Article
Construction & Building Technology
Ali Jamshidi, Greg White, Mehdi Hosseinpour
Summary: The study proposed non-dimensional indices to characterize the trends of dynamic modulus changes at different temperatures and frequencies. ANOVA results indicated parameters are functions of temperature, frequency, and interactions. Furthermore, trends analysis showed that phi M-F values converge at 3% as temperature increases, while phi E* shows a decreasing trend.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Javilla Barugahare, Armen N. Amirkhanian, Feipeng Xiao, Serji N. Amirkhanian
Summary: ANN-based dynamic modulus models outperform regression models on South Carolina's asphalt mixtures, especially when using a few input variables to highly accurately predict |E*|. The accuracy of predicting |E*| is higher with locally customized ANNs.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2021)
Article
Construction & Building Technology
Ying Fang, Zhengqi Zhang, Suqing Wang, Jianhua Yang, Xinjun Li
Summary: This study proposes a solution for the serious rutting disease of the semirigid base asphalt pavement and analyzes the mechanical response and parameters applicable to the pavement structure. The study also analyzes the antirutting behavior of a high modulus asphalt concrete and demonstrates the effectiveness of adding a high modulus layer to improve the rutting resistance of the pavement structure.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2022)
Article
Construction & Building Technology
Qinxue Pan, Cece Zheng, Xiaojin Song, Songtao Lv, Huanan Yu, Junhui Zhang, Milkos Borges Cabrera, Honglin Liu
Summary: The bimodulus elasticity theory was introduced into pavement mechanical analysis for the first time in this study, resulting in the discovery of nonlinear and anisotropic mechanical properties of asphalt pavements based on this theory. The application of bimodulus elasticity theory in asphalt pavement design is affected by the differences in tensile and compression moduli, suggesting the use of this theory in mechanical calculations.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Jun Zhang, Liangliang Bao
Summary: The paper develops a theoretical method to determine the Burgers model parameters of asphalt mixture by transforming dynamic modulus, which is verified through laboratory experiments, analytical derivation, and numerical modeling. Furthermore, a viscoelastic numerical modeling for Cagliari Elmas airport asphalt pavement's mechanical response is conducted using this method, and the comparison of results validates the efficiency and accuracy of the developed method.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Xuemei Zhang, Hao Chen, Rabbira Garba Saba, Lisa Tronhuus Hannasvik
Summary: This study aims to investigate the variations in dynamic modulus and phase angle in the longitudinal and lateral directions of asphalt pavement. Core samples were taken from four road sections and characterized by indirect tensile test. The results show that the lateral and longitudinal differences induce more severe variations in dynamic modulus and phase angle compared with laboratory samples. A correlation between service life and the variations in dynamic modulus and phase angle is found for lateral samples.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Civil
Hampton Worthey, Jidong J. Yang, S. Sonny Kim
Summary: This study investigated the feasibility of developing alternative prediction models for hot mix asphalt dynamic modulus using modern machine learning techniques, with the gradient boosting model producing the most accurate predictions. Local calibration for MEPDG models is necessary, and there is high potential for greatly improved models using modern machine learning techniques and local data sources.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Construction & Building Technology
Wei Jiang, Xianwu Ling, Dongdong Yuan, Jingjing Xiao, Xueyuan Ren, Jingxiao Li, Zhiyu Fu
Summary: To promote sustainable road engineering, this paper introduces a novel ASP pavement structure consisting of SMA-13 asphalt mixture, Q345D steel plate, and ABS plastic. Through experiments and finite element simulations, it is found that the ASP pavement structure exhibits similar strain and stress behavior compared to typical pavement structures, but with a smaller material value in the bearing layer, allowing for better transfer and support of vehicle loads.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Ahmad Al-Tawalbeh, Okan Sirin, Mohammed Sadeq, Haissam Sebaaly, Eyad Masad
