检索结果-内蒙古大学图书馆

5th International Conference on Sustainable Civil engineering Structures and Construction Materials, SCESCM 2020

作者： Sukamta Billahi, Bagus Acung Widyanto, Susilo Adi Lie, Han Ay Department of Civil Engineering Diponegoro University Semarang Indonesia Master Program in Civil Engineering Diponegoro University Semarang Indonesia Department of Mechanical Engineering Diponegoro University Semarang Indonesia

ISBN: (纸本)9789811679230

The current bridge structure maintenance method is done by visual observation only, this often has limitations and the results obtained are less accurate. This research was conducted to obtain a vibratory mode data base which will be used as a basis for compiling the failure patterns of the bridge structure. Vibration mode measurements are carried out on the prototype and the bridge model using an accelerometer sensor mounted on the bridge structure. Accelerometer installed at several points to get variations in the vibrate mode. Dynamic load frequency variations are given to get vibrational mode variations. The results of the vibration mode measurement analysis show the similarity between the prototype and the model, so that the bridge model can be used to study structural failure patterns. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Dynamic loads

来源：评论

学校读者我要写书评

暂无评论

Development Experimental Investigations of Truss Bridge Model for Vibration-Based Structural Health Monitoring 5th

Development Experimental Investigations of Truss Bridge Mode...

引用

5th International Conference on Sustainable Civil engineering Structures and Construction Materials, SCESCM 2020

作者： Sukamta Alfiannur, Angga Widyanto, Susilo Adi Lie, Han Ay Department of Civil Engineering Diponegoro University Semarang Indonesia Master Program in Civil Engineering Diponegoro University Semarang Indonesia Department of Mechanical Engineering Diponegoro University Semarang Indonesia

ISBN: (纸本)9789811679230

In recent years the need for Structural Health Monitoring (SHM) has become increasingly important. Given current technological developments, a visual inspection can no longer be a reference due to inaccurate accuracy levels. In this case, there is a need for an early warning in detecting fast and accurate damage compared to visual inspection. This study proposes a vibration-based structural health monitoring analytical framework by introducing a modal analysis approach based on the bridges structural response. The test begins with making a small-scale model of a steel frame type bridge using the similarity model theory to project a prototype bridge. In this research, a damage simulation is given to the model to project damage to the structure. Static and dynamic tests are carrying to obtain the response characteristics of the structure. The assessment has delayed consequences exhibit that the variety of the supported discharge shows that contrasts look like the bend of the predominant recurrence that influences the FFT bend. Output values in natural frequency, mode shapes, and capital damping ratios were adopted as damage indicators. As a comparison, we are testing the model using FE simulation with a tolerance level of 10%. This research is using to build an SHM database system of the existing bridge structure model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Modal analysis

来源：评论

学校读者我要写书评

暂无评论

The tensile and flexural forces of acropora reef waste particulate-enchanced polyester composites 6th

The tensile and flexural forces of acropora reef waste parti...

引用

6th International Conference on Building Materials and Construction, ICBMC 2021, Nanotechnology and Nanomaterials in Energy, ICNNE 2021, and Energy engineering and Smart Materials, ICEESM 2021

作者： Pamungkas, Akmal Raka Surata, I. Wayan Nindhia, Tjokorda Gde Tirta Master Student at Study Program of Master in Mechanical Engineering Engineering Faculty Udayana University Denpasar Bali Indonesia Study Program of Mechanical Engineering Faculty of Engineering Udayana University Jimbaran Bali Indonesia

ISBN: (纸本)9783035718928

Composite is a material that combines two or more materials that basically dissimilar chemical or physical properties from one another. In this research, we used Acropora coral reef waste particulate and Resin Polyester BQTN type 157 with Methyl ethyl ketone peroxide (MEKP) 1% as the hardener. The Hand Lay-Up molding technique is used in the process of making the material. The tensile and flexure test is done according to the ASTM D3090 and ASTM D790 – 03 standards. The purpose of this research is to discover the means to produce a composite enhanced by Acropora coral reef waste with polyester matrix and to learn the tensile and flexure strength from the Acropora coral reef waste particulate-enhanced polyester composites with mass fraction varieties of 10%, 20%, 30%, and 40%. The tensile test result of Acroporal coral reef waste particulate with polyester matrix yields average tensile strength at mass fraction variety of 40% with a score of 19,66 MPa, with an Modulus score of 636,75 MPa. The flexure test result of Acropora coral reef waste particulate with polyester matrix yields average flexure stress at mass fraction variety of 40% with a score of 112,56 MPa, with an average Elastic Modulus score of 3098,96 MPa. © 2021 Trans Tech Publications Ltd, Switzerland.

