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Finite element analysis of fatigue crack growth in CFRP-repaired four-point bend specimens

ENGINEERING STRUCTURES 2019年 183卷 398-407页

作者： Huang, Cheng Chen, Tao Feng, Siyuan Tongji Univ Minist Educ Key Lab Performance Evolut & Control Engn Struct Shanghai 200092 Peoples R China Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China Univ Corp Polar Res Beijing 100875 Peoples R China Tongji Univ Dept Bridge Engn Shanghai 200092 Peoples R China

This paper presents a finite element (FE) study on fatigue crack growth in carbon fiber-reinforced polymer (CFRP) repaired four-point bend (FPB) specimens with an edge crack subjected to various cyclic loadings (pure mode I, pure mode II and mixed mode I/II). The crack propagation rate was described using NASGRO model together with Tanaka formula, while the crack growth direction was determined by maximum circumferential stress criterion (MCSC). A simulation program was developed using python scripting in conjunction with FE software ABAQUS to handle the automated fatigue crack growth modelling. The effects of different shear-tension loading ratios (K-II/K-I) and CFRP layer numbers on CFRP repair performance were first investigated by a comparative analysis of numerical and experimental results. The FE results appeared to be in reasonable agreement with test data in terms of specimens' failure modes, crack growth trajectories and fatigue lives. Based on the developed program, a parametric study was conducted to gain a deeper insight into the effects of K-II/K-I ratios, the patching layer number, Young's modulus and width of CFRP on FPB specimens' fatigue behavior. The results indicated that the above-mentioned parameters have a significant influence on fatigue crack growth to varying degrees. This work provides an effective way of predicting the fatigue life and mixed mode I/II crack growth trajectories with high computational efficiency and accuracy.

关键词： CFRP Mixed mode cracks python language Four-point bend specimens

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Dynamic characteristics analysis of CBGSCC bridge with large parameter samples

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STEEL AND COMPOSITE STRUCTURES 2024年第2期52卷 237-248页

作者： He, Zhongying Song, Yifan Wang, Genhui Sun, Penghui Henan Univ Dept Civil Engn & Architecture Kaifeng 475000 Henan Peoples R China Lanzhou Jiaotong Univ Dept Civil Engn Lanzhou 730000 Gansu Peoples R China

In order to make the dynamic analysis and design of improved composite beam with corrugated steel web (CBGSCC) bridge more efficient and economical, the parametric self-cyclic analysis model (SCAM) was written in python on Anaconda platform. The SCAM can call ABAQUS finite element software to realize automatic modeling and dynamic analysis. For the CBGSCC bridge, parameters were set according to the general value range of CBGSCC bridge parameters in actual engineering, the SCAM was used to calculate the large sample model generated by parameter coupling, the optimal value range of each parameter was determined, and the sensitivity of the parameters was analyzed. The number of diaphragms effects weakly on the dynamic characteristics. The deck thickness has the greatest influence on frequency, which decreases as the deck thickness increases, and the deck thickness should be 20-25 cm. The vibration frequency increases with the increase of the bottom plate thickness, the web thickness, and the web height, the bottom plate thickness should be 17-23mm, the web thickness should be 13-17 mm, and the web height should be 1.65-1.7 5 m. Web inclination and Skew Angle should not exceed 30 degrees, and the number of diaphragms should be 3-5 pieces. This method can be used as a new method for structural dynamic analysis, and the importance degree and optimal value range of each parameter of CBGSCC bridge can be used as a reference in the design process.

关键词： dynamic characteristic large sample parameters python language self-circulated analysis model composite box girder with steel bottom plate-corrugated web-concrete deck bridge dynamic characteristic large sample parameters python language self-circulated analysis model

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Hands-on with IBM Visual Insights

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COMPUTING IN SCIENCE & ENGINEERING 2020年第5期22卷 108-112页

作者： Luo, Shirui Kindratenko, Volodymyr Univ Illinois Natl Ctr Supercomp Applicat NCSA Chicago IL 60680 USA

Deep learning (DL) has emerged as a powerful tool to solve a variety of complex problems that have been difficult to solve with traditional methods. However, domain experts attempting to apply DL methodology have to learn to code in order to use it. Numerous frameworks have been developed, such as TensorFlow, that simplify the task of building and training complex DL models, yet their efficient use requires a good working knowledge of python language. Consequently, a variety of tools have been developed that provide easier to use DL models, ranging from the Keras API built on top of TensorFlow that still requires coding, to tools such as H2O that provide a point-and-click web-based interface to configure and train pre-built models. Among this new breed of tools, IBM Visual Insights (formerly IBM PowerAI Vision) (IBM Visual Insights Version 1.2.0, n.d.) has taken this concept further by providing a web-based graphical user interface (GUI) for configuring and training a variety of models, as well as tools and APIs for deploying these models on a variety of platform. The tool empowers domain experts without any knowledge of coding or underlying hardware to take advantage of complex DL models trained on large datasets. We use classification of COVID-19 chest X-ray images as an example application to demonstrate the IBM Visual Insights streamlined processes for image labeling, model training, and model deployment.

