Periodica Polytechnica-Civil Engineering最新文献_第7页

Mechanical Response of Thin Composite Beams Made of Functionally Graded Material Using Finite Element Method 用有限元法研究功能梯度材料薄复合梁的力学响应

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-31 DOI: 10.3311/ppci.21909

Khaled Boumezbeur, Mourad Khebizi, M. Guenfoud, Ilies Guendouz

引用次数: 0

Investigation of the Load-settlement Behavior of Box-shaped Deep Foundations 箱形深地基荷载沉降特性研究

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-31 DOI: 10.3311/ppci.22359

Serdar Günay, Özer Çinicioğlu

引用次数: 0

Evaluation of Static Nonlinear Behavior of Coupled Reinforced Concrete Shear Walls with Steel Beams 钢筋混凝土-钢梁耦合剪力墙静力非线性性能评价

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-25 DOI: 10.3311/ppci.21476

P. Beiranvand, A. Kazemi, A. Amiri, M. Hosseini, Esfandyar Abasi

引用次数: 0

Data-driven Dynamic-classifiers-based Seismic Failure Mode Detection of Deep Steel W-shape Columns 基于数据驱动的动态分类器的深钢w形柱地震失效模式检测

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-22 DOI: 10.3311/ppci.21427

M. S. Barkhordari, M. Tehranizadeh

{"title":"Data-driven Dynamic-classifiers-based Seismic Failure Mode Detection of Deep Steel W-shape Columns","authors":"M. S. Barkhordari, M. Tehranizadeh","doi":"10.3311/ppci.21427","DOIUrl":"https://doi.org/10.3311/ppci.21427","url":null,"abstract":"It is vital to assess the health of buildings following a major earthquake. New technologies such as deep learning algorithms have grown increasingly tempting in such rapid applications because of their increased reliabilities and simplicity to traditional methods. Due to the kinematics of steel moment frames, inelastic deformations tend to concentrate within the steel column during an earthquake, resulting in local or global buckling. Rapid failure mode detection of the existing deep steel W-shape columns (DSWCs) cannot be quickly identified due to a lack of comprehensive empirical and mechanics-based models. This research proposed a machine learning (ML) algorithm based on the state-of-the-art techniques of dynamic classifiers for failure mode forecasting of the DSWCs using an experimental database and illustrated why the ML model suggests a specific failure mode for a particular sample. The database was created by combining 939 instances from various studies that have been published. A total of six machine learning models based on Dynamic Selection strategy were implemented. Three metrics, i.e., accuracy, precision, and recall, were used to evaluate the performance of models. As a result of the extensive examination, a machine learning model based on the META-DES model was proposed. In the training stage, Overall Local Accuracy, A-Priori, and META-DES algorithms, received the highest score (>0.96) across all criteria. The META-DES model correctly predicted the failure mode of the DSWCs with an accuracy of 0.907 in the testing phase. The META-DES algorithm performed better than previous methods which are employed to identify the failure mode.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78046293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Investigating the Effect of Low-Yield Yielding Dampers on the Seismic Behavior of Steel Frames 低屈服屈服阻尼器对钢框架抗震性能影响的研究

