Article
Engineering, Civil
Jesika Rahman, Khondaker Sakil Ahmed, Nafiz Imtiaz Khan, Kamrul Islam, Sujith Mangalathu
Summary: This study presents a data-driven approach to estimating the shear strength of steel fiber reinforced concrete beams, utilizing machine learning models. Among the 11 evaluated models, XGBoost demonstrated the most accurate predictions. Additionally, the study identified the most influential parameters affecting the shear strength of SFRC beams.
ENGINEERING STRUCTURES
(2021)
Article
Materials Science, Multidisciplinary
Torkan Shafighfard, Faramarz Bagherzadeh, Rana Abdollahi Rizi, Doo-Yeol Yoo
Summary: This study used a large dataset to construct a data-rich framework and predicted the compressive strength of steel fiber-reinforced concrete subjected to high temperatures using machine learning algorithms. By comparing multiple algorithms, the stacked ML pipeline was found to have the highest accuracy and was compared with an artificial neural network algorithm. The proposed stacked technique is of great importance in accurately predicting the compressive strength of SFRCs in construction applications.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Construction & Building Technology
Nolan Concha, John Rei Aratan, Eloisa Marie Derigay, Joseph Manuel Martin, Rose Erika Taneo
Summary: A hybrid Neuro-Swarm model was developed to predict the shear strength capacity of steel fiber-reinforced concrete in deep beams. The model demonstrated remarkable performance indicators and superior prediction performance.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Zihong Zhang, Hongyan Wang, Ning Gao
Summary: The rheological characteristics of steel fiber-reinforced concrete were measured and simulated using computational fluid dynamics software. The numerical model was validated by comparing with experimental results. A prediction model for the rheological parameters of fiber-reinforced concrete was established based on the Sparrow Search Algorithm - Xtreme Gradient Boosting, showing high applicability.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Construction & Building Technology
Monjee K. Almustafa, Moncef L. Nehdi
Summary: Steel fiber-reinforced cementitious composites are preferred for resilient structures due to their superior mechanical properties and blast resistance. Recent advancements have been made in evaluating the blast performance of different types of steel fiber-reinforced concrete, but further research is needed to explore the effects of fiber parameters and develop predictive models. This study develops a machine learning model to predict the maximum displacement of various types of steel fiber-reinforced concrete beams subjected to blast loading. The proposed model shows promising predictive performance and reduces complexity compared to existing methods.
CEMENT & CONCRETE COMPOSITES
(2022)
Article
Chemistry, Physical
Dong Zheng, Rongxing Wu, Muhammad Sufian, Nabil Ben Kahla, Miniar Atig, Ahmed Farouk Deifalla, Oussama Accouche, Marc Azab
Summary: This study aims to predict the flexural strength of steel fiber-reinforced concrete using machine learning algorithms. The results show that the Gradient Boosting model performs the best with the highest precision and lowest error levels.
Article
Construction & Building Technology
Kunting Miao, Zichao Pan, Airong Chen, Yang Wei, Yirui Zhang
Summary: This study introduces a machine learning-based model for predicting the ultimate strength of circular concrete-filled fiber-reinforced polymer (FRP)-steel composite tube (CFSCT) columns. The ML-based models were evaluated and proved to have superior prediction accuracy and applicability compared to existing empirical models. The SVR model demonstrated the best performance with an R2 of 0.992, followed by the BPNN and RF models with R2 of 0.984 and 0.982, respectively. Concrete compressive strength, steel tube thickness, and FRP thickness were identified as influential factors on the ultimate strength of CFSCT columns.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Mechanics
Seyyed-Asgar Hosseini, Mahdi Nematzadeh, Carlos Chastre
Summary: In this study, the shear performance of FRP bar-reinforced concrete beams containing steel fibers and crumb tire rubber was evaluated, and a model and empirical equation were proposed to predict their shear capacity. The proposed equation showed more accurate results compared to existing shear strength prediction equations for beams with FRP reinforcing bars.
COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
Fangyu Liu, Ke Xu, Wenqi Ding, Yafei Qiao, Linbing Wang
Summary: The study shows that increasing steel fibers can enhance the mechanical properties of HFRC, especially the strength indices, while adding more PVA fibers can improve the toughness of HFRC, but may reduce strength indices.
