A new conjugated hyperbranched polymer （hb-TFO） containing tetraphenylethylene （TPE） units, a famous aggregation-induced emission （AIE） active group, as the core, was synthesized successfully with modest yield v...A new conjugated hyperbranched polymer （hb-TFO） containing tetraphenylethylene （TPE） units, a famous aggregation-induced emission （AIE） active group, as the core, was synthesized successfully with modest yield via one-pot Suzuki polymerization reaction. Thanks to the introduction of TPE moieties, hb-TFO exhibited aggregation-enhanced emission （AEE） property, and could work as explosive chemosensor with high sensitivity. The polymeric light-emitting diode （PLED） device was fabricated to investigate its electroluminescent property, and hb-TFO demonstrated a maximum luminance efficiency of 0.22 cd/A and a maximum brightness of 545 cd/m2 at 15.9 V.展开更多
In this paper, parallel library, portable extensible toolkit for scientific computation （FETSc）, 18 used to solve linear systems in soil-water coupled finite element method （FEM） for geotechnical problems. The par...In this paper, parallel library, portable extensible toolkit for scientific computation （FETSc）, 18 used to solve linear systems in soil-water coupled finite element method （FEM） for geotechnical problems. The parallel environment is integrated into GLEAVES, which is a geotechnical software package used for the finite elementsimulation. The linear system Ax = b which is a fundamental and the most time-consuming part of the FEM is solved with iterative solvers in PETSc. In order to find a robust and effective combination of iterative solvers and corresponding preconditioners for the soil-water coupled problems, performance evaluations on Krylov subspace methods and four preconditioners are carried out. The results indicate that general minimal residual （GMRES） method coupled with preconditioners can provide an effective solution. The application to a construction project is presented to illustrate the potential of the proposed solution.展开更多
A coupled Navier-Stokes/free-wake method is developed to predict the rotor aerodynamics and wake.The widely-used Farassat 1 Aformulation is adopted to predict the rotor noise.In the coupled method,the Reynolds-average...A coupled Navier-Stokes/free-wake method is developed to predict the rotor aerodynamics and wake.The widely-used Farassat 1 Aformulation is adopted to predict the rotor noise.In the coupled method,the Reynolds-averaged Navier-Stokes(RANS)solver is established to simulate complex aerodynamic phenomena around blade and the tip-wake is captured by a free-wake model without numerical dissipation in the off-body wake zone.To overcome the time-consuming of the coupling strategy in previous studies,a more efficient coupling strategy is presented,by which only the induced velocity on the outer boundary grid need to be calculated.In order to obtain blade control settings,a delta trimming procedure is developed,which is more efficient than traditional trim method in the calculation of Jacobian matrix.Several flight conditions are simulated to demonstrate the validity of the coupled method.Then the rotor noise of operational load survey(OLS)is studied by the developed method as an application and the computational results are shown to be in good agreements with the available experimental data.展开更多
文摘A new conjugated hyperbranched polymer （hb-TFO） containing tetraphenylethylene （TPE） units, a famous aggregation-induced emission （AIE） active group, as the core, was synthesized successfully with modest yield via one-pot Suzuki polymerization reaction. Thanks to the introduction of TPE moieties, hb-TFO exhibited aggregation-enhanced emission （AEE） property, and could work as explosive chemosensor with high sensitivity. The polymeric light-emitting diode （PLED） device was fabricated to investigate its electroluminescent property, and hb-TFO demonstrated a maximum luminance efficiency of 0.22 cd/A and a maximum brightness of 545 cd/m2 at 15.9 V.
基金the National Natural Science Foundation of China(Nos.41172251 and 41002097)
文摘In this paper, parallel library, portable extensible toolkit for scientific computation （FETSc）, 18 used to solve linear systems in soil-water coupled finite element method （FEM） for geotechnical problems. The parallel environment is integrated into GLEAVES, which is a geotechnical software package used for the finite elementsimulation. The linear system Ax = b which is a fundamental and the most time-consuming part of the FEM is solved with iterative solvers in PETSc. In order to find a robust and effective combination of iterative solvers and corresponding preconditioners for the soil-water coupled problems, performance evaluations on Krylov subspace methods and four preconditioners are carried out. The results indicate that general minimal residual （GMRES） method coupled with preconditioners can provide an effective solution. The application to a construction project is presented to illustrate the potential of the proposed solution.
文摘A coupled Navier-Stokes/free-wake method is developed to predict the rotor aerodynamics and wake.The widely-used Farassat 1 Aformulation is adopted to predict the rotor noise.In the coupled method,the Reynolds-averaged Navier-Stokes(RANS)solver is established to simulate complex aerodynamic phenomena around blade and the tip-wake is captured by a free-wake model without numerical dissipation in the off-body wake zone.To overcome the time-consuming of the coupling strategy in previous studies,a more efficient coupling strategy is presented,by which only the induced velocity on the outer boundary grid need to be calculated.In order to obtain blade control settings,a delta trimming procedure is developed,which is more efficient than traditional trim method in the calculation of Jacobian matrix.Several flight conditions are simulated to demonstrate the validity of the coupled method.Then the rotor noise of operational load survey(OLS)is studied by the developed method as an application and the computational results are shown to be in good agreements with the available experimental data.
