Nome |
# |
Recent developments in frequency domain multi-axial fatigue analysis, file e309ade3-8329-3969-e053-3a05fe0a2c94
|
122
|
Recent developments in frequency domain multi-axial fatigue analysis, file e309ade4-26db-3969-e053-3a05fe0a2c94
|
100
|
On the damage mechanisms in a continuous casting mold: After-service material characterization and finite element simulation, file e309ade3-8b3a-3969-e053-3a05fe0a2c94
|
80
|
Modeling the cyclic plasticity behavior of 42CrMo4 steel with an isotropic model calibrated on the whole shape of the evolution curve, file e309ade3-52a3-3969-e053-3a05fe0a2c94
|
52
|
Metal plasticity and fatigue at high temperature, file e309ade3-1ec7-3969-e053-3a05fe0a2c94
|
49
|
Metal plasticity and fatigue at high temperature, file e309ade3-1950-3969-e053-3a05fe0a2c94
|
48
|
Cyclic plasticity and low cycle fatigue of an aisi 316l stainless steel: Experimental evaluation of material parameters for durability design, file e309ade4-8b19-3969-e053-3a05fe0a2c94
|
45
|
An isotropic model for cyclic plasticity calibrated on the whole shape of hardening/softening evolution curve, file e309ade2-50fe-3969-e053-3a05fe0a2c94
|
42
|
Fatigue damage assessment in wide-band uniaxial random loadings by PSD decomposition: outcomes from recent research, file e309ade3-8325-3969-e053-3a05fe0a2c94
|
41
|
An innovative system for uncoupled bending/torsion tests by tri-axis shaker: numerical simulations and experimental results, file e309ade1-e5c7-3969-e053-3a05fe0a2c94
|
39
|
FEM strategies for Large Scale Thermo-Mechanical Simulations with Material Non-linearity, file e309ade2-68ef-3969-e053-3a05fe0a2c94
|
39
|
Fatigue strength of S355JC steel under harmonic and random bending torsion loading by a tri-axis shaker: Preliminary experimental results, file e309ade2-89fa-3969-e053-3a05fe0a2c94
|
39
|
A bandwidth correction to the Allegri-Zhang solution for accelerated random vibration testing, file e309ade1-e5c9-3969-e053-3a05fe0a2c94
|
38
|
An efficient procedure to speed up critical plane search in multiaxial fatigue: Application to the Carpinteri-Spagnoli spectral criterion, file e309ade2-8a05-3969-e053-3a05fe0a2c94
|
38
|
Acceleration techniques for the numerical simulation of the cyclic plasticity behaviour of mechanical components under thermal loads, file e309ade1-e5cb-3969-e053-3a05fe0a2c94
|
36
|
Numerical simulation of cyclic plasticity in mechanical components under low cycle fatigue loading: accelerated material models, file e309ade2-8fdc-3969-e053-3a05fe0a2c94
|
36
|
Techniques to accelerate thermo-mechanical simulations in large-scale FE models with nonlinear plasticity and cyclic input, file e309ade2-68ed-3969-e053-3a05fe0a2c94
|
35
|
Variance of fatigue damage in stationary random loadings: comparison between time- and frequency-domain results, file e309ade2-8a09-3969-e053-3a05fe0a2c94
|
34
|
Experimental characterization of a CuAg alloy for thermo-mechanical applications: Non-linear plasticity models and low-cycle fatigue curves, file e309ade1-d2b0-3969-e053-3a05fe0a2c94
|
33
|
The “Projection-by-projection” (PbP) criterion for multiaxial random fatigue loadings: Guidelines to practical implementation, file e309ade2-17ff-3969-e053-3a05fe0a2c94
|
33
|
Dirlik and Tovo-Benasciutti spectral methods in vibration fatigue: A review with a historical perspective, file e309ade5-0cef-3969-e053-3a05fe0a2c94
|
33
|
Experimental characterisation of a CuAg alloy for thermo-mechanical applications. Part 1: Identifying parameters of non-linear plasticity models, file e309ade1-bc15-3969-e053-3a05fe0a2c94
|
23
|
Experimental characterisation of a CuAg alloy for thermo-mechanical applications. Part 1: Identifying parameters of non-linear plasticity models, file e309ade4-4731-3969-e053-3a05fe0a2c94
|
20
|
Simplified numerical approach for the thermo-mechanical analysis of steelmaking components under cyclic loading: an anode for electric arc furnace, file e309ade3-840d-3969-e053-3a05fe0a2c94
|
19
|
Experimental characterisation of a CuAg alloy for thermo-mechanical applications. Part 2: Design strain-life curves estimated via statistical analysis, file e309ade3-8973-3969-e053-3a05fe0a2c94