Summary: The study aimed to calibrate and validate two commonly used models for predicting the dynamic modulus of asphalt mixtures in Qatar. The Hirsch model showed high prediction performance, which improved slightly after calibration. The Alkhateeb model also showed improvement after calibration. The calibrated Hirsch model achieved a significant improvement in predicting the performance of typical pavement sections in Qatar.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Construction & Building Technology
Jingnan Zhao, Hao Wang
Summary: The study found that dynamic load coefficients increase as pavement roughness increases or axle loads decrease. The impulse response method was used to calculate tensile strains of the asphalt layer under random loads, and an accumulative fatigue damage ratio was proposed for M-E pavement analysis.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Songtao Lv, Jiang Yuan, Xinghai Peng, Naitian Zhang, Hongfu Liu, Xinzi Luo
Summary: This study analyzed the influence of pavement structure modulus on the pavement service life using a three-dimensional finite element pavement structure model. By determining the optimal modulus combination through multi-factor range analysis, it was found that the mechanical response and fatigue life of the optimized pavement structure were significantly improved.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Mechanics
Mohammad Dareyni, Seyed Vahid Pourjafar, Abolfazl Mohammadzadeh Moghaddam
Summary: So far, studies on the feasibility of using emulsified asphalt as an additive in different types of cement concrete have shown promising results. However, there is limited research on the dynamic and cracking behavior of Roller Compacted Concrete (RCC) containing Cationic Emulsified Asphalt (CEA). This study conducted experiments on different specimens to assess the effect of CEA on fracture properties, dynamic modulus, and mechanical properties of RCC. The results showed a decrease in cracking resistance with the addition of 4% or more CEA, while an increase in fracture energy was observed with 6% or more CEA. The behavior of RCC with CEA additive remained within the linear elastic range.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Construction & Building Technology
Firas Barraj, Adel Elkordi
Summary: This study investigated the pros and cons of using unclassified fractionated RAP in Superpave asphalt mixtures at different percentages. The results indicated that there was no significant difference in dynamic modulus and phase angle properties between different percentages of unclassified RAP materials and conventional hot asphalt mixture, suggesting that the use of unclassified RAP materials may indeed be appropriate. Additionally, flow number tests were conducted to evaluate the rutting resistance of the mixtures.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Green & Sustainable Science & Technology
Tiancheng Liu, Shu Yang, Xia Jiang, Bo Liao, Elvis A. Castillo-Camarena
Summary: This study evaluated the impact of climate change on pavement infrastructure in China and proposed six adaptation measures to address the issues caused by climate change. It assessed and analyzed the pavement problems based on temperature change predictions and climate models and found that temperature rise, rutting, and fatigue are typical issues caused by climate change.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Menglim Hoy, Vaiphot Samrandee, Worachet Samrandee, Apichat Suddeepong, Itthikorn Phummiphan, Suksun Horpibulsuk, Apinun Buritatum, Arul Arulrajah, Chakkrid Yeanyong
Summary: This study evaluated the performance of recycled asphalt pavement (RAP) as a substitute for natural aggregate in the maintenance of asphalt concrete for flexible pavements. The research also compared the mechanistic performance of warm mix and cold mix asphalt concretes using RAP. The results showed that RAP-AC60/70 and RAP-CMS-2 h mixtures had comparable performance to the conventional limestone-AC60/70 mixture, with lower material cost.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Management
Payam Goodarzizad, Emadaldin Mohammadi Golafshani, Mehrdad Arashpour
Summary: This study aims to measure the construction labour productivity (CLP) of concrete pouring operations in commercial-office complex projects in Iran and identify the significant factors affecting CLP. The findings can help improve project scheduling efficiency, increase CLP, and reduce project costs.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
Article
Engineering, Civil
Amir Tavana Amlashi, Emadaldin Mohammadi Golafshani, Seyed Abolfazl Ebrahimi, Ali Behnood
Summary: This study develops three accurate models to estimate the compressive strength of concrete containing rice husk ash (RHA) using machine learning-based approaches. The results show that all three techniques provide reliable estimations of concrete compressive strength, with the artificial neural network (ANN) model performing the best.
