Meso-scale investigations on the effective thermal conductivity of multi-phase materials using the finite element method

Li, Kai-Qi; Li, Dianqing; Liu, Yong

doi:10.1016/j.ijheatmasstransfer.2020.119383

Cited by 132 publications

(41 citation statements)

References 45 publications

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“…(1) PSO was successfully used to identify parameters of the meso random damage model for the FCMS during F-T cycles, retaining wall design [27], concrete frame design [28] and bridge engineering [29,30]. However, civil engineering materials are polyphase materials [37][38][39] and are based on the no free lunch theorem [31]. Whether PSO theory is suitable for other fields of civil engineering remains to be studied.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Freeze–Thaw Damage Model of Polypropylene Fiber Reinforced Cement Stabilized Waste Construction Slurry under Uniaxial Action

et al. 2021

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In order to apply the fiber reinforced cement stabilized waste construction slurry more widely, it is crucial to evaluate its mechanical behavior under freeze and thaw (F–T) cycles. The mechanical properties of fiber cement-modified waste construction slurry (FCMS) under five different F–T cycles were studied using unconfined compressive strength tests. One fixed cement sample with five different types of polypropylene fiber was used in the FCMS. Using the meso random damage model, the two-stage damage stress–strain relationship of FCMS was established using particle swarm optimization (PSO). The results were as follows: (1) The mechanical properties of FCMS at room temperature and in an F–T environment were significantly improved by fiber; (2) The elastic modulus of FCMS decreased in the form of a power function with the increase of F–T cycles; (3) The fitting results of the two-stage F–T damage model based on meso random damage theory were in agreement with the measured data.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Freeze–Thaw Damage Model of Polypropylene Fiber Reinforced Cement Stabilized Waste Construction Slurry under Uniaxial Action

et al. 2021

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“…As the amount of added CB increased, volume expansion of the carbon blocks decreased. In general, the carbon block was expanded by gases generated from the evaporation of low molecular weight compounds contained in the pitch during the carbonization process [28][29][30]. The carbon block with coal-tar pitch (binder pitch) also showed volume expansion, and the volume expansion of C_CB_0 was the highest (38.4%) among all samples.…”

Section: Volume Expansion and Porosity Control Of Carbon Block By Cb mentioning

confidence: 99%

The Control of Volume Expansion and Porosity in Carbon Block by Carbon Black (CB) Addition for Increasing Thermal Conductivity

et al. 2020

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The graphite block as a phase change materials (PCMs) was manufactured by graphitization of a carbon block. Carbon blocks were prepared by filler (cokes or graphite) and binder (pitch). The binder-coated filler was thermally treated for carbonization. The gases generated from the evaporation of low molecular weight components in the binder pitch during the carbonization process were not released to the outside. Consequently, porosity and volume expansion were increased in artificial graphite, and thereby the thermal conductivity decreased. In this study, to prevent the decrease of thermal conductivity in the artificial graphite due to the disadvantages of binder pitch, the carbon block was prepared by the addition of carbon black, which can absorb low molecular weight compounds and release the generated gas. The properties of the prepared carbon blocks were analyzed by SEM, TGA, and thermal conductivity. The addition of carbon black (CB) decreased the porosity and volume expansion of the carbon blocks by 38.3% and 65.9%, respectively, and increased the thermal conductivity by 57.1%. The CB absorbed the low molecular weight compounds of binder pitch and induced the release of generated gases during the carbonization process to decrease porosity, and the thermal conductivity of the carbon block increased.

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“…We derived the characteristics of the fractures (location, orientation, trace length, and density) in the cross section from those features measured across the exposed surface. Subsequently, the 2D fracture traces were generated using Monte Carlo simulation by synthesizing the aforementioned characteristics (Li et al, 2020). The specific processes are clearly described in the research of Zhang et al (2017) and are briefly introduced as follows.…”

Section: Data Acquisition and Dfn Generationmentioning

confidence: 99%

Stability evaluation and potential failure process of rock slopes characterized by non-persistent fractures

Wen

Wang

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Slope failure, which causes destructive damage and fatalities, is extremely common in mountainous areas. Therefore, the stability and potential failure of slopes must be analysed accurately. For most fractured rock slopes, the complexity and random distribution of structural fractures make the aforementioned analyses considerably challenging for engineers and geologists worldwide. This study aims to solve this problem by proposing a comprehensive approach that combines the discrete fracture network (DFN) modelling technique, the synthetic rock mass (SRM) approach, and statistical analysis. Specifically, a real fractured rock slope in Laohuding Quarry in Jixian County, China, is studied to show this comprehensive approach. DFN simulation is performed to generate non-persistent fractures in the cross section of the slope. Subsequently, the SRM approach is applied to simulate the slope model using 2D particle flow code software (PFC2D). A stability analysis is carried out based on the improved gravity increase method, emphasizing the effect of stress concentration throughout the formation of the critical slip surface. The collapse, rotation, and fragmentation of blocks and the accumulation distances are evaluated in the potential failure process of the rock slope. A total of 100 slope models generated with different DFN models are used to repeat the aforementioned analyses as a result of a high degree of variability in DFN simulation. The critical slip surface, factor of safety, and accumulation distance are selected by statistical analysis for safety assurance in slope analysis and support.

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Meso-scale investigations on the effective thermal conductivity of multi-phase materials using the finite element method

Cited by 132 publications

References 45 publications

Freeze–Thaw Damage Model of Polypropylene Fiber Reinforced Cement Stabilized Waste Construction Slurry under Uniaxial Action

Freeze–Thaw Damage Model of Polypropylene Fiber Reinforced Cement Stabilized Waste Construction Slurry under Uniaxial Action

The Control of Volume Expansion and Porosity in Carbon Block by Carbon Black (CB) Addition for Increasing Thermal Conductivity

Stability evaluation and potential failure process of rock slopes characterized by non-persistent fractures

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