Flexural Strengthening of Reinforced Concrete Beams with Prestressed L-Shaped Sections: A Numerical Investigation

This study introduces and numerically validates a novel method for the flexural strengthening of reinforced concrete (RC) beams using prefabricated, L-shaped prestressed concrete sections. A Finite Element model was developed in Abaqus and validated against existing experimental data for an unstrengthened RC beam. A comprehensive parametric study was then conducted to assess the performance of the strengthened system, focusing on the effects of prestress level and tendon arrangement. The results demonstrate the exceptional efficacy of the proposed technique. The beam's flexural capacity was significantly increased, with the optimal configuration showing a 428.7% enhancement in yield moment compared to the reference beam. Furthermore, the method substantially improves the structure's ductility and energy dissipation capacity, with inelastic energy dissipation increasing by up to 59.9% and damage-related energy dissipation by up to 191%. A direct comparison revealed that the proposed method's performance is approximately 2.5 times greater than strengthening with advanced Ultra-High Performance Fiber Reinforced Concrete (UHPFRC) jackets. This numerical proof-of-concept confirms that the proposed technique is a highly promising and efficient solution for structural retrofitting.

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-08-07
DOI
https://doi.org/10.82485/bim.2025.1217117
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexural Strengthening of Reinforced Concrete Beams with Prestressed L-Shaped Sections: A Numerical Investigation

Arash Totonchi, S.A. Jenabali Jahromi, A. Tounsi, Mohammad Reza Khastkhodaei
SPIRE - Sciences Po Institutional REpository
Structural Behavior of Reinforced Concrete
article

Flexural Strengthening of Reinforced Concrete Beams with Prestressed L-Shaped Sections: A Numerical Investigation

Arash Totonchi, S.A. Jenabali Jahromi, A. Tounsi, Mohammad Reza Khastkhodaei
article en

Abstract

This study introduces and numerically validates a novel method for the flexural strengthening of reinforced concrete (RC) beams using prefabricated, L-shaped prestressed concrete sections. A Finite Element model was developed in Abaqus and validated against existing experimental data for an unstrengthened RC beam. A comprehensive parametric study was then conducted to assess the performance of the strengthened system, focusing on the effects of prestress level and tendon arrangement. The results demonstrate the exceptional efficacy of the proposed technique. The beam's flexural capacity was significantly increased, with the optimal configuration showing a 428.7% enhancement in yield moment compared to the reference beam. Furthermore, the method substantially improves the structure's ductility and energy dissipation capacity, with inelastic energy dissipation increasing by up to 59.9% and damage-related energy dissipation by up to 191%. A direct comparison revealed that the proposed method's performance is approximately 2.5 times greater than strengthening with advanced Ultra-High Performance Fiber Reinforced Concrete (UHPFRC) jackets. This numerical proof-of-concept confirms that the proposed technique is a highly promising and efficient solution for structural retrofitting.

SPIRE - Sciences Po Institutional REpository
King Fahd University of Petroleum and Minerals (SA), Sadra Institute Of Higher Education (IR), Université Djilali de Sidi Bel Abbès (DZ)
Openalex Percentile: Top 56%
Structural Behavior of Reinforced Concrete
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.