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Articles 391 - 420 of 20615
Full-Text Articles in Engineering
Reliability Of Offshore Plate Anchor Design In Sand For Uplift Limit State, Yu-Ting Li, Xiao-Bin Chen, Peng-Peng He
Reliability Of Offshore Plate Anchor Design In Sand For Uplift Limit State, Yu-Ting Li, Xiao-Bin Chen, Peng-Peng He
Rock and Soil Mechanics
The offshore wind industry needs to move towards floating offshore wind turbines (FOWTs) that are secured to the seabed with anchoring systems in order to harness the more substantial amounts of offshore wind resources available in deep waters. The design of the anchoring system for FOWTs is crucial to ensure stability and safety in challenging offshore conditions. As a simplified reliability- based design approach, the partial safety factor method remains important in current offshore foundation design practice, but its effectiveness in achieving the required target safety level still needs to be examined. To achieve this end, a reliability analysis is …
Analysis Of Factors Affecting Permeability Of Calcareous Sand In Salt Solution Environment, Si-Wei Zheng, Ming-Jian Hu, Yu-Long Huo, Yu Li
Analysis Of Factors Affecting Permeability Of Calcareous Sand In Salt Solution Environment, Si-Wei Zheng, Ming-Jian Hu, Yu-Long Huo, Yu Li
Rock and Soil Mechanics
Permeability is the capacity of a soil for transmitting a fluid, e.g., a salt solution, through soil pores. The permeability coefficient K is an important measurement of the soil permeability, which is affected by various factors. The existing research on the permeability of sandy soil is basically carried out in the freshwater environment. However, the calcareous sand is a typical marine sedimentary sand, which is deposited in the seawater environment with certain salt concentrations. In order to investigate the influence of void ratio, particle size and concentration of the salt solution on the permeability of calcareous sand in a salt …
Strength Model Of Anisotropic Rocks Based On Hoek-Brown Criterion, Guo-Xiao Li, Hang-Long Wang, Jun Peng, Lin-Fei Wang, Bi-Bo Dai
Strength Model Of Anisotropic Rocks Based On Hoek-Brown Criterion, Guo-Xiao Li, Hang-Long Wang, Jun Peng, Lin-Fei Wang, Bi-Bo Dai
Rock and Soil Mechanics
In order to improve the applicability of Hoek-Brown failure criterion and reduce subjectivity in the determination of geological strength index (GSI) value for anisotropic rocks, a modified Hoek-Brown failure criterion is proposed, which considers the variation of the GSI value with the bedding angle of anisotropic rocks. Triaxial compression test data of anisotropic rocks with different bedding angles were first collected. The results show that the peak strength of anisotropic rocks exhibits a U-shaped relation with bedding angle . Then, the rock specimen with the bedding angle = 0º is defined as the intact rock. The uniaxial compressive strength …
Correlation Between Macro And Micro Mechanical Parameters Of Marble Based On Nanoindentation Experiment, Xian-Hui Chen, Yi Cheng, Xin-Yue Xie, Mi-Mi Chen
Correlation Between Macro And Micro Mechanical Parameters Of Marble Based On Nanoindentation Experiment, Xian-Hui Chen, Yi Cheng, Xin-Yue Xie, Mi-Mi Chen
Rock and Soil Mechanics
Nanoindentation experiment is an important means to study micro mechanical properties of rock. Up to now only a few studies have discussed the correlation between the micro mechanical properties of rock and various macroscopic strengths of the rock. Firstly, the nanoindentation experiments on four different kinds of marble were carried out by the continuous stiffness measurement technique to obtain the micro mechanical parameters of dolomite and calcite. Secondly, the microscopic data scale was upgraded by Mori-Tanaka method to obtain the homogenized elastic modulus and Poisson’s ratio. Finally, the correlation between the microscopic parameters and the macroscopic mechanical experiment results was …
Fatigue Analysis Of Jacket Foundations For Offshore Wind Turbines, Yue-Ming Du, De-Qiong Kong, Si-Liu Wang, Bin Zhu
Fatigue Analysis Of Jacket Foundations For Offshore Wind Turbines, Yue-Ming Du, De-Qiong Kong, Si-Liu Wang, Bin Zhu
Rock and Soil Mechanics
