Stochastic inversion method for dynamic constitutive model of rock materials based on improved DREAM

Zhai, Yue; Zhao, Runze; Li, Yubai; Li, Yan; Meng, Fandong; Wang, Tienan

doi:10.1016/j.ijimpeng.2020.103739

Cited by 8 publications

(2 citation statements)

References 37 publications

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“…where D T represents the thermal damage factor, and E T and E 0 represent the dynamic elastic modulus of polypropylene concrete under high-temperature conditions and at room temperature, respectively. It is well documented [39][40][41] that when materials fail under impact load, it is a time process where microdefects or microdamage evolve at a certain rate, meaning that the size of the broken material after damage decreases as the loading strain rate increases [42], which is caused by the increase in the number of microcracks that develop during failure. The experimental dynamic impact compression results for polypropylene fiber concrete showed that the damage and failure of the polypropylene fiber concrete under the impact load also conforms to this rule and shows obvious strain rate effect, indicating that the damage and failure of polypropylene fiber concrete under the impact load have a direct relationship with the strain rate.…”

Section: Damage Variablementioning

confidence: 99%

Study on Dynamic Constitutive Model of Polypropylene Concrete under Real-Time High-Temperature Conditions

Liu

et al. 2022

Applied Sciences

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Polypropylene (PP) concrete, a kind of high-performance fiber-reinforced concrete, is widely used in large concrete structures. Studies on the dynamic mechanical properties of polypropylene concrete under temperature–impact load can provide a theoretical basis for research on the structural stability of concrete structures during fires, explosions, and other disasters. The purpose of this paper was to study the dynamic mechanical properties of polypropylene concrete under real-time high-temperature conditions and to establish a dynamic damage constitutive model for polypropylene concrete under real-time high-temperature conditions. In this paper, Split Hopkinson Pressure Bar (SHPB) equipment was used to test the dynamic mechanical properties of polypropylene concrete with different high strain rates under different real-time high temperatures (room temperature, 100 °C, 200 °C, 300 °C, 400 °C, 500 °C, 600 °C, 700 °C, and 800 °C). A modified “Z-W-T” model was used to determine the recursion of the dynamic damage constitutive model of polypropylene concrete under different temperature–impact loads, and the model was compared with the experimental data. The results show that the thermal conditions influenced the chemical composition and microstructure of the polypropylene fiber concrete, which was why the high temperatures had a strong influence on the dynamic mechanical properties of polypropylene concrete. When the heating temperature exceeded 300 °C, although the polypropylene concrete specimen was still able to maintain a certain strength, the dynamic mechanical properties showed a deterioration trend as the temperature increased. The comparation between the experimental data and the fitting curve of the dynamic damage constitutive model showed that the dynamic stress–strain curves could be well matched with the fitting curves of the dynamic damage constitutive model, meaning that this model could describe the dynamic mechanical properties of polypropylene concrete under different real-time high temperatures well.

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Section: Damage Variablementioning

confidence: 99%

Study on Dynamic Constitutive Model of Polypropylene Concrete under Real-Time High-Temperature Conditions

Liu

et al. 2022

Applied Sciences

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“…It combines different powerful strategies, including a genetic algorithm for population evolution [32], self-adaptive randomized subspace sampling, and outlier chain detection [33], to quickly achieve convergence and seek the best solution by running multiple Markov chains. A wide range of applications has shown that DREAM exhibits excellent performance for complex problems with high-dimensionality, nonlinearity, numerous peaks, and large uncertainties in different research fields, including hydrology [34,35], chemistry [36,37], geophysics [38,39] and renewable energy technique [40], etc. However, to the authors' best knowledge, DREAM has not been investigated in SHM for civil infrastructures.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic damage detection and identification of coupled structural parameters using Bayesian model updating with added mass

Zeng

Kim

2022

Journal of Sound and Vibration

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A stochastic constitutive model and its application to HTPB propellant

Zhou,

Hui,

Zhao

et al. 2024

Propellants Explo Pyrotec

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To address the issue of randomness in the mechanical properties of the hydroxyl‐terminated polybutadiene (HTPB) propellant, a stochastic constitutive model (SCM) with a lognormally distributed random parameter Λ was proposed to describe their mechanical behaviors, and the structural integrity of a HTPB propellant grain was analyzed based on it. The results indicate that the stress‐strain curves predicted by the SCM have a good agreement with the experimental curves, and the experimental curves fall within a 95 % probability interval predicted by the SCM. The mechanical response of HTPB propellant grain under ignition pressurization is associated with the random parameters Λ. The maximum equivalent stress and safety factor increase approximately linearly with the increase of random parameters Λ, while the maximum equivalent strain and maximum damage coefficient decrease approximately linearly with the increase of random parameters Λ. The error in the mechanical response of the grain obtained based on the SCM and the experimental constitutive model is basically not more than 2 %, the SCM can effectively characterize the randomness in the mechanical response of propellant grain caused by the dispersion of HTPB propellant mechanical properties.

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Stochastic inversion method for dynamic constitutive model of rock materials based on improved DREAM

Cited by 8 publications

References 37 publications

Study on Dynamic Constitutive Model of Polypropylene Concrete under Real-Time High-Temperature Conditions

Study on Dynamic Constitutive Model of Polypropylene Concrete under Real-Time High-Temperature Conditions

Probabilistic damage detection and identification of coupled structural parameters using Bayesian model updating with added mass

A stochastic constitutive model and its application to HTPB propellant

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