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CONTENTS
Volume 57, Number 1, October 10 2025
 


Abstract
This study conducted experimental and analytical research to establish fatigue performance criteria for CFRP reinforcements under flexural-tensile cyclic loading conditions. To investigate the influence of fiber-volume fraction on fatigue behavior, additional fatigue tests were performed using specimens with a 60% fiber-volume fraction. The results were incorporated into and calibrated within the fatigue limit curve proposed in previous studies, enhancing its reliability. The fatigue test results indicated that higher fiber content reduced fatigue resistance under high load conditions, while it improved fatigue resistance under low load conditions. This suggests that, under high load levels, the resin matrix primarily governs the response, and early interfacial debonding between fibers and resin significantly affects fatigue resistance. In contrast, under low load levels, the response remains within the elastic range of the resin, and the stiffness of the fibers becomes dominant. Based on these findings, it is recommended to select an appropriate fiber-volume fraction depending on the applied load conditions during the design phase. If selecting the optimal fiber-volume fraction is not feasible, adjusting it to approximately 50% is considered suitable to ensure the required fatigue performance. In the analytical part of this study, D'Amore's fatigue life prediction model was applied. However, the parameters proposed in the original study (α= 0.184, β= 0.200) resulted in an RMSE of approximately 3.14, indicating that they did not adequately reflect the experimental results obtained in this study. Therefore, following the parameter estimation procedure suggested in previous research, new parameters α= 08843, β = 0.2019 were derived. These proposed parameters resulted in a 75.48% reduction in prediction error compared to the original parameters, thereby improving the reliability of the constructed fatigue limit curve and enhancing its applicability in practical intends to address them through continued research in the future.

Key Words
carbon fiber reinforced polymer; composite; fatigue; long-term performance

Address
Youngjun Bae: Department of Civil and Environmental Engineering, Gangneung Wonju National University,
7, Jukheon-gil, Gangneung-si, Gangwon-do, Republic of Korea

Sangmoon Lee: Institute of Smart Infrastructure, Gangneung Wonju National University,
7, Jukheon-gil, Gangneung-si, Gangwon-do, Republic of Korea

Namkyeong Lee: Department of Civil and Environmental Engineering, Gangneung Wonju National University,
7, Jukheon-gil, Gangneung-si, Gangwon-do, Republic of Korea

Wooyoung Jung: Department of Civil and Environmental Engineering, Gangneung Wonju National University,
7, Jukheon-gil, Gangneung-si, Gangwon-do, Republic of Korea

Abstract
The introduction of web openings in reinforced concrete (RC) beams to accommodate modern building utilities often compromises their structural performance due to stress discontinuities and reduced stiffness. This study investigates a novel hybrid strengthening approach combining strain-hardening cementitious composites (SHCC) with glass fiber-reinforced polymer (GFRP) strips to enhance the capacity and ductility of beams with web openings. Nine beams were tested under various configurations, including anchored and non-anchored systems with single and double strengthening layers. Results indicate significant improvements in load-bearing capacity, crack control, and ductility for strengthened specimens, particularly in configurations utilizing double-layer anchored strips. Beams strengthened with double-layer anchored configurations exhibited the highest improvement in load-bearing capacity and crack control, achieving up to 82% enhancement in ultimate load. Finite element modeling validated the experimental findings, enabling detailed parametric studies. The hybrid system demonstrates a cost-effective and practical solution for retrofitting RC beams, paving the way for advanced rehabilitation practices in structural engineering.

Key Words
crack control; finite element analysis; glass fiber-reinforced polymer; load bearing capacity; strain hardening cementitious composite; web openings

Address
Mohamed Ghalla: Civil Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt

Jong Wan Hu: 1)Department of Civil and Environmental Engineering, Incheon National University, Incheon 22012, South Korea 2) Incheon Disaster Prevention Research Center, Incheon National University, Incheon 22012, South Korea

Galal Elsamak: Civil Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt

Moataz Badawi: Civil Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, Makkah, Saudi Arabia

Ramy I. Shahin: Civil Engineering Department, Higher Institute of Engineering and Technology, Kafrelsheikh, Egypt

Fathi A. Abdelmgeed: Civil Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt

Abstract
In order to improve the assembly rate of cold-formed steel (CFS) housing structural systems, this paper proposes two novel dry assembly forms for flange and web connections. Cyclic loading tests were conducted to investigate the effects of the flanges and different connection methods on the failure mode, bearing capacity, stiffness, energy consumption and ductility of the prefabricated CFS foamed concrete shear walls (PCFS-FCSWs). The findings indicated that the damage to the PCFS FCSWs was predominantly concentrated in the web region between the vertical joints. The shear forces in the webs were successfully transferred to the flanges via the connectors and bolts. The presence of flanges increased the compressive and deformation capacity of the specimens, and delayed the degradation of stiffness. The bearing capacity of PCFS-FCSWs was inferior to that of the cast-in-place wall, although their deformability and energy consumption were superior. Compared with the web spliced specimen, the load-bearing capacity and total energy consumption of the specimen assembled with L-shaped connectors increased by 22.8% and 50.4%, respectively. The finite element modelling (FEM) results demonstrated that the minimum principal stress trace in the webs of PCFS-FCSWs was distributed along the diagonal. The stresses at the bottom of the flanges were distributed parabolically and there was a shear lag effect. Finally, a simplified model for predicting the shear bearing capacity of PCFS-FCSWs was proposed, considering the effects of cladding panels, flanges and assembly joints. The findings provide valuable insights for the promotion and application of dry-assembled CFS composite walls in seismic zones.

