Advanced Simulation Tools Applied to Materials Development and Design Predictions

This thematic issue on advanced simulation tools applied to materials development and design predictions gathers selected extended papers related to power generation systems, presented at the XIX International Colloquium on Mechanical Fatigue of Metals (ICMFM XIX) organized at University of Porto, Portugal, in 2018. Guest editors express special thanks to all contributors for the success of this special issue—authors, reviewers, and journal staff.

[1]  Martin Glinz,et al.  Guest editorial , 2003, Software and Systems Modeling.

[2]  Donald G. Davis,et al.  Foreword , 1980, Mathematics and Financial Economics.

[3]  José A.F.O. Correia,et al.  Editorial of the ICMFM Conference , 2016 .

[4]  J. Correia,et al.  Mechanical fatigue of metals , 2017 .

[5]  Chao Li,et al.  First-Principles Study on the Adsorption and Dissociation of Impurities on Copper Current Collector in Electrolyte for Lithium-Ion Batteries , 2018, Materials.

[6]  Shaoxiong Xie,et al.  Indentation Behavior and Mechanical Properties of Tungsten/Chromium co-Doped Bismuth Titanate Ceramics Sintered at Different Temperatures , 2018, Materials.

[7]  S. Luo,et al.  Surface Nanocrystallization and Amorphization of Dual-Phase TC11 Titanium Alloys under Laser Induced Ultrahigh Strain-Rate Plastic Deformation , 2018, Materials.

[8]  Jafo. Correia,et al.  Recent developments on experimental techniques, fracture mechanics and fatigue approaches , 2018, The Journal of Strain Analysis for Engineering Design.

[9]  Cheng-Wei Fei,et al.  Probabilistic Fatigue/Creep Optimization of Turbine Bladed Disk with Fuzzy Multi-Extremum Response Surface Method , 2019, Materials.

[10]  E. Ossola,et al.  Microinclusion and Fatigue Performanceof Bearing Rolling Elements , 2019 .

[11]  G. Lesiuk,et al.  Influence of Polyurea Composite Coating on Selected Mechanical Properties of AISI 304 Steel , 2019, Materials.

[12]  G. Lesiuk.  Application of a New, Energy-Based ΔS* Crack Driving Force for Fatigue Crack Growth Rate Description , 2019, Materials.

[13]  A. Koch,et al.  Computed Tomography-Based Characterization of the Fatigue Behavior and Damage Development of Extruded Profiles Made from Recycled AW6060 Aluminum Chips , 2019, Materials.

[14]  Andrei Kotousov,et al.  Guest editorial: Advanced design and fatigue assessment of structural components , 2019, Fatigue & Fracture of Engineering Materials & Structures.

[15]  Zheng Liu,et al.  PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades , 2019, Materials.

[16]  A. D. de Jesus,et al.  The renewed TC12/ESIS technical committee - Risk analysis and safety of large structures and components , 2019, Engineering Failure Analysis.

[17]  Wenzhong Tang,et al.  Reliability-Based Low Fatigue Life Analysis of Turbine Blisk with Generalized Regression Extreme Neural Network Method , 2019, Materials.

[18]  A. D. de Jesus,et al.  Study of the Fatigue Crack Growth in Long-Term Operated Mild Steel under Mixed-Mode (I + II, I + III) Loading Conditions , 2020, Materials.