OPTIMUS
LMS Virtual Lab
VL.Optimization
NOESIS Optimus
NOESIS PLM Optimization
Vurtual Lab Optimization | 최적설계
Standard Optimization Configuration
  다양한 DOE기법을 사용으로 인한 Virtual.Lab을 사용한 기능 성능의 시뮬레이션 시 최적 설계가 가능 하도록 모든 필요 도구를 제공합니다.
일반 구속 문제 해결을 위한 최적 설계 알고리즘 - Sequential Quadratic Programming과 Generalized Reduced Gradient 이 제공됨.
Virtual.Lab 최적 설계를 위한 입력 변수와 출력에 대한 정의
 
 각 Attribute 별 입력변수 :
  모든 CATIA 변수: 모든 모듈에 공통으로 사용됨.
Design parameters (lengths, thickness, radius,..) as well as CAE parameters from the CATIA CAE Analysis tools (GPS, GAS, FMS,..)
LMS Virtual.Lab Noise and Vibration:
mount flexibility of an assembly,
modification sets (mass modification, spring-damper modification,..) of an FRF-based or       Modal-based modification analysis.
      Both are representing ideal inputs for an optimization as the corresponding       simulations are fast.
Shell and Beam Properties
Material Properties
In case linked to CATIA: all CATIA parameters are available
Locations of IO points: e.g. where to apply a force
Solution parameters: frequency values, algorithm settings
   
LMS Virtual.Lab Acoustics:
Absorbant boundary conditions: absorbing fluid properties, absorbing panel properties
Transfer relations (admittance)
Acoustic boundary conditions: panel normal displacements, acoustic pressures,…
In case linked to CATIA: all CATIA parameters are available
Field Point Mesh definition
Solution parameters: frequency values, algorithm settings
   
LMS Virtual.Lab Motion:
Virtually ALL Motion inputs are available as input parameters: bushing stiffnesses,         constraints,…
In case linked to CATIA: all CATIA parameters are available LMS Virtual.Lab Durability:
In case linked to CATIA: all CATIA parameters are available


 출력 변수:
Ioutputs(i.e. sensors)값에서, 다음과 같은 유용한 부분을 찾아볼 수 있다:
Load functions and response functions can provide sensors.
Pressure, velocity, displacements, acceleration, stress,…
Frequency Domain
Time Domain
        - 1 E.g. the force during a bump event of a car from Motion
        - 2 Local stresses in a component

RMS Value in specified frequency band
Min and Max values in specified frequency band
Linear averaged values in specified frequency band
   
Vector based results (e.g. acoustic pressure on the field points) can be converted into Load or Response functions which then can provide sensors
   
From Motion expressions, sensors can be created.