Sensitivity Analysis of Factors Influencing the Blast Resistance of Reinforced Concrete Columns Based on Grey Relation Degree

Wu, Yangyong; Xie, Qiyue; Mu, Chaomin

doi:10.3390/su151612285

Cited by 3 publications

(6 citation statements)

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“…(1) Spacing of the transverse bars (s t ); Wu et al [35] used the gray relation method to assess the influence of various parameters on the dynamic response of square RC columns under a close-in explosion. It was shown that the spacing of the transverse bars (s t ) has the most important impact on the mid-span peak displacement of RC columns.…”

Section: Discussionmentioning

confidence: 99%

“…Adding to the parameters studied in [35], the influence of the load eccentricity is also investigated in this work.…”

Section: Discussionmentioning

confidence: 99%

“…where δ ij X−Y and δ ij X−Z are the gray relational coefficient, and ξ is the identification coefficient that varies between 0 and 1, and it is generally chosen as 0.5 [35,42,67].…”

Section: Sensitivity Analysis 61 Gray Methodsmentioning

confidence: 99%

“…The data were used to validate their numerical models and conduct parametric analyses. The evidence indicates that parameters such as concrete strength [30], column detailing [31][32][33][34][35], column dimensions [36], column shape [31,37,38] and axial load ratio [31,39,40] significantly influence the extent of damage in RC columns. Additionally, the impact of explosive mass, shape and scaled distance on the damage and deformation behavior of the blast-loaded columns is also evaluated [9,31].…”

Section: Introductionmentioning

confidence: 99%

“…The gray correlation method is adopted to quantify the strength of their correlation. Numerous researchers have used this methodology across diverse fields [35,41,42].…”

Section: Introductionmentioning

confidence: 99%

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Blast Loading of Small-Scale Circular RC Columns Using an Explosive-Driven Shock Tube

Rhouma,

Maazoun,

Aminou

et al. 2024

Buildings

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Reinforced concrete (RC) columns, being axial-bearing components in buildings, are susceptible to damage and failure when subjected to blast loading. The failure of these columns can trigger a progressive collapse in targeted buildings. The primary objective of this study is to investigate the failure characteristics of laboratory-scale RC columns subjected to localized blast loading. The columns, with a length of 1500 mm and an outer diameter of 100 mm, are reinforced with 6 mm diameter longitudinal bars and 2 mm diameter steel ties. The blast loading is generated using an explosive-driven shock tube (EDST) positioned in front of the mid-span of the RC columns with a 30 g and 50 g charge. To capture the global response of the RC columns, high-speed stereoscopic DIC is used in addition to LVDTs. Furthermore, an FE model is developed using LS-DYNA R10.0 and validated against the experimental data. The results show that the proposed FE approach is able to reproduce the applied blast loading and the failure characteristics of the columns. The relative difference in column mid-span out-of-plane displacement between the FE model and the average measured data lies below 5%. Finally, the gray correlation method is conducted to assess the influence of various parameters on the blast resistance of the RC columns.

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Section: Discussionmentioning

confidence: 99%

“…Adding to the parameters studied in [35], the influence of the load eccentricity is also investigated in this work.…”

Section: Discussionmentioning

confidence: 99%

“…where δ ij X−Y and δ ij X−Z are the gray relational coefficient, and ξ is the identification coefficient that varies between 0 and 1, and it is generally chosen as 0.5 [35,42,67].…”

Section: Sensitivity Analysis 61 Gray Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The gray correlation method is adopted to quantify the strength of their correlation. Numerous researchers have used this methodology across diverse fields [35,41,42].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blast Loading of Small-Scale Circular RC Columns Using an Explosive-Driven Shock Tube

Rhouma,

Maazoun,

Aminou

et al. 2024

Buildings

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Spatio-Temporal evolution of Tourism Economic Resilience and Its Driving Factors under the Perspective of Sustainable Development-The Case of Yili River Valley