Jacket foundations are considered as the most promising solution for offshore wind turbines (OWTs), due to its large lateral stiffness and adaptability to different marine environments. Nowadays, the study on jacket foundations mainly focuses on the bearing and deformation behavior, with significantly less attention being paid to their fatigue damage. Besides, the actual pile-soil interaction is always ignored when assessing the fatigue damage or fatigue life of the foundations for OWTs. This paper presents the development of a three-dimensional numerical model of tetrapod piled jacket foundations, with the interaction between the corner piles and the soil being implemented into it. …
Meso-Fracture Evolution Characteristics Of Freeze-Thawed Sandstone Based On Discrete Element Method Simulation, Yong-Jun Song, Yin-Wei Sun, Chen-Jing Li, Hui-Min Yang, Lei-Tao Zhang, Li-Jun Xie
Meso-Fracture Evolution Characteristics Of Freeze-Thawed Sandstone Based On Discrete Element Method Simulation, Yong-Jun Song, Yin-Wei Sun, Chen-Jing Li, Hui-Min Yang, Lei-Tao Zhang, Li-Jun Xie
Rock and Soil Mechanics
To investigate the mesoscopic damage accumulation and the loading-induced fracture process in freeze-thawed rocks, a method coupling water-ice particle phase transition and expansion based on the discrete element method is proposed. The rock freeze-thaw process is simulated using a particle flow program, and the reliability of the simulation results is verified through laboratory experiments. The frost heave evaluation index of pore water particles is quantitatively characterized, and a functional relationship between and the number of freeze-thaw cycles N is established. Furthermore, the fracture characteristics and the evolution of microcrack, displacement field and force chain field in freeze-thawed rocks during the …
Grey Wolf Optimization Algorithm-Based Robust Neural Learning Control Of Passive Torque Simulators With Predetermined Performance, Seyyed Amirhossein Saadat, Mohammad Mehdi Fateh, Javad Keighobadi
Grey Wolf Optimization Algorithm-Based Robust Neural Learning Control Of Passive Torque Simulators With Predetermined Performance, Seyyed Amirhossein Saadat, Mohammad Mehdi Fateh, Javad Keighobadi
Turkish Journal of Electrical Engineering and Computer Sciences
In flight control systems, the actuators need to tolerate aerodynamic torques and continue their operations without interruption. To this end, using the simulators to test the actuators in conditions close to the real flight is efficient. On the other hand, achieving the guaranteed performance encounters some challenges and practical limitations such as unknown dynamics, external disturbances, and state constraints in reality. Thus, this article attempts to present a robust adaptive neural network learning controller equipped with a disturbance observer for passive torque simulators (PTS) with load torque constraints. The radial basis function networks (RBFNs) are employed to identify the unknown …
Error Performance Enhancement And Complexity Reduction In Ofdm Systems Via Coordinate Interleaving Under Practical Impairments, Mustafa Anıl Reşat, Armed Tusha, Seda Doğan Tusha, Serdar Özyurt, Hüseyin Arslan
Error Performance Enhancement And Complexity Reduction In Ofdm Systems Via Coordinate Interleaving Under Practical Impairments, Mustafa Anıl Reşat, Armed Tusha, Seda Doğan Tusha, Serdar Özyurt, Hüseyin Arslan
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, subcarrier coordinate interleaving (CI) is implemented to orthogonal frequency division multiplexing (OFDM) systems with the aim of both enhancing the error performance and reducing the implementation complexity. To this end, the modulated symbols are independently chosen from a modified M-ary amplitude-shift keying signal constellation under a specific CI strategy. In addition to doubling the diversity level of the original OFDM scheme, the adopted CI approach also drastically reduces the inverse fast Fourier transform (IFFT) size at the transmit side by guaranteeing the first half of the input vector to be identical with the second half at the …
Fast Grid Search: A Grid Search-Inspired Algorithm For Optimizing Hyperparameters Of Support Vector Regression, Mustafa Açikkar
Fast Grid Search: A Grid Search-Inspired Algorithm For Optimizing Hyperparameters Of Support Vector Regression, Mustafa Açikkar
