[HTML][HTML] Review and discussion on fire behavior of bridge girders

G Zhang, X Zhao, Z Lu, C Song, X Li, C Tang - Journal of traffic and …, 2022 - Elsevier
This paper presents an overview on fire behavior of bridge girders mainly including
prestressed concrete (PC) bridge girders and steel bridge girders. The typical fire accidents …

Ensemble-learning model based ultimate moment prediction of reinforced concrete members strengthened by UHPC

WZ Taffese, Y Zhu, G Chen - Engineering Structures, 2024 - Elsevier
Data-driven model development brings new approaches to solve conventional civil
engineering problems, which are usually considered and answered by experimental …

Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars

CS Lee, S Mangalathu, JS Jeon - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Despite notable progress made in predicting the drift capacity of reinforced columns with
steel bars, these techniques and methods are proven inapplicable for accurately predicting …

A review on design and performance regulation of ultra-high performance concrete (UHPC)

Y Mao, X Hu, L Yang, C Shi - Journal of Sustainable Cement …, 2024 - Taylor & Francis
This paper provides a comprehensive overview of ultra-high performance concrete (UHPC)
design methodologies and performance regulation strategies. The core design principles of …

Shear design of recycled aggregate concrete beams using a data-driven optimization method

S Dong, W Xie, M Wei, K Liu - Structures, 2023 - Elsevier
Under the umbrella of sustainable development, recycled aggregate concrete (RAC) is a
building material that has attracted a lot of interest. This study proposes a data-driven …

Development of stress block parameters for ultra high performance concrete

PR Prem, R Tamilmathirajalakshmi, R Gopal… - Structures, 2024 - Elsevier
Extensive literature exists on mix design, production methods, and the structural behavior of
ultra-high-performance concrete elements (UHPC). Numerous studies in these domains …

Evolutionary computing-based models for predicting seismic shear strength of RC columns

MK Ismail, A Yosri… - Magazine of Concrete …, 2023 - icevirtuallibrary.com
A number of regression-based models have been proposed to quantify the seismic shear
strength of reinforced concrete (RC) columns. However, most of these models suffer from a …

[HTML][HTML] XGBoost algorithm based estimation of near surface mounted FRP rod-to-concrete bond strength and failure mode

A Kumar, HC Arora, ML Nehdi - Journal of Building Engineering, 2024 - Elsevier
Using fiber-reinforced polymer (FRP) in reinforced concrete (RC) structures can mitigate the
colossal repair costs due to reinforcing steel corrosion. Hence, FRP rod/bar is gaining wider …

Shallow learning vs. deep learning in engineering applications

F Jafari, K Moradi, Q Shafiee - Shallow Learning vs. Deep Learning: A …, 2024 - Springer
In this chapter, the application of machine learning (ML) in various engineering domains has
ushered in transformative advancements, offering solutions to intricate problems and paving …

Data-Driven Prediction of Compressive Strength for Ultra-high Performance Concrete Exposed to Elevated Temperatures

X Yu, C Chen, J Xie, S Dong, K Dai, Y Lin… - Materials Today …, 2025 - Elsevier
The mechanical properties of ultra-high performance concrete (UHPC) significantly
deteriorate in fire or high-temperature environments, potentially leading to structural failure …