Article(id=1281608103808447392, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.04.0187, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760371200000, receivedDateStr=2025-10-14, revisedDate=1767974400000, revisedDateStr=2026-01-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488783075, onlineDateStr=2026-07-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488783075, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488783075, