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岩石力学与工程学报 2019年第1期38卷 153-170页

作者： R.A.T.m.Ranasinghe m.b.jaksa F.Pooya Nejad Y.L.Kuo School of Civil Environmental and Mining EngineeringUniversity of Adelaide

Rolling Dynamic Compaction(RDC),which is a ground improvement technique involving non-circular modules drawn behind a tractor,has provided the construction industry with an improved ground compaction capability,especially with respect to a greater influence depth and a higher speed of compaction,resulting in increased productivity. However,to date,there is no reliable method to predict the effectiveness of RDC in a range of ground conditions. This paper presents a new and unique predictive tool developed by means of artificial neural networks(ANNs) that permits a priori prediction of density improvement resulting from a range of ground improvement projects that employed 4-sided RDC modules;commercially known as"impact rollers". The strong coefficient of correlation(i.e. R>0.86) and the parametric behavior achieved in this study indicate that the model is successful in providing reliable predictions of the effectiveness of RDC in various ground conditions.

关键词： soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement

Genetic programming for predictions of effectiveness of rolling dynamic compaction with dynamic cone penetrometer test results

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Journal of Rock mechanics and Geotechnical Engineering 2019年第4期11卷 815-823页

作者： R.A.T.m.Ranasinghe m.b.jaksa F.Pooya Nejad Y.L.Kuo School of Civil Environmental and Mining Engineering The University of Adelaide

Rolling dynamic compaction (RDC),which employs non-circular module towed behind a tractor,is an innovative soil compaction method that has proven to be successful in many ground improvement *** involves repeatedly delivering high-energy impact blows onto the ground surface,which improves soil density and thus soil strength and ***,there exists a lack of methods to predict the effectiveness of RDC in different ground conditions,which has become a major obstacle to its *** this,in this context,a prediction model is developed based on linear genetic programming (LGP),which is one of the common approaches in application of artificial intelligence for nonlinear *** model is based on in situ density-related data in terms of dynamic cone penetrometer (DCP) results obtained from several projects that have employed the 4-sided,8-t impact roller (bH-1300).It is shown that the model is accurate and reliable over a range of soil ***,a series of parametric studies confirms its robustness in generalizing *** addition,the results of the comparative study indicate that the optimal LGP model has a better predictive performance than the existing artificial neural network (ANN) model developed earlier by the authors.

关键词： Ground improvement Rolling dynamic compaction (RDC) Linear genetic programming (LGP) Dynamic cone penetrometer (DCP) test

Seepage properties of a single rock fracture subjected to triaxial stresses

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Progress in Natural Science:materials International 2007年第12期17卷 1482-1486页

作者： m.b.jaksa 5005 Australia School of Civil and Environmental Engineering University of Adelaide

Coupled properties of seepage and stress fields of rock fractures greatly influence the safety of geotechnical engineering work. based on the closing deformation principle of a single rock fracture, equations describing relationships of aperture and triaxial stresses are developed, and coupled models of seepage and triaxial stresses are proposed. Seepage tests are conducted under triaxial stress conditions by adopting hard granite specimens with an artificial fracture. The results show that the normal stress, lateral stress and seepage pressure significantly affect the flow behavior of rock fractures, and that hydraulic conductivity decreases with increasing normal stress, but increases with rising lateral stress or seepage pressure. In addition, an exponential function provides a good representation of the seepage characteristics of a single rock fracture subjected to triaxial stresses.

关键词： triaxial stresses rock fractures seepage hydraulic conductivity coupling model.

Influence of towing speed on effectiveness of rolling dynamic compaction

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Journal of Rock mechanics and Geotechnical Engineering 2020年第1期12卷 126-134页

作者： brendan T.Scott mark b.jaksa Peter W.mitchell School of Civil Environmental and Mining EngineeringThe University of AdelaideSouth Australia5005Australia Aurecon AdelaideSouth Australia5000Australia

The influence of towing speed on the effectiveness of the 4-sided impact roller using earth pressure cells(EPCs)is *** field trials were undertaken;the first trial used three EPCs placed at varying depths between 0.5 m and 1.5 m with towing speeds of 9-12 km/*** second used three EPCs placed at a uniform depth of 0.8 m,with towing speeds of 5-15 km/*** findings from the two trials confirmed that towing speed influences the pressure imparted to the ground and hence compactive *** paper proposes that the energy imparted to the ground is best described in terms of work done,which is the sum of the change in both potential and kinetic *** practice of using either kinetic energy or gravitational potential energy should be avoided as neither can accurately quantify rolling dynamic compaction(RDC)when towing speed is varied.

关键词： Rolling dynamic compaction(RDC) Optimum towing speed Ground improvement

Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results

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Journal of Rock mechanics and Geotechnical Engineering 2017年第2期9卷 340-349页

作者： R.A.T.m. Ranasinghe m.b. jaksa Y.L. Kuo F. Pooya Nejad School of Civil Environmental and Mining EngineeringUniversity of AdelaideAdelaideAustralia

Rolling dynamic compaction(RDC),which involves the towing of a noncircular module,is now widespread and accepted among many other soil compaction ***,to date,there is no accurate method for reliable prediction of the densification of soil and the extent of ground improvement by means of *** study presents the application of artificial neural networks(ANNs) for a priori prediction of the effectiveness of *** models are trained with in situ dynamic cone penetration(DCP) test data obtained from previous civil projects associated with the 4-sided impact *** predictions from the ANN models are in good agreement with the measured field data,as indicated by the model correlation coefficient of approximately *** is concluded that the ANN models developed in this study can be successfully employed to provide more accurate prediction of the performance of the RDC on a range of soil types.

