A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

(2020) E. Samaniego et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A modified stress field intensity approach for fatigue life prediction of components

(2020) Peng Zhao et al.   MATERIALS & DESIGN

An efficient computational strategy of cycle-jumps dedicated to fatigue of composite structures

(2020) O. Sally et al.   INTERNATIONAL JOURNAL OF FATIGUE

A local stress-strain approach for fatigue damage prediction of subsea wellhead system based on semi-decoupled model

(2020) Jiayi Li et al.   APPLIED OCEAN RESEARCH

Development of a novel fatigue damage model with AM effects for life prediction of commonly-used alloys in aerospace

(2019) Zhixin Zhan et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Evaluation of the mechanical and wear properties of titanium produced by three different additive manufacturing methods for biomedical application

(2019) H. Attar et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

New hybrid cycle jump approach for predicting low-cycle fatigue behavior by a micromechanical model with the damage induced anisotropy concept

(2019) A. Abdul-Latif et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Fatigue Life Prediction of Aero-engine Compressor Disk based on a New Stress Field Intensity Approach

(2019) Bingfeng Zhao et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Multiaxial fatigue analysis of notched components using combined critical plane and critical distance approach

(2019) Ding Liao et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

A new continuum damage mechanics-based two-scale model for high-cycle fatigue life prediction considering the two-segment characteristic in S-N curves

(2019) Susong Yang et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Energy field intensity approach for notch fatigue analysis

(2019) Ding Liao et al.   INTERNATIONAL JOURNAL OF FATIGUE

A simplified continuum damage mechanics based modeling strategy for cumulative fatigue damage assessment of metallic bolted joints

(2019) Ning Liu et al.   INTERNATIONAL JOURNAL OF FATIGUE

Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

(2018) Priyanka Singh et al.   APPLIED ENERGY

The influence of laminate stacking sequence on ballistic limit using a combined Experimental/FEM/Artificial Neural Networks (ANN) methodology

(2018) J.A. Artero-Guerrero et al.   COMPOSITE STRUCTURES

Additive manufacturing (3D printing): A review of materials, methods, applications and challenges

(2018) Tuan D. Ngo et al.   COMPOSITES PART B-ENGINEERING

Critical distance approach for the fatigue strength assessment of magnesium welded joints in contrast to Neuber's effective stress method

(2018) Ö. Karakaş et al.   INTERNATIONAL JOURNAL OF FATIGUE

Fatigue life assessment of welded joints by two local stress approaches: The notch stress approach and the peak stress method

(2018) Leonardo Bertini et al.   INTERNATIONAL JOURNAL OF FATIGUE

A unifying energy approach for high cycle fatigue behavior evaluation

(2018) Junling Fan et al.   MECHANICS OF MATERIALS

Additive manufacturing of metallic components – Process, structure and properties

(2018) T. DebRoy et al.   PROGRESS IN MATERIALS SCIENCE

A continuum damage mechanics approach for fretting fatigue under out of phase loading

(2018) Nadeem Ali Bhatti et al.   TRIBOLOGY INTERNATIONAL

Understanding the mechanical properties of novel UHTCMCs through random forest and regression tree analysis

(2018) Antonio Vinci et al.   MATERIALS & DESIGN

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

(2018) Andrea Rovinelli et al.   npj Computational Materials

Continuous fatigue damage prediction of a rubber fibre composite structure using multiaxial energy-based approach

(2018) Ales Gosar et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

A Review on the Fatigue Behavior of Ti-6Al-4V Fabricated by Electron Beam Melting Additive Manufacturing

(2018) Andrew H. Chern et al.   INTERNATIONAL JOURNAL OF FATIGUE

Fatigue behavior of Ti-6Al-4V cellular structures fabricated by additive manufacturing technique

(2018) Dechun Ren et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Notch fatigue and crack growth resistance of Ti-6Al-4V ELI additively manufactured via selective laser melting: A critical distance approach to defect sensitivity

(2018) M. Benedetti et al.   INTERNATIONAL JOURNAL OF FATIGUE

Effect of processing conditions on the microstructure, porosity, and mechanical properties of Ti-6Al-4V repair fabricated by directed energy deposition

(2018) Nathan A. Kistler et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

On the accuracy of nominal, structural, and local stress based approaches in designing aluminium welded joints against fatigue

(2017) Ibrahim Al Zamzami et al.   INTERNATIONAL JOURNAL OF FATIGUE

Oxides, porosity and fatigue performance of AlSi10Mg parts produced by selective laser melting

(2017) Ming Tang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Elucidating the Relations Between Monotonic and Fatigue Properties of Laser Powder Bed Fusion Stainless Steel 316L

(2017) Meng Zhang et al.   JOM

Fatigue and fracture behaviour of laser powder bed fusion stainless steel 316L: Influence of processing parameters

(2017) Meng Zhang et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Fatigue of AlSi10Mg specimens fabricated by additive manufacturing selective laser melting (AM-SLM)

(2017) Naor Elad Uzan et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest

(2017) S.S. Matin et al.   APPLIED SOFT COMPUTING

Additive manufacturing of metals

(2016) Dirk Herzog et al.   ACTA MATERIALIA

A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

(2016) Rubén Ibañez et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO 2

(2016) Nongnuch Artrith et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

(2016) Hadi Mashhadban et al.   CONSTRUCTION AND BUILDING MATERIALS

Explaining relationships between coke quality index and coal properties by Random Forest method

(2016) S. Chehreh Chelgani et al.   FUEL

Critical assessment of the fatigue performance of additively manufactured Ti–6Al–4V and perspective for future research

(2016) P. Li et al.   INTERNATIONAL JOURNAL OF FATIGUE

A modified energy-based approach for fatigue life prediction of superelastic NiTi in presence of tensile mean strain and stress

(2016) Mohammad J. Mahtabi et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mechanical behavior of additive manufactured, powder-bed laser-fused materials

(2016) Todd M. Mower et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Modeling of free swelling index based on variable importance measurements of parent coal properties by random forest method

(2016) S. Chehreh Chelgani et al.   MEASUREMENT

Regression and artificial neural network models for strength properties of engineered cementitious composites

(2016) Khandaker M. A. Hossain et al.   NEURAL COMPUTING & APPLICATIONS

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

(2016) Ramin Ghiasi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Fatigue behavior of IN718 microtrusses produced via additive manufacturing

(2016) Lena Huynh et al.   MATERIALS & DESIGN

Comparison of the microstructures and mechanical properties of Ti–6Al–4V fabricated by selective laser melting and electron beam melting

(2016) Xiaoli Zhao et al.   MATERIALS & DESIGN

Fatigue performance evaluation of selective laser melted Ti–6Al–4V

(2014) P. Edwards et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Finite element implementation of multiaxial continuum damage mechanics for plain and fretting fatigue

(2012) T. Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Modelling and Pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm

(2012) Mohammad Hasan Shojaeefard et al.   MATERIALS & DESIGN

Additive manufactured AlSi10Mg samples using Selective Laser Melting (SLM): Microstructure, high cycle fatigue, and fracture behavior

(2011) Erhard Brandl et al.   MATERIALS & DESIGN