An enhanced Monte Carlo simulation–based design and optimization method and its application in the speed reducer design-Reference-Cited by-同舟云学术

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An enhanced Monte Carlo simulation–based design and optimization method and its application in the speed reducer design

Published:2017-09 Issue:9 Volume:9 Page:168781401772864
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Yuan Rong¹²,Li Haiqing³⁴,Gong Zicheng³,Tang Mingzhe³,Li Wei³

Affiliation:

1. School of Mechanical Engineering, Chengdu University, Chengdu, China

2. College of Architecture and Environment, Sichuan University, Chengdu, China

3. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. Key Laboratory of Fluid and Power Machinery, Xihua University, Chengdu, China

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814017728648

Reference35 articles.

1. Probabilistic framework for multiaxial LCF assessment under material variability

2. Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP

3. Structural reliability analysis based on probability and probability box hybrid model

4. Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels

5. Reliability-Based Multidisciplinary Design Optimization Using Subset Simulation Analysis and Its Application in the Hydraulic Transmission Mechanism Design

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