|
19
|
Accelerated cyclic plasticity models for FEM analysis of steelmaking components under thermal loads, file e309ade2-13f2-3969-e053-3a05fe0a2c94
|
15
|
Vibration fatigue tests by tri-axis shaker: design of an innovative system for uncoupled bending/torsion loading, file e309ade2-1b28-3969-e053-3a05fe0a2c94
|
13
|
Friction stir welds in aluminium: Design S‐N curves from statistical analysis of literature data, file e309ade2-e481-3969-e053-3a05fe0a2c94
|
13
|
Variance of fatigue damage in narrowband Gaussian random loadings: Exact solution and approximations, file e309ade4-7f88-3969-e053-3a05fe0a2c94
|
13
|
Friction stir welds in aluminium: Design S‐N curves from statistical analysis of literature data, file e309ade1-bc19-3969-e053-3a05fe0a2c94
|
12
|
A frequency-domain model assessing random loading damage by the strain energy density parameter, file e309ade3-5197-3969-e053-3a05fe0a2c94
|
12
|
Confidence interval of the ‘single-moment’ fatigue damage calculated from an estimated power spectral density, file e309ade3-2fe6-3969-e053-3a05fe0a2c94
|
11
|
Thermal stress analysis of PCM containers for temperature smoothing of waste gas, file e309ade3-89d2-3969-e053-3a05fe0a2c94
|
11
|
Variance of the fatigue damage in non-Gaussian stochastic processes with narrow-band power spectrum, file e309ade4-a1b9-3969-e053-3a05fe0a2c94
|
9
|
Computer-aided durability analysis of complex structures under multiaxial random loadings through the Projection-by-Projection spectral method, file e309ade5-0a3f-3969-e053-3a05fe0a2c94
|
9
|
Variability of the fatigue damage due to the randomness of a stationary vibration load, file c1d350ad-5705-45aa-ba20-26d352540900
|
8
|
Basic principles of spectral multi-axial fatigue analysis, file e309ade0-970a-3969-e053-3a05fe0a2c94
|
7
|
An overview of fatigue testing systems for metals under uniaxial and multiaxial random loadings, file e309ade4-2cb5-3969-e053-3a05fe0a2c94
|
6
|
Thermo-mechanical finite element simulation and fatigue life assessment of a copper mould for continuous casting of steel, file e309ade0-9e6d-3969-e053-3a05fe0a2c94
|
5
|
More on variance of fatigue damage in non-Gaussian random loadings - Effect of skewness and kurtosis, file e309ade3-1ec5-3969-e053-3a05fe0a2c94
|
5
|
Estimation of material parameters in nonlinear hardening plasticity models and strain life curves for CuAg alloy, file e309ade1-0c69-3969-e053-3a05fe0a2c94
|
3
|
Experimental characterisation of a CuAg alloy for thermo-mechanical applications. Part 2: Design strain-life curves estimated via statistical analysis, file e309ade1-d314-3969-e053-3a05fe0a2c94
|
3
|
Experimental characterisation of a CuAg alloy for thermo-mechanical applications. Part 1: Identifying parameters of non-linear plasticity models, file e309ade2-e9fe-3969-e053-3a05fe0a2c94
|
3
|
Benchmarks for accelerated cyclic plasticity models with finite elements, file e309ade3-09cd-3969-e053-3a05fe0a2c94
|
3
|
Fatigue properties and microstructural analysis of diecast AlSi11Cu2(Fe) alloy: effect of surface finishing, file e309ade5-33c3-3969-e053-3a05fe0a2c94
|
3
|
Fatigue Analysis of Nonstationary Random Loadings Measured in an Industrial Vehicle Wheel: Uncertainty of Fatigue Damage, file e309ade5-8f1d-3969-e053-3a05fe0a2c94
|
3
|
Material modelling in multi-physics FEM simulation, file e309ade2-1b88-3969-e053-3a05fe0a2c94
|
2
|
Simplified numerical approach for the thermo-mechanical analysis of steelmaking components under cyclic loading: an anode for electric arc furnace, file e309ade2-1d5b-3969-e053-3a05fe0a2c94
|
2
|
The role of uncertainty of power spectral density data in estimating the fatigue damage of random uniaxial loadings through frequency-domain methods, file e309ade2-a803-3969-e053-3a05fe0a2c94
|
2
|
Fatigue damage assessment model in frequency domain for non-Gaussian strain energy density parameter, file e309ade2-a805-3969-e053-3a05fe0a2c94
|
2
|
Friction stir welds in aluminium: Design S‐N curves from statistical analysis of literature data, file e309ade2-eda2-3969-e053-3a05fe0a2c94