CEMENT & CONCRETE COMPOSITES
(2021)
Article
Engineering, Civil
M. S. Sandeep, Koravith Tiprak, Sakdirat Kaewunruen, Phoonsak Pheinsusom, Withit Pansuk
Summary: In recent years, machine learning techniques have been widely applied in solving challenging structural engineering problems, providing highly accurate models to replace empirical and semiempirical prediction models. This paper discusses the fundamental terminologies and concepts of commonly used machine learning algorithms for solving structural engineering problems. It also presents a comprehensive literature review on the application of machine learning in predicting shear strength, covering various types of beams. The article concludes with major observations, challenges, and future scope in this field. It serves as a valuable resource for individuals unfamiliar with machine learning but eager to learn more.
Article
Construction & Building Technology
Amjed Shatnawi, Hana Mahmood Alkassar, Nadia Moneem Al-Abdaly, Emadaldeen A. Al-Hamdany, Luis Filipe Almeida Bernardo, Hamza Imran
Summary: Accurately predicting the shear strength of SFRC beams is crucial for the design or assessment of concrete structures. Traditional empirical methods have limited data and questionable accuracy, while machine learning models can address these issues. This study combines the Shapley additive explanations method with high-accuracy machine learning techniques to build an explainable ML model for predicting the shear strength of SFRC beams.
Article
Mechanics
Ibrahim Albaijan, Arsalan Mahmoodzadeh, Adil Hussein Mohammed, Danial Fakhri, Hawkar Hashim Ibrahim, Khaled Mohamed Elhadi
Summary: This study used 11 machine learning algorithms to predict the compressive strength of nanosilica-reinforced concrete. Through testing and statistical analysis, the support vector regression (SVR) and null space SVR (NuSVR) models were found to perform well in practical applications. To aid in estimating the compressive strength of nanosilica-reinforced concrete for engineering challenges, a graphical user interface (GUI) based on machine learning models was developed.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Civil
Mohammad Rezaul Karim, Kamrul Islam, A. H. M. Muntasir Billah, M. Shahria Alam
Summary: This paper presents a novel approach of using machine learning algorithms to accurately predict the shear strength of FRP-RC beams. By collecting a large database and comparing the performance of various ML algorithm models with existing design provisions and models, the proposed data-driven ML models demonstrate high accuracy and superior performance. In addition, a simple GUI is developed to assist practicing engineers in estimating shear strength without the need for complicated design procedures.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2023)
Article
Construction & Building Technology
A. Michel, V. Marcos-Meson
Summary: Physics-based modelling and data analysis methods have their limitations, but combining them can lead to better understanding and prediction of complex physical systems. This study applies machine learning to predict corrosion in fibre-reinforced concrete and identifies opportunities and challenges in integrating physics-based modelling and data-driven inference.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Md Nasir Uddin, Junhong Ye, Boyu Deng, Ling-zhi Li, Kequan Yu
Summary: This study aims to predict the compressive strength (CS) and flexural strength (FS) of 3D printed fiber reinforced concrete (3DPFRC) using machine learning models. Six types of ML models were utilized, and XGBoost, LightGBM, Catboost, and NGBoost achieved high accuracy in predicting CS and FS. The study also identified the most influential parameters for CS and FS using SHAP analysis.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Doo-Yeol Yoo, Yun Sik Jang, Booki Chun, Soonho Kim
Summary: Different types of engineered steel fibers were evaluated in terms of surface treatment and performance in ultra-high-performance concrete (UHPC). The surface roughness and properties of the fibers changed significantly after immersion in an electrolyte solution, with C fibers exhibiting the highest pullout energy and T1 fibers enhancing tensile strength and specific energy the most. Optimal reinforcement strategies recommended a 6-hour treatment of C and T0 fibers or the pristine T1 fiber to achieve desired tensile strengths and specific energies in UHPC.