Zhao,

Sun,

Zhao

et al. 2024

Preprint

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The tourism economy plays an essential role in supporting and driving tourism development. Therefore, studying its resilience is crucial for promoting sustainable and high-quality tourism development. Based on the core essentials of economic toughness, this paper constructs the tourism economic toughness evaluation index system, uses the entropy weight TOPSIS method to measure the tourism economic toughness of 10 counties and cities in the Yili River Valley in 2010-2019, analyzes its spatio-temporal evolution characteristics through the standard deviation ellipse, the traditional Markov chain, and the spatial Markov chain, and uses the grey correlation analysis method to analyze the driving factors of the tourism economic toughness. The results show that: (1) the economic resilience of tourism in the Yili River Valley shows a "W"-shaped time-series dynamic development trend with an average index of 0.28394, in which it experienced a decline from 0.28 to 0.27 during 2012-2013 and 2015-2016; (2) Spatial Pattern: The Yili River Valley tourism economic resilience is characterized by a clear uneven spatial distribution. The city of Yining, representing the northwestern region, exhibits a high level of resilience, while the southwestern region, endowed with rich tourism resources, demonstrates a medium level of resilience. Conversely, the central to southeastern counties and cities, such as ChabuchaerXibo Autonomous County and other counties and cities, are characterized by a lack of developed tourism facilities, which has resulted in a lower level of resilience and a weak development situation; (3) In terms of spatial and temporal evolution, the standard deviation ellipse is stabilized year by year pointing to "northwest-southeast", the clustering tendency is gradually enhanced, and five tourism economic resilience convergence clubs are identified, whose internal transition probability is significantly affected by spatial location, and which show obvious stability and neighborhood effects; (4) Regarding the driving factors, the impact of each driving factor on the resilience of the tourism economy reaches the statistical significance threshold of 0.77 or above. Among them, the number of employees in the tertiary industry, especially the input of high-quality talents in the tourism industry, plays a key role in improving the quality of tourism services and strengthening the industry's ability to withstand risks and development potential.

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Spatio-Temporal Evolution and Driving Factors of Tourism Economic Resilience in the Yili River Valley

Zhao,

Sun,

Zhao

et al. 2024

Sustainability

View full text Add to dashboard Cite

The tourism economy plays an essential role in supporting and driving tourism development. Therefore, studying its resilience is crucial for promoting sustainable and high-quality tourism development. The purpose of this study is to construct a tourism economic resilience evaluation index system and assess the tourism economic resilience of 10 counties and cities in the Ili River Valley from 2010 to 2019 using the entropy weight TOPSIS method. The results show that (1) the tourism economic resilience shows a “W”-shaped time-series dynamic development trend, especially a decline in 2012–2013 and 2015–2016; (2) the spatial pattern shows a non-equilibrium characteristic, with the northwestern part of the valley represented by Yining City showing a high level of resilience, and the central to southeastern counties and cities showing a lower level of resilience; (3) the spatio-temporal evolution steadily points to “northwest–southeast”, and there are five toughness convergence clubs, with obvious stability and neighborhood effects; (4) and the analysis of the driving factors shows that the number of employees in the tertiary industry, especially the input of high-quality talents, is crucial to improving the quality of services, strengthening the ability to withstand risks and the potential for development, and its impact is significant. These results provide an important reference for the formulation of tourism development strategies and promote the sustainable development of tourism.

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Sensitivity Analysis of Factors Influencing the Blast Resistance of Reinforced Concrete Columns Based on Grey Relation Degree

Cited by 3 publications

References 54 publications

Blast Loading of Small-Scale Circular RC Columns Using an Explosive-Driven Shock Tube

Blast Loading of Small-Scale Circular RC Columns Using an Explosive-Driven Shock Tube

Spatio-Temporal evolution of Tourism Economic Resilience and Its Driving Factors under the Perspective of Sustainable Development-The Case of Yili River Valley

Spatio-Temporal Evolution and Driving Factors of Tourism Economic Resilience in the Yili River Valley

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