Reliability analysis of mixer structure under mixing simulation
When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the mixture. Structural static analysis usually ignores the randomness of the load, resulting in a large calculation error. Based on the EDEM software, this...
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Published in | IOP conference series. Materials Science and Engineering Vol. 1043; no. 2; pp. 22020 - 22035 |
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Language | English |
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01.01.2021
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Abstract | When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the mixture. Structural static analysis usually ignores the randomness of the load, resulting in a large calculation error. Based on the EDEM software, this paper simulates the mixing process of the mixture, obtains the random load data of the mixture on the mixing drum and the mixing parts, and describes the variation law of the random load with a probability distribution, establishes the stress-strength interference reliability model of the mixer structure, and Monte Carlo simulation method is used to solve the structural reliability of the mixer. The results show that the load distribution of the mixing arm is the same as the mixing blade, the load distribution follows the gamma distribution, and the mixing shaft also follows the gamma distribution; the load distribution of the mixing drum follows the normal distribution. After calculation, the above load probability distribution and its intensity distribution do not interfere, and the structural reliability of the mixer meets the requirements, which can ensure the safe operation of the mixer. This method solves the reliability calculation error caused by random loads. |
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AbstractList | When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the mixture. Structural static analysis usually ignores the randomness of the load, resulting in a large calculation error. Based on the EDEM software, this paper simulates the mixing process of the mixture, obtains the random load data of the mixture on the mixing drum and the mixing parts, and describes the variation law of the random load with a probability distribution, establishes the stress-strength interference reliability model of the mixer structure, and Monte Carlo simulation method is used to solve the structural reliability of the mixer. The results show that the load distribution of the mixing arm is the same as the mixing blade, the load distribution follows the gamma distribution, and the mixing shaft also follows the gamma distribution; the load distribution of the mixing drum follows the normal distribution. After calculation, the above load probability distribution and its intensity distribution do not interfere, and the structural reliability of the mixer meets the requirements, which can ensure the safe operation of the mixer. This method solves the reliability calculation error caused by random loads. Abstract When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the mixture. Structural static analysis usually ignores the randomness of the load, resulting in a large calculation error. Based on the EDEM software, this paper simulates the mixing process of the mixture, obtains the random load data of the mixture on the mixing drum and the mixing parts, and describes the variation law of the random load with a probability distribution, establishes the stress-strength interference reliability model of the mixer structure, and Monte Carlo simulation method is used to solve the structural reliability of the mixer. The results show that the load distribution of the mixing arm is the same as the mixing blade, the load distribution follows the gamma distribution, and the mixing shaft also follows the gamma distribution; the load distribution of the mixing drum follows the normal distribution. After calculation, the above load probability distribution and its intensity distribution do not interfere, and the structural reliability of the mixer meets the requirements, which can ensure the safe operation of the mixer. This method solves the reliability calculation error caused by random loads. |
Author | Luo, Zhun Yong, Liang Cheng, Hai-Ying |
Author_xml | – sequence: 1 givenname: Hai-Ying surname: Cheng fullname: Cheng, Hai-Ying email: chyktz@sina.com organization: Department of Mechanical Engineering,Inner Mongolia University of Technology of China , P.R. China – sequence: 2 givenname: Zhun surname: Luo fullname: Luo, Zhun organization: Department of Mechanical Engineering,Inner Mongolia University of Technology of China , P.R. China – sequence: 3 givenname: Liang surname: Yong fullname: Yong, Liang organization: Department of Mechanical Engineering,Inner Mongolia University of Technology of China , P.R. China |
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References | Peeters (MSE_1043_2_022020bib6) 2017; 71 Li (MSE_1043_2_022020bib2) 2006 Zhang (MSE_1043_2_022020bib1) 2000; 47 Sheng (MSE_1043_2_022020bib4) 2012; 27 Cheng (MSE_1043_2_022020bib13) 2012 Zhao (MSE_1043_2_022020bib10) 2018; 79 Li (MSE_1043_2_022020bib11) 2017; 19 Hidayat (MSE_1043_2_022020bib7) 2018; 21 Wessiani (MSE_1043_2_022020bib9) 2018; 237 Zhang (MSE_1043_2_022020bib5) 2017 Ho (MSE_1043_2_022020bib8) 2019 Huang (MSE_1043_2_022020bib12) 2018; 36 Hu (MSE_1043_2_022020bib3) 2015 |
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Snippet | When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the mixture.... Abstract When the forced two-horizontal shaft mixer is used to mix concrete, the mixing drum and the mixing components are subjected to random loads of the... |
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SubjectTerms | Load Load distribution (forces) Monte Carlo simulation Normal distribution Probability distribution Probability distribution functions Random loads Reliability analysis Reliability engineering Simulation Statistical analysis Stress concentration Structural reliability |
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Title | Reliability analysis of mixer structure under mixing simulation |
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