CEMENT & CONCRETE COMPOSITES
(2021)
Article
Construction & Building Technology
Doo-Yeol Yoo, Ilhwan You, Goangseup Zi
Summary: Adding waste liquid-crystal display glass powder into ultra-high-performance concrete can enhance the tensile and flexural performance of steel fibers, especially for straight fibers. Circular fibers outperform triangular fibers in terms of mechanical properties, and a single twist in the triangular fibers can improve the performance and cracking behavior of UHPC.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Civil
Min-Jae Kim, Taekgeun Oh, Doo-Yeol Yoo
Summary: This study found that 3 months of wet-curing significantly decreased the tensile performance of UHP-SHCC, while 3 months of air-curing further enhanced its tensile performance. The inclusion of GGBS as a binder can increase the stress development rate and tensile strength of the material.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2021)
Article
Engineering, Civil
Min-Jae Kim, Taekgeun Oh, Doo-Yeol Yoo
Summary: This study investigated the mechanical properties and microstructures of three ultra-high-performance strain-hardening cementitious composites with different mix proportions and curing conditions. The results indicate that the inclusion of ground granulated blast furnace slag (GGBS) affects the strength and ductility of the materials significantly. Wet curing conditions are more effective in enhancing the energy absorption capacity compared to air curing conditions.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2022)
Article
Engineering, Civil
Huihui Li, Lifeng Li, Doo-Yeol Yoo, Meng Ye, Cong Zhou, Xudong Shao
Summary: This paper proposed a novel non-prismatic prestressed CSW-UHPC composite box girder to enhance the cracking resistance and reduce the dead weight of highway bridges. Experimental and numerical analyses showed that the shear lag effect of the UHPC flanges in the stress concentration region was more pronounced than in the non-stress concentration region, and the boundary conditions and loading forms significantly influenced the shear lag behavior.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Engineering, Civil
Meng Ye, Lifeng Li, Doo-Yeol Yoo, Lianhua Wang, Huihui Li, Xudong Shao
Summary: This study focuses on the use of ultrahigh-performance concrete (UHPC) in precast segmental beams to enhance bridge performance and durability. The shear behavior of the dry-jointed segmental beams was investigated through testing various specimens with different joint types and shear span-to-depth ratios. The results showed that shear capacity, stiffness, and cracking load of the dry-jointed segmental beams were lower than those of the monolithic specimen, and the number of shear keys also influenced the shear behavior. The study also evaluated UHPC design codes and proposed a simplified strut-and-tie model for estimating shear strength.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Engineering, Civil
Soonho Kim, Yun Sik Jang, Taekgeun Oh, Seung Kyun Lee, Doo-Yeol Yoo
Summary: With the increasing use of wireless electronic devices, electromagnetic pollution has become a serious threat. This study investigates the advantages of adding carbon fibers to strain-hardening cementitious composites (SHCCs) to enhance their mechanical and electrical properties as electromagnetic shielding materials. The results show that the addition of carbon fibers improves the tensile performance, energy absorption capacity, electrical conductivity, and EMI shielding effectiveness of the SHCCs. This study provides a basis for evaluating the EMI shielding effectiveness of damaged structures.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Construction & Building Technology
Gi Woong Kim, Taekgeun Oh, Seung Kyun Lee, Seung Won Lee, Nemkumar Banthia, Eunjong Yu, Doo-Yeol Yoo
Summary: The effects of steel and polyethylene (PE) fiber hybrid reinforcement on the mechanical performance of cementless ultra-high performance alkali-activated concrete (UHP-AAC) were studied. The compressive and tensile strengths were reduced when steel fibers were replaced with PE fibers. The best performance was observed in the hybrid specimens with a medium-grade fine aggregate-to-binder (FA/B) ratio.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Rongzhen Piao, Taekgeun Oh, Gi Woong Kim, Hong-Joon Choi, Nemkumar Banthia, Doo- Yeol Yoo
Summary: This study investigates the effect of silicon dioxide nanoparticles (nano-SiO2) on the microstructure and mechanical properties of eco-friendly, cementless ultra-high-performance fiber-reinforced alkali-activated concrete (UHP-FRAAC). The results showed that the addition of nano-SiO2 improves the packing density of UHP-AAC and generates abundant C-(A-)S-H gels to increase its density. The optimal dosage of nano-SiO2 in UHP-FRAAC was suggested to be 2% by mass of silica fume.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Booki Chun, Taekgeun Oh, Hong-Joon Choi, Seung Kyun Lee, Nemkumar Banthia, Doo-Yeol Yoo
Summary: This study investigates the self-healing capacity of ultra-rapid-hardening fiber-reinforced cementitious composites. Different lengths of polyethylene (PE) fibers were incorporated with different volume fractions. The fiber reinforcing index was proportional to the tensile performance, with the length of the PE fiber being more dominant. Specimens with 2% medium-length fibers showed the most appropriate self-healing behavior.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Chemistry, Physical
Haowei Li, Jun Li, Xiaoyu Wang, Caiyue Xie, Yifei Wang, Xifeng Ding
Summary: A-type cation-deficient perovskite material has been explored as a prospective cathode for PCFCs, which can reduce polarization resistance and enhance hydration capability. This research provides an effective methodology for designing high-performance cathodes to enhance the efficiency of PCFCs.