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Mehrdad Arashpour, Emad M. Golafshani, Rajendran Parthiban, Julia Lamborn, Alireza Kashani, Heng Li, Parisa Farzanehfar
Summary: In this study, a hybrid model combining support vector machine (SVM) and artificial neural network (ANN) with teaching-learning-based optimizer (TLBO) was developed to predict student exam performance reliably. This model can provide timely support and improve the learning experience for students.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
(2023)
Article
Computer Science, Artificial Intelligence
Emadaldin Mohammadi Golafshani, Ali Behnood, Mehrdad Arashpour
Summary: This study uses the interval type-2 fuzzy inference system (IT2FIS) to develop predictive models for the compressive strength (CS) of concretes containing supplementary cementitious materials (SCMs). The results show that the developed IT2FIS models have good generalization capabilities. The cement content is found to have the most significant positive effect on the CS of concrete.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Construction & Building Technology
Amir Bahador Moradikhou, Majid Safehian, Emadaldine Mohammadi Golafshani
Summary: Geopolymers have gained attention as an environmentally-friendly alternative to Ordinary Portland Cement (OPC). This study investigates the use of Coal Washing Waste (CWW) as a waste aluminosilicate source for Geopolymer Concrete (GPC). The research finds that the thermal activation conditions of CWW significantly affect the properties of the obtained ash. Rapid and abrupt cooling of the ash after heat treatment results in higher pozzolanic reactivity and compressive strength. GPC made from CWW ash shows higher mechanical strengths, resistance to acidic conditions, and low water absorption capacity.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Rashed Alsharif, Mehrdad Arashpour, Emad Golafshani, Ali Rashidi, Heng Li
Summary: Buildings contribute significantly to energy consumption due to suboptimal shading device configurations that result in excessive solar heat gain. While previous research has aimed at optimizing shading devices for different objectives, such as energy consumption and occupant comfort, there is a lack of in-depth exploration on the amorphous optimization of shading devices using sophisticated modeling tools. This study presents updates to an existing framework for optimizing shading devices for multiple objectives, including occupants' thermal discomfort, heating and cooling loads, and total shading devices' surface area. The updates include amorphous optimization of fixed shading devices, the use of orthogonally structured training datasets for machine learning model development, and the incorporation of the modern Multi-Objective Manta-Ray Foraging Optimizer (MOMRFO) technique in the optimization phase.
ENERGY AND BUILDINGS
(2023)
Article
Forestry
Sadegh Khanmohammadi, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Miguel G. G. Cruz, Abbas Rajabifard
Summary: This study aims to predict the onset of fire propagation and the type of fire behaviour in southern Australian semiarid shrublands using machine-learning methods. The results demonstrate that Support Vector Machine is the optimum machine learning classifier and accurately predicts fire spread sustainability and active crown fire propagation.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2023)
Article
Construction & Building Technology
Mohamed El Amine Ben Seghier, Emadaldin Mohammadi Golafshani, Jafar Jafari-Asl, Mehrdad Arashpour
Summary: Waste glass can be used in concrete mixtures to prevent pollution, and the properties of the concrete need to be examined before practical use. Compressive strength is an important characteristic of concrete, and machine learning methods can help in modeling it. In this study, a comprehensive database of waste glass-included concrete was collected and different machine learning methods were used to model the compressive strength.
STRUCTURAL CONCRETE
(2023)
Review
Transportation
Milad Haghani, Rico Merkert, Ali Behnood, Chris De Gruyter, Khashayar Kazemzadeh, Hadi Ghaderi, Zahra Shahhoseini, Vinh Thai, Elnaz Irannezhad, Behnam Fahimnia, S. Travis Waller, David A. Hensher
Summary: In response to the COVID-19 pandemic, scholars have actively addressed its far-reaching societal problems. A new field of transportation science has quickly emerged, focusing on mobility restrictions during the pandemic. This study examines over 400 COVID-19-related studies published in transportation journals between 2020 and 2021, aiming to scope this newly developed research area, outline its diversity, and provide a roadmap for future research. The results show that the COVID-19 segment has developed its own knowledge foundation independent of pre-pandemic studies, and its potential impacts on transportation journals are quantified and discussed.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Emadaldin Mohammadi Golafshani, Alireza Kashani, Ali Behnood, Taehwan Kim
Summary: The use of supplementary cementitious materials in concrete can reduce the negative environmental impacts, however, the durability and resistance of recycled aggregate concrete (RAC) must be studied. The combination of machine learning techniques and RCMT can save time, cost, materials, and the need for skilled technicians.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Ramin Kazemi, Emadaldin Mohammadi Golafshani, Ali Behnood
Summary: This study presents a sophisticated AI framework for modeling the compressive strength of concrete containing waste foundry sand. The ACO + ANN model shows the best performance with high accuracy and minimal need for laboratory tests and skilled technicians.
STRUCTURAL CONCRETE
(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)