Construction Materials最新文献_第3页

Improving the EAR Index for Flexible Pavement and a Preliminary Definition of an Environmental Index (ECR) for Rigid Pavement 改进柔性路面的 EAR 指数和初步定义刚性路面的环境指数 (ECR)

Construction Materials Pub Date : 2024-01-12 DOI: 10.3390/constrmater4010007

Cristina Tozzo, Davide Chiola, Matteo Pierani, Leonardo Urbano, Riccardo Ricci, Stefano Susani

{"title":"Improving the EAR Index for Flexible Pavement and a Preliminary Definition of an Environmental Index (ECR) for Rigid Pavement","authors":"Cristina Tozzo, Davide Chiola, Matteo Pierani, Leonardo Urbano, Riccardo Ricci, Stefano Susani","doi":"10.3390/constrmater4010007","DOIUrl":"https://doi.org/10.3390/constrmater4010007","url":null,"abstract":"Nowadays, roadway infrastructures are designed in order to satisfy technical and economical requirements, as well as to guarantee advanced environmental performance. Focusing on that, this paper deals with an innovative procedure for the characterization of pavement materials, both asphalt and cement-bound mixtures. The methodology takes its cue from a previous study in which the so-called Environmental Asphalt Rating (EAR) was firstly introduced as a reference parameter for asphalt pavements to evaluate technical offers and for the assignment of scores, in terms of environmental impacts, during the tender phase. In this work, the EAR methodology is revised with a focus on the main variations and improvements related to the new version of the ISO standard. By applying the same approach to rigid or concrete pavements, a preliminary version of the Environmental Concrete Rating (ECR) is presented. For ECR, a correction is provided regarding functionality through a fatigue-related parameter and the surface characteristics related to the IRI value. Despite its strong applicability to the pavement sector, the strength of the proposed method is its ability to be fine-tuned to different fields by varying the associated performance coefficients.","PeriodicalId":514455,"journal":{"name":"Construction Materials","volume":"53 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139532850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Oat Husk Extracts on Mid-Stage Cement Hydration and the Mechanical Strength of Mortar 燕麦萃取物对中期水泥水化和砂浆机械强度的影响

Construction Materials Pub Date : 2024-01-11 DOI: 10.3390/constrmater4010006

Alysson Larsen Bonifacio, Paul Archbold

{"title":"Impact of Oat Husk Extracts on Mid-Stage Cement Hydration and the Mechanical Strength of Mortar","authors":"Alysson Larsen Bonifacio, Paul Archbold","doi":"10.3390/constrmater4010006","DOIUrl":"https://doi.org/10.3390/constrmater4010006","url":null,"abstract":"The valorisation of lignocellulosic resources, such as oat husks, as components in cementitious composites presents challenges regarding their compatibility with the matrix due to the solubilisation of their surface components and products from alterations induced by the alkaline environment of lime-based matrices. These negatively affect the matrix. This study aims to fill the knowledge gap regarding the compatibility and effects of the extractives found in oat husks with the cement matrix. It intends to characterise oat husks’ structural composition, evaluate the extractive removal efficiency, assess their influence on cement matrix hydration using thermogravimetric techniques, and analyse mechanical strength development between 3 and 28 days. The study concludes that hot water is more efficient for extractive removal, and the immersion duration is more relevant than the number of washing cycles. Furthermore, it confirms that husks’ extractives inhibit cement matrix hydration products and mechanical strength development, especially in the presence of degradation products. These findings are essential for determining more efficient approaches to enhance compatibility between oat husks and cementitious matrices.","PeriodicalId":514455,"journal":{"name":"Construction Materials","volume":"3 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139438068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thermal Analysis of Concrete Blocks and Stack-Bond Prisms under Different Boundary Conditions 不同边界条件下混凝土块和叠合棱柱的热分析

Construction Materials Pub Date : 2024-01-03 DOI: 10.3390/constrmater4010004

G. Nalon, J. C. L. Ribeiro, L. Pedroti, Roberto Marcio da Silva, Eduardo Nery Duarte de Araújo

{"title":"Thermal Analysis of Concrete Blocks and Stack-Bond Prisms under Different Boundary Conditions","authors":"G. Nalon, J. C. L. Ribeiro, L. Pedroti, Roberto Marcio da Silva, Eduardo Nery Duarte de Araújo","doi":"10.3390/constrmater4010004","DOIUrl":"https://doi.org/10.3390/constrmater4010004","url":null,"abstract":"Fire is a significant threat to human lives and the integrity of buildings. To better understand the complex behavior of masonry exposed to high temperatures, thermal analyses were carried out to evaluate the temperature distribution in concrete blocks and stack-bond prisms exposed to high temperature levels. The effects of distinct specimen boundary conditions (restrict or easy access to air circulation inside the voids of the block and prisms) on the thermal response of the masonry materials were investigated. Thersys 2.0 software was used to implement three-dimensional thermal analysis of distinct finite element models. Four-node tetrahedral elements and full integration were used in all models. The modeling approach was validated by experimental data obtained from thermocouples embedded into masonry components. The results indicated that the boundary conditions significantly affected the time required for homogenization of temperature in blocks and prisms. Easy access to air circulation inside the voids of the prisms provided a faster temperature homogenization. In this scenario, the prism reached temperature ranges of (300 ± 0.5% × 300) °C and (600 ± 0.5% × 600) °C after exposure times of 2 h and 2 h 10 min, respectively. When access to air circulation within the voids of the prisms was limited, the same temperature ranges were achieved after exposure times of 5 h 20 min and 6 h, respectively.","PeriodicalId":514455,"journal":{"name":"Construction Materials","volume":"48 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139451006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive Analysis of the Integration of Deep Learning Models in Concrete Research from a Structural Health Perspective 从结构健康角度全面分析深度学习模型在混凝土研究中的应用

Construction Materials Pub Date : 2024-01-03 DOI: 10.3390/constrmater4010005

A. Chowdhury, Rashed Kaiser

{"title":"A Comprehensive Analysis of the Integration of Deep Learning Models in Concrete Research from a Structural Health Perspective","authors":"A. Chowdhury, Rashed Kaiser","doi":"10.3390/constrmater4010005","DOIUrl":"https://doi.org/10.3390/constrmater4010005","url":null,"abstract":"Concrete stands as the most widely used construction material globally due to its versatility, encompassing applications ranging from pavement, multifloor structures, and bridges to dams. However, these concrete structures endure structural stress and require close monitoring to prevent accidents and ensure sustainability throughout their complete life cycle. In recent years, artificial intelligence (AI) and computer vision (CV) have demonstrated considerable potential in diverse applications within construction engineering, including structural health monitoring (SHM) and inspection processes such as crack and damage detection, as well as rebar exposure. While it is undeniable that CV and deep learning models are transforming the construction industry by offering robust solutions for complex scenarios, there remain numerous challenges pertinent to their applications that require attention. This paper aims to systematically and critically review the literature of the past decade on the application of deep learning models in the construction industry for SHM purposes in concrete structures. The review delves into proposed methodologies and technologies while identifying opportunities and challenges associated with these applications in practice. Additionally, the paper provides insights to bridge the gap between theory and application.","PeriodicalId":514455,"journal":{"name":"Construction Materials","volume":"130 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139387673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0