Article
Soil Science
Damian Stefanow, Piotr A. Dudzinski
Summary: The paper discusses various methods for determining soil shear strength and highlights the significant impact of factors such as measurement speed and geometric parameters. It concludes with guidelines for selecting the most suitable method for accurately measuring soil traction properties.
SOIL & TILLAGE RESEARCH
(2021)
Article
Multidisciplinary Sciences
Kamil Kayabali, Nihan P. Yilmaz, Mehmet C. Balci, Deniz Yilmaz
Summary: Identifying strength parameters under drained conditions is crucial for monitoring and evaluating long-term soil deformations caused by structures built on or in soils. This study explores the possibility of using a vane shear test at low rotation speeds to identify the effective internal friction angle of remolded soils. The results indicate that the vane shear test can be used to predict phi', but the predictions may be influenced by certain factors.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Hossein Moayedi, Mesut Gor, Loke Kok Foong, Mehdi Bahiraei
Summary: The study uses 2430 finite element modelling simulations to forecast the value of bearing capacity in shallow footings. By combining artificial neural networks (ANN) with imperialist competitive algorithm (ICA), a new ICA-MLP model is developed to accurately predict vertical settlement.
Article
Computer Science, Artificial Intelligence
Xin-rui Tao, Jun-qing Li, Ti-hao Huang, Peng Duan
Summary: The research on resource-constrained hybrid flowshop problem led to the proposal of a discrete imperialist competitive algorithm (DICA) to minimize makespan and energy consumption. The algorithm represents solutions using two-dimensional vectors, with one for scheduling sequence and the other for machine assignment, and incorporates a decoding method considering resource allocation. By combining DICA with simulated annealing algorithm (SA), the proposed approach showed high efficiency in solving the RCHFS problem.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Construction & Building Technology
Morteza Esmaeili, Ali Pourrashnoo
Summary: This study investigates the effect of encasing ballast with geogrid on its shear behavior. The experimental results show that the particle size distribution, uniformity coefficient, and applied normal stress have an influence on the shear strength of ballast. Furthermore, encasing the ballast with geogrid improves its shear behavior.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Geosciences, Multidisciplinary
Guangzhong Hu, Lijuan Wang, Jun Bai, Song Ma, Yao Tang
Summary: The dynamic response of a rock mass is influenced by its joint surface. The degradation of joint surface is important for calculating the shear strength of structural planes under cyclic load. However, there is still a lack of established and reliable method for calculating the cyclic shear strength of rock mass discontinuities. This study analyzes the deterioration effect of the joint surface's shear strength under cyclic shearing and proposes a calculation method for the shear strength of the structural surface. The proposed method is validated through case analysis.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Energy & Fuels
Henok Hailemariam, Frank Wuttke
Summary: This paper presents the findings of a laboratory study on the shear strength and yielding behavior of two glacial till soil deposits, noting a mild reduction in effective friction angle of less than 1 degree with an increase in temperature from 20 to 60 degrees C. The insights provided can contribute to the enhancement of existing soil constitutive models and the development of new models suited to glacial tills under elevated temperatures.
Article
Computer Science, Interdisciplinary Applications
Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, Biswajeet Pradhan, Panagiotis G. Asteris, Romulus Costache, Jagannath Aryal
Summary: In this study, a new artificial intelligence model was proposed for predicting the friction angle of clays from different areas. Through various tests and comparisons, it was found that this model can accurately predict the friction angle of clays from different regions.
ENGINEERING WITH COMPUTERS
(2022)
Article
Construction & Building Technology
Carmine Todaro, Andrea Carigi, Daniele Martinelli, Daniele Peila
Summary: The two-component backfilling system is the most commonly used method to fill the annular void created during the advancement of shield machines. Research shows that shear strength grows rapidly over time.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2021)
Article
Materials Science, Ceramics
Hao Feng, Daochun Xu, Jingqi Liu, Yifei Yang, Zhi Xie
Summary: In this study, a shear angle model that considers internal friction was proposed and compared with classical shear angle models. The internal friction angle ranges from 21.3 degrees to 36.0 degrees and the shear angle ranges from 29.9 degrees to 38.0 degrees were measured and calculated. The improved model can better characterize the cutting properties of metallic glasses.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2023)
Article
Energy & Fuels
Majid Khanali, Asadollah Akram, Javad Behzadi, Fatemeh Mostashari-Rad, Zahra Saber, Kwok-wing Chau, Ashkan Nabavi-Pelesaraei
Summary: The study focuses on the energy flow and environmental emissions of walnut orchards in Alborz province of Iran, aiming to optimize them through a multi-objective imperialist competitive algorithm. Results show energy inefficiency in walnut production, with gasoline being the dominant energy consumer. Environmental findings indicate on-orchard emissions and gasoline as the main hotspots.
Article
Geochemistry & Geophysics
Amir Joolaei, Alireza Arab-Amiri, Ali Nejati
Summary: Traditionally, local deterministic optimization techniques have been used for nonlinear gravity inversion problems, but recently global optimization methods such as a hybrid of ICA and FA algorithm have shown promising results. This hybrid method improves exploratory capability and convergence rate, making it a potential alternative to local optimization techniques in highly nonlinear geophysical problems.
Article
Computer Science, Interdisciplinary Applications
A. Kaveh, P. Rahmani, A. Dadras Eslamlou
Summary: This paper introduces a new hybrid algorithm ICHHO, combining HHO and ICA, which successfully improves the search strategy and demonstrates competitive performance through comparisons with other techniques and problems.