关键词： Learning Artificial Intelligence Neural Nets python Deep Learning IBM Visual Insights DL Methodology Tensor Flow Py Torch Complex DL Models python language COVID 19 Visualization Computational Modeling X Ray Imaging Tools Training Lung

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A long journey into reproducible computational neuroscience

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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2015年第MAR期9卷 30页

作者： Topalidou, Meropi Leblois, Arthur Boraud, Thomas Rougier, Nicolas P. INRIA Bordeaux Sud Ouest Bordeaux France Univ Bordeaux Inst Malad Neurodegenerat UMR 5293 Bordeaux France CNRS Inst Malad Neurodegenerat UMR 5293 Bordeaux France Univ Bordeaux CNRS Inst Polytech Bordeaux LaBRIUMR 5800 Talence France Univ Paris 05 CNRS Ctr Neurophys Physiol & Pathol Paris France

(2006) where authors proposed an action selection mechanism based on a competition between the positive feedback, direct pathway through the striatum and the negative feedback, hyperdirect pathway through the subthalamic nucleus. If computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing, and reproducing results, computational neuroscience still lags behind. Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

关键词： reproducible science publication process computational models python language version control public repository notebook

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Studying Physics, Getting to Know python: RC Circuit, Simple Experiments, Coding, and Data Analysis With Raspberry Pi

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COMPUTING IN SCIENCE & ENGINEERING 2021年第1期23卷 93-96页

作者： Mandanici, Andrea Sara, Salvatore Alessandro Fiumara, Giacomo Mandaglio, Giuseppe Univ Messina Dept MIFT I-98166 Messina Italy

Raspberry Pi (RPi) is a well-known single-board computer natively equipped with a Linux-based operating system, Raspbian, and a powerful programming language, python. In this article, we propose an integrated project on physics and computer science exploiting RPi and python: a set of lab activities, coding, and discussion related to the study of charging and discharging phases of a capacitor in an RC circuit. In our simple experiments, entirely computer-controlled, the RPi and python scripts are used to: (i) apply a known constant voltage to the circuit at a desired time;(ii) measure the voltage on selected circuit elements as a function of time;(iii) evaluate and analyze experimental data. This approach is based on inexpensive hardware and open source software. It allows a hands-on experience with electric circuits and with dedicated examples of python coding. The codes involve python modules such as Numpy, Scipy, and Matplotlib that prove to be easy to use and efficient for our goals, supporting the choice of python language for further study or research tasks.

关键词： Cameras Data Acquisition Data Analysis Image Colour Analysis Image Enhancement Image Restoration Linux Microcomputers Programming languages Public Domain Software RC Circuits RC Circuit Simple Experiments Data Analysis Raspberry Pi R Pi Single Board Computer Linux Based Powerful Programming language Integrated Project Computer Science Lab Activities Charging Discharging Phases Computer Controlled python Scripts Known Constant Voltage Desired Time Selected Circuit Elements Hands On Experience Electric Circuits python Coding python Modules python language Encoding Time Measurement Task Analysis python Operating Systems Open Source Software Computer languages Voltage Measurement Circuit Analysis

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A novel model for evaporator structural design in the multi-effect evaporation plant

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APPLIED THERMAL ENGINEERING 2020年 176卷 115351-115351页

作者： Liu, Cong Bi, Mingshu Zhou, Yihui Cui, Guangrui Dalian Univ Technol Sch Chem Machinery Dalian 116023 Peoples R China

In this paper, a novel model called Evaporator Structural Design (ESD) model is introduced. The model not only predicts the three-dimensional distribution of heat transfer coefficient under different operation conditions but also guides the evaporator structural design. The results show that the heat transfer coefficient decreases with the decline of the spray density from 0.08 to 0.015 and with the increase of the tube length from 2 m to 10 m. The heat transfer coefficient exhibits higher values for the evaporation zone than the preheating zone, almost twice or more. Either in the preheating zone or in the evaporation zone, the heat transfer coefficient in different row positions have small differences. A forward-feed MEE (multi-effect evaporation) plant with 14 effects is calculated using the ESD model. Compared with the experimental data, the relative error of the accumulated vapor mass flow rate in each effect ranged between 1% and 8%, that of the evaporator area is about 7%. The ESD model is accurate and convenient in engineering design.

关键词： Multi-effect evaporation Evaporator structural design model Heat transfer coefficient python language

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Fuzzy control-based system feed-back by OBD-II data acquisition for complementary injection of hydrogen into internal combustion engines

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2020年第51期45卷 26604-26612页

作者： Macias-Bobadilla, G. Becerra-Ruiz, J. D. Estevez-Ben, Adyr A. Rodriguez-Resendiz, Juvenal Univ Autonoma Queretaro Fac Ingn Col Las Campanas 76010 Queretaro Mexico

