1007/s11709-019-0578-7

Abstract: However, the E-modulus and strength of such members at high service temperatures is still unknown.Modulus and strength of FRP at high service temperatures are highly required parameters for full designThus, this paper proposes design methods for calculating the E-modulus and strength of FRP members atIt was found that the proposed design methods conservatively estimate the E-modulus and strength of FRP

Keywords： concrete     fiber reinforced polymer     E-modulus     strength     temperatures    

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An improved design method to predict the E-modulus and strength of FRP composites at different temperatures

Mohammed FARUQI, Gobishanker RAJASKANTHAN, Breanna BAILEY, Francisco AGUINIGA

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1654-1654 doi: 10.1007/s11709-020-0622-7

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Advanced cement based nanocomposites reinforced with MWCNTs and CNFs

Emmanuel E. GDOUTOS,Maria S. KONSTA-GDOUTOS,Panagiotis A. DANOGLIDIS,Surendra P. SHAH

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 2,   Pages 142-149 doi: 10.1007/s11709-016-0342-1

Abstract: Mechanical and fracture properties including flexural strength, Young’s modulus, flexural and fracturesuperior properties demonstrated by a significant improvement in flexural strength (106%), Young’s modulus

Keywords： multi-walled carbon nanotubes     carbon nanofibers     mortars     toughness     Young’s modulus    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: Modulus of Elasticity (MOE) is a key parameter in reinforced concrete design.

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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Elastic modulus and thermal stress in coating during heat cycling with different substrate shapes

Daniel GAONA,Alfredo VALAREZO

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 294-300 doi: 10.1007/s11465-015-0351-0

Abstract:

The elastic modulus of a deposit (Ed) can be obtained by monitoring the temperatureT slope error is less than 8%, and the Ed estimation error isThe Ed values are approximately equal for 1D and 2D analyses, with a medianregardless of specimen geometry through FE modeling and by using the experimental value of E<

Keywords： in-plane     Young’s modulus     curvature temperature     thermal stress     coating    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: used in civil engineering to measure and evaluate the physical properties of pavements, such as the modulusof the subgrade reaction (Y1) and the elastic modulus of the slab (Y2), which are crucial for assessingIn this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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Simulation of viscoelastic behavior of defected rock by using numerical manifold method

Feng REN, Lifeng FAN, Guowei MA

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 199-207 doi: 10.1007/s11709-011-0102-1

Abstract: Numerical simulations of longitudinal wave propagation in a rock bar with microcracks are conducted by using the numerical manifold method which has great advantages in the simulation of discontinuities. Firstly, validation of the numerical manifold method is carried out by simulations of a longitudinal stress wave propagating through intact and cracked rock bars. The behavior of the stress wave traveling in a one-dimensional rock bar with randomly distributed microcracks is subsequently studied. It is revealed that the highly defected rock bar has significant viscoelasticity to the stress wave propagation. Wave attenuation as well as time delay is affected by the length, quantity, specific stiffness of the distributed microcracks as well as the incident stress wave frequency. The storage and loss moduli of the defected rock are also affected by the microcrack properties; however, they are independent of incident stress wave frequency.

Keywords： stress wave propagation     defected rock     numerical manifold method     viscoelastic behavior     storage modulus     loss modulus    

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

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: few researchers employed the Least Square Support Vector Machine (LSSVM) in predicting the resilient modulus

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

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Assessing artificial neural network performance for predicting interlayer conditions and layer modulus

Lingyun YOU, Kezhen YAN, Nengyuan LIU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 487-500 doi: 10.1007/s11709-020-0609-4

Abstract: performance of the artificial neural network (ANN) approach for predicting interlayer conditions and layer modulustwo ANN based back-calculation models were proposed to predict the interlayer conditions and layer modulusthat the proposed back-calculation model developed with ANN could be used to accurately predict layer modulus

Keywords： asphalt pavement     interlayer conditions     finite element method     artificial neural network     back-calculation    

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Sustainability of metal recovery from E-waste

Biswajit Debnath, Ranjana Chowdhury, Sadhan Kumar Ghosh

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 6, doi: 10.1007/s11783-018-1044-9

Abstract:

Metal recovery techniques from electronic waste reported in literature.

Metal recovery processes followed in Industries from electronic waste.

Sustainability analysis of metal recovery processes from electronic waste.

Keywords： E-waste     Metal recovery     Metal Recovery from E-waste (MREW)     Sustainability    

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The stress relaxation of cement clinkers under high temperature

Xiufang WANG,Yiwang BAO,Xiaogen LIU,Yan QIU

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 413-417 doi: 10.1007/s11465-015-0357-7

Abstract: The effects of high temperature on the load-displacement curve, compressive strength, and elastic modulusThe elastic modulus and compressive strength of cement clinkers increase with a decrease in temperatureThe elastic modulus increases greatly when the temperature is lower than 1000 °C.

Keywords： stress relaxation     high temperature     cement clinker     compression     elastic modulus    

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risks of heavy metals, polybrominated diphenyl ethers, and polychlorinated dibenzo-dioxins/furans at e-waste

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1679-z

Abstract:

● Heavy metals and organic toxins may persist in legacy sites for a long time.

