We propose a new algorithm named essential structure finite element (ESFE) algorithm. The shape function of neighborhood of a point in the solution domain is defined thus we derive the definition of the essential structure. Based on this, we deduce the essential structure equation in terms of the principle of the classical Galerkin method. Then we obtain the coefficients of the essential structure equation by constructing the essential structure shape function with the mergence of the elements shape function. In this work, this new algorithm is used to solve the MT1D forward problem with continuous change of conductivity. Six kinds of shape functions with the powers of from one to six are used to perform the calculation, and exemplified.
Recently, indoor thermal comfort has received more scholarly attention than ever due to the COVID-19 pandemic and global warming. However, most studies on indoor thermal comfort in China concentrated on urban buildings in the east and north. The indoor thermal comfort of rural dwellers in southwest China is insufficiently investigated. Hence, this study assesses residents' indoor thermal comfort in a rural dwelling in Linshui, obtains the thermal neutral temperature of the rural area, and analyzes the thermal adaptation behavior of rural dwellers. The results reveal that the thermal neutral temperature of rural dwellers is 29.33°C (operative temperature), higher than that presented in previous studies based on the same climate region. Indoor thermal conditions in rural dwellings are relatively harsh, but various thermal adaptation behavior of rural dwellers significantly improve their ability to withstand the harsh conditions. When people live in an environment with a (relatively) constant climate parameter (e.g., humidity), their perception of that parameter seems compromised. Most rural dwellers are unwilling to use cooling equipment with high energy consumption. Therefore, more passive cooling measures are recommended in the design and renovation of rural dwellings.
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