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a fast hyperparameter optimization algorithm based on the benefits and shortcomings of the standard grid search (GS) algorithm for support vector regression (SVR). This presented GS-inspired algorithm, called fast grid search (FGS), was tested on benchmark datasets, and the impact of FGS on prediction accuracy was primarily compared with the GS algorithm on which it is based. To validate the efficacy of the proposed algorithm and conduct a comprehensive comparison, two additional hyperparameter optimization techniques, namely particle swarm optimization and Bayesian optimization, were also employed in the development of models on the given datasets. The evaluation of …
Machine Learning Approaches In Comparative Studies For Alzheimer’S Diagnosis Using 2d Mri Slices, Zhen Zhao, Joon Huang Chuah, Chee-Onn Chow, Kaijian Xia, Yee Kai Tee, Yan Chai Hum, Khin Wee Lai
Machine Learning Approaches In Comparative Studies For Alzheimer’S Diagnosis Using 2d Mri Slices, Zhen Zhao, Joon Huang Chuah, Chee-Onn Chow, Kaijian Xia, Yee Kai Tee, Yan Chai Hum, Khin Wee Lai
Turkish Journal of Electrical Engineering and Computer Sciences
Alzheimer’s disease (AD) is an illness that involves a gradual and irreversible degeneration of the brain. It is crucial to establish a precise diagnosis of AD early on in order to enable prompt therapies and prevent further deterioration. Researchers are currently focusing increasing attention on investigating the potential of machine learning techniques to simplify the automated diagnosis of AD using neuroimaging. The present study involved a comparison of models for the detection of AD through the utilization of 2D image slices obtained from magnetic resonance imaging brain scans. Five models, namely ResNet, ConvNeXt, CaiT, Swin Transformer, and CVT, were implemented …
Milp Modeling Of Matrix Multiplication: Cryptanalysis Of Klein And Prince, Murat Burhan İlter, Ali Aydın Selçuk
Milp Modeling Of Matrix Multiplication: Cryptanalysis Of Klein And Prince, Murat Burhan İlter, Ali Aydın Selçuk
Turkish Journal of Electrical Engineering and Computer Sciences
Mixed-integer linear programming (MILP) techniques are widely used in cryptanalysis, aiding in the discovery of optimal linear and differential characteristics. This paper delves into the analysis of block ciphers KLEIN and PRINCE using MILP, specifically calculating the best linear and differential characteristics for reduced-round versions. Both ciphers employ matrix multiplication in their diffusion layers, which we model using multiple XOR operations. To this end, we propose two novel MILP models for multiple XOR operations, which use fewer variables and constraints, proving to be more efficient than standard methods for XOR modeling. For differential cryptanalysis, we identify characteristics with a probability …
Longitudinal Attacks Against Iterative Data Collection With Local Differential Privacy, Mehmet Emre Gürsoy
Longitudinal Attacks Against Iterative Data Collection With Local Differential Privacy, Mehmet Emre Gürsoy
Turkish Journal of Electrical Engineering and Computer Sciences
Local differential privacy (LDP) has recently emerged as an accepted standard for privacy-preserving collection of users’ data from smartphones and IoT devices. In many practical scenarios, users’ data needs to be collected repeatedly across multiple iterations. In such cases, although each collection satisfies LDP individually by itself, a longitudinal collection of multiple responses from the same user degrades that user’s privacy. To demonstrate this claim, in this paper, we propose longitudinal attacks against iterative data collection with LDP. We formulate a general Bayesian adversary model, and then individually show the application of this adversary model on six popular LDP protocols: …
A Novel Extended Reaction Force/Torque Observer With Impedance Control, İlkay Turaç Özçeli̇k, Abdurrahman Eray Baran
A Novel Extended Reaction Force/Torque Observer With Impedance Control, İlkay Turaç Özçeli̇k, Abdurrahman Eray Baran
