Article
Construction & Building Technology
Alireza Arabshahi, Mohammadreza Tavakkolizadeh
Summary: The paper presents a predictive model for determining the slenderness limit of FRP-confined circular RC columns, which is validated through parameter analysis and evaluation using an experimental results database. The proposed relation shows acceptable accuracy in predicting the behavior and failure mode of FRP-confined RC columns.
STRUCTURAL CONCRETE
(2022)
Article
Engineering, Civil
J. J. Zeng, J. G. Teng, Guan Lin, L. J. Li
Summary: A novel technique of section curvilinearization (SC) before FRP wrapping was proposed to enhance the effectiveness of fiber-reinforced polymer (FRP) confinement for strengthening rectangular reinforced concrete (RC) columns. Experimental results on large-scale FRP-confined CRCs demonstrated the effectiveness of this technique, with limited previous research on the curvilinearization of square/rectangular columns.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2021)
Article
Engineering, Civil
Yehia A. K. Sayed, Alzhraa A. Ibrahim, Ashot G. Tamrazyan, Mohamed F. M. Fahmy
Summary: Machine learning techniques were used to improve the accuracy of predicting the axial compressive load of FRP-confined concrete columns. This study reviewed influential parameters and their effects on the strength, ductility, and failure mode of FRP-strengthened columns. Machine-learning models were developed using collected datasets, and they showed good agreement with test results, outperforming existing design-oriented models with lower deviation values.
ENGINEERING STRUCTURES
(2023)
Article
Mechanics
Lik Lam, Liang Huang, Jian-He Xie, Jian-Fei Chen
Summary: This study presents an experimental investigation on the compressive behavior of FRP-confined UHPC, proposing predictive equations and recalibrating a stress-strain model for FRP-confined UHPC. The results show the inadequacy of using a parabolic curve to describe the stress-strain relationship of unconfined UHPC due to its higher strength and more brittle behavior in compression.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Civil
Siqi Lin, Yan-Gang Zhao, Jianming Li, Zhao-Hui Lu
Summary: The existing compressive strength models for FRP-confined concrete lack accuracy due to empirical establishment without a clear understanding of the confinement mechanisms. This paper investigates the confinement mechanism of FRP-confined concrete by studying the confining stress path, finding that different column parameters yield different confining stress paths and therefore different compressive strengths. A new compressive strength model based on the confining stress path is developed for FRP-confined concrete, providing more accurate predictions than previous models.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2021)
Article
Engineering, Civil
Yudong Ma, Kaize Ma, Xiao Han, Tian Yao
Summary: In this study, the axial compressive properties of FRP-confined HSCFST stub columns were investigated, and the effects of steel tube thickness, FRP type, concrete strength, and number of FRP layers were analyzed. The results showed that increasing the concrete strength, steel tube thickness, and number of FRP layers effectively improved the ultimate strength of the stub columns. GFRP showed a more significant effect on improving the ultimate strength and delaying the stiffness degeneration compared to CFRP. A finite element model was established to accurately simulate the axial compressive behavior of FRP-confined HSCFST stub columns and a calculation method for the peak strain and ultimate strength was developed.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Marine
Na Li, Wenshui Tang, Xinyu Chen, Kai Wang, Shan Li
Summary: This study investigated the degradation of FRP-confined RC columns under axial compression induced by corrosion. The research found that steel corrosion significantly reduced the compressive response of FRP-confined RC columns, with GFRP-confined RC columns showing better deformation capacity and less vulnerability to corrosion compared to CFRP-confined RC columns.
Article
Engineering, Civil
Hamid Khodadadi Koodiani, Negar Erfanian, Arsalan Majlesi, Ali Hosseinzadeh, Elahe Jafari, Mohammad Shahin, Adolfo Matamoros
Summary: A machine learning algorithm was used to develop design equations for the compressive strength of FRP confined columns. By training an Artificial Neural Network (ANN) and investigating the nonlinear relationships between input parameters and model output, the study provided more accurate and precise estimates than other models in the literature.
