GPU-based discrete element model of realistic non-convex aggregates: Mesoscopic insights into ITZ volume fraction and diffusivity of concrete

Xu, Wenxiang; Jia, Mingkun; Guo, Weiqi; Wang, Wei; Zhang, Bin; Li, Yong; Jiang, Jinyang

doi:10.1016/j.cemconres.2022.107048

Cited by 43 publications

(6 citation statements)

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“…To remove the wall effect of the initial distribution of cement and fly ash particles, the periodic boundary condition is introduced [35]. The specific steps in the reconstruction of fresh cement paste are as follows:…”

Section: Reconstruction Of Microstructure Of Fly Ash Cement Paste Hyd...mentioning

confidence: 99%

“…Figure 14a represents a cubic unit of fly ash cement paste at 28 days with the simulated unit size of 50 µm. When R = 100 µm, by introducing periodic boundary conditions for Brownian motion [35], the Brownian particle follows a certain movement path within the simulated unit as shown in Figure 14b based on an established motion path. According to the path data, it is shown that the movement path traverses the four faces of the simulated element.…”

Section: Prediction Of Chloride Diffusivity Of Fly Ash Cement Pastementioning

confidence: 99%

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Experimental Investigation and Numerical Model for Chloride Diffusivity of Long-Age Fly Ash Cement Slurry

Chen,

Qi,

Jia

et al. 2023

Sustainability

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Fly ash is a by-product of coal-fired thermal power plants and offers great potential for the use of resources. To effectively improve the durability of reinforced concrete structures in marine environment and achieve waste to treasure, fly ash is widely used as a pozzolanic material due to its long-hydration characteristics and effects of micro-aggregate, micro-filling and secondary hydration. In this study, both the experimental investigation and numerical simulation are carried out to study the chloride transport characteristics of fly ash cement paste. The variation in chloride diffusivity with fly ash content, water-to-binder ratio and curing age up to 360 days is studied via accelerated conductivity measurement, and it is found that the above three experimental variables have a significant impact on the chloride diffusivity. For the influence of the dosage of fly ash, the optimum dosage is 30%. By introducing specific rules for the particle distribution, the fresh fly ash cement paste is first made. Based on the volume change characteristics of fly ash and cement particles after hydration, the vector hydration model of fly ash cement paste is established by considering the water shortage effect caused by hydration layer interference. After the accuracy of this hydration model is verified by the results from third-party experiments, the random walk algorithm is proposed to calculate the diffusion coefficient of the reconstructed mineral admixture cement paste. By comprehensive comparison with the experimental results from the third-party and self-conducted experiments, the numerical model for predicting the chloride diffusivity of fly ash cement paste is verified.

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Section: Reconstruction Of Microstructure Of Fly Ash Cement Paste Hyd...mentioning

confidence: 99%

Section: Prediction Of Chloride Diffusivity Of Fly Ash Cement Pastementioning

confidence: 99%

Experimental Investigation and Numerical Model for Chloride Diffusivity of Long-Age Fly Ash Cement Slurry

Chen,

Qi,

Jia

et al. 2023

Sustainability

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“…The pore pressure can also be treated as the prestress (Yang et al., 2015). Moreover, the deformation and heat transfer abilities of porous media rely on the effective material properties, which in turn depend on the microstructure characteristics (Guo et al., 2022; Jiang et al., 2021; Xu et al., 2017, 2019, 2022, 2023), including the porosity, pore size distribution (PSD), and pore shape. Therefore, it is crucial to capture the origin of the freezing deformation of porous media under practical environmental conditions to understand the mechanism of freezing deterioration.…”

Section: Introductionmentioning

confidence: 99%

“…However, the poromechanics method adopted in previous studies is macroscopic, leading to the failure to consider the heterogeneous microstructures governing the freezing behavior. In fact, extensive research (Guo et al, 2022;Ikram et al, 2018;Jiang et al, 2021;Xu et al, 2017Xu et al, , 2019Xu et al, , 2022Xu et al, , 2023 has demonstrated that the effects of microstructure configurations on the effective properties and deformation of materials are very significant.…”

mentioning

confidence: 99%

New Insights Into Freezing Behavior of Saturated and Air‐Entrained Porous Media via a Micromechanics‐Based Thermo‐Hydro‐Mechanical Model

