CAJ | 학술논문

建筑围护结构传热系数的反演研究是典型的热传导反问题研究。针对围护结构传热特征，将其简化为一维热传导过程来处理。通过采用有限控制体积法(FCV)求解一维热传导模型为基础，采用 Bayesian 推理已知先验分布与条件概率分布求后验概率分布，而后验概率分布便是反问题的解。采用马尔科夫链蒙特卡罗(Markov Chain Monte Carlo，MCMC)算法，通过构造 Markov Chian 对传热系数进行反演估计。算例计算结果表明 MCMC-Bayes 方法对围护结构传热系数反演估计是可行的。
건축위호결구전열계수적반연연구시전형적열전도반문제연구。침대위호결구전열특정，장기간화위일유열전도과정래처리。통과채용유한공제체적법(FCV)구해일유열전도모형위기출，채용 Bayesian 추리이지선험분포여조건개솔분포구후험개솔분포，이후험개솔분포편시반문제적해。채용마이과부련몽특잡라(Markov Chain Monte Carlo，MCMC)산법，통과구조 Markov Chian 대전열계수진행반연고계。산례계산결과표명 MCMC-Bayes 방법대위호결구전열계수반연고계시가행적。
Inverse problem study on thermal conductivity of building envelope is a typical inverse heat conduction issue. In view of the heat transfer characteristics of building envelope and it’s simplified as one-dimensional heat conduction process. Using prior distribution of bayesian inference and the conditional probability distribution for poster probability distribution by solving one-dimensional heat conduction model about the Finite Control Volume method (FCV), then poster probability distribution is the solution of the inverse problem. Estimate the heat transfer inversion by constructing Markov Chian with the Markov Chain Monte Carlo algorithm. The result of example calculation shows that the MCMC-Bayes method to estimate thermal conductivity of building envelope is feasible.