人工智能辅助设计教学在本科抗震课程中的探索

Exploration of AI‑Assisted Design Teaching in Undergraduate Earthquake‑Resistant Courses

摘要: 结构抗震原理课程长期面临两大教学困境：一是结构抗震机理复杂，实体结构振动台试验昂贵，学生难以通过实际震动联系复杂机理；其二，2024年版《建筑抗震设计标准》局部修订发布后，教材内容与现行规范存在系统性脱节。本文提出以人工智能辅助设计教学为核心，从“振动台虚拟仿真实验的人工智能实时指导”和“新规范知识的AI辅助更新”两个维度推进课程改革。通过人工智能辅助，可以在课堂中更高效直观地展示结构件的抗震机理，帮助学生理解教材中的重难点问题，并与标准中的计算方法和构造措施进行逻辑链串联。

Abstract: The course Principles of Structural Seismic Resistance has long confronted two major teaching dilemmas. First, the seismic resistance mechanisms of structures are intricate, and physical shaking table tests are costly, making it difficult for students to correlate complex mechanisms with real seismic vibration. Second, following the issuance of partial revisions to the 2024 edition of the Standard for Seismic Design of Buildings, systematic discrepancies exist between textbook contents and the current code. Centered on AI-aided design teaching, this paper proposes curriculum reforms from two perspectives: real-time AI guidance for virtual simulation experiments of shaking tables and AI-assisted updating of knowledge aligned with the new code. With AI assistance, the seismic mechanisms of structural components can be demonstrated more efficiently and intuitively in class, enabling students to grasp key and difficult points in textbooks, and establishing logical connections with calculation methods and structural detailing requirements specified in the standard.