Article(id=1282037415128842518, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.12.0140, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755100800000, receivedDateStr=2025-08-14, revisedDate=1761148800000, revisedDateStr=2025-10-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1783591138869, onlineDateStr=2026-07-09, pubDate=1766851200000, pubDateStr=2025-12-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783591138869, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783591138869, creator=13701087609, updateTime=1783591138869, updator=13701087609, issue=Issue{id=1282037390130790473, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='12', pageStart='1', pageEnd='259', issueExtLink='null', onlineDate='null', pubDate='1766851200000', pubDateStr='2025-12-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783591132910, creator='13701087609', updateTime=1783593783109, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048505929777979, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048505929777980, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=78, endPage=87, ext={EN=ArticleExt(id=1282037415384695063, articleId=1282037415128842518, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Optimal design of school bus intelligent airbags for enhanced safety of middle-sized children, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

In order to mitigate biomechanical injuries sustained by middle-sized children during frontal collisions of school buses, this study investigated the optimal design of intelligent airbags. Initially, a validated school bus simulation model was constructed based on sled test data. Subsequently, methods for determining head, thorax, and femur injury values for a 10-year-old THUMS dummy were established, and the model, including the school bus restraint system, THUMS dummy and intelligent airbag, was developed. Next, based on NSGA-III, the adaptive propagation factors were proposed, the Gaussian mutation operator and the evolutionary mechanism of the particle swarm optimization method were introduced, and the non-dominated sorting level was improved, thus putting forward the improved NSGA-III. Finally, the design optimization of the intelligent airbag was conducted using the improved NSGA-III to determine the optimal configuration of the airbag. The results demonstrate that the improved NSGA-III outperforms the other three state-of-the-art optimization algorithms. Under normal, 10° forward tilt, 20° forward tilt, 5° right tilt, 10° right tilt and lying sitting postures, the head injury criterion (HIC₁₅), intracranial pressure (IP), liver pressure (LP), left and right femur forces (F_L and F_R, respectively), and weighted injury criterion (WICC) for middle-sized children are significantly reduced when the proportional coefficient of the gas mass-flow rate of the inflation valve, the opening pressure and opening coefficient of the deflation valves, and the installation height of the air bag are set at 1.23, 1.37×10⁵ Pa, 2.10, and 478 mm, respectively.

, authors=Liang HONG, Zhihao CHEN, Peng LIU, authorsList=Liang HONG, Zhihao CHEN, Peng LIU, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282037417267937562, articleId=1282037415128842518, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=面向中等身材儿童安全的校车智能气囊优化设计, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为减轻校车正面碰撞中，中等身材儿童的生物力学损伤程度，开展智能气囊的优化设计研究。首先，基于台车试验，构建、验证校车仿真模型；其次，确立10岁儿童全方位人体安全模型（THUMS）假人头部、胸部与腿部损伤指标的输出方法，搭建校车-THUMS假人-智能气囊耦合模型；然后，基于第三代非支配排序遗传算法（NSGA-III），提出自适应传播因子、引入高斯变异算子、融合粒子群进化机制、改变非支配排序方法，从而提出改进型NSGA-III；最后，利用改进型NSGA-III，开展优化设计，获得气囊的最优配置。结果表明：改进型NSGA-III的性能优于其他3种著名的优化算法；正常、前倾10和20°、右倾5和10°及躺卧坐姿下，当充气阀的气体质量流率比例系数、泄气阀的开启压力和开度系数、气袋的安装点高度分别为1.23、1.37×10⁵ Pa、2.10与478 mm时，中等身材儿童的头部伤害指标（HIC₁₅），颅内压力（IP），肝脏压力（LP），左、右大腿力（F_L、F_R），加权伤害指标（WICC）明显下降。

, authors=洪亮副教授, 陈志豪, 刘鹏, authorsList=洪亮副教授, 陈志豪, 刘鹏, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=nFoGPM2vp3i5hC4BTkgaMA==, magXml=yiOg03sUzbD/DqwB+HrK/A==, pdfUrl=null, pdf=Vv2xeRRdfwHwIVbUlyhsiw==, pdfFileSize=5654131, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=J0VpRXKCIsGJ+iSvbV5VgA==, mapNumber=null, fund=null)}, authors=[Author(id=1282037417603481887, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037415128842518, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=loudly1986@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282037417687367969, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037415128842518, authorId=1282037417603481887, language=EN, stringName=Liang HONG, firstName=Liang, middleName=null, lastName=HONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282037417762865442, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037415128842518, authorId=1282037417603481887, language=CN, stringName=洪亮副教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=江苏大学 汽车与交通工程学院，江苏 镇江 212013, bio={"content":"

洪亮（1986—），男，江苏镇江人，博士，副教授，主要从事汽车安全与人体生物力学方面的研究。E-mail: loudly1986@126.com。

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洪亮（1986—），男，江苏镇江人，博士，副教授，主要从事汽车安全与人体生物力学方面的研究。E-mail: loudly1986@126.com。

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