ANSYS

ANSYS offers a comprehensive software suite that spans the entire range of physics, providing access to virtually any field of engineering simulation that a design process requires. Organizations around the world trust ANSYS to deliver the best value for their engineering simulation software investment. Simulation-Driven Product Development takes engineering simulation to another level ― the unequalled depth and breadth of our software coupled with its unmatched engineered scalability, comprehensive multiphysics foundation and adaptive architecture set our technology apart from other CAE tools. These ANSYS Advantages add value to the engineering design process by delivering efficiency, driving innovation and reducing physical constraints, enabling simulated tests that might not be possible otherwise.


References in zbMATH (referenced in 641 articles )

Showing results 1 to 20 of 641.
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  1. Bharadwaj S., Anand; Ghosh, Santanu: Data reconstruction at surface in immersed-boundary methods (2020)
  2. Favetti, R.; Chiovaro, P.; Di Maio, P. A.; Spagnuolo, G. A.: Validation of multi-physics integrated procedure for the HCPB breeding blanket (2020)
  3. Jiménez Rios, Alejandro; O’Dwyer, Dermot: Numerical modeling of cob’s nonlinear monotonic structural behavior (2020)
  4. Kharghani, N.; Guedes Soares, C.: Experimental, numerical and analytical study of buckling of rectangular composite laminates (2020)
  5. Kulikov, Gennady M.: Application of strong SaS formulation and enhanced DQ method to 3D stress analysis of rectangular plates (2020)
  6. Li, Lei; Chang, Qi; Zhou, Changcong; Wang, Wenxuan; Zhang, Zheng: Sensitivity analysis-based optimization: a case study with the MTBF of an aeronautical hydraulic pipeline system (2020)
  7. Lolić, Damjan; Zupan, Dejan; Brojan, Miha: A consistent strain-based beam element with quaternion representation of rotations (2020)
  8. Michael Ortner; Lucas Gabriel; Coliado Bandeira: Magpylib: A free Python package for magnetic field computation (2020) not zbMATH
  9. Preethi, A. Angelin Peace; Karthigaikumar, P.: Micro-machined silicon accelerometer with piezoresistive SCR implementation for glucolysis (2020)
  10. Rodopoulos, Dimitrios C.; Gortsas, Theodore V.; Tsinopoulos, Stephanos V.; Polyzos, Demosthenes: Nonlinear BEM/FEM scalar potential formulation for magnetostatic analysis in superconducting accelerator magnets (2020)
  11. Shen, Xiaoqin; Yang, Qian; Li, Linjin; Gao, Zhiming; Wang, Tiantian: Numerical approximation of the dynamic Koiter’s model for the hyperbolic parabolic shell (2020)
  12. Wang, Yanan; Hu, Zhiwei; Thompson, David: Numerical investigations on the flow over cubes with rounded corners and the noise emitted (2020)
  13. Xu, George; Lim, Arthur; Gopalan, Harish; Lou, Jing; Poh, Hee Joo: CFD simulation of chemical gas dispersion under atmospheric boundary conditions (2020)
  14. Dagli, Begum Yurdanur; Ergut, Abdulkerim: Dynamics of fluid conveying pipes using Rayleigh theory under non-classical boundary conditions (2019)
  15. Das, Pramode K.; Anand, D. Vijay; Shaiju, A. J.; Patnaik, B. S. V.: Suboptimal control of circular cylinder wakes using van der Pol oscillator (2019)
  16. Gu, X. J.; Hao, Y. X.; Zhang, W.; Liu, L. T.; Chen, J.: Free vibration of rotating cantilever pre-twisted panel with initial exponential function type geometric imperfection (2019)
  17. Hafien, Chedhli; Mbarek, Talel Ben: Reduced order model for the lift coefficient of an airfoil equipped with extrados and/or trailing edge flexible flaps (2019)
  18. Hao, Wenxing; Ding, Qinwei; Li, Chun: Optimal performance of adaptive flap on flow separation control (2019)
  19. Hassan, Muhammad; Ahmad, Khurshid; Rafique, Muhammad; Cai, Wenjian; Lu, Huilin: Computational fluid dynamics analysis of the circulation characteristics of a binary mixture of particles in an internally circulating fluidized bed (2019)
  20. Iovane, G.; Nasedkin, A. V.: Numerical modelling of two-phase piezocomposites with interface mechanical anisotropic effects (2019)

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