COMSOL-based parametric simulation dataset for thermal performance prediction of conventional light-gauge steel-framed walls

This dataset contains 5,000 COMSOL-based parametric simulation samples for conventional light-gauge steel-framed walls. The dataset includes geometric parameters, material thermophysical properties, convective boundary conditions, indoor and outdoor air temperatures, and corresponding thermal performance indicators, including thermal transmittance, total thermal resistance, average heat flux density, and average inner and outer surface temperatures. The dataset was used to train and evaluate machine-learning surrogate models for rapid thermal performance prediction of conventional LSF walls.本数据集包含基于COMSOL的常规轻钢龙骨（Light-gauge Steel-framed，简称LSF）墙体参数化仿真样本共计5000组。数据集涵盖几何参数、材料热物理性质、对流边界条件、室内外空气温度，以及对应的热性能指标，包括传热系数、总热阻、平均热流密度及内外表面平均温度。本数据集可用于训练和评估用于快速预测常规LSF墙体热性能的机器学习代理模型。