Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Yuan, Jiang; Lv, Songtao; Peng, Xinghai; You, Lihua; Cabrera, Milkos Borges

doi:10.3390/ma13153325

Cited by 15 publications

(6 citation statements)

References 40 publications

(48 reference statements)

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“…Inappropriate weights can lead to local optimum solutions and unsatisfactory astringency and accuracy. To this end, researchers have introduced GA [20], SSA [21], and PSO [22] optimization methods to enhance the searchability of the entire region and effectively increase the speed of convergence.…”

Section: Stress Analysismentioning

confidence: 99%

Refined Analysis of Spatial Three-Curved Steel Box Girder Bridge and Temperature Stress Prediction Based on WOA-BPNN

Hu,

Zhang,

Shi

et al. 2024

Buildings

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Bridges often improve the visual appeal of urban landscapes by incorporating curve elements to create iconic forms. However, it is noteworthy that curved bridges have unique mechanical properties under loads compared to straight bridges. This study analyzes a spatial three-curved steel box girder bridge based on an actual engineering case with a complex configuration. Initially, the finite element software Midas/Civil 2021 is utilized to establish a beam element model and a plate element model to examine the structural responses under dead loads in detail. Then, two different temperature gradient distribution models are employed for the temperature effect analysis. The backpropagation neural network (BPNN) optimized by the WOA algorithm is trained as a surrogate model for finite element models based on the results of temperature stress simulation. The results reveal that the bending–torsion coupling effect in the second span of the spatial three-curved steel box girder bridge is pronounced, with the maximum torque reaching 40% of the bending moment. The uneven distribution of cross-section stress is particularly significant at the vertices, where the shear lag coefficient exceeds 3. Under the action of temperature gradients, the bridge displays a warped stress state; the stress results obtained from the exponential model exhibit a 21% increase compared to BS-5400. Optimization of the weights by the WOA algorithm results in a significant improvement in prediction accuracy, and the convergence speed is improved by 30%. The coefficient of determination (R2) for predicting temperature stress can reach as high as 0.99.

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Section: Stress Analysismentioning

confidence: 99%

Refined Analysis of Spatial Three-Curved Steel Box Girder Bridge and Temperature Stress Prediction Based on WOA-BPNN

Hu,

Zhang,

Shi

et al. 2024

Buildings

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“…El método de la mecánica de la fractura predice la vida a fatiga de las mezclas asfálticas, también divide el proceso de falla por fatiga en la etapa de iniciación y propagación de la fisura. La fisura inicial se producirá después de que la mezcla asfáltica haya experimentado un largo proceso de fatiga, lo que significa que la vida de inicio de una fisura por fatiga es muy larga [49]. El método ARwet consiste en mezclar caucho triturado de llantas reciclados y betún en un tanque de mezcla in situ para permitir la interacción entre los componentes de 45 a 60 min a temperaturas entre 190 y 218 C, algunos autores mencionan que hay 2 procesos de ARwet: proceso húmedo sin agitación y el proceso húmedo de alta viscosidad [50].…”

Section: Métodos Utilizados En Las Mezclas Asfálticasunclassified

Uso de polímeros en asfalto: una revisión

et al. 2022

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Los avances en la tecnología del asfalto conllevan a la búsqueda de materiales alternativos, que en la actualidad aporten mejorar sus propiedades y al mismo tiempo contribuyan con reducir la contaminación del medio ambiente. En el presente documento de recopilación literaria de artículos realizada entre los años 2015 – 2021 en diferentes bases de datos, con el objetivo de conocer los beneficios en las propiedades de las mezclas asfálticas, como el tamaño óptimo, porcentaje de las partículas y las mejoras al incorporar polímeros. Se revisaron 50 artículos indexados en la base ESBCO, Science Direct, ProQuest, Scielo, IOP Science, Scopus y WorldWideScience, sobre el uso de polímeros en mezclas asfálticas, con las palabras claves polímeros de caucho en asfaltos, recycled rubber in asphalt mixtures, influence of rubber size on asphalt, caucho para mezcla asfáltica, caucho reciclado; con las cuales se obtuvo más información con respecto al tema, concluyendo en esta investigación que al incorporar el polímero presenta mejoras en las propiedades mecánicas del asfalto teniendo en cuenta el porcentaje de polímero a agregar

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“…Te suspender can be damaged or even broken due to corrosion, fatigue, and other reasons, which can greatly shorten the service life of the bridge and increase the risk of bridge collapse, as shown in Figure 1. Terefore, it is particularly important to identify the damage of bridge suspenders [5].…”

Section: Introductionmentioning

confidence: 99%

Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge

Guo

2023

Shock and Vibration

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In recent decades, with the large-scale construction and rapid development of half-through arch bridges, as well as the increase of bridge service time, the suspender damage of arch bridge has become increasingly prominent. Therefore, real-time monitoring and regular detection of the health of arch bridge suspenders and timely detection and accurate judgment of the damage location and extent of suspenders are of great engineering significance for evaluating the reliability and residual life of arch bridge structures. By analyzing the main difficulties and existing problems of suspender damage identification, this paper takes the change rate of modal curvature as the damage index, introduces fireworks algorithm into the neural network model, optimizes the optimization process of neural network weight and threshold, and proposes a prediction model based on improved BP neural network by fireworks algorithm. According to the measured data of the damage degree of a long-span arch bridge in daily monitoring and on-site inspection, the proposed prediction method is applied to verify the effectiveness and accuracy in engineering health detection. On this basis, the improved BP neural network by fireworks algorithm is used to predict the suspender damage of a certain long-span half-through arch bridge, which provides an important basis for the actual bridge safety assessment.

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Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Cited by 15 publications

References 40 publications

Refined Analysis of Spatial Three-Curved Steel Box Girder Bridge and Temperature Stress Prediction Based on WOA-BPNN

Refined Analysis of Spatial Three-Curved Steel Box Girder Bridge and Temperature Stress Prediction Based on WOA-BPNN

Uso de polímeros en asfalto: una revisión

Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge

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