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a new extended version of the reaction force observer (RFOB) for high-precision motion control systems. The RFOB has been proven to be useful for many applications in the literature. However, because of the low-pass filter present inside of the RFOB, it has certain limitations. In this study, a new algorithm is proposed to compensate for filtering-based errors in the classical RFOB structure. The algorithm includes the differentiation of the observed force and scaling with a proper value. However, since the force has a noisy nature, differentiation also affects the signal’s stability and performance. To resolve this issue, …
Traffic Signal Optimization Using Multiobjective Linear Programming For Oversaturated Traffic Conditions, Mustafa Murat Coşkun, Cevat Şener, İsmail Hakkı Toroslu
Traffic Signal Optimization Using Multiobjective Linear Programming For Oversaturated Traffic Conditions, Mustafa Murat Coşkun, Cevat Şener, İsmail Hakkı Toroslu
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, we present a framework designed to optimize signals at intersections experiencing oversaturated traffic conditions, utilizing mixed-integer linear programming (MILP) techniques. The proposed MILP solutions were developed with different objective functions, namely a reduction in the total remaining queue and fair distribution of the remaining queue after each signal cycle. Our framework contains two distinct stages. The initial stage applies two distinct MILP methodologies, while the subsequent stage employs a neighborhood search method to further reduce the delays associated with the green signal timings derived from the first stage. Ultimately, to evaluate their effectiveness across various intersections, we …
Artificial Intelligence-Based Evaluation Of The Factors Affecting The Sales Of An Iron And Steel Company, Mehmet Pekkaya, Zafer Uysal, Aytaç Altan, Seçkin Karasu
Artificial Intelligence-Based Evaluation Of The Factors Affecting The Sales Of An Iron And Steel Company, Mehmet Pekkaya, Zafer Uysal, Aytaç Altan, Seçkin Karasu
Turkish Journal of Electrical Engineering and Computer Sciences
It is important to predict the sales of an iron and steel company and to identify the variables that influence these sales for future planning. The aim in this study was to identify and model the key factors that influence the sales volume of an iron and steel company using artificial neural networks (ANNs). We attempted to obtain an integrated result from the performance/sales levels of 5 models, to use the ANN approach with hybrid algorithms, and also to present an exemplary application in the base metals industry, where there is a limited number of studies. This study contributes to …
Differentially Private Online Bayesian Estimation With Adaptive Truncation, Sinan Yildirim
Differentially Private Online Bayesian Estimation With Adaptive Truncation, Sinan Yildirim
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a novel online and adaptive truncation method is proposed for differentially private Bayesian online estimation of a static parameter regarding a population. A local differential privacy setting is assumed where sensitive information from individuals is collected on an individual level and sequentially. The inferential aim is to estimate, on the fly, a static parameter regarding the population to which those individuals belong. We propose sequential Monte Carlo to perform online Bayesian estimation. When individuals provide sensitive information in response to a query, it is necessary to corrupt it with privacy-preserving noise to ensure the privacy of those …
Automated Identification Of Vehicles In Very High-Resolution Uav Orthomosaics Using Yolov7 Deep Learning Model, Esra Yildirim, Umut Güneş Seferci̇k, Taşkın Kavzoğlu
Automated Identification Of Vehicles In Very High-Resolution Uav Orthomosaics Using Yolov7 Deep Learning Model, Esra Yildirim, Umut Güneş Seferci̇k, Taşkın Kavzoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
The utilization of remote sensing products for vehicle detection through deep learning has gained immense popularity, especially due to the advancement of unmanned aerial vehicles (UAVs). UAVs offer millimeter-level spatial resolution at low flight altitudes, which surpasses traditional airborne platforms. Detecting vehicles from very high-resolution UAV data is crucial in numerous applications, including parking lot and highway management, traffic monitoring, search and rescue missions, and military operations. Obtaining UAV data at desired periods allows the detection and tracking of target objects even several times during a day. Despite challenges such as diverse vehicle characteristics, traffic congestion, and hardware limitations, the …