关键词： Rolling dynamic compaction(RDC) Ground improvement Artificial neural network(ANN) Dynamic cone penetration(DCP) test

mitochondria–cGAS–STING axis is a potential therapeutic target for senescence-dependent inflammaging-associated neurodegeneration

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Neural Regeneration Research 2025年第3期20卷 805-807页

作者： Josém.Izquierdo Centro de biología molecular Severo Ochoa(Cbm) Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid(CSIC-UAM)MadridSpain

The word “senescence” comes from the Latin senescens, meaning “to begin to age”, and is characterized by a long-lasting but reversible block in proliferation, resulting from stress-induced cell cycle arrest of pre... 详细信息

关键词： Latin potential lasting

microstructure and room temperature tensile properties of 1μm-SiCp/AZ31b magnesium matrix composite

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Journal of magnesium and Alloys 2015年第2期3卷 155-161页

作者： m.J.Shen X.J.Wang m.F.Zhang b.H.Zhang m.Y.Zheng K.Wu College of Engineering Shenyang Agricultural UniversityShenyang 110866PR China School of materials Science and Engineering Harbin Institute of TechnologyHarbin 150001PR China Liaoning Provincial Gem Quality Supervision and Inspection Center Shenyang 110000PR China

In the present study,AZ31b magnesium matrix composites reinforced with two volume fractions(3 and 5 vol.%)of micron-SiC particles(1μm)were fabricated by semisolid stirring assisted ultrasonic vibration *** as-cast ingots were extruded at 350℃ with the extrusion ratio of 15:1 at a constant ram speed of 15 mm/*** microstructure of the composites was investigated by optical microscopy,scanning electron microscope and transmission electron *** characterization of the composites showed relative uniform reinforcement distribution and significant grain *** presence of 1μm-SiC particles assisted in improving the elastic modulus and tensile *** ultimate tensile strength and yield strength of the 5 vol.%SiCp/AZ31b composites were simultaneously improved.

关键词： magnesium matrix composite microstructure mechanical properties

On a biseparability criterion of bipartite qudit state

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Chinese Physics b 2019年第8期28卷 42-49页

作者： b benzimoun m Daoud LPHE-modeling and Simulation Faculty of SciencesUniversity Mohammed ⅤRabatMorocco Department of Physics Faculty of Sciences-Ain ChockUniversity Hassan ⅡCasablancaMorocco Abdus Salam International Centre for Theoretical Physics TriesteItaly

In this paper,we propose a new approach to tackle the separability problem for bipartite qudit *** is based on the majorana representation which allows to represent a N-spinors(qudit)as a symmetric state of N spin-1/*** also discuss how we can exploit such representation and the notion of the biseparability of multipartite qubit states in the sense to establish new criteria of the separability problem based on the PPT and concurrence.

关键词： separability bipartite qubit state partial separability majorana representation

Phase diagrams and magnetic properties of the mixed spin-1 and spin-3/2 Ising ferromagnetic thin film: monte Carlo treatment

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Chinese Physics b 2019年第2期28卷 414-419页

作者： b boughazi m boughrara m Kerouad Laboratoire Physique des matériaux et modélisation des Systémes(LP2mS) UnitéAssociée au CNRST-URAC:08Faculty of SciencesUniversity Moulay Ismail

Phase diagrams and magnetic properties of the mixed spin-1 and spin-3/2 Ising film with different single-ion anisotropies are investigated, by the use of monte Carlo simulation based on heat bath algorithms. The effects of the crystal-fields and the surface coupling on the phase diagrams are investigated in detail and the obtained phase diagrams are presented. Depending on the Hamiltonian parameters, the system exhibits both second-and first-order phase transitions besides tricritical point, triple point, and isolated critical end point.

关键词： monte Carlo simulation thin film phase diagrams magnetic properties

Strong and ductile mg alloys developed by dislocation engineering

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Journal of materials Science & Technology 2019年第3期35卷 394-395页

作者： m.Wang b.b.He m.X.Huang Department of mechanical Engineering The University of Hong Kong Shenzhen Institute of Research and Innovation The University of Hong Kong

Dislocation engineering concept has been successfully employed to tackle the strength-ductility trade-off in steels, resulting in the development of high-strength high-ductility deformed and partitioned(D&P)steel. The present perspective proposes to employ such dislocation engineering concept to develop strong and ductile magnesium(mg) alloys. High density of dislocations could be generated at appropriate temperature and retained in the mg alloy after quenching to room temperature. Those dislocations inherited from the warm deformation could provide dislocation sources when the mg alloy is deformed at room temperature, resulting in good ductility. The high dislocation density generated at warm deformation provides dislocation forest hardening, leading to improved yield strength of mg alloy.

关键词： Dislocation engineering mg alloys Warm rolling Strength and ductility