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-17 DOI: 10.3311/ppci.21804

Kambiz Cheraghi, M. H. Tavana, R. Aghayari

{"title":"Investigating the Effect of Low-Yield Yielding Dampers on the Seismic Behavior of Steel Frames","authors":"Kambiz Cheraghi, M. H. Tavana, R. Aghayari","doi":"10.3311/ppci.21804","DOIUrl":"https://doi.org/10.3311/ppci.21804","url":null,"abstract":"Yielding dampers operate based on plastic deformations and energy dissipation. Given its low yield stress point and high ductility, low-yield steel is a suitable choice to build yielding dampers. In the present study, using the ABAQUS software, a number of pushover analyses have been carried out on a steel frame equipped with low-yield yielding dampers (LYDs). Therefore, using 40 pushover analyses, the effects of the number of the LYDs and the column’s axial force have been evaluated. All of the models were analyzed and their force-displacement curves were obtained. Using the obtained, different seismic aspects of the frame – i.e., ductility, strength, energy dissipation, stiffness – were assessed. Also, to calculate the values of effective stiffness and yield and ultimate strengths, a number of analytical relationships have been formulated. Finally, contour plots have been obtained which can be used to calculate the stiffness of the proposed LYD. Comparing results showed that the damper can, to an acceptable level, improve the seismic parameters of the structure. Also, if the stiffness and yield strength of all of the LYDs added to the frame are, respectively, 3.25 and 0.13 times those of the bare frame, the frame will have its best performance.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81282830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Role of Nonlinearity in the Soil in Earthquake-Resistant Design of Structures 土体非线性在结构抗震设计中的作用

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-17 DOI: 10.3311/ppci.21641

Yaseen Shayah, L. Kollár

{"title":"Role of Nonlinearity in the Soil in Earthquake-Resistant Design of Structures","authors":"Yaseen Shayah, L. Kollár","doi":"10.3311/ppci.21641","DOIUrl":"https://doi.org/10.3311/ppci.21641","url":null,"abstract":"The nonlinearity of the soil may considerably affect the response of structures subjected to seismic events. This paper aims to show under which circumstances geometry, soil, and earthquake-type; the nonlinearity is important. A simple model based on a 1D shear column was developed to calculate the maximum shear strain (γ) in the soil subjected to earthquake excitation. It was found that γ is a function of peak ground acceleration PGA and the maximum horizontal ground displacement (∆). EC8 provides an expression for calculating ∆ that is independent of the soil thickness. It was found that this expression is conservative for shallow layers and underestimates γ for thick ones, as a result, improvements have been suggested. By performing several time history analyses, simple formulas are developed which enable the designer to assess when nonlinearity must be taken into account. Four curves based on soil thickness and peak ground acceleration have been introduced for different soil types (A, B, C, and D) using a limit value of γ = 10–4. These curves show that depending on the soil depth, the threshold acceleration of nonlinear soil behavior is around 0.48, 0.36, 0.29, and 0.10 m/s2 for soil types A, B, C, and D, respectively. Obviously, nonlinear analysis must be performed for shallow soil layers under moderate seismicity.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85443952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods 用软计算和统计方法预测岩石抗拉强度

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-16 DOI: 10.3311/ppci.22179

Jinhuo Zheng, Minglong Shen, M. Motahari, M. Khajehzadeh

{"title":"Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods","authors":"Jinhuo Zheng, Minglong Shen, M. Motahari, M. Khajehzadeh","doi":"10.3311/ppci.22179","DOIUrl":"https://doi.org/10.3311/ppci.22179","url":null,"abstract":"The tensile strength of the rocks is one of the effective factors in the rupture of structure foundations and underground spaces, the stability of rocky slopes, and the ability to drill and explode in rocks. This research was conducted to estimate tensile strength using methods such as simple regression (SR), multivariate linear regression (MVLR), support vector regression (SVR) with radial basis kernel function, multilayer feed-forward artificial neural network (MFF-ANN), Gaussian process regression (GPR) using squared exponential kernel (SEK) function, and adaptive neuro-fuzzy inference system (ANFIS) based on Gaussian membership function. For this purpose, petrography, and engineering features of the limestone, sandstone, and argillaceous limestone samples in the south of Iran, were assessed. The results obtained from this study were compared with those of previous research, revealing a strong correlation (R2=0.95 to 1.00) between our findings and the published works. To estimate Brazilian tensile strength (BTS), the index properties including water absorption by weight, point load index (PLI), porosity%, P-wave velocity (Vp), and density were considered as inputs. Methods were compared using various criteria. The SVR precision (R=0.96) was higher than MFF-ANN (R=0.92), ANFIS (R=0.95), GPR (R=0.945), and MVLR (R=0.89) to estimate the tensile strength. The average BTS measured in the laboratory and predicted by all 5 methods is 6.62 and 6.71 MPa, respectively, which shows the very high precision of the investigated methods. Analysis of model criteria using statistical analysis for developed relationships revealed that there is sufficient accuracy to use the empirical equations.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87351401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microstructural Changes of High Strength Concrete during Low Cycle Compression Fatigue Test after Exposure to High Temperature 高温低周压缩疲劳试验中高强度混凝土的微观结构变化

