List of Presentations

Ultra-High-Performance Concrete: Probabilistic models, Model Uncertainty, and Artificial Intelligence

Date: 21 November 2024

Venue: Klokner Institute- Czech Technical University in Prague

Abstract

The presentation explores the use of probabilistic models and AI to enhance Ultra-High-Performance Concrete (UHPC). It discusses improving UHPC mix designs with AI and addresses uncertainties in resistance models. Key topics include the underestimated tensile strength contribution in traditional models and AI-driven optimization for performance and sustainability. Ongoing research and collaborative efforts to advance UHPC applications in structural engineering are highlighted

Probabilistic Models for UHPC in Bending: A State-of-the-Art Perspective.

Date: 2 October 2024

Venue: Politecnico di Torino

Abstract

The presentation discusses probabilistic models for Ultra-High Performance Concrete (UHPC) in bending applications. Addressing the lack of mature design guidelines for UHPC, the presentation highlights the uncertainties in current models at material, geometric, and model levels. It proposes advancements in probabilistic models to refine these guidelines, emphasizing the need for large datasets and detailed assessments to improve UHPC's accuracy and reliability in structural applications. The talk outlines future directions for enhancing model recalibration and managing inherent uncertainties.

Model Uncertainty in European UHPC Standards: Insights from SIA-2052 and NF P18-710 Flexure Models

Date: 23 September 2024

Venue: Hotel Galant - Mikulov

Abstract

The presentation addresses model uncertainty in the design of Ultra-High-Performance Concrete (UHPC) beams within European standards. It highlights the discrepancies and limitations in the current models (Swiss SIA 2052 and French NF P18-710) through a robust analysis involving 211 experimental beam data points. This study assesses the bias and variability inherent in these models, and explores the implications for partial factor method verifications in design standards. Recommendations are made for refining these models using non-linear finite element analysis to improve design accuracy and efficiency

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