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2017 1

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新材料；人工智能；自主实验；智能计算；材料大数据 1

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Dynamic material performance of cold-formed steel hollow sections: a state-of-the-art review

Cameron B. RITCHIE, Jeffrey A. PACKER, Xiao-Ling ZHAO, Amin HEIDARPOUR, Yiyi CHEN

《结构与土木工程前沿（英文）》 2017年第11卷第2期页码 209-227 doi: 10.1007/s11709-017-0388-8

摘要： This paper presents a literature review focused on the material performance of cold-formed, carbon steel, hollow structural sections under impulsive (highly dynamic) loading. Impulsive loading, represented by impact and blast, is characterized by a very rapid, time-dependent loading regime in the affected members and materials. Thus, the effect of high-strain-rate loading is initially reviewed. Next the material toughness, an important energy-absorption property and one measure of a material’s ability to arrest fracture, is considered by means of studying the Charpy V-notch behavior. The response of hollow sections under axial and lateral impact loading is then reviewed. ??Studies of blast on hollow sections, most of which fall under the categories of contact/near-field loading or far-field loading are presented. Under large-scale field blast experiments, cold-formed hollow sections have shown excellent behavior. Software for modeling blast loading and structural response, the latter including single degree of freedom analysis and explicit finite element analysis, is described and discussed.

关键词： cold-formed steel hollow structural sections composites impulsive loading impact blast experimentation analysis material properties

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新材料研发智能化技术发展研究

宿彦京,杨明理,祝伟丽,周科朝,薛德祯,汪洪 ,谢建新

《中国工程科学》 2023年第25卷第3期页码 161-169 doi: 10.15302/J-SSCAE-2023.03.015

摘要：

新材料研发智能化技术发展迅速，显著增强材料研发效率及工程化应用水平，获得国际性的高度关注；我国在此领域发展相对滞后，基础设施条件面临缺口，制约着新材料原始创新及产业发展质量。本文总结了新材料研发智能化涉及的关键技术，从技术角度梳理了国内外发展现状，分析了我国新材料研发智能化面临的挑战；阐述了新材料研发智能化技术体系框架，包括材料智能计算设计技术与核心软件、材料自主 / 智能实验技术与高端装置、材料人工智能基础算法及关键技术、材料数字孪生、材料智能化研发平台与协同创新网络等。提出了创新生态构建及保障、产业化发展环境、数据底座与标准体系、人才培养与国际合作方面的举措建议，以期推动新材料研发智能化技术体系的发展与应用。

关键词：新材料；人工智能；自主实验；智能计算；材料大数据