Keywords： E-waste     Human health risk     Organ risk     Heavy metal toxicity     PBDE     PCDD/F    

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Molecular dynamics modeling of a single diamond abrasive grain in grinding

SAVVOPOULOS,Nikolaos E. KARKALOS,Dimitrios E. MANOLAKOS

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 168-175 doi: 10.1007/s11465-015-0337-y

Abstract:

In this paper the nano-metric simulation of grinding of copper with diamond abrasive grains, using the molecular dynamics (MD) method, is considered. An MD model of nano-scale grinding, where a single diamond abrasive grain performs cutting of a copper workpiece, is presented. The Morse potential function is used to simulate the interactions between the atoms involved in the procedure. In the proposed model, the abrasive grain follows a curved path with decreasing depth of cut within the workpiece to simulate the actual material removal process. Three different initial depths of cut, namely 4 ?, 8 ? and 12 ?, are tested, and the influence of the depth of cut on chip formation, cutting forces and workpiece temperatures are thoroughly investigated. The simulation results indicate that with the increase of the initial depth of cut, average cutting forces also increase and therefore the temperatures on the machined surface and within the workpiece increase as well. Furthermore, the effects of the different values of the simulation variables on the chip formation mechanism are studied and discussed. With the appropriate modifications, the proposed model can be used for the simulation of various nano-machining processes and operations, in which continuum mechanics cannot be applied or experimental techniques are subjected to limitations.

Keywords： molecular dynamics     abrasive process     chip formation     cutting force     temperature    

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Policy options for Agriculture Green Development by farmers in China

Laurence E. D. SMITH

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 90-97 doi: 10.15302/J-FASE-2019290

Abstract:

Farmers are the key agents who manage land and water. Agriculture Green Development (AGD) requires a transformation in farming from high resource consumption and environmental cost to sustainable intensification with high productivity, high resource use efficiency and low environmental risk. This paper analyzes the public policy challenge of AGD and makes the case for a location-sensitive policy mix made up of regulation, advice provision, voluntarism and targeted incentives. The public agricultural extension service in China is a key resource, but one that requires reorientation and reform with the aim of better balancing high farm productivity with environmental protection.

Keywords： agriculture     environment     development     incentives     policy     regulation    

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The Use of Data Mining Techniques in Rockburst Risk Assessment

Luis Ribeiro e Sousa, Tiago Miranda, Rita Leal e Sousa, Joaquim Tinoco

Engineering 2017, Volume 3, Issue 4,   Pages 552-558 doi: 10.1016/J.ENG.2017.04.002

Abstract:

Rockburst is an important phenomenon that has affected many deep underground mines around the world. An understanding of this phenomenon is relevant to the management of such events, which can lead to saving both costs and lives. Laboratory experiments are one way to obtain a deeper and better understanding of the mechanisms of rockburst. In a previous study by these authors, a database of rockburst laboratory tests was created; in addition, with the use of data mining (DM) techniques, models to predict rockburst maximum stress and rockburst risk indexes were developed. In this paper, we focus on the analysis of a database of in situ cases of rockburst in order to build influence diagrams, list the factors that interact in the occurrence of rockburst, and understand the relationships between these factors. The in situ rockburst database was further analyzed using different DM techniques ranging from artificial neural networks (ANNs) to naive Bayesian classifiers. The aim was to predict the type of rockburst—that is, the rockburst level—based on geologic and construction characteristics of the mine or tunnel. Conclusions are drawn at the end of the paper.

Keywords： Rockburst     Data mining     Bayesian networks     In situ database    

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Title Author Date Type Operation

An improved design method to predict the E-modulus and strength of FRP composites at different temperatures

Mohammed FARUQI, Gobishanker RAJASKANTHAN, Breanna BAILEY, Francisco AGUINIGA

Journal Article

An improved design method to predict the E-modulus and strength of FRP composites at different temperatures

Mohammed FARUQI, Gobishanker RAJASKANTHAN, Breanna BAILEY, Francisco AGUINIGA

Journal Article

Advanced cement based nanocomposites reinforced with MWCNTs and CNFs

Emmanuel E. GDOUTOS,Maria S. KONSTA-GDOUTOS,Panagiotis A. DANOGLIDIS,Surendra P. SHAH

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Elastic modulus and thermal stress in coating during heat cycling with different substrate shapes

Daniel GAONA,Alfredo VALAREZO

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

Journal Article

Simulation of viscoelastic behavior of defected rock by using numerical manifold method

Feng REN, Lifeng FAN, Guowei MA

Journal Article

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

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

Journal Article

Assessing artificial neural network performance for predicting interlayer conditions and layer modulus

Lingyun YOU, Kezhen YAN, Nengyuan LIU

Journal Article

Sustainability of metal recovery from E-waste

Biswajit Debnath, Ranjana Chowdhury, Sadhan Kumar Ghosh

Journal Article

The stress relaxation of cement clinkers under high temperature

Xiufang WANG,Yiwang BAO,Xiaogen LIU,Yan QIU

Journal Article

risks of heavy metals, polybrominated diphenyl ethers, and polychlorinated dibenzo-dioxins/furans at e-waste

Journal Article

Molecular dynamics modeling of a single diamond abrasive grain in grinding

SAVVOPOULOS,Nikolaos E. KARKALOS,Dimitrios E. MANOLAKOS

Journal Article

Policy options for Agriculture Green Development by farmers in China

Laurence E. D. SMITH

Journal Article

The Use of Data Mining Techniques in Rockburst Risk Assessment

Luis Ribeiro e Sousa, Tiago Miranda, Rita Leal e Sousa, Joaquim Tinoco

Journal Article