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Identification of envelope hygrothermal properties based on in-situ sensor measurements and stochastic inverse methods

机译：基于原位传感器测量和随机逆方法的包络湿热特性识别

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The present paper investigates the performance of gradient-free inversion methods applied to the characterisation of hygrothermal properties of building materials. Two classes of techniques were implemented to solve the inverse problem of envelope parameter identification: the Covariance Matrix Adaptation evolution strategy, and Bayesian inference. The comparison was made on the basis of a numerical benchmark, which showed that such advanced characterisation techniques can learn from incomplete or noisy data and provide reliable material characteristics, given sufficient sensor measurements. A possible application is the improvement of traditional experimental techniques for hygrothermal characterisation in labs.

机译：本文研究了应用于建筑材料湿热性质表征的梯度无转化方法的性能。实施了两种技术以解决信封参数识别的反问题：协方差矩阵适应演化策略，贝叶斯推论。基于数值基准进行了比较，这表明这种先进的表征技术可以从不完整或嘈杂的数据中学习并提供可靠的材料特性，给定足够的传感器测量。可能的应用是改善实验室中湿热特性的传统实验技术。

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《International Building Physics Conference》|2016年||共6页
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Simon Rouchier; Monika Woloszyn; Timea Bejat;
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中图分类能源;
关键词
identification; inverse methods; heat and moisture transfer; evolutionary algorithm; Bayesian inference;

机译：鉴定;逆方法;热和湿度转移;进化算法;贝叶斯推理;

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4. Identification of envelope hygrothermal properties based on in-situ sensor measurements and stochastic inverse methods [C] . Simon Rouchier, Monika Woloszyn, Timea Bejat International Building Physics Conference . 2016

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7. Identification of Envelope Hygrothermal Properties Based on In-situ Sensor Measurements and Stochastic Inverse Methods [O] . Rouchier Simon, Woloszyn Monika, Bejat Timea 2015

机译：基于原位传感器测量和随机逆方法的包络湿热性质识别

Identification of envelope hygrothermal properties based on in-situ sensor measurements and stochastic inverse methods

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