关键词： Polyester resins

来源：评论

学校读者我要写书评

暂无评论

A Novel RBF-DDM Method for Modelling Transient Droplet Spreading in Simple Oil Shear Flow

SSRN

引用

SSRN 2024年

作者： Septiyanto, Muhamad Dwi Budiana, Eko Prasetya Hadi, Syamsul Faculty of Engineering Universitas Sebelas Maret Surakarta Indonesia Master Program of Mechanical Engineering Faculty of Engineering Universiitas Sebelas Maret Surakarta Indonesia

This current numerical model of droplet spreading in a simple oil shear flow is assessed using a hybrid combination of the radial basis function (RBF) and domain decomposition method (DDM). The complex interfacial interaction understanding of oil-water is challenging to consider appropriately with the RBF-DDM numerical solution. The governing equations, which consist of the Navier-Stokes equation in primitive variable form, the Cahn-Hilliard equation, and the Poisson equation, are solved using the Radial Basis Function (RBF) method for spatial derivatives and the forward Euler method for temporal derivatives. This combination of RBF and DDM successfully addressed the complex domain multiphase interaction, with the dense matrix solved in several subdomains. The capillary number (Ca) and initial oil velocity are two non-dimensionalization variables analyzed, with the deformation coefficient serving as the primary dependent variable. The findings reveal that both variables affect the deformation coefficient presented with the deformation based on non-dimensionalization time. As theoretically stated, the interfacial tension is inversely proportional to the Ca, meaning that a possibly high Ca leads to a higher deformation coefficient. To get accurate elaboration, the convergence analysis and statistical model analysis use root mean square divergence (RMSDIV) and root mean square error (RMSE), respectively. © 2024, The Authors. All rights reserved.

关键词： Navier Stokes equations

来源：评论

学校读者我要写书评

暂无评论

Investigations of the Acoustic Characteristics of Headphone with Hybrid Model

Investigations of the Acoustic Characteristics of Headphone ...

引用

2022 IEEE International Conference on Consumer Electronics, ICCE 2022

作者： Lei, Tzu-Hsuan Wu, Shu-Chien Liu, Yu-Cheng Feng Chia University Program of Mechanical and Aeronautical Engineering Taichung City Taiwan Feng Chia University Master Program of Electro-Acoustics Taichung City Taiwan

ISBN: (纸本)9781665441544

In the study, a Hybrid Model consisting of T/S parameters and Finite Element Method is proposed to simulate acoustic radiation characteristics of headphones, with verifications based on comparisons with measurement results. In addition to discussing the predictive ability of this model for the acoustic characteristics of microspeaker, Brüel Kjær Head Torso Simulator, artificial ear, and standard IEC 711 coupler were used to simulate and analyze the acoustic characteristics of headphone in pressure field. Moreover, the impact of vented rear chamber on acoustic characteristics is discussed and relevant simulation and measurement results are compared. Based on the results, this Hybrid Model accurately predicts acoustic radiation characteristics of microspeakers, including resonance frequency and edge mode frequency characteristics, in addition to the free field performance of headphone front and rear chambers and the pressure field performance of entire headphone on human head simulator. This predictive ability is especially significant at frequencies below 10 kHz, including the effective elevation of low frequency pressure performance of vented rear chamber at under 200 Hz and the changes in pressure valley values at mid frequency of around 300 Hz. © 2022 IEEE.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

Research on Track Fasteners and Rails Surface Detection using Image Recognition and Data Management System Technology

Research on Track Fasteners and Rails Surface Detection usin...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ming-An Chung Chun-Chia Lin Department of Electronic Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan College of Mechanical and Electrical Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

This research uses image recognition to conduct track fastener and rail surface defect detection. To counteract the dataset imbalance, design an image manager system to change the image's size, brightness, flip, and rotation. Comparing original and enhanced datasets by the precision of three different image recognition, results indicate the improvement of YOLO V8 Nano and optimized YOLO V4. However, the YOLO V7 model has a lower precision rate but a more promising recall rate.

