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Titlebook: Numerical Methods for Diffusion Phenomena in Building Physics; A Practical Introduc Nathan Mendes,Marx Chhay,Denys Dutykh Textbook 2019 Spr

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发表于 2025-3-21 19:58:40 | 显示全部楼层 |阅读模式
书目名称Numerical Methods for Diffusion Phenomena in Building Physics
副标题A Practical Introduc
编辑Nathan Mendes,Marx Chhay,Denys Dutykh
视频video
概述Fulfils concisely traditional numerical methods that can be applied in the field of diffusion transport phenomena.Presents advanced methods that are not yet applied in the field.Gives an overview of r
图书封面Titlebook: Numerical Methods for Diffusion Phenomena in Building Physics; A Practical Introduc Nathan Mendes,Marx Chhay,Denys Dutykh Textbook 2019 Spr
描述This book is the second edition of .Numerical methods for diffusion phenomena in building physics: a practical introduction. originally published by PUCPRESS (2016). It intends to stimulate research in simulation of diffusion problems in building physics, by providing an overview of mathematical models and numerical techniques such as the finite difference and finite-element methods traditionally used in building simulation tools. Nonconventional methods such as reduced order models, boundary integral approaches and spectral methods are presented, which might be considered in the next generation of building-energy-simulation tools. In this reviewed edition, an innovative way to simulate energy and hydrothermal performance are presented, bringing some light on innovative approaches in the field.
出版日期Textbook 2019
关键词Building physics; numerical methods; building simulation; simulation tools; moisture prediction; conducti
版次1
doihttps://doi.org/10.1007/978-3-030-31574-0
isbn_softcover978-3-030-31576-4
isbn_ebook978-3-030-31574-0
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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发表于 2025-3-22 00:09:57 | 显示全部楼层
Basics in Practical Finite-Element Methodhan on the numerical properties that this approach benefits; References [5, 106] provide an introduction. A very large literature survey, sorted by fundamental references, mathematical foundations, applications, implementation techniques, and other special topics as well as proceedings of symposia a
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Explicit Schemes with Improved CFL Condition additional constraints if one wants to have a stable numerical scheme. These restrictions are known in the literature under the name of Courant–Friedrichs–Lewy conditions [43]. For parabolic diffusion equations they can be too prohibitive to use explicit schemes in general. In the present chapter w
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Reduced Order Methods and lengths. Simulation of building behavior is generally analyzed on a time scale of 1 year (or more). However, the phenomena and particularly the boundary conditions evolve in seconds. The geometric configurations of the buildings require three-dimensional modeling of a facade of several meters.
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Boundary Integral Approachese evaluations may be needed. Thus, classical numerical approaches would require a whole domain computation, which requires a considerable amount of information (and computation effort). The idea of using a boundary integral approach is to reduce the computation domain by using an analytic expression
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Spectral Methods stemming from the building physics is given in Sect. .. Finally, we give some indications for the further reading in Sect. .. This document contains also a certain number of Appendices directly or indirectly related to spectral methods. For instance, in Appendix . we give some useful identities abo
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Exercises and Problemsnite differences and finite elements) and nontraditional numerical methods (boundary integral approach, reduced order methods, and spectral methods). In addition, some practical examples were provided to assist the readers in comprehending the methods. This chapter aims at providing more complex exe
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rements. While surnaming can be constructed from a digital signature, we show that a direct construction can be somewhat simpler..We explain how surnaming plays a central role in Intel’s new Software Guard Extensions (SGX) technology, and present its specific surnaming implementation as a special ca
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