Abaqus2Matlab is continuously attracting users from all over the world, which demonstrates the diversity of its technical capabilities. This new application gives its users the opportunity to see the breadth of its possible applications, such as finite element modeling, materials, multiphysics, NVH, multibody simulation, durability, fatigue, medical devices, electromagnetics, structural & thermomechanical fatigue, additive manufacturing, simulation for designers and many more!
Of course, Abaqus2Matlab's most important asset is its users and the problems that it solves. We are proud that Abaqus2Matlab has been already referenced in the literature 15 times within 20 months from its first release, and the most important thing is that these studies include non-self citations of the software.
Below one can see the publications that have used Abaqus2Matlab in chronological order:
1, Jalili, M; Soltani, B; Investigation the micromechanisms of strain localization formation in AZ31 Mg alloy: A mesoscale 3D full-field crystal plasticity computational homogenization study, European Journal of Mechanics-A/Solids, 2020, Elsevier,
4, Papazafeiropoulos, George; Vu, Quang-Viet; Truong, Viet-Hung; Luong, Minh-Chinh; Pham, Van-Trung; Prediction of buckling coefficient of stiffened plate girders using deep learning algorithm, CIGOS 2019, Innovation for Sustainable Infrastructure, 2020, Springer,
5, Nordmann, Joachim; Naumenko, Konstantin; Altenbach, Holm; Cohesive Zone Models—Theory, Numerics and Usage in High-Temperature Applications to Describe Cracking and Delamination, Advances in Mechanics of High-Temperature Materials, 2020, Springer,
6, Bassetti, Matteo; Belleri, Andrea; Marini, Alessandra; Dynamic instability of axially loaded elements: General considerations and seismic loading, Journal of Constructional Steel Research, 2020, Elsevier,
9, Kumbhar, Pramod Y; Francis, A; Swaminathan, N; Annabattula, RK; Natarajan, S; Development of user element routine (UEL) for cell-based smoothed finite element method (CSFEM) in Abaqus, International Journal of Computational Methods, 2020, World Scientific,
10, Martínez-Pañeda, Emilio; Harris, Zachary D; Fuentes-Alonso, Sandra; Scully, John R; Burns, James T; On the suitability of slow strain rate tensile testing for assessing hydrogen embrittlement susceptibility, Corrosion Science, 2020, Elsevier,
11, Nordmann, Joachim; Naumenko, Konstantin; Altenbach, Holm; Cohesive Zone Models—Theory, Numerics and Usage in High-Temperature Applications, Advances in Mechanics of High-Temperature Materials, 2019, Springer,
14, Muñiz-Calvente, Miguel; Venta-Viñuela, Lucas; Álvarez-Vázquez, Adrián; Fernández Fernández, Pelayo; Lamela Rey, María Jesús; Fernández Canteli, Alfonso; A Probabilistic Approach to Assessing and Predicting the Failure of Notched Components, Materials, 2019, Multidisciplinary Digital Publishing Institute,
16, Seifert, David Ryan; Chapkin, Wesley A; Frank, Geoffrey; Baur, Jeffrey; Design, Fabrication, and Testing of Optimized Flexible Cylinders, Smart Materials, Adaptive Structures and Intelligent Systems, 2019, American Society of Mechanical Engineers,
18, Li, Yi-bo; Pan, Qing; Huang, Ming-hui; Li, Lu; Set-based parametric modeling, buckling and ultimate strength estimation of stiffened ship structures, Journal of Central South University, 2019, Springer,
19, Omran, Lamia Nabil; Ezzat, Kadry Ali; Elhoseny, Mohamed; Hassanien, Aboul Ella; Biomechanics of artificial intervertebral disc with different materials using finite element method, Soft Computing, 2019, Springer,
21, Wallace, Chase A; Saha, Gobinda C; Afzal, Muhammad T; Lloyd, Alan; Experimental and computational modeling of effective flexural/tensile properties of microwave pyrolysis biochar reinforced GFRP biocomposites, Composites Part B: Engineering, 2019, Elsevier,
23, Dhari, Rahul Singh; Patel, Nirav P; Wang, Hongxu; Hazell, Paul J; Progressive damage modeling and optimization of fibrous composites under ballistic impact loading, Mechanics of Advanced Materials and Structures, 2019, Taylor & Francis,
25, Quintana, C; Rodríguez, C; Belzunce, FJ; Caballero, AC; Baudín, C; Ceramic materials characterization using miniature mechanical tests: comparison between B3B and SPT tests, Journal of the European Ceramic Society, 2019, Elsevier,
26, Muniz‐Calvente, Miguel; Ramos, Alberto; Fernández, Pelayo; Lamela, María Jesús; Álvarez, Adrián; Fernández‐Canteli, Alfonso; Probabilistic failure analysis for real glass components under general loading conditions, Fatigue & Fracture of Engineering Materials & Structures, 2019, Wiley Online Library,
27, Kristensen, Philip K; Martínez-Pañeda, Emilio; Phase field fracture modelling using quasi-Newton methods and a new adaptive step scheme, Theoretical and Applied Fracture Mechanics, 2019, Elsevier,
28, Franciosa, Pasquale; Palit, Arnab; Gerbino, Salvatore; Ceglarek, Darek; A novel hybrid shell element formulation (QUAD+ and TRIA+): A benchmarking and comparative study, Finite Elements in Analysis and Design, 2019, Elsevier,
29, Sharma, Arun K; Bhattacharya, Bishakh; Parameter estimation of butyl rubber aided with dynamic mechanical analysis for numerical modelling of an air-inflated torus and experimental validation using 3D-laser Doppler vibrometer, Journal of Low Frequency Noise, Vibration and Active Control, 2019, SAGE Publications Sage UK: London, England,
