Evaluation of equivalent static wind load has been one of the most important topics among wind engineering researches. Over the years, methodologies have been developed to evaluate the equivalent static wind load for a single-target structural response (S-ESWL here). However, it is still challenging to apply these methods to large and intricate structures. Evaluation methods based on multiple targets have then been proposed (M-ESWLs here). Unfortunately, These methods often provide erratic load patterns leading to difficulties in initial designs. This research aims to evaluate wind loads for all-target structural responses via only a few numbers of load distributions. The concept of the clustering analysis is converged with the M-ESWL methods. Similar structural dynamic responses are categorized into the same cluster. By the single value decomposition technique, the M-ESWLs are generated based on fewer load vectors. An example of a pedestrian bridge containing a curved steel arch with significant coupling features was given. Results showed that the approach proposed in this research provided fair consistencies of 528 target displacement responses with only eight load patterns. Furthermore, the load patterns showed more realistic distributions in values than the load pattern produced by the method based on the Universal Equivalent Static Wind Load.

等效静风载荷的评估一直是风力工程研究中最重要的主题之一。多年来，已经开发出了用于评估单目标结构响应的等效静风荷载的方法（此处为S-ESWL）。然而，将这些方法应用于大型而复杂的结构仍然具有挑战性。然后提出了基于多个目标的评估方法（此处为M-ESWL）。不幸的是，这些方法通常提供不稳定的负载模式，从而导致初始设计困难。这项研究旨在仅通过少数几个载荷分布来评估风荷载对所有目标结构的响应。聚类分析的概念已与M-ESWL方法融合。相似的结构动力响应被归类到同一集群中。通过单值分解技术，基于较少的负载矢量生成M-ESWL。给出了一个人行天桥的例子，该人行天桥包含具有明显连接特征的弧形钢拱。结果表明，本研究中提出的方法仅在8种载荷模式下提供了528个目标位移响应的合理一致性。此外，与通过基于通用等效静态风荷载的方法产生的荷载模式相比，荷载模式在值上显示出更实际的分布。结果表明，本研究中提出的方法仅在8种载荷模式下提供了528个目标位移响应的合理一致性。此外，与通过基于通用等效静态风荷载的方法产生的荷载模式相比，荷载模式在值上显示出更实际的分布。结果表明，本研究中提出的方法仅在8种载荷模式下提供了528个目标位移响应的合理一致性。此外，与通过基于通用等效静态风荷载的方法产生的荷载模式相比，荷载模式在值上显示出更实际的分布。