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Predicción de ciclo completo de la cicatrización de grietas en hormigón autocurativo utilizando la expansión del caos
Changhao Fu1, Weijie Xu2, Qiwei Zhan3
1School of Civil Engineering, Southeast University, Nanjing, China.
Communications engineering
|February 10, 2026
Resumen
Concreto autocurativo que se cura por sí mismo.
Área de la Ciencia:
- Ciencia de los materiales Ciencia de los materiales.
- Ingeniería Civil Ingeniería Civil.
- La mecánica computacional es la mecánica computacional.
Sus antecedentes:
- La capacidad de cicatrización de grietas del hormigón autocurativo es vital para la durabilidad estructural, especialmente en entornos hostiles.
- La velocidad de cicatrización de grietas tiene un impacto directo en la vida útil de las estructuras de hormigón.
Objetivo del estudio:
- Desarrollar un modelo cuantitativo y un enfoque de predicción para evaluar la tasa de reparación de la sección transversal de las grietas en el hormigón autocurativo.
- Establecer un marco confiable para predecir la vida útil y optimizar las estrategias de reparación.
Principales métodos:
- Utilizó la expansión del caos polinómico (PCE) para modelar y predecir la curación de grietas.
- Desarrolló un modelo de sustituto PCE de primer orden para capturar la evolución temporal de la curación.
- Reducción de dimensionalidad empleada y elevación de orden para una mayor precisión con datos limitados.
- Formulado un marco generalizado de PCE para distribuciones arbitrarias para ampliar la aplicabilidad.
Principales resultados:
- Estableció una base de datos fundamental mediante la identificación de los factores clave que influyen en el comportamiento de curación.
- Caracterizó la evolución temporal de la curación desde la variabilidad temprana hasta la saturación no lineal.
- Validación de la robustez y confiabilidad del modelo en todas las etapas de curación a través de pruebas extrapolatorias.
Conclusiones:
- El enfoque basado en PCE desarrollado proporciona un marco cuantitativo confiable para el hormigón autocurativo.
- Este método permite una predicción precisa de la vida útil y la optimización de las estrategias de reparación en la práctica de la ingeniería.
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