Key Words
cold-formed steel; cyclic performance; dry assembled shear wall; finite element modelling; high-strength foam concrete

Address
Zhiming Peng: 1)China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures,
Southeast University, Nanjing 211189, China
2) School of Civil Engineering, Southeast University, No.2 Southeast University Avenue, Nanjing 211189, China

Xiaomeng Ding: 1)China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures,
Southeast University, Nanjing 211189, China
2) School of Civil Engineering, Southeast University, No.2 Southeast University Avenue, Nanjing 211189, China

Zhifeng Xu: School of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China

Zhongfan Chen: 1)China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures,
Southeast University, Nanjing 211189, China
2) School of Civil Engineering, Southeast University, No.2 Southeast University Avenue, Nanjing 211189, China

Jiankang Lin: 1)China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures,
Southeast University, Nanjing 211189, China
2) School of Civil Engineering, Southeast University, No.2 Southeast University Avenue, Nanjing 211189, China

Abstract
The UOE manufacturing process is a widely utilized method for producing large-diameter steel pipes to meet the growing global energy demands. In the final stage of UOE pipe forming, the multi-steps process of the expansion creates overlap areas, leading to nonuniform distributions of residual stress, ovality, and plastic deformation along the pipe's longitudinal direction. This study aims to analyze the effects of two critical expansion parameters—overlap length and expansion ratio—on the structural performance of UOE pipes. A 3D finite element model of the UOE process was developed to simulate the nonuniformities caused by overlap areas. The model was validated using equivalent plastic strain (PEEQ) distributions from reference studies and employed to conduct collapse analyses using the Riks method. The findings suggest that, although the overlap length has a relatively smaller effect on collapse performance compared to the expansion ratio, the overlap areas exhibit significantly higher stress levels under external pressure. This highlights the importance of precise parameter control to enhance pipeline reliability.

Key Words
collapse pressure; expansion ratio; ovality; overlap area length; pipe forming; UOE

Address
Dong-Won Kim: Department of Civil Engineering, Seoul National University of Science and Technology,
232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea

Soo-chang Kang: Steel Structure Research Group, POSCO, 100 Songdogwahak-ro, Yeonsu-gu, Incheon, 21985, South Korea

Jiwoon Yi: Steel Structure Research Group, POSCO, 100 Songdogwahak-ro, Yeonsu-gu, Incheon, 21985, South Korea

Jin-Kook Kim: Department of Civil Engineering, Seoul National University of Science and Technology,
232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea

Abstract
It is well-understood that various machine learning algorithms can present different performances in solving complicated problems, and there are uncertainties in the machine learning-based predictions. This study proposes a stacking based seismic-induced damage detection method to reduce the uncertainties related to training individual machine learning models. To do so, three different machine learning models (i.e., support vector machine, K- nearest neighbor, and convolutional neural networks) are employed as the first-level learners. Then, the results of these predictors are combined using a decision tree algorithm as the meta-model. A series of 111 earthquake records, which were originally simulated/modified by the SAC project, is used to generate the dataset. These records are uniformly scaled from 0.05 g to 1.60 g to provide a wide range of earthquake intensities. The proposed framework uses a combination of feature extraction-based machine learning and deep learning models to implement the damage detection procedure. Combining the capabilities of feature-based and deep learning algorithms minimizes the errors related to relying on only one of these learning methods. Bayesian optimization algorithm was used in this study to tune the hyperparameters of all classification learners. A one-story chevron-braced frame and a five-story concentric braced frame structure are served to validate the proposed approach. Results show that the proposed technique increases the accuracy and reliability of predicting the extent of damage compared to individual models.

Key Words
braced-frame; classification; CNN; damage detection; decision tree; KNN; machine learning; stacking-based learning; SVM

Address
Ehsan Madani: Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish, Iran

Alireza Fiouz: 1)Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish, Iran
2)Department of Civil Engineering, Persian Gulf University, Bushehr, Iran

Davood Abdollahzadeh: 1)Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish, Iran 2)Department of Civil Engineering, Islamic Azad University, Pardis Branch, Tehran, Iran

Babak Aminnejad: 1)Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish, Iran
2) Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran

Abstract
This study investigates the seismic performance of ConXL moment connections, focusing on the role of T-Stub fragments configurations in enhancing structural behavior under cyclic loading. The original ConXL design prioritizes moment transfer through bolts and collar components but lacks a protected area for plastic hinge formation, which is essential for energy dissipation without damaging the Complete Joint Penetration (CJP) weld. This limitation can compromise the connection's performance under seismic conditions. The revised system introduces T-Stub fragments, which modify the stress distribution and moment-resisting behavior by adding stiffness and deformation capacity to the connection. This modification improves the connection's resistance to seismic forces and enhances its endurance under cyclic loading. The T-Stub fragments serve two primary functions: first, they guide the plastic hinge to a safer location, preventing plasticity in critical zones such as the beam to-collar flanges welds, reducing the risk of brittle failure, and improving ductility. Second, they help the collar flanges transmit stress caused by cyclic loading to the collar corners, optimizing stress distribution and increasing the connection's energy dissipation capacity. The optimal model, TXL300-15, shows an 18% improvement in energy dissipation and a 24% increase in ultimate moment capacity compared to the conventional ConXL connection with an RBS. These findings highlight the enhanced seismic resilience, energy absorption, and structural stability of the modified ConXL connection, making it more effective at resisting seismic forces.

Key Words
capacity; ConXL; energy dissipation; rotation; seismic; SMRF

Address
Waleed khaleel Nayel: 1)Department of Civil Engineering, College of Engineering, Karbala University, Karbala, Iraq
2)Civil Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq

Israa Hasan Nayel:1)Department of Civil Engineering, College of Engineering, Karbala University, Karbala, Iraq
2)Civil Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq

Ali Zohdi: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Ali Ghamari: Department of Civil Engineering, Il.C., Islamic Azad University, Ilam, Iran


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