A Comparative-Analytical Based Approach To Improve Energy Efficiency In Office Buildings, Ahmed Mohamed Thabet Alieldin, Raghda Abdelwahab Othman
A Comparative-Analytical Based Approach To Improve Energy Efficiency In Office Buildings, Ahmed Mohamed Thabet Alieldin, Raghda Abdelwahab Othman
Mansoura Engineering Journal
Green Building Rating Systems (GBRSs) have spread worldwide to evaluate how buildings are related to sustainability criteria. On one hand, leadership in Energy and Environmental Design [1] was recognized to be one of the most prominent rating systems in all over the world. LEED gives importance to the energy category by giving it the highest weighting score. On the other hand, the Egyptian Green Pyramid Rating System (GPRS) has been established to expand the construction of green buildings in Egypt. The governmental codes, policies and strategies in Egypt play the main role in improving several codes in the …
Systemization & Survival -- “Houston, We Have A Problem” – Business Lessons From Apollo 13, Judith Jacob Iddy, Njeru Zakayo
Systemization & Survival -- “Houston, We Have A Problem” – Business Lessons From Apollo 13, Judith Jacob Iddy, Njeru Zakayo
Markets, Globalization & Development Review
In the business world, there are different factors that determine whether a business will survive or not. Apollo 13 film perfectly demonstrates what every business undergoes throughout its lifecycle. Apollo 13 spacecraft started its journey to the moon successfully with the mission being to land on the moon. Unfortunately, within a very short period of time, Apollo 13 started to experience a series of problems that required quick actions and decisions to be made with the involvement of different sets of technical skills. Ultimately, by using the prototype and systems which NASA had established for Apollo 13, the teams managed …
Study On The Identification Method Of Tunnel Surrounding Rock Failure Zone Based On Continuous Discontinuous Analysis Theory, Ming-Qing Xiao, Chen Xu, Jian Yang, Jia-Ming Wu, Xiao-Dong Fu, Yong-Qiang Zhou
Study On The Identification Method Of Tunnel Surrounding Rock Failure Zone Based On Continuous Discontinuous Analysis Theory, Ming-Qing Xiao, Chen Xu, Jian Yang, Jia-Ming Wu, Xiao-Dong Fu, Yong-Qiang Zhou
Rock and Soil Mechanics
Accurate analyzing the scope of tunnel excavation failure zone has important guidance and engineering significance in determining support parameters reasonably. This study focuses on the identification methods of tunnel surrounding rock failure zone, specifically the continuous medium analysis method and the continuous-discontinuous method represented by the finite element-discrete element coupling method (FDEM). Firstly, the continuous medium analysis method and FDEM identification criteria for surrounding rock failure are studied. Then the rock mass is divided into elastic rock elements and elastic-plastic interface elements. Based on the concept of equivalent continuous model, the relationship between the mechanical parameters of interface elements and …
Law Of Disturbed Stress Rotation Induced By Hard Rock Excavation And Its Influence On Rock Fracture, Qian-Cheng Sun, Yue Liu, Qing-Wen Wang, Shao-Jun Li, Min-Zong Zheng
Law Of Disturbed Stress Rotation Induced By Hard Rock Excavation And Its Influence On Rock Fracture, Qian-Cheng Sun, Yue Liu, Qing-Wen Wang, Shao-Jun Li, Min-Zong Zheng
Rock and Soil Mechanics
The rock fracture caused by disturbed stress field change in deep underground engineering is a common issue receiving continuous attention. After analyzing the test data of disturbed stress field in Jinping underground laboratory phase II project, the variation law of disturbed stress field under different construction processes was interpreted, and the change mode of principal stress direction was analyzed. Through the comparative analysis about in-situ drilling imaging of rock mass, the influence of principal stress direction change on surrounding rock fracture was revealed. The results show that the disturbed stress field changes the most actively at the stage of middle …
