Performance of HSC columns under severe cyclic loading

Bechtoula, Hakim; Kôno, Susumu; Watanabe, Fumio; Mehani, Youcef; Kibboua, Abderrahmane; Naili, Mounir

doi:10.1007/s10518-014-9617-x

Cited by 4 publications

(6 citation statements)

References 34 publications

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“…At the same time, the existence of core RAC can delay the local buckling of the steel pipe, thus strengthening the stability of the steel pipe. In addition, the steel tube can also be used as the template for pouring its core RAC, which can speed up the construction progress and save a lot of formwork cost [14].…”

Section: Introductionmentioning

confidence: 99%

Estimation and Simulation of Charged State of Battery for Agv

2019

IJOMAM

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To enhance the seismic performance of the recycled concrete deep flexural beam combination frame structure and increase the utilization rate of the square steel tube recycled concrete structure, on the basis of the previous research, starting from the structural level, the related seismic performance of the square steel tube recycled concrete column-recycled concrete deep flexural beam combination frame structure was studied in depth, so as to provide references for further theoretical research and application of square steel tube recycled concrete frame structure. Six sets of frames were designed and made for repeated low-cycle loading test, the failure process and failure form of the frame and the filled wall were observed, and the hysteretic curve, skeleton curve and strain changes at key parts of the specimens were obtained. In addition, the seismic performance of the specimen was analyzed in detail to study the influence of various parameters on the seismic performance of the structure. The results showed that the calculated values were in good agreement with the measured values, which can provide reference for the theoretical calculation of the structure. It was of great significance to conduct in-depth research on the new-type combination frame structure of square steel tube recycled concrete column-recycled concrete deep flexural beam, reveal its failure mechanism and seismic performance, and put forward reasonable structural measures, and this was an essential step for the promotion and application of square steel tube recycled concrete structure.

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Section: Introductionmentioning

confidence: 99%

Estimation and Simulation of Charged State of Battery for Agv

2019

IJOMAM

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“…Diagrama Momento-curvatura Figura II. 20 La rama elástica se prolonga hasta el valor del momento efectivo (M n ) (Figura II.20), que es el que se obtiene cuando en la fibra más comprimida del hormigón la deformación es de 0.004. Con este valor se puede calcular la curvatura elástica efectiva (' y ) a partir de la ecuación, (II.17).…”

Section: Modelo Analítico De Priestley Et Al (1987)unclassified

“…A continuación se resumen los trabajos experimentales encontrados hasta la fecha. [20] En este trabajo se realiza un análisis experimental y numérico del comportamiento sísmico de 12 soportes tipo ménsula bajo carga cíclica, con el fin de analizar el efecto escala, con diferentes tamaños y resistencia del hormigón.…”

Section: Estado Límite Nc Evaluación De La Deriva úLtimaunclassified

“…El esquema estructural idealizado y el pórtico empleado se muestran en la Figura II.24: Pórtico de ensayo, soporte tipo ménsula y esquema de carga, Bechtoula et al (2015) [20] Figura II. 24 A continuación en la Figura II.25 se muestran la geometría y armados de las secciones de los elementos ensayados.…”

Section: Tipo De Ensayounclassified

“…Esto se puede observar en los valores recopilados entre las Tablas VIII.12 y VIII. 20 Tabla VIII.12. Serie 1: Tipo I, V f =2%,  v =5.77, =0.20, s t =variable,  l =1.16%, r/h=0.15, cíclica Figura VIII.15.…”

Section: Bajada (Galga Traccionada) Referenciaunclassified

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Análisis Experimental De Soportes De Hormigón De Altas Prestaciones Sometidos a Compresión Y Carga Lateral Cíclica

Bugallo¹,

Carmén²

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AgradecimientosQuisiera dedicar mis primeras palabras a todos aquellos que habéis compartido conmigo los distintos momentos vividos en la realización de este trabajo que, como en la vida, han sido muchos y muy diversos, buenos y malos, y en todo caso enriquecedores. Con estas palabras comienzo a redactar la parte más difícil de este trabajo, ya que he tenido la gran suerte de sentirme acompañada, apoyada y comprendida en cada fase. Es inevitable dejarme a alguien en el tintero, no por su menor relevancia, sino por descuido. Por eso, empiezo pidiendo disculpas y dando las gracias ya que aunque no os encontréis directamente nombrados, habéis sido también parte fundamental en el camino recorrido.Agradezco a mis tutores y además compañeros, Jose y Jose Luis, su confianza en mí para desarrollar esta tesis doctoral. Gracias por vuestra orientación y apoyo.

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Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers

Liu,

Guo,

Zhao

et al. 2023

Bull Earthquake Eng

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To facilitate seismic analysis of bridges, especially on a regional scale, this study established a parametric finite element model of bridges incorporating simplified component elements. It employs a knowledge-enhanced neural network (KENN) to calibrate the parameters of the lumped plasticity model of pier columns. Along with a database of historical experimental results, the influence of the key characteristics of reinforced concrete columns on model parameters are investigated and formulated as physical laws to supervise KENN training. The developed KENN model was then developed, yielding root mean square errors within the range of [0.027, 0.209]. These errors are slightly larger than those of the purely data-driven neural network, yet the KENN model aligns more consistently with the physical principles. Further, to demonstrate its accuracy and efficiency, the proposed methodology was applied for the rapid seismic response analysis of typical bridges.

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Performance of HSC columns under severe cyclic loading

Cited by 4 publications

References 34 publications

Estimation and Simulation of Charged State of Battery for Agv

Estimation and Simulation of Charged State of Battery for Agv

Análisis Experimental De Soportes De Hormigón De Altas Prestaciones Sometidos a Compresión Y Carga Lateral Cíclica

Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers

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