Scaling of An Impacted Reticulated Dome Using Partial Similitude Method

De-min, Wei; Hu, Chenxi

doi:10.1590/1679-78255342

Cited by 19 publications

(11 citation statements)

References 22 publications

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“…Poisson's ratio μ of the soil in the test is 0.35, the coefficient K � μ/(1 − μ) of the lateral pressure is 0.54, and the dimensionless index n � 2. Other similarity coefficients [29] based on the similarity principle are shown in Table 9.…”

Section: Comparison Of Our Prediction Model Results With Shakingmentioning

confidence: 99%

An Improved KNN‐Based Slope Stability Prediction Model

Huang

Lyu

2020

Advances in Civil Engineering

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An accurate slope prediction model is important for slope reinforcement before the disaster. The k-nearest neighbor (KNN) algorithm, as a simple and effective nonparametric machine learning method, is widely applied in classification recognition. In our study, the k-nearest neighbor (KNN) algorithm is improved to reduce its sample dependence and improve the robustness of the algorithm, and then the prediction model of the slope stability is proposed based on the improved k-nearest neighbor (KNN) algorithm. Extensive experimental results show that our proposed prediction model achieves high prediction performance in this regard. Moreover, a comparison between our proposed prediction model and the finite element method, which is the classical theoretical method of slope stability, was made, which will provide an important approach to predicting the slope stability for slope engineering. Finally, shaking table test of a slope model is conducted to evaluate whether the slope is stable or not, and the experimental results are in good agreement with the prediction results of our proposed prediction model, which further demonstrates its effectiveness.

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Section: Comparison Of Our Prediction Model Results With Shakingmentioning

confidence: 99%

An Improved KNN‐Based Slope Stability Prediction Model

Huang

Lyu

2020

Advances in Civil Engineering

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“…The dimension of the shaking table is 1.5m×1.5m, and the dimension of the model box is 0.5m (wide) ×2m (length) ×1.5m (height), and the test model is shown in Figure 17. The geometric similarity coefficient (Wei, Hu, 2019) is set as 1:50, and other specific similarity coefficients are shown in Table 4. 20mm thick sponge was laid on the inner wall of the model box to reduce reflection of seismic waves on the boundary.…”

Section: Shaking Table Testmentioning

confidence: 99%

Seismic resistance performance of a utility tunnel in saline soil foundation based on new cementitious composite materials

Huang¹,

Lyu²,

Wu³

et al. 2020

Lat. Am. j. solids struct.

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Because soluble salt in saline soil dissolves with water, utility tunnels built in saline soil foundation are more likely to damage due to by groundwater and earthquake. In this study, new cementitious composite materials were developed by using slag, building gypsum, quicklime, and magnesia. The unconfined compressive strengths of the saline soil solidified by new cementitious composite materials and cement are investigated, and the optimum proportion of the different components of the new cementitious composite materials is determined. We found from microscopic characteristics of the saline soil solidified by the new cementitious composite materials and cement that the new materials could better absorb chloride ions. Finally, the new cementitious composite materials were applied to saline soil foundation reinforcement of a utility tunnel. By using the finite element method (FEM) and shaking table tests, it can be seen that the displacement, acceleration and extent of damage of the utility tunnel after saline soil foundation reinforcement using new cementitious composite materials significantly decreased; therefore, the new cementitious composite materials can improve the seismic behaviour of the utility tunnel and shows potential future engineering application value.

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“…The size effects of material strain-rate sensitivity were widespread [9], prompting researchers to develop the non-geometric scaling method with correction factors of external loads [10][11][12][13][14][15]. Oshiro and Alves [11] for example used a basic correction factor of impact velocity to compensate distortion of material strain rate effects.…”

Section: Introductionmentioning

confidence: 99%

“…For simple analytical models [11] and complex numerical models [12], with the strain-rate sensitive mild steel, only had very small prediction errors. Similarly, the basic correction factor of mass/density for the impactor and structure were also developed in early work [13] and in recent work [14,15]. However, these developed methods were limited by an inherent defect that the basic correction factors were coupled to the structural average strain-rate responses and therefore were called to be indirect, which was hard to understand in similarity theory.…”

Section: Introductionmentioning

confidence: 99%

Material similarity of scaled models

Wang

Zhang

et al. 2021

International Journal of Impact Engineering

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When different strain hardening and strain rate sensitive materials are used for scaled model and prototype, the traditional pure geometrical similarity laws of solid mechanics will fail. Although correcting the basic scaling factors of velocity, density and geometry have been developed to compensate for the material distortion in recent non-geometric scaling works, it is difficult to be widely used because of its inherent indirect (depending on the structural strain and strain rate responses) and inexact (having significant prediction errors for prototype) defects.In this paper, a framework of material similarity, based on the new suggested material dimensionless numbers and the 'Material number vs. strain/strain-rate' function curves, are further developed, which represents the objective requirement of similarity theory for the basic mechanical properties of materials. It is demonstrated what is similitude materials of solid mechanics and how to use the best similitude materials to overcome the non-scalabilities of materials for identical or different materials. The direct and exact solution of the basic correction factors is further obtained and therefore overcomes the previous inherent indirect and inexact defects radically. Based on the similarity evaluation of different materials of the classical

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Scaling of An Impacted Reticulated Dome Using Partial Similitude Method

Cited by 19 publications

References 22 publications

An Improved KNN‐Based Slope Stability Prediction Model

An Improved KNN‐Based Slope Stability Prediction Model

Seismic resistance performance of a utility tunnel in saline soil foundation based on new cementitious composite materials

Material similarity of scaled models

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