Guo

Wang

et al. 2023

Water Resources Research

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The freezing behavior of porous media, such as soils, rock, and cement-based materials, to name but a few, seriously endanger the safety of infrastructures in cold regions (Huang et al., 2022;Peng et al., 2016;Sheshukov & Nieber, 2011). Even though the famous air-entrainment method is normally used to reduce the severe swelling of porous media during freezing, frost damage is still a frequent occurrence (Beaudoin & MacInnis, 1974;Everett, 1961;Fagerlund, 1977). Actually, the freezing behavior of porous media is generated under a coupled thermo-hydro-mechanical (THM) condition at a low temperature and involves several complex aspects, such as microstructure characteristics and environmental factors. Specifically, part of the liquid water in confined pores gradually freezes and yields an important pore pressure during freezing, which not only induces the macroscopic deformation and microscopic porosity variation (i.e., mechanics field) but also changes the heat transfer (i.e., thermal field) and seepage (i.e., hydraulic pressure field) in porous media (Eriksson et al., 2018(Eriksson et al., , 2021. During the progressive freezing process of porous media, THM fields are fully coupled and provide three driving forces for freezing deformation (Coussy, 2005), namely, thermal stress, pore pressure, and stress induced by displacement or loading boundaries. The pore pressure can also be treated as the prestress (Yang et al., 2015). Moreover, the deformation and heat transfer abilities of porous media rely on the effective material properties, which in turn depend on the microstructure characteristics (

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“…GPU has an absolute advantage over CPU in the number of processors and threads. Therefore, GPU computing is very suitable for the field that requires large-scale parallel computing [18]. In 2009, Portland Group (PGI) and NVDIA jointly launched the CUDA Fortran compiler platform, which greatly expanded the ication range of GPU general purpose computing.…”

Section: Introductionmentioning

confidence: 99%

Research on the Application and Performance Optimization of GPU Parallel Computing in Concrete Temperature Control Simulation

Zheng,

Jin,

Wang

et al. 2023

Buildings

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With the development of engineering technology, engineering has higher requirements for the accuracy and the scale of simulation calculation. The computational efficiency of traditional serial programs cannot meet the requirements of engineering. Therefore, reducing the calculation time of the temperature control simulation program has important engineering significance for real-time simulation of temperature field and stress field, and then adopting more reasonable temperature control and crack prevention measures. GPU parallel computing is introduced into the temperature control simulation program of massive concrete to solve this problem and the optimization is carried out. Considering factors such as GPU clock rate, number of cores, parallel overhead and Parallel Region, the improved GPU parallel algorithm analysis indicator formula is proposed. It makes up for the shortcomings of traditional formulas that focus only on time. According to this formula, when there are enough threads, the parallel effect is limited by the size of the parallel domain, and when the parallel domain is large enough, the efficiency is limited by the parallel overhead and the clock rate. This paper studies the optimal Kernel execution configuration. Shared memory is utilized to improve memory access efficiency by 155%. After solving the problem of bank conflicts, an accelerate rate of 437.5× was realized in the subroutine of the matrix transpose of the solver. The asynchronous parallel of data access and logical operation is realized on GPU by using CUDA Stream, which can overlap part of the data access time. On the basis of GPU parallelism, asynchronous parallelism can double the computing efficiency. Compared with the serial program, the accelerate rate of inner product matrix multiplication of the GPU asynchronous parallel program is 61.42×. This study further proposed a theoretical formula of data access overlap rate to guide the selection of the number of CUDA streams to achieve the optimal computing conditions. The GPU parallel program compiled and optimized by the CUDA Fortran platform can effectively improve the computational efficiency of the simulation program for concrete temperature control, and better serve engineering computing.

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GPU-based discrete element model of realistic non-convex aggregates: Mesoscopic insights into ITZ volume fraction and diffusivity of concrete

Cited by 43 publications

References 100 publications

Experimental Investigation and Numerical Model for Chloride Diffusivity of Long-Age Fly Ash Cement Slurry

Experimental Investigation and Numerical Model for Chloride Diffusivity of Long-Age Fly Ash Cement Slurry

New Insights Into Freezing Behavior of Saturated and Air‐Entrained Porous Media via a Micromechanics‐Based Thermo‐Hydro‐Mechanical Model

Research on the Application and Performance Optimization of GPU Parallel Computing in Concrete Temperature Control Simulation

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