{"title":"用设计图和r值乘数法进行砌体墙体热工设计的有效方法","authors":"M. Ismaiel, L. Westover, Yuxiang Chen","doi":"10.1080/19401493.2022.2095032","DOIUrl":null,"url":null,"abstract":"The effective thermal resistance of masonry cavity walls is affected by thermal bridging, which is common in connecting masonry veneers to structural backup walls. Therefore, a precise estimation of the R-value of masonry cavity walls is currently a time-consuming task, which lengthens the design process, especially in the early design stage where many design options (e.g. structural and thermal) need to be explored holistically. This paper presents an efficient approach for estimating the R-values of common masonry cavity wall configurations in the form of simple design charts and R-value multipliers. Parameters such as the block density, thermal insulation value, and the types of ties and shelf angles are addressed in this study. The approach simultaneously provides the mechanical (the masonry compressive strength, fm′) and thermal (R-value) properties of different cavity wall configurations, allowing designers to obtain appropriate structural and thermal properties during a preliminary design phase without using computer simulations.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An efficient approach for thermal design of masonry walls using design charts and R-value multipliers\",\"authors\":\"M. Ismaiel, L. Westover, Yuxiang Chen\",\"doi\":\"10.1080/19401493.2022.2095032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effective thermal resistance of masonry cavity walls is affected by thermal bridging, which is common in connecting masonry veneers to structural backup walls. Therefore, a precise estimation of the R-value of masonry cavity walls is currently a time-consuming task, which lengthens the design process, especially in the early design stage where many design options (e.g. structural and thermal) need to be explored holistically. This paper presents an efficient approach for estimating the R-values of common masonry cavity wall configurations in the form of simple design charts and R-value multipliers. Parameters such as the block density, thermal insulation value, and the types of ties and shelf angles are addressed in this study. The approach simultaneously provides the mechanical (the masonry compressive strength, fm′) and thermal (R-value) properties of different cavity wall configurations, allowing designers to obtain appropriate structural and thermal properties during a preliminary design phase without using computer simulations.\",\"PeriodicalId\":49168,\"journal\":{\"name\":\"Journal of Building Performance Simulation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Building Performance Simulation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/19401493.2022.2095032\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Building Performance Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19401493.2022.2095032","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
An efficient approach for thermal design of masonry walls using design charts and R-value multipliers
The effective thermal resistance of masonry cavity walls is affected by thermal bridging, which is common in connecting masonry veneers to structural backup walls. Therefore, a precise estimation of the R-value of masonry cavity walls is currently a time-consuming task, which lengthens the design process, especially in the early design stage where many design options (e.g. structural and thermal) need to be explored holistically. This paper presents an efficient approach for estimating the R-values of common masonry cavity wall configurations in the form of simple design charts and R-value multipliers. Parameters such as the block density, thermal insulation value, and the types of ties and shelf angles are addressed in this study. The approach simultaneously provides the mechanical (the masonry compressive strength, fm′) and thermal (R-value) properties of different cavity wall configurations, allowing designers to obtain appropriate structural and thermal properties during a preliminary design phase without using computer simulations.
期刊介绍:
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies
We welcome building performance simulation contributions that explore the following topics related to buildings and communities:
-Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics).
-Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems.
-Theoretical aspects related to occupants, weather data, and other boundary conditions.
-Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid.
-Uncertainty, sensitivity analysis, and calibration.
-Methods and algorithms for validating models and for verifying solution methods and tools.
-Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics.
-Techniques for educating and training tool users.
-Software development techniques and interoperability issues with direct applicability to building performance simulation.
-Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.