Since 1996, the California Air Resources Board has established the OBD-II as a communication protocol that systems use to control gas emissions. Such a standard was created in 1988 and allows modern vehicles to obtain technical engine data such as fuel injection, speed, and air mass flow. In this article, an experimental test bench is presented using the Raspberry-Pi 3 programming board and a serial connection to the OBD-II port. Also, the standard ELM327 is employed as a connection adapter to analyze data sets and to calculate the ideal time for hydrogen injection. This process is achieved by an in-situ generator as a supplementary fuel source for internal combustion engines. It permits the reduction of greenhouse gas emissions and improves fuel efficiency, as it has already been reported in multiple previous types of research. The methodology describes the process of acquiring data through the OBD-II port, the type of hydrogen generator, and the calibration implemented according to expert system rules as well as the installation process of the systemin the experimental vehicle. The developed algorithm is implemented using the programming language python to determine the ideal time for activating the hydrogen generator. The results include simulation behavior of the fuzzy logic algorithm in Matlab of vehicle engine for its comparison with the validated results and offer a proposal to optimize hydrogen injection for future researches. Then, the efficiency of electrolyzer in ICE is improved by extending the lifetime of the entire device and the electrolyte. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： OBD-II port Embedded system Fuzzy logic control python language Hydrogen electrolyzer Green energy

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GIS and remote sensing techniques for the assessment of the impact of land use change on runoff

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ARABIAN JOURNAL OF GEOSCIENCES 2016年第7期9卷 1-12页

作者： Koylu, Umran Geymen, Abdurrahman Erciyes Univ Dept Geomat Engn TR-38039 Kayseri Turkey

Soil Conservation Service (SCS) curve number (CN) is used to calculate the potential runoff value in ungauged catchment basins. The CN method was applied to calculate the runoff in the catchment basin of the Yamula Dam which is located on the Kizilirmak River in the semi-arid climate of the Central Anatolia Region of Turkey. The analysis of the relation between the land use change and the change of the curve number (change of the runoff values) in the catchment basin can be calculated through geographic information system (GIS) techniques by using the data obtained from satellite images. Using GIS analysis with python language, SCS-CN technique was applied to study area efficiently. The estimated CN values indicate an uptrend in proportion to the increase in the water level and agricultural lands in the catchment basin. This change is relevant to the land use/land cover (LULC) and the land inclination and in connection with the morphological structure of the soil.

关键词： Curve number Remote sensing Geographic information system Runoff python language

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Pybel: a python wrapper for the OpenBabel cheminformatics toolkit

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CHEMISTRY CENTRAL JOURNAL 2008年第1期2卷 1-7页

作者： O'Boyle, Noel M. Morley, Chris Hutchison, Geoffrey R. Univ Cambridge Unilever Ctr Mol Sci Informat Dept Chem Cambridge CB2 1EW England Cambridge Crystallog Data Ctr Cambridge CB2 1EZ England Univ Pittsburgh Chevron Sci Ctr OpenBabel Dev Team Pittsburgh PA 15260 USA Univ Pittsburgh Chevron Sci Ctr Dept Chem Pittsburgh PA 15260 USA

Background: Scripting languages such as python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. However, for reasons of efficiency, cheminformatics toolkits such as the OpenBabel toolkit are often implemented in compiled languages such as C++. We describe Pybel, a python module that provides access to the OpenBabel toolkit. Results: Pybel wraps the direct toolkit bindings to simplify common tasks such as reading and writing molecular files and calculating fingerprints. Extensive use is made of python iterators to simplify loops such as that over all the molecules in a file. A Pybel Molecule can be easily interconverted to an OpenBabel OBMol to access those methods or attributes not wrapped by Pybel. Conclusion: Pybel allows cheminformaticians to rapidly develop python scripts that manipulate chemical information. It is open source, available cross-platform, and offers the power of the OpenBabel toolkit to python programmers.

关键词： Common Task Molecular Fingerprint Tanimoto Coefficient python language python Module

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Parameter optimization and economic analysis of a single-effect mechanical vapor compression (MVC) distillation system

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DESALINATION AND WATER TREATMENT 2020年 201卷 75-85页

作者： Liu, Cong Bi, Mingshu Cui, Guangrui Dalian Univ Technol Sch Chem Machinery Dalian 116023 Peoples R China

The current study is focused on the parameter optimization and economic analysis of a single-effect mechanical vapor compression (MVC) distillation system design. For this purpose, the effect of the parameters (seawater temperature, seawater flow rate, feed seawater temperature, and feed seawater and saturation temperature difference) on the MVC system performance (recovery ratio) is first discussed to obtain the optimal parameters. Second, an economic analysis is conducted to compare the simplified cost of water (SCOW) values at various plant capacities and recovery ratios. The results indicate that the recovery ratio grows with the increase in feed seawater temperature and the temperature difference between the feed temperature and saturation temperature. The variation in seawater temperature only affects the preheater area, not the evaporator performance. With increasing seawater temperature, the preheater area decreases. The economic analysis indicates that with increased feed seawater flow rate and recovery ratio, SCOW shows a decreasing trend from 2.37 to 2.03 ($/ton). With an increased feed seawater flow rate and recovery ratio, SCOW also decreased.

关键词： Mechanical vapor compression Single-stage python language Parameters optimization Economic analysis

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