关键词： YOLO Rails Training Image recognition Accuracy Force Fasteners

来源：评论

学校读者我要写书评

暂无评论

Data Enhancement Based on Adding Noise to Improve The Detection of Rail Surface Defects and Sleeper Fractures

Data Enhancement Based on Adding Noise to Improve The Detect...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ming-An Chung Jia-Wei Lin Department of Electronic Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan College of Mechanical & Electrical Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

Railway track inspection and maintenance is a significant topic. This research introduces a track inspection method based on image recognition to attain a rapid and effective track inspection methodology. The approach employs image enhancement technology to augment the dataset’s content, thereby improving the detection accuracy of the track detection model. The experiment indicates an improvement of substantial accuracy when employing image enhancement technology to augment the dataset, irrespective of the YOLOv5n or YOLOv5s model. The model’s average accuracy (mAP50) in detecting sleeper breaks reached the highest score of 99.5%. The datasets are publicly available at https://***/softteacherrail-xxepi/l10_ul_50_2.

关键词： Rails YOLO Training Accuracy Noise Inspection Predictive models

来源：评论

学校读者我要写书评

暂无评论

Modification of Deeplab V3+ for Detecting Cracks on Steel Rail Surfaces

Modification of Deeplab V3+ for Detecting Cracks on Steel Ra...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ming-An Chung Yi-Xuan Ma Department of Electronic Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan College of Mechanical and Electrical Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

This study proposes an improved deep learning model for detecting surface cracks on railway steel tracks, addressing the urgent safety needs in the growth of railway construction. The improved Deeplab V3+ model architecture can improve feature extraction efficiency and reduce computational costs. Based on experimental results, the model outperforms others in pixel accuracy and processing speed. This study provides an effective approach for improving railway crack detection, and future work will focus on further optimizing the model for practical applications in railway inspections.

关键词： Accuracy Computational modeling Semantic segmentation Refining Computer architecture Rail transportation Safety

来源：评论

学校读者我要写书评

暂无评论

Improving Track Fastener And Rail Crack Detection Based On Data Enhancement Of Defect Images

Improving Track Fastener And Rail Crack Detection Based On D...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ming-An Chung Pu-Chun Chen Department of Electronic Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan College of Mechanical & Electrical Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

In order to solve the defect images of fastener damage and rail fracture are seriously less than the normal images, this study proposes to use the lightweight and fast-identifying YoLov5 to train the model for fastener and rail defects based on the data enhancement of the track defect *** show that the detection data of the model after data enhancement is better than that without data enhancement.

关键词： Rails YOLO Accuracy Fasteners Data models Consumer electronics

来源：评论

学校读者我要写书评

暂无评论

A Railway Inspection System Based On A Semantic Segmentation Network And Image Processing

A Railway Inspection System Based On A Semantic Segmentation...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ming-An Chung Chen-You Gao Department of Electronic Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan Department of Mechanical and Electrical Engineering Master Program in Smart Railway National Taipei University of Technology Taipei Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

Rail surface defects and missing fasteners are significant topics in railway detection. However, the detection of images may be subject to noise due to the diversity of environmental conditions, leading to a reduction in accuracy. Therefore, the paper proposes a method based on a semantic segmentation network and image processing. First, to address the problem of data preprocessing, this article introduces a bilateral filter into the U-Net algorithm to reduce noise and improve the efficiency of extracting edge features. Second, locations of rail surface defects and missing fasteners were detected from the U-Net. Finally, the article compares with other literature. The proposed method's effectiveness is demonstrated through experimental results, with accuracy rates of 99.9% for rail surface defects and 98.1% for missing fasteners, respectively.

关键词： Rails Accuracy Image synthesis Semantic segmentation Noise Fasteners Inspection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：