Purpose python codes are developed for the versatile structural analysis on a 3 spar multi-cell box beam by means of idealization approach. Design/methodology/approach Shear flow distribution, stiffener loads, locatio...
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Purpose python codes are developed for the versatile structural analysis on a 3 spar multi-cell box beam by means of idealization approach. Design/methodology/approach Shear flow distribution, stiffener loads, location of shear center and location of geometric center are computed via numpy module. Data visualization is performed by using Matplotlib module. Findings python scripts are developed for the structural analysis of multi-cell box beams in lieu of long hand solutions. In-house developed python codes are made available to be used with finite element analysis for verification purposes. Originality/value The use of python scripts for the structural analysis provides prompt visualization, especially once dimensional variations are concerned in the frame of aircraft structural design. The developed python scripts would serve as a practical tool that is widely applicable to various multi-cell wing boxes for stiffness purposes. This would be further extended to the structural integrity problems to cover the effect of gaps and/or cut-outs in shear flow distribution in box-beams.
The purpose of the paper was to present selected techniques for the control of river flow and sediment transport computations with the programming language python. The base software for modeling of river processes was...
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The purpose of the paper was to present selected techniques for the control of river flow and sediment transport computations with the programming language python. The base software for modeling of river processes was the well-known and widely used HEC-RAS. The concepts were tested on two models created for a single reach of the Warta river located in the central part of Poland. The ideas described were illustrated with three examples. The first was a basic simulation of a steady flow run from the python script. The second example presented automatic calibration of model roughness coefficients with Nelder-Mead simplex from the SciPy module. In the third example, the sediment transport was controlled by python script. Sediment samples were accessed and changed in the sediment data file stored in XML format. The results of the sediment simulation were read from HDF5 files. The presented techniques showed good effectiveness of this approach. The paper compared the developed techniques with other, earlier approaches to control of HEC-RAS computations. Possible further developments were also discussed.
The objective of this work is to create an ABAQUS plugin for predicting the failure mechanism, and mechanical characteristics of weft-knitted reinforced composites utilizing multi-scale modeling. This plugin facilitat...
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The objective of this work is to create an ABAQUS plugin for predicting the failure mechanism, and mechanical characteristics of weft-knitted reinforced composites utilizing multi-scale modeling. This plugin facilitates the automatic modeling and analysis of weft-knitted reinforced composites, focusing on parameters such as stiffness, strength, and failure mechanisms. The developed plugin estimates the homogenized effective elastic properties of a user-created macro-model for a weft-knitted reinforced composite structure. The plugin correctly extracts the concepts of homogenization based on micromechanics parametric inputs of fiber and resin which are considered separately by the software's user. Afterward, the homogenized constants of the composites are automatically applied to the macro-model to achieve the most susceptible areas for failure after the localization step. It also enables the prediction of the composite strength and the identification of the sample's critical mesoscale regions. This paper also explains the plugin's homogenization and localization-based approach. Prior to carrying out parametric research, the simulation findings are verified using experimental data. Furthermore, experimental instances demonstrating its implementation and validation are provided. A comparative analysis of tensile characteristics between the multi-scale finite element model and experimental results disclosed that the model exhibited an overestimation of the failure strength in the course and wale directions by approximately 13%. Furthermore, the error due to predicting the tensile modulus in both directions is less than 7%. The results obtained from the prediction of the plugin revealed the approximate locations of failures within the composite unit cell under tensile loading in both course and wale directions.
Outstanding progress in manufacturing technology of fiber-reinforced composite materials, allows designers to go beyond classical design rules. Composites with variable stiffness are an innovative division of composit...
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Outstanding progress in manufacturing technology of fiber-reinforced composite materials, allows designers to go beyond classical design rules. Composites with variable stiffness are an innovative division of composite materials that provide more efficient designs for engineers due to their diverse design parameters. In this study, a straightforward methodology is presented for the design of sandwich panels with corrugated variable stiffness core. Based on the homogenization method, a unit-cell of the sandwich panel is used as a representative volume element for the sandwich panel with corrugated core. Due to multiple design variables, conventional numerical and analytical methods cannot be applied to variable stiffness composites, thus python/ABAQUS framework is developed to determine the extensional and bending behavior of unit-cells. Details of this framework including python scripting and ABAQUS finite element solver are given along with their corresponding functions. Furthermore, the elitist genetic algorithm is incorporated into a framework for the optimum design of variable stiffness cores. Two optimization problems, namely composites with variable thickness and variable angle are considered for unit-cells, and associated constraints, boundary conditions, and fitness functions are discussed in detail. In addition to the benefits of the proposed framework, the obtained results reveal notable enhancement in the extensional and bending behavior of unit-cell. Results reveal that corresponding displacements are significantly improved (up to 80%) when using the optimum variable thickness case. For variable angle cases, the improvement of displacements is up to about 28%.
Triaxial testing serves as a fundamental method for evaluating the elastic and strength properties of rocks,crucial for developing accurate 3D geomechanical *** paper presents a novel method for determining strength p...