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-15 DOI: 10.3311/ppci.21506

D. Zhao, Wenbo He, Peiyuan Hao

引用次数: 0

Development of Structural Damage Detection Method Working with Contaminated Vibration Data via Autoencoder and Gradient Boosting 基于自编码器和梯度增强的污染振动数据结构损伤检测方法的发展

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-09 DOI: 10.3311/ppci.22373

V. Dang

{"title":"Development of Structural Damage Detection Method Working with Contaminated Vibration Data via Autoencoder and Gradient Boosting","authors":"V. Dang","doi":"10.3311/ppci.22373","DOIUrl":"https://doi.org/10.3311/ppci.22373","url":null,"abstract":"Vibration-based structural damage detection is one of the most promising venues for building smart and automated structural health monitoring applications; however, its applicability is impeded by a large amount of collected vibration data, and the performance could be undermined by degraded data. Therefore, this study develops a robust framework, dubbed AutoBoost-SDD, that can effectively handle contaminated vibration data and provide reliable monitoring results within reasonable computational resources. The proposed method consists of three key components. Firstly, multi-domain feature extraction techniques are utilized to convert high-dimensional raw data into informative feature vectors. Secondly, the auto-encoder deep learning architecture is leveraged to refine feature vectors of contaminated data. Finally, a tree-based boosting machine learning algorithm, namely LightGBM, is employed to assess the structures’ operational states using learned output from the second step. The viability and performance of the proposed framework are illustrated via three case studies involving numerical data of a 5-degree of freedom system, a 2D frame structure, and experimental data of a large-scale 18-story frame structure from the literature. The results show that the AutoBoost-SDD framework is able to provide reasonable detection results despite the presence of various contaminations, including noisy, missing, and anomalous data.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73606480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Higher-Order Zigzag Function Applied to Refined Unified Beam Theory for the Analysis of Composite Laminated Materials 一种新的高阶之字形函数应用于复合材料层合材料的精细统一梁理论分析

IF 1.8 4区工程技术

Periodica Polytechnica-Civil Engineering Pub Date : 2023-05-08 DOI: 10.3311/ppci.21784

Leonardo Fellipe Prado Leite, F. C. Da Rocha

{"title":"A Novel Higher-Order Zigzag Function Applied to Refined Unified Beam Theory for the Analysis of Composite Laminated Materials","authors":"Leonardo Fellipe Prado Leite, F. C. Da Rocha","doi":"10.3311/ppci.21784","DOIUrl":"https://doi.org/10.3311/ppci.21784","url":null,"abstract":"Highly efficient materials and structures are becoming increasingly common in military, aeronautical, aerospace, mechanical, and civil engineering applications. Composite materials have been developed to address the need to combine two or more materials to achieve superior properties. Many structural elements, such as laminated beams, use composite materials, but an accurate mathematical model of the bending behavior is required due to the abrupt changes in material properties in the interlaminar zones. This accurate model can be achieved using zigzag theory. This theory is one of the most commonly used formulations for modeling laminated beams. This theory is an improvement of the equivalent single-layer theory as an additional term called the “zigzag function” is used to represent the variation in the axial displacement along the cross section. This paper proposes a novel high-order zigzag function in a sinusoidal format. Several higher-order beam theories are combined with the proposed functions, and their performances are compared with those of other functions in the literature. The results reveal excellent agreement between the proposed formulation and the reference solution as well as a more effective combination of zigzag functions and beam theory.","PeriodicalId":49705,"journal":{"name":"Periodica Polytechnica-Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90304540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0