30, Wang, XF; Han, R; Tao, J; Han, TL; Zhu, GM; Tang, JN; Han, NX; Xing, F; Identification of mechanical parameters of urea-formaldehyde microcapsules using finite-element method, Composites Part B: Engineering, 2019, Elsevier,
31, Martínez-Pañeda, Emilio; Deshpande, Vikram S; Niordson, Christian F; Fleck, Norman A; The role of plastic strain gradients in the crack growth resistance of metals, Journal of the Mechanics and Physics of Solids, 2019, Elsevier,
32, Vu, Quang-Viet; Papazafeiropoulos, George; Graciano, Carlos; Kim, Seung-Eock; Optimum linear buckling analysis of longitudinally multi-stiffened steel plates subjected to combined bending and shear, Thin-Walled Structures, 2019, Elsevier,
33, Zhang, Hongjia; Jérusalem, Antoine; Salvati, Enrico; Papadaki, Chrysanthi; Fong, Kai Soon; Song, Xu; Korsunsky, Alexander M; Multi-scale mechanisms of twinning-detwinning in magnesium alloy AZ31B simulated by crystal plasticity modeling and validated via in situ synchrotron XRD and in situ SEM-EBSD, International Journal of Plasticity, 2019, Elsevier,
34, El Haj, Abdul-Kader; Soubra, Abdul-Hamid; Fajoui, Jamal; Probabilistic analysis of an offshore monopile foundation taking into account the soil spatial variability, Computers and Geotechnics, 2019, Elsevier,
36, Vu, Quang-Viet; Truong, Viet-Hung; Papazafeiropoulos, George; Graciano, Carlos; Kim, Seung-Eock; Bend-buckling strength of steel plates with multiple longitudinal stiffeners, Journal of Constructional Steel Research, 2019, Elsevier,
38, El Haj, Abdul-Kader; Soubra, Abdul-Hamid; Fajoui, Jamal; Al-Bittar, Tamara; Al Kobeh, Liban; Probabilistic model of an offshore monopile foundation taking into account the soil spatial variability, Proceedings of the 54th ESReDA Seminar, 2018,,
44, Vantadori, Sabrina; Muñiz-Calvente, Miguel; Scorza, Daniela; Fernández-Canteli, Alfonso; Vázquez, Adrián Álvarez; Carpinteri, Andrea; The Generalised Local Model applied to Fibreglass, Composite Structures, 2018, Elsevier,
49, Schwaner, Stephen A; Kight, Alison M; Perry, Robert N; Pazos, Marta; Yang, Hongli; Johnson, Elaine C; Morrison, John C; Burgoyne, Claude F; Ross Ethier, C; A methodology for individual-specific modeling of rat optic nerve head biomechanics in glaucoma, Journal of biomechanical engineering, 2018, American Society of Mechanical Engineers Digital Collection,
50, Turnbull, Heather; Omenzetter, Piotr; Comparison of two optimization algorithms for fuzzy finite element model updating for damage detection in a wind turbine blade, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 2018, International Society for Optics and Photonics,
52, Kumbhar, Pramod Y; Francis, Amrita; Swaminathan, Narasimhan; Annabattula, Ratna Kumar; Natarajan, Sundararajan; An Abaqus UEL implementation of the smoothed finite element method, arXiv preprint arXiv:1711.09829, 2017,,
55, Coniglio, Simone; Gogu, Christian; Amargier, Rémi; Morlier, Joseph; Pylon and engine mounts performance driven structural topology optimization, World Congress of Structural and Multidisciplinary Optimisation, 2017, Springer,
57, Muniz-Calvente, Miguel; De Jesus, AMP; Correia, José Antonio Fonseca de Oliveira; Fernández-Canteli, A; A methodology for probabilistic prediction of fatigue crack initiation taking into account the scale effect, Engineering fracture mechanics, 2017, Elsevier,
59, Blasón, S; Muniz-Calvente, Miguel; Koller, Roland; Przybilla, C; Fernández-Canteli, A; Probabilistic assessment of fatigue data from shape homologous but different scale specimens. Application to an experimental program, Engineering Fracture Mechanics, 2017, Elsevier,
60, Portugal, Ibai; Olave, Mireia; Zurutuza, Aitor; López, Arkaitz; Muñiz-Calvente, Miguel; Fernández-Canteli, Alfonso; Methodology to evaluate fatigue damage under multiaxial random loading, Engineering Fracture Mechanics, 2017, Elsevier,
61, Muniz‐Calvente, M; Fernández‐Canteli, A; Pyttel, B; Castillo, E; Probabilistic assessment of VHCF data as pertaining to concurrent populations using a Weibull regression model, Fatigue & Fracture of Engineering Materials & Structures, 2017, Wiley Online Library,
66, Muñiz-Calvente, M; Pelayo, F; Vázquez, A Álvarez; Martinho, A; McKenna, J; Lamela, MJ; Salazar, A; Pintado, JM; Fernández-Canteli, A; METODOLOGÍA PARA LA CARACTERIZACIÓN PROBABILÍSTICA DE POLÍMEROS,,,,
Abaqus2Matlab results have been published in the literature by users from various universities and institutes in all five continents of the globe.
The potential benefits of engineering simulation are recognized at the highest level of management in the industry, and many companies have listed "engineering simulation and computational modeling" as an enabling technology and a pillar in their technology portfolio.
Abaqus2Matlab paves the way towards an environment where simulation will have broader applications in every segment in the industry from upstream to downstream sectors and the impact to product development and field operation will be tremendous, with reduction in physical tests.
What about you?