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Triaxial testing serves as a fundamental method for evaluating the elastic and strength properties of rocks,crucial for developing accurate 3D geomechanical *** paper presents a novel method for determining strength parameters by incorporating the dependence of uniaxial compressive strength(UCS)on P-wave velocity into the Hoek-Brown ***,a new approach is introduced to process triaxial test data efficiently using python libraries such as SciPy,NumPy,Matplotlib,and ***,the paper addresses challenges in determining elastic parameters through triaxial testing.A python script is developed to automate the calculation of elastic modulus and Poisson's ratio,over-coming subjectivity in selecting the linear portion of stress-strain *** script optimally identifies the linear region by minimizing the fit error with appropriate constraints,ensuring a more objective and standardized *** proposed methodologies are demonstrated using limestone specimens from Central Asian gas *** innovations offer faster,more reliable results,reducing error and enhancing the comparability of analyses in geomechanics,with potential applications across various geological settings.
The application of the finite element method (FEM) in geotechnical engineering has been established in the last decades for the prediction of deformations in the serviceability limit state (SLS). In practice, stabilit...
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The application of the finite element method (FEM) in geotechnical engineering has been established in the last decades for the prediction of deformations in the serviceability limit state (SLS). In practice, stability analyses in the ultimate limit state (ULS) are only partially performed using the FEM and are currently still state of the art. The next generation of Eurocode 7 is intended to regulate numerical methods with regard to their application in the ULS. However, the handling of the additionally required analysis of the German National Annex and DIN 1054 is still unsolved. In this paper, an approach for the numerical analysis of the earth support is presented. Following the wellestablished strength reduction method, the weight of the soil. and the cohesion c0 on the earth resistance side are reduced until failure occurs. On the basis of this, the analysis in ULS is carried out by defining a safety factor for the existing embedment depth of the retaining wall. This is followed by a comparison with the analytical free earth support method, identifying system reserves using the FEM.
The python package swmm_api addresses a critical gap in urban drainage modeling by providing a flexible, script-based tool for managing SWMM models. Recognizing the limitations of existing solutions, this study develo...
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The python package swmm_api addresses a critical gap in urban drainage modeling by providing a flexible, script-based tool for managing SWMM models. Recognizing the limitations of existing solutions, this study developed a python-based approach that seamlessly integrates SWMM model creation, editing, analysis, and visualization within python's extensive ecosystem. The package offers intuitive, dictionary-like interactions with model components, enabling manipulation of input files and extraction of results as structured data. It supports advanced GIS integration, sensitivity analysis, calibration, and uncertainty estimation through libraries like GeoPandas, SALib, and SPOTPY. Results demonstrate significant efficiency improvements in repetitive tasks, including batch simulations, sensitivity analyses, and automated GIS data processing, exemplified by practical applications such as model updates for municipal sewer systems. The package significantly enhances reproducibility and facilitates transparent sharing of scientific workflows. Overall, swmm_api provides researchers and practitioners with a robust, adaptable solution for streamlined urban drainage modeling.
Reinforced angle brackets are commonly used as connectors in wood structures. These connectors are typically installed with ring shank nails or screws. This paper presents the experimental results of cross-laminated t...
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Reinforced angle brackets are commonly used as connectors in wood structures. These connectors are typically installed with ring shank nails or screws. This paper presents the experimental results of cross-laminated timber (CLT) connections which consist of reinforced angle brackets and heavy-duty screws. These screws are one of the stiffest and the strongest options for the fasteners which can be used with the reinforced angle brackets. However, this option has not been extensively studied by many scholars yet. Therefore, this paper contains detailed numerical simulations with aim to be able to predict the failure modes and the load-bearing capacities of experimentally tested connections. Benefits together with the limitations of the presented numerical method are discussed.
Vulnerable systems are a prime target for cyberattacks in healthcare organizations. This paper explores how automatic vulnerability scanning, triggered by network changes through python scripting, can significantly re...
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ISBN:
(纸本)9798350354249;9798350354232
Vulnerable systems are a prime target for cyberattacks in healthcare organizations. This paper explores how automatic vulnerability scanning, triggered by network changes through python scripting, can significantly reduce the window of opportunity for attackers. We delve into the crucial yet challenging task of finding the optimal scan frequency, balancing faster detection of vulnerabilities with minimized resource consumption on healthcare networks. A risk- based framework is presented to guide this selection process. Furthermore, we address the issue of false positives in Network Traffic Analysis (NTA) and propose mitigation strategies to enhance the accuracy of threat detection. By implementing these recommendations, healthcare organizations can establish a proactive approach to network security, safeguarding sensitive patient data and ensuring the continuity of critical healthcare services.
Fatigue crack propagation is an important consideration in evaluating the design life of engineering components, especially in the energy and transport industries. Despite its importance, fatigue analyses are not usua...
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Fatigue crack propagation is an important consideration in evaluating the design life of engineering components, especially in the energy and transport industries. Despite its importance, fatigue analyses are not usually supported by commercial Finite Element (FE) codes;in fact, most FE codes require the addition of costly plug-ins to perform fatigue crack growth simulations. Therefore, this paper introduces a new, freely distributed plug-in to simulate fatigue crack growth with the commercial FE code Abaqus. The plug-in includes five different fatigue crack growth models and relies on the extended FE method to simulate crack propagation. The plug-in is limited to 2D analyses, but covers all necessary steps for fatigue crack growth simulations, from creating the geometry to job submission and post-processing. The implementation of the plug-in is validated by comparing its predictions to analytical and experimental results. Finally, we hope that the simplicity of the plug-in and the fact that it is distributed freely will make it a useful simulation tool for industrial, research and educational purposes.
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