|
2
|
Corrigendum to “Variability of the fatigue damage due to the randomness of a stationary vibration load” [Int. J. Fatigue 141 (2020) 105891], file e309ade4-d415-3969-e053-3a05fe0a2c94
|
2
|
Fracture, Fatigue, and Structural Integrity of Metallic Materials and Components Undergoing Random or Variable Amplitude Loadings, file 1f314da1-6537-4442-878e-3eda4e256df7
|
1
|
An harmonic 1D-element for nonlinear analysis of axisymmetric structures: the case of hot rolling, file e309ade0-970d-3969-e053-3a05fe0a2c94
|
1
|
An analytical approach to measure the accuracy of various definitions of the "equivalent von Mises stress" in vibration multiaxial fatigue, file e309ade0-9ce1-3969-e053-3a05fe0a2c94
|
1
|
Metallurgical and surface damage analysis in a copper mold after service, file e309ade1-a898-3969-e053-3a05fe0a2c94
|
1
|
Frequency-based analysis of random fatigue loads: Models, hypotheses, reality, file e309ade1-c7ba-3969-e053-3a05fe0a2c94
|
1
|
On the performance improvement of piezoelectric energy harvesters, file e309ade1-d2ae-3969-e053-3a05fe0a2c94
|
1
|
On the damage mechanisms in a continuous casting mold: After-service material characterization and finite element simulation, file e309ade1-ebd9-3969-e053-3a05fe0a2c94
|
1
|
How material properties affect the thermal distortion of a mold for continuous casting of steel, file e309ade1-fcca-3969-e053-3a05fe0a2c94
|
1
|
Metallurgical and surface damage analysis in a copper mold after service, file e309ade2-13f5-3969-e053-3a05fe0a2c94
|
1
|
Thermal distortion in copper moulds for continuous casting of steel: numerical study on creep and plasticity effect, file e309ade2-1d5d-3969-e053-3a05fe0a2c94
|
1
|
Computer-aided durability analysis of complex structures under multiaxial random loadings through the Projection-by-Projection spectral method, file e309ade2-4cff-3969-e053-3a05fe0a2c94
|
1
|
Thermal stress analysis of PCM containers for temperature smoothing of waste gas, file e309ade2-e39d-3969-e053-3a05fe0a2c94
|
1
|
An algorithm for fast critical plane search in computer-aided engineering durability analysis under multiaxial random loadings: Application to the Carpinteri–Spagnoli–Vantadori spectral method, file e309ade3-057c-3969-e053-3a05fe0a2c94
|
1
|
Variability of the fatigue damage due to the randomness of a stationary vibration load, file e309ade3-0652-3969-e053-3a05fe0a2c94
|
1
|
Comment on paper: A unified frequency domain fatigue damage modeling approach for random-on-random spectrum [Z. Li and A. Ince. Int J Fatigue, 2019;124:123–137], file e309ade3-1ec9-3969-e053-3a05fe0a2c94
|
1
|
Confidence interval of the ‘single-moment’ fatigue damage calculated from an estimated power spectral density, file e309ade3-2527-3969-e053-3a05fe0a2c94
|
1
|
A frequency-domain model assessing random loading damage by the strain energy density parameter, file e309ade3-50d4-3969-e053-3a05fe0a2c94
|
1
|
A harmonic one-dimensional element for non-linear thermo-mechanical analysis of axisymmetric structures under asymmetric loads: The case of hot strip rolling, file e309ade4-2657-3969-e053-3a05fe0a2c94
|
1
|
Variance of the fatigue damage in non-Gaussian stochastic processes with narrow-band power spectrum, file e309ade4-8512-3969-e053-3a05fe0a2c94
|
1
|
A model to assess the variance of fatigue damage in high-kurtosis asymmetrical random loadings with narrow-band power spectrum, file e309ade4-87bf-3969-e053-3a05fe0a2c94
|
1
|
Variance of fatigue damage in narrowband Gaussian random loadings: Exact solution and approximations, file e309ade4-8b15-3969-e053-3a05fe0a2c94
|
1
|
Fatigue properties and microstructural analysis of diecast AlSi11Cu2(Fe) alloy: effect of surface finishing, file e309ade4-d7b4-3969-e053-3a05fe0a2c94
|
1
|
Methods for estimating the statistical variability of the fatigue damage computed in one single stationary or non-stationary random time-history record, file e309ade5-0cf1-3969-e053-3a05fe0a2c94
|
1
|
Evaluating Confidence Interval of Fatigue Damage from One Single Measured Non-stationary Time-History, file e309ade5-9dc5-3969-e053-3a05fe0a2c94
|
1
|
Totale |
1.296 |