Siemens PLM NX Nastran 9.0 Win64 [2013, ENG]

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Siemens PLM NX Nastran 9.0 Win64 [2013, ENG] (Size: 821.61 MB)
  NX_Nastran_9.0_Win64.isz 741.28 MB
  _SolidSQUAD_
  em64tnt
  adina
  libnxn.dll 751.5 KB
  analysis.dmp.exe 19.46 MB
  analysis.exe 19.13 MB
  libups_cl.dll 743 KB
  em64tntl
  adina
  libnxn.dll 751.5 KB
  analysis.dmp.exe 19.57 MB
  analysis.exe 19.24 MB
  libups_cl.dll 743 KB
  readme.txt 447 B

Description


Программы и Дизайн » Системы для бизнеса, офиса, научной и проектной работы » САПР (общие и машиностроительные)

Siemens PLM NX Nastran 9.0 Win64 [2013, ENG]

Год/Дата Выпуска: 2013
Версия: 9.0
Разработчик: Siemens PLM Automation
Сайт разработчика: www.plm.automation.siemens.com/en_us/products/nx/9-0/for-simulation/nx-nastran.shtml

Разрядность: 64bit
Язык интерфейса: Английский
Таблэтка: Присутствует (Team-SolidSQUAD)
Системные требования: Windows 64-bit
Описание: Набор решателей Nastran oт Siemens PLM.
NX Nastran solves structural analysis problems for linear and nonlinear analysis, dynamic response, rotor dynamics, aeroelasticity and optimization. The NX Nastran 9.0 release further increases the types of solutions you can perform, along with a number of computational performance and engineering workflow improvements as highlighted by the examples below:
Discipline and Physical Domain Extension
NX 9.0 - Simulation - Nastran - Discipline and Physical Domain Extension
Speed-dependent bearing properties for rotor dynamics allow you to more realistically simulate bearings in rotating systems, such as aircraft engines. Properties of the bearing are speed-dependent and support the inherent cross-directional coupling stiffness and viscous damping.
Greater flexibility to model multi-rotor systems allows you to describe speeds of all rotors independently. This means you can model multiple rotors to have more complex rotor speed functions that are not simply fixed ratios between each other.
Frequency-dependent acoustic absorbers characterize absorbing material as fluid with equivalent properties. This results in a less computationally intensive solution than direct modeling.
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