Thermo-Hydro-Mechanical Coupling Model For Natural Gas Hydrate-Bearing Sediments With Depressurization Based On Opengeosys, Zhi-Gang Ye, Lu-Jun Wang, Bin Zhu, Yun-Min Chen
Thermo-Hydro-Mechanical Coupling Model For Natural Gas Hydrate-Bearing Sediments With Depressurization Based On Opengeosys, Zhi-Gang Ye, Lu-Jun Wang, Bin Zhu, Yun-Min Chen
Rock and Soil Mechanics
Natural gas hydrates are considered as one of the most important potential alternatives for energy shortage, and depressurization is believed to be the most economic effectiveness for hydrate exploitation. The exploitation induces solid hydrate dissociation, liquid / gas generation and migration, heat transfer and skeleton deformation, showing strong thermo-hydro-mechanical (THM) coupling behavior of sediments. These processes will trigger geotechnical hazards, such as borehole inclination and reservoir collapse. A THM coupling numerical model for hydrate exploitation was developed based on the open-source FEM platform OpenGeoSys. In detail, the kinetic reaction equation was implemented to represent the liquid/gas generation during gas hydrate …
Analytical Solution Of Deformation Of Underlying Shield Tunnel Caused By Foundation Pit Excavation And Dewatering, Ling-Xiao Guan, Chang-Jie Xu, Xue-Peng Wang, Xue-Qin Xia, Wen-Hai Ke
Analytical Solution Of Deformation Of Underlying Shield Tunnel Caused By Foundation Pit Excavation And Dewatering, Ling-Xiao Guan, Chang-Jie Xu, Xue-Peng Wang, Xue-Qin Xia, Wen-Hai Ke
Rock and Soil Mechanics
The foundation pit excavation and dewatering break the equilibrium stress field of the surrounding soil layer and negatively affect the underlying shield tunnel. The analytical solution of the longitudinal deformation of the underlying tunnel caused by foundation pit excavation and dewatering is proposed using a two-stage analysis method. In the first stage, Mindlin elastic solution and effective stress principle are used to calculate the additional stress caused by excavation and dewatering. In the second stage, the shield tunnel is treated as a Timoshenko beam resting on the Pasternak foundation to simulate the interaction between the tunnel and soil. The analytical …
Bearing Capacity Of Shallow Foundations Considering Geological Uncertainty And Soil Spatial Variability, Qi-Hao Jiang, Jin-Tong Wang, Bo Hou, Dong-Ming Zhang, Jin-Zhang Zhang
Bearing Capacity Of Shallow Foundations Considering Geological Uncertainty And Soil Spatial Variability, Qi-Hao Jiang, Jin-Tong Wang, Bo Hou, Dong-Ming Zhang, Jin-Zhang Zhang
Rock and Soil Mechanics
The bearing capacity of shallow foundations is significantly affected by stratum uncertainty, mainly including geological uncertainty and spatial variability of soil properties. The influence of geological uncertainty and soil spatial variability on the bearing capacity of shallow foundations has been separately investigated in previous studies. This study aims to develop a general probabilistic computational framework to reveal the effects of geological uncertainty and spatial variability of soil properties on the bearing capacity of shallow foundations, in which the geological uncertainty is simulated by Markov random field and the soil spatial variability is characterized using log-normal random field in different strata …
Analysis Of Shear Characteristics Of Soil-Rock Mixture–Geotextile Interface Under Normal Cyclic Loading, Shui-Jiang Li, Jia-Min Yao, Fei-Yu Liu, Hong-Bo Liu, Juan Hou
Analysis Of Shear Characteristics Of Soil-Rock Mixture–Geotextile Interface Under Normal Cyclic Loading, Shui-Jiang Li, Jia-Min Yao, Fei-Yu Liu, Hong-Bo Liu, Juan Hou
Rock and Soil Mechanics
The dynamic shear characteristics of the reinforcement–soil interface affect the stability and durability of reinforced soil–rock mixture subgrades. A series of static and dynamic direct shear tests was conducted on the soil–rock mixture–geotextile interface using a large dynamic direct shear apparatus under different rock contents (0%, 25%, 50%, 75% and 100%). The effects of normal stress amplitude (10, 20, 30, 40 and 60 kPa) and normal loading frequency (0.5, 1.0 and 2.0 Hz) on the shear response of the interface were analyzed. The test results indicate that the shear strength of the upper and lower boundaries of the interface first …