ACS APPLIED ENERGY MATERIALS
(2023)
Article
Construction & Building Technology
Joo Ha Lee, Doo-Yeol Yoo
Summary: This study aims to design a high-performance fiber-reinforced cementitious composite (HPFRCC) material for reinforcing masonry walls and assess its impact on in-plane shear performance. The study found that HPFRCC significantly enhances the shear strength and energy dissipation capacity of masonry walls.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Gi Woong Kim, Taekgeun Oh, Booki Chun, Seung Won Lee, Chung-Chan Hung, Doo-Yeol Yoo
Summary: By modifying the surface of steel fibers with an EDTA-electrolyte solution, the mechanical performance of UHP-AAC was improved, leading to higher fiber bond strength and tensile strength. The best tensile performance was achieved when straight steel fibers were surface-refined by the EDTA-electrolyte solution for 6 hours. The Weibull distribution model was used to predict crack width, and it was found that the surface treatment using EDTA solution had marginal influence on the median microcrack width of UHP-AAC, while straight and twisted fibers produced wider cracks.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Jiale Zhou, Peng Yu, Doo-Yeol Yoo, Lie Yu, Lu Ke
Summary: This study investigates the effect of different types of stirrup and cross-sectional dimensions on the torsional behaviors of ultra-high-performance fiber-reinforced concrete hollow beams. The results show that the inclusion of flanges substantially influences the torsional strength of the beams, attributed to the section torsional plastic resistance moment and UHPFRC tensile capacity in flanges.
DEVELOPMENTS IN THE BUILT ENVIRONMENT
(2023)
Article
Construction & Building Technology
Qi Jiang, Wei Liu, Shaopeng Wu, Xuanwen Gou
Summary: This study analyzes the erosion mechanisms of NaCl solution on asphalt concrete and finds that NaCl solution softens asphalt and promotes the intrusion of crystalline salt into it. Salt crystallization alters the surface roughness of aggregates, resulting in a decrease in skid resistance but an improvement in compressive strength. Additionally, the concentration of NaCl solution initially has no significant impact on the mechanical performance of asphalt concrete, but its domination gradually increases with the intensification of cyclic effects.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Lili Kan, Lan-qing Dai, Ning Kong, Bin Peng, Fei Wang
Summary: This paper investigates the effect of freezing and thawing cycles on the tensile behavior of cracked ultra-high performance concrete (UHPC). The results show that long-term freezing and thawing action deteriorates the cracking strength, tensile strength, tensile strain, and strain energy of cracked UHPC. On the other hand, the action of water generally favors the development of tensile properties of UHPC. The crack distribution tends to be unsaturated under freezing and thawing environment, and the re-hydration reaction is hindered. The pore structure near the crack varies under different environments.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Xin Xiao, Jingwei Li, Qingke Meng, Xiangshan Hou, Yanhui Liu, Xujiang Wang, Wenlong Wang, Shengtao Lu, Yuzhong Li, Yanpeng Mao, Tong Li
Summary: Preparing gypsum-based self-leveling mortar (GSLM) using beta-hemihydrate gypsum and solid wastes-derived sulfoaluminate cement (WSAC) can improve the mechanical performance of the mortar, but phosphorus impurities can weaken the hydration speed and degree.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Sihang Bao, Junzhen Di, Yanrong Dong, Ziqing Gao, Qing Gu, Yuanfang Zhao, Hongyu Zhai
Summary: Tailings dam break and leakage accidents pose a threat to the safety of people in mining areas and cause severe environmental pollution. This study focuses on solidifying tailing sand using microbial induced calcite precipitation (MICP) to improve strength and fix heavy metals. The curing time of MICP bio-cemented tailings is found to significantly impact the strength of tailings, while its effect on heavy metal fixation is minimal. The optimized MICP curing time is 10 days, resulting in improved strength and cementation of tailings particles.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Ferhat Benmahiddine, Fares Bennai, Achraf Charaka, Ameur El Amine Hamami, Abdelkader Tahakourt, Rafik Belarbi
Summary: This paper studied the effects of hysteresis on the hygrothermal behavior at the building scale. Through laboratory validation and numerical simulations, it was found that hysteresis has a significant impact on the relative humidity and total heat fluxes in buildings, while it does not have a noticeable effect on temperature variations.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
You Gao, Wei He, Xiayang Zhang, De'an Sun, Pei Li
Summary: This study determined the boundary line between the swelling and compression deformation zone in lateritic clay through wetting tests, and proposed a simple bimodal SWRC model. It also found that the existing strength model underestimated the tested values in the medium to high suction range, therefore a segmented strength equation was introduced for enhanced predictions of the strength properties of lateritic clay.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Prabhath Ranjan Kumar Soda, Asheer Mogal, Kalyan Chakravarthy, Nikhil Thota, Nimish Bandaru, Sanjay Kumar Shukla, K. M. Mini
