Differential Modeling and Intelligent Load Derivation for Building Structures Based on Python
(1.School of Civil Engineering, North China University of Technology, Beijing 100144, China; 2.Beijing Yingjianke Software Co., Ltd., Beijing 100083, China)
Abstract
This paper addresses modeling challenges and errors arising from structural differences between standard and special floors. By utilizing Python to interface with the secondary development API of Yingjianke (YJK) structural design software v7.0.0, the general structural design calculation workflow is optimized, and a differentiated automated modeling and intelligent load derivation program is developed. The program is validated via an engineering case study using actual parameters, confirming its advancement and feasibility. Compatible with current mainstream structural design environments, it contributes to enhanced design efficiency and quality for complex building structures.
Keywords
Python programming; YJK software; differentiated modeling; intelligent load derivation; structural design automation
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About the authors
Xin Bingchen (2004-), male, Han ethnicity, from Yantai, Shandong Province, undergraduate studies, research direction: intelligent construction; Guo Meng (1989-), male, Han ethnicity, from Baoding, Hebei Province, China, software engineer, bachelor's degree, research direction: intelligent construction; Bai Yuxing (1973-), male, Han ethnicity, from Heshun, Shanxi Province, is the head of the Department of Civil Engineering and a second level discipline responsible professor. He is a master's student with research interests in steel structure design theory and intelligent construction; Yu Wenhong (1966-), male, Han nationality, from Ningbo, Zhejiang, associate professor, doctoral student, research direction: intelligent construction.