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- 저자 : Xinyan Ma (검색결과 3 건)
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Swarm-based hybridizations of neural network for predicting the concrete strength
Xinyan Ma,Loke Kok Foong,Armin Morasaei,Aria Ghabussi,Zongjie Lyu 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.2
Due to the undeniable importance of approximating the concrete compressive strength (CSC) in civil engineering, this paper focuses on presenting four novel optimizations of multi-layer perceptron (MLP) neural network, namely artificial bee colony (ABC-MLP), grasshopper optimization algorithm (GOA-MLP), shuffled frog leaping algorithm (SFLA-MLP), and salp swarm algorithm (SSA-MLP) for predicting this crucial parameter. The used dataset consists of 103 rows of information concerning seven influential parameters (cement, slag, water, fly ash, superplasticizer, fine aggregate, and coarse aggregate). In this work, the bestfitted complexity of each ensemble is determined by a population-based sensitivity analysis. The GOA distinguished its self by the least complexity (population size = 50) and emerged as the second time-effective optimizer. Referring to the prediction results, all tested algorithms are able to construct reliable networks. However, the SSA (Correlation = 0.9652 and Error = 1.3939) and GOA (Correlation = 0.9629 and Error = 1.3922) performed more accurately than ABC (Correlation = 0.7060 and Error = 4.0161) and SFLA (Correlation = 0.8890 and Error = 2.5480). Therefore, the SSA-MLP and GOA-MLP can be promising alternatives to laboratorial and traditional CSC evaluative methods.
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Qiqi Luo,Xinyu Ye,Qiang Li,Sheng Zhang,Qian Yu,Xinyan Ma 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2
Silt is often selected as the filling soil in Northwest and North China. “Pot cover effect” or rainfall infiltration are easily to cause localized wetting during the service period of airport. The response characteristics of pavement derived from aircraft loading under wetting condition are the basis to explore the evolution law of pavement damage. To investigate this response characteristics for different parameters of pavement under wetting condition, a self-developed model test system was developed, and the verified numerical model was then established. The interaction mechanisms of pavement slabs, and the influence of wetting on mechanical response in loading area of pavement under different pavement parameters were analyzed. The results showed that the increased vertical deformation depends on water-holding capacity of silt, and the vertical deformation under loading is little affected by pavement parameters. The peak shear stress and the increased peak shear stress derived from wetting at the bottom of pavement layers are largely influenced by elastic modulus of base course. For cement concrete pavement, the increase in load transfer capacity of joints cannot decrease the increase of peak stress, including horizontal stress and shear stress, derived from wetting. The increase in load transfer capacity of joints can decrease the stress concentration in surface layer, while the elastic modulus of surface layer has little influence. For bituminous pavement, optimal parameters of base course can be obtained to decrease the peak stress and the increase of peak stress derived from wetting in subgrade. The research can provide technical basis for the structure design, optimization, and disease treatment of pavement in airport engineering.
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Porous membranes in pressure-assisted forward osmosis: Flux behavior and potential applications
Yang Yang,Xueli Gao,Zhaokui Li,Qun Wang,Senjie Dong,Xiaojuan Wang,Zhun Ma,Leyi Wang,Xinyan Wang,Congjie Gao 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.60 No.-
In this work, pressured-assisted forward osmosis (PAFO) was performed using porous membranes to achieve higher fluxes. The effects of additional pressure and membrane orientation on membrane performance were investigated. When ultralow additional pressure (0.04 bar) was applied, the water flux at AL-FS orientation (i.e. active layer facing the feed solution) was observed to double. Reverse solute diffusion was also inhibited dramatically at both membrane orientations in PAFO. Filtration tests revealed that porous membranes with ultralow pressure in FO were more applicable than ultrafiltration (UF) because mild condition (i.e., 0.12 bar versus 1.25 bar) is conducive to preserving microalgae cell integrity.
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