Time-dependent behavior of porous curved nanobeam

Xu, Xianbin; Karami, Behrouz; Shahsavari, Davood

doi:10.1016/j.ijengsci.2021.103455

Cited by 77 publications

(33 citation statements)

References 89 publications

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“…In philosophy, the principle of quantitative change and qualitative change tells us that the accumulation of quantitative change will lead to qualitative change [16]. is is manifested in nanoparticles; that is, the quantitative change of particle size will also produce qualitative change of particle properties to a certain extent.…”

Section: Small Size Effectmentioning

confidence: 99%

Preparation of High-Refractive-Index Flexible Nanoparticle Laser Engraving Materials and Micro-Nano Sculpture Art

Guo¹,

Huang²,

Li³

2022

Advances in Materials Science and Engineering

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The continuous development of nanotechnology has brought new trends of thought and new impetus to sculpture art. In the field of microengraving, people usually use two-photon engraving technology, but not every particle conforms to the engraving process. ZnO nanoparticles have a high refractive index and are extremely flexible, making them the material of choice for laser engraving. This article aims to investigate whether the incorporation of high-refractive-index flexible nanoparticles into engraving techniques can significantly improve the functional properties of products. This paper firstly introduces the preparation methods of common nanoparticle laser engraving materials and then describes simple micro-nano sculptures on this basis. Finally, experiments on the transmittance and refractive index of ZnO nanoparticles are carried out. The experimental results show that the refractive index and transmittance of this material are 1.7 and 1.039, respectively, which is very suitable for laser engraving.

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Section: Small Size Effectmentioning

confidence: 99%

Preparation of High-Refractive-Index Flexible Nanoparticle Laser Engraving Materials and Micro-Nano Sculpture Art

Guo¹,

Huang²,

Li³

2022

Advances in Materials Science and Engineering

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“…Cement-based composite materials refer to Portland cement as the matrix and alkali-resistant glass fibers, generalpurpose synthetic fibers, various ceramic fibers, highperformance fibers such as carbon and aramid, metal wires, and natural plant fibers and mineral fibers as reinforcements, a composite material formed by adding fillers, chemical additives, and water through a composite process [23,24]. This shows that the current concrete-based architectural design ideas can be improved, and environmentally friendly, novel solutions can be added to match the nanocomposite materials that meet the quality requirements.…”

Section: Experimental Significancementioning

confidence: 99%

Nanocomposite Building Materials in Modern Architectural Design

Zhao

2022

Journal of Nanomaterials

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Architecture is the precipitation of history, not only the embodiment of technical level but also the inheritance of history and culture. Excellent architecture contains high historical value and emotional factors, and it continues to deepen over time. Nanotechnology is a new technology that was born in the late 1980s and is emerging. It mainly refers to the study of the laws of motion and interactions of electrons, atoms, and molecules in the composition system of matter in the range of 0.1 to 100 nm. Nanomaterials have special properties and structures, and the composite materials made of them have the effect of strengthening and toughening the polymer by virtue of their high-quality strength and toughness. Therefore, the aim of this text is to explore the application of nanocomposite building materials in modern architectural design and analyze the advantages and development trends of new building materials. The method in this paper is to use the method of experimental comparison to analyze the performance improvement effect of nanocomposite building materials on the current main building materials of concrete. By establishing a model to study the impact on the shrinkage and mechanical properties of cement-based materials, it can also improve the environmental performance and comprehensive evaluation of building materials. Corresponding conclusions are drawn through data comparison. When the amount of nanocomposite building materials is 1.5%, the chemical shrinkage value of the cement paste will increase by 58.2%, and the shrinkage strain will increase by 15.3%. When the fly ash content is 20%, the chemical shrinkage value of cement paste is reduced by 30.5%, and the shrinkage strain of concrete is reduced by 8.8%. Therefore, adding nanocomposite building materials to cement-based materials can promote cement hydration, optimize pore structure, and to a certain extent can make up for the shortcomings of mineral admixtures and achieve better improvement effects.

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“…ANN can make accurate predictions through a mass of data [21]. Yang et al [22] established a turbidity early warning system using ANN and probability analysis.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Construction and Application of Recognition Model for Black‐Odorous Water Bodies Based on Artificial Neural Network

Dai

Wang

et al. 2021

Advances in Civil Engineering

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In the water environment, construction, and civil engineering industries, digital twins have gradually become a popular solution in recent years, and in digital twins, accurate data prediction and category recognition are important parts of it. Artificial neural network (ANN), a widely used data-driven model, can accurately identify nonlinear relationships in the water environment. In this paper, a recognition model for black-odorous water bodies based on ANN was established to directly identify the sensory description of water bodies. This study used water quality data and sensory description (color and odor) as samples to train backpropagation (BP) neural networks. The training results show that the accuracy of the color and odor models reaches 86.7% and 85.8%, respectively. It can thus be suggested that the sensory description can be accurately recognized by BP neural network. The application results indicate that all seven rivers had black-odorous phenomenon within a year. The recognition models have been instrumental in water resource management. Meanwhile, the models provide a reference for the evaluation and early warning of black-odorous water bodies in other regions.

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Time-dependent behavior of porous curved nanobeam

Cited by 77 publications

References 89 publications

Preparation of High-Refractive-Index Flexible Nanoparticle Laser Engraving Materials and Micro-Nano Sculpture Art

Preparation of High-Refractive-Index Flexible Nanoparticle Laser Engraving Materials and Micro-Nano Sculpture Art

Nanocomposite Building Materials in Modern Architectural Design

Construction and Application of Recognition Model for Black‐Odorous Water Bodies Based on Artificial Neural Network

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