Summary: This study investigates the use of encapsulated bacteria to improve the self-healing ability of concrete. Through various tests, it is found that using 20% cement-coated alginate beads (CCAB) and 5% nanosilica (NS) can achieve optimal strength and healing. This research is significant for enhancing the durability of concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Shizhe Wang, Haiping Wu, Wen Yang, Wei Wang, Zhibo Zhu, Kun Nie, Luoxin Wang, Hua Wang, Jing Wu
Summary: In this study, photothermal-heat storage concrete (PHSC) was developed with excellent photothermal conversion performance and heat storage capacity. By absorbing and storing solar energy during the day and releasing it at night, PHSC can effectively reduce energy consumption in buildings.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Robin Deb, Jialuo He, Geetika Mishra, Yaghoob (Amir) Farnam
Summary: Incorporation techniques of phase change materials in cementitious composites have a significant influence on thermal properties. This study investigated the thermal behavior of low-temperature PCM when subjected to varying temperature change rates and pore confinement inside the porous network of lightweight aggregates. The results showed that ramp rates affect the nucleation and crystallization growth process during the phase transition, and the pore structure of the aggregates affects the supercooling phenomenon and confinement pressure of the PCM.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Eduardo Ferreira, Payam Sotoudeh, Dagmar Svecova
Summary: This study investigates the fatigue behavior of concrete under different stress reversal conditions. The results indicate that stress reversal generally causes more severe damage and reduces the cycles to failure compared to tensile fatigue. Additionally, adding some level of compression contributes to the energy required for failure under stress reversal fatigue. Specimens with higher concentration of fractured aggregates achieve longer fatigue lives.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Mag Raj Gehlot, Sandeep Shrivastava
Summary: This study evaluates the compatibility relationship between plaster bonds and the substrate under an accelerated aging environment, and finds that incorporating an appropriate amount of granite cutting waste can improve the strength parameters and adhesion of the cement mortar.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Min Zhang, Qirui Luo, Mingke Deng, Shixing Zhao
Summary: This study investigated the bond behavior between carbon FRCM composites with added short fibers and concrete substrates. The effects of different factors were considered and 36 specimens were tested and discussed. The experimental results were analyzed in terms of failure mode, load-slip curve, and characteristic parameters, and the contribution of weft yarns was taken into account in the developed bondslip model.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Dengkai Liu, Hongniao Chen, Ray Kai Leung Su
Summary: The susceptibility of building stones to fire and high temperature was investigated in this study by examining their physical and mechanical properties. The results show that both compressive and tensile properties of stones are affected by temperature changes. The tensile strength is particularly sensitive to temperature changes, requiring special attention to the components subjected to tensile stress in stone buildings. Principal component analysis was used to predict the mechanical properties of stones, providing a new method for calculating the residual mechanical properties after high temperature or fire.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Joso Maria Raposo, Eduardo Cavaco, Luis Costa Neves, Eduardo Julio
Summary: This paper investigates the correlation between the friction coefficient and the surface roughness of concrete-to-concrete interfaces. Experimental tests were performed on specimens with different surface treatments, and the surface roughness parameters were analyzed and correlated with the shear strength and friction coefficient. The results showed that certain roughness parameters had a strong positive correlation with the friction coefficient, while others had little or no correlation. A novel combined roughness parameter with optimized correlation was proposed.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Chiara Riccardi, Massimo Losa
Summary: The interest in using bio materials in asphalt pavements is growing due to economic reasons and environmental benefits. This study aimed to review the use of bio extenders as additives in binders, with a focus on replacements greater than 20% of fossil binder. The properties of bio-extended binders were found to vary substantially depending on the biomass source and production process.
CONSTRUCTION AND BUILDING MATERIALS
(2024)