Field Study On The Ultimate Bearing Capacity Of Enlarged Grout Base Of Pre-Bored Grouted Planted Pile, Wei-Dong Wang, Meng Wang, Jiang-Bin Wu
Field Study On The Ultimate Bearing Capacity Of Enlarged Grout Base Of Pre-Bored Grouted Planted Pile, Wei-Dong Wang, Meng Wang, Jiang-Bin Wu
Rock and Soil Mechanics
Pre-bored grouted planted pile is a new type of eco-friendly pile foundation. The combination of the lower section of PHC nodular pile and the pile base expansion greatly improves the vertical bearing capacity of single pile. A lot of application practices have been achieved in Jiangsu, Zhejiang and Shanghai regions, but limited to the current research status, the bearing capacity of enlarged grout base is not clear. Based on the in-situ self-balanced loading test, the ultimate compressive bearing capacity of the enlarged grout base of the pre-bored grouted planted pile is investigated. The research results reveal that the measured ultimate …
Meso-Structure Damage Evolution In Shear Bands Of Granite Residual Soil, Cheng-Sheng Li, Ling-Wei Kong, Rong-Jun Shu, Zhi-Jun Liu, Bing-Xin Zhang
Meso-Structure Damage Evolution In Shear Bands Of Granite Residual Soil, Cheng-Sheng Li, Ling-Wei Kong, Rong-Jun Shu, Zhi-Jun Liu, Bing-Xin Zhang
Rock and Soil Mechanics
Shear band and crack evolution are very important for landslides. Crack is the weakest area in soil, and there is a lack of effective methods to analyze the meso-structure damage in shear bands quantitatively. To reveal the influence of cracks in granite residual soil on shear deformation and failure, CT scanning was used to obtain volume images of the sample at different loading stages during triaxial loading. Based on the digital volume correlation (DVC) method, a crack classification method is established according to the connectivity characteristics of cracks before and after loading. The cracks can be divided into eight kinds: …
Analysis Of The Impact Of Water Treatment By Liming Sedimentation And Dredging On The Content Of Heavy Metals In Fish Intended For Consumption, Asfie Maidie, Ismail Fahmy Almadi, Muchlis Efendi, Rekha Yusdha Nilawardhani, Komsanah Sukarti, Henny Pagoray
Analysis Of The Impact Of Water Treatment By Liming Sedimentation And Dredging On The Content Of Heavy Metals In Fish Intended For Consumption, Asfie Maidie, Ismail Fahmy Almadi, Muchlis Efendi, Rekha Yusdha Nilawardhani, Komsanah Sukarti, Henny Pagoray
Journal of Sustainable Mining
The present study sought to determine the presence of metals and arsenic, a metalloid, among the fish of a coal mine reservoir, where the water was treated regularly through liming sedimentation combined with dredging, and the fish living in an adjoining river. The potential hazard of metals in fish as human food was analyzed. Except for selenium (an important metal to the human body), which was higher among the river fish than in the reservoir fish (P < 0.01), there were no particular patterns of other studied metals found in either habitat (P > 0.05), and apparently not related to the fish family that consumed by local people. Measurements of bioaccumulation factor (BAF) yielded scattered values from …
Of Towers And Philosophy: How Interdisciplinarity Nurtures And Expands Capacity, Mario Calabretta
Of Towers And Philosophy: How Interdisciplinarity Nurtures And Expands Capacity, Mario Calabretta
NEXUS: The Liberty Journal of Interdisciplinary Studies
No abstract provided.
The Role Of Artificial Intelligence In Determining The Criminal Fingerprint, Saeed Al Matrooshi
The Role Of Artificial Intelligence In Determining The Criminal Fingerprint, Saeed Al Matrooshi
Journal of Police and Legal Sciences
The research aimed to identify the motives and justifications for the use of artificial intelligence in predicting crimes, to explain the challenges of artificial intelligence algorithms, the risks of bias and their ethical rules, and to highlight the role of artificial intelligence in identifying the criminal fingerprint during the detection of crimes. The research relied on the analytical approach, for the purpose of identifying the motives and justifications for the use of intelligence. Artificial intelligence in crime detection, explaining the challenges of artificial intelligence algorithms, their risks of bias, and ethical rules, and exploring how artificial intelligence technology can hopefully …