Suppr超能文献

脂肪族硝基化合物、含其他官能团的脂肪族硝基化合物及硝酸盐炸药撞击感度的预测。

Prediction of impact sensitivity of nitroaliphatic, nitroaliphatic containing other functional groups and nitrate explosives.

作者信息

Keshavarz Mohammad Hossein

机构信息

Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O. Box 83145/115, Islamic Republic of Iran.

出版信息

J Hazard Mater. 2007 Sep 30;148(3):648-52. doi: 10.1016/j.jhazmat.2007.03.022. Epub 2007 Mar 12.

Abstract

This paper describes a new method for prediction of impact sensitivity of nitroaliphatic, nitroaliphatic containing other functional groups and nitrate explosives. The new procedure is based on some structural parameters of C(a)H(b)N(c)O(d) explosives. Three essential parameters would be needed in this scheme which contain a+b/2-d and the number of nitrogens as well as the number of RC(NO(2))(2)CH(2) structural parameters attached to oxygen of carboxylate functional groups where R is alkyl groups. The results are compared with experimental data and some empirical correlations. Predicted impact sensitivities for 58 explosives have a root mean square (rms) of deviation from experiment of 27 cm, which show good agreement with respect to measured values as compared to previous empirical models.

摘要

本文描述了一种预测脂肪族硝基化合物、含其他官能团的脂肪族硝基化合物及硝酸盐炸药撞击感度的新方法。新方法基于C(a)H(b)N(c)O(d)炸药的一些结构参数。该方案需要三个基本参数,包括a + b/2 - d、氮原子数以及连接在羧基官能团氧原子上的RC(NO(2))(2)CH(2)结构参数的数量,其中R为烷基。将结果与实验数据及一些经验关联进行了比较。58种炸药的预测撞击感度与实验值的均方根偏差为27厘米,与先前的经验模型相比,与测量值显示出良好的一致性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验