ENGINEERING WITH COMPUTERS
(2022)
Article
Construction & Building Technology
Jianyang Cai, Haidong Yang, Tiancheng Lai, Kangkang Xu
Summary: A new optimization algorithm based on an improved imperialist competitive algorithm (ICA-DE) is proposed to reduce the energy consumption of a multi-chiller system. The idea of differential mutation proposed by differential evolution (DE) was applied to create more new locations for colonies and increase population diversity in the assimilation process of ICA. The ICA-DE method was used to distribute the partial load rate (PLR) of chillers and achieved good results in reducing energy consumption.
ENERGY AND BUILDINGS
(2023)
Article
Environmental Sciences
Min Wang, Zhenying Zhang, Hui Xu, Chengyu Nie, Bang Wang, Menghe Huang, Tuo Li
Summary: The reinforcement strength characteristics of mechanically biologically treated (MBT) waste were studied through tests, where the effects of different reinforcement materials and layers were assessed. The results showed that the reinforcement effect varies with the type of material and number of layers, and the strength ratio is influenced by the confining pressure and reinforcement layers. The findings provide valuable reference for stability assessment of MBT waste landfills.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Wei Gao, Mehdi Raftari, Ahmad Safuan A. Rashid, Mohammed Abdullahi Mu'azu, Wan Amizah Wan Jusoh
ENGINEERING WITH COMPUTERS
(2020)
Article
Computer Science, Interdisciplinary Applications
Jalal Alsarraf, Hossein Moayedi, Ahmad Safuan A. Rashid, Mohammed Abdullahi Muazu, Amin Shahsavar
ENGINEERING WITH COMPUTERS
(2020)
Review
Computer Science, Artificial Intelligence
Hossein Moayedi, Mansour Mosallanezhad, Ahmad Safuan A. Rashid, Wan Amizah Wan Jusoh, Mohammed Abdullahi Muazu
NEURAL COMPUTING & APPLICATIONS
(2020)
Article
Computer Science, Interdisciplinary Applications
Xuan-Nam Bui, Mohammed Abdullahi Muazu, Hoang Nguyen
ENGINEERING WITH COMPUTERS
(2020)
Article
Computer Science, Interdisciplinary Applications
Puteri Azura Sari, Meldi Suhatril, Normaniza Osman, M. A. Mu'azu, Javad Katebi, Ali Abavisani, Naser Ghaffari, Esmaeil Sadeghi Chahnasir, Karzan Wakil, Majid Khorami, Dalibor Petkovic
ENGINEERING WITH COMPUTERS
(2020)
Article
Computer Science, Interdisciplinary Applications
Dieu Tien Bui, Mu'azu Mohammed Abdullahi, Soheil Ghareh, Hossein Moayedi, Hoang Nguyen
Summary: The study utilized the whale optimization algorithm (WOA) and neural network (NN) to predict the concrete compressive strength (CSC), optimized the model structure through population-based sensitivity analysis, with results showing that WOA-NN provided the most reliable prediction.
ENGINEERING WITH COMPUTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Hossein Moayedi, Mohammed Abdullahi Mu'azu, Loke Kok Foong
Summary: The paper investigates the social behavior of Grey Wolf Optimization (GWO) in enhancing the neural assessment of friction capacity of concrete driven pile systems, compared with genetic programming (GP) algorithm. Through sensitivity analysis and neural network, it is found that GWO performs better in predicting engineering solutions.
ENGINEERING WITH COMPUTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Qiancheng Fang, Behnam Yazdani Bejarbaneh, Mohammad Vatandoust, Danial Jahed Armaghani, Bhatawdekar Ramesh Murlidhar, Edy Tonnizam Mohamad
Summary: This study proposes four accurate and practical predictive models of UCS using artificial intelligence techniques, with the genetic programming model showing the best performance in accurately estimating the uniaxial compressive strength of granite block samples as compared to other proposed models.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Environmental
Jian Zhou, Behnam Yazdani Bejarbaneh, Danial Jahed Armaghani, M. M. Tahir
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2020)
Article
Construction & Building Technology
Hossein Moayedi, Mohammed Abdullahi Mu'azu, Loke Kok Foong
ENERGY AND BUILDINGS
(2020)
Article
Materials Science, Ceramics
Loke Kok Foong, Mohammed Abdullahi Mu'azu, Zongjie Lyu
CERAMICS INTERNATIONAL
(2020)
Article
Computer Science, Artificial Intelligence
Zimu Li, Behnam Yazdani Bejarbaneh, Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, M. M. Tahir
Summary: This research aimed to propose an optimal predictor model of TBM performance using data-mining techniques such as neural networks, gene expression programming, and multivariate adaptive regression splines, along with field assessment and laboratory testing. The developed GEP and NN models provided more accurate predictive results compared to the MARS model, with an increase of 7.25% in PR value achieved through the optimized GEP equation.
Article
Geosciences, Multidisciplinary
Mohammed A. Mu'azu
Summary: This study investigates the efficacy of teaching-learning-based optimization (TLBO) for tuning artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of the factor of safety for soil slope-footing system. The results show that TLBO can significantly improve the predictive accuracy of both models.
MATHEMATICAL GEOSCIENCES
(2023)
Article
Engineering, Multidisciplinary
Mohammed Abdullahi Mu'azu
Summary: Choosing a suitable training technique, hybridized with various optimization algorithms, is crucial for bearing capacity analysis. The study highlights the significance of applied stress as the most important input factor. The ESDA-ANN model demonstrates the best fit to the training and testing datasets based on RMSE and MAE values.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Bhatawdekar Ramesh Murlidhar, Behnam Yazdani Bejarbaneh, Danial Jahed Armaghani, Ahmed Salih Mohammed, Edy Tonnizam Mohamad
Summary: The study aimed to develop tree-based data mining algorithms to accurately predict blast-induced air overpressure in granite quarries. The genetic programming (GP) model outperformed other models in terms of RMSE, R-2, and MAE, demonstrating its robustness and applicability.
NATURAL RESOURCES RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.