Article
Construction & Building Technology
Yue Liu, Hong -Tao Zhang, T. Tafsirojjaman, Attiq Ur Rahman Dogar, Qing-Rui Yue, Allan Manalo
Summary: Glass fibre reinforced polymer (GFRP) composite bars can be used as internal reinforcement for concrete structures in harsh conditions. However, their utilization as longitudinal reinforcement for compression members is not widely recommended due to the anisotropic nature of FRP and limited research. Wrapping the GFRP bars with hoop-oriented FRP composites has shown promising improvement in compressive behavior and ductility. This study investigates the compressive behavior of FRP-confined GFRP bars and proposes a compressive strength model.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Civil
Zeyuan Wang, Zhiyuan Li, Peng Feng
Summary: In this study, a new component called FRP confined concrete core encased rebar (FCCC-R) and a new member named an RC column reinforced with FCCC-R were investigated. The test results showed that the RC columns reinforced with FCCC-R had a higher axial load capacity. The axial load-displacement curves of all tested specimens were compared and the effects of steel hoops, FCCC-R, and center FCCC were discussed. The behavior of different parts in a hybrid column, including steel hoops and FRP tubes, was analyzed based on strain development during the test. Lastly, a section superposition method was proposed to predict the axial load-axial deformation behavior, which matched well with the experimental results.
ENGINEERING STRUCTURES
(2023)
Article
Mechanics
Javad Shayanfar, Hassan Jafarian Kafshgarkolaei, Joaquim A. O. Barros, Mohammadali Rezazadeh
Summary: This study aims to present a new unified strength model for predicting the peak compressive strength of FRP confined heat-damaged concrete with circular/square cross-section columns, applicable to both ambient and elevated temperature conditions. The model considers the influences of column size, sectional non-circularity, and pre-existing thermal-induced damage in terms of confinement-induced improvements, based on regression analysis and a large database of experimental results.
COMPOSITE STRUCTURES
(2023)
Article
Construction & Building Technology
Osama Ali, Aya Abbas, Eehab Khalil, Hany Madkour
Summary: The finite element simulation of confined RC columns is complex, especially when using fiber-reinforced polymer (FRP) for confinement. The study focuses on calibrating the concrete damage plasticity (CDP) model for square RC columns confined with FRP sheets. Among the four design codes considered, ACI-440 and ECP-208 show more accurate behavior than CSA-S806 and FIB-Bulletin-14.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Civil
Yu-Lei Bai, Yu-Feng Zhang, Jun-Feng Jia, Qiang Han, Xiu-Li Du, Togay Ozbakkaloglu
Summary: This paper presents results of an experimental study on the axial compressive behavior of large-scale square reinforced concrete columns confined with PEN/PET FRP composites, which have a large rupture strain of over 5%. The influence of FRP jacket stiffness on the behavior of the columns is evaluated, and a refined model is proposed to better predict their compressive behavior.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2022)
Article
Engineering, Civil
Fangzhu Du, Dongsheng Li, Dapeng Qiu
Summary: This article investigates the damage evaluation and pattern recognition for the newly proposed FRP/steel-confined reinforced concrete columns, using AE technology to monitor the damage process and FCM and PSO algorithms for clustering analysis of different damage signals. Five damage mechanisms were identified, and typical damage waveforms were extracted for frequency content analysis.
SMART STRUCTURES AND SYSTEMS
(2021)
Article
Construction & Building Technology
Maria K. Valasaki, Christos G. Papakonstantinou
Summary: This study compiled an extensive and up-to-date experimental database based on compressive tests of FRP-confined concrete structural elements. The data was divided into two categories, FRP wrapped and FRP tube encased, and demonstrated the effect of confinement on strength and strain. The analysis of the database led to important observations on the parameters that influence FRP-confined concrete's behavior.
Article
Construction & Building Technology
Hamed Arshadi, Ali Kheyroddin, Hosein Naderpour, Mohammad Haji
Summary: The effects of high-strength steel (HSS) on the damage indices (DIs) of four special moment frames and three beam-column connection (BCC) specimens under cyclical loading were investigated. The specimens were designed and constructed with HSS rebars based on the special seismic provisions of ACI 318-19. Various types of DIs were calculated, and the results showed that higher strength steel accelerated the failure process and the combined DIs were found to be more accurate for studying the damage behavior.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
(2023)
Article
Construction & Building Technology
Masoomeh Mirrashid, Hosein Naderpour
Summary: This article introduces two computational intelligence-based methods for determining the fundamental period of infilled reinforced concrete frames. By using statistical regression analysis, trained neural networks, and a neuro-fuzzy approach, the period can be accurately estimated. The results show that the opening ratio is the most influential parameter on the period of the frames considered.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Civil
Reza Kamgar, Masoud Dadkhah, Hosein Naderpour
Summary: This study proposes an innovative method using discrete wavelet transform to reduce the computational volume and time of nonlinear dynamic analysis (NDA). The results show that the error of the nonlinear response spectrum for near-field earthquakes is smaller than that of far-field earthquakes. Additionally, by increasing the ductility coefficient, the error of the wavelet nonlinear response spectrum can be neglected.
Article
Construction & Building Technology
Hosein Arabyarmohammadi, Mohammad Kazem Sharbatdar, Hosein Naderpour
Summary: This research examined the impact of cement content, water-cement ratio, and sand-aggregate ratio on the mechanical properties of Roller-Compacted Concrete (RCC). Experimental tests and response surface methodology (RSM) analysis were conducted to obtain results. The RSM model demonstrated that it can effectively analyze RCC properties. It was found that the water-cement ratio was the most significant factor affecting consistency, while the cement content had the greatest influence on compressive strength.
INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY
(2023)
Article
Mechanics
Cheng Jiang, Kumar Avadh, Kohei Nagai
Summary: This paper successfully develops a rational FRP-to-concrete model based on the 3D rigid body spring model, and reveals the relationship between adhesive-concrete interfacial strength and failure mode through simulation results and parametric studies.
COMPOSITE STRUCTURES
(2023)
Article
Mechanics
Jie Luo, Shingo Asamoto, Kohei Nagai
Summary: The alkali-silica reaction (ASR) is a durability concern that can lead to expansion and cracking of concrete structures. This study used a discrete numerical simulation method to investigate the compressive failure behavior of concrete with different levels of ASR damage. The results showed that ASR expansion led to a decrease in the elastic modulus and compressive strength of concrete, while the confining effect of stirrups delayed the degradation of compressive strength.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Computer Science, Artificial Intelligence
Masoomeh Mirrashid, Hosein Naderpour
Summary: This article introduces a theory called IbI logic, which is a non-logic that may become clear through the learning process of the human brain. The article also presents the IbI Logics Algorithm (ILA) based on this theory and evaluates its performance.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Construction & Building Technology
Tohid Moghtader, Ahmad Sharafati, Hosein Naderpour, Morteza Gharouni Nik
Summary: To control tunneling risk, the prediction of surface settlement induced by shield tunneling is crucial. Artificial neural network (ANN) models were used to consider the nonlinear relationship between maximum ground settlements and influential variables. The most accurate back propagation ANN technique was applied to predict ground surface settlements.
Article
Construction & Building Technology
Yi Wang, Sha Xie, Zhao Wang, Xiaoda Li, Fuyuan Gong, Kohei Nagai, Jun Deng, Tamon Ueda, Wenguang Hu
Summary: In cold regions, concrete structures are prone to damage due to low temperatures. The expansion of ice formation and water penetration into pores and cracks contribute to the damage. However, the filling of pores with ice can enhance the mechanical properties of cementitious materials. Evaluating the freezing process is crucial as it can have either strengthening or damaging effects on the mechanical properties of concrete, depending on environmental and material factors. The presence of ice inside pores and cracks in frozen concrete is also important. Currently, there is a lack of effective evaluation methods for the mechanical properties of frozen concrete.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Chemistry, Multidisciplinary
Atiye Farahani, Hosein Naderpour, Gerasimos Konstantakatos, Amir Tarighat, Reza Peymanfar, Panagiotis G. Asteris
Summary: The research proposes the utilization of a fuzzy expert system to enhance the diagnosis of chemical deterioration in reinforced concrete structures. The system can evaluate and quantify the level of deterioration based on various symptoms and inspection data, providing valuable insights into different types of deterioration and enabling a more precise diagnosis.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Mehdi Koohmishi, Alireza Azarhoosh, Hosein Naderpour
Summary: This paper presents an approach for analyzing the substructure of a slab track. A semi-analytical solution of the double-beam model is derived, which incorporates a visco-elastic connection between two concrete beams and a spring-damping foundation. A random forest algorithm is utilized to effectively assess the impact of various parameters. The results show that the stiffness of the intermediate and foundation layers have the greatest influence on the vertical deflection of the upper beam.
Article
Construction & Building Technology
Masoomeh Mirrashid, Hosein Naderpour, Denise-Penelope N. Kontoni, Anna Jakubczyk-Galczynska, Robert Jankowski, Tan N. Nguyen
Summary: This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed method provides a reliable and efficient framework for predicting the flexural behavior of composite shear walls.
Article
Green & Sustainable Science & Technology
Nima Ezami, Aybike Ozyuksel Ciftcioglu, Masoomeh Mirrashid, Hosein Naderpour
Summary: The study focuses on accurately predicting the shear strength of FRP-bonded reinforced concrete beams using advanced machine learning algorithms. Xgboost is identified as the most suitable algorithm for precise estimation, outperforming others with the lowest error values. In addition, a sensitivity analysis using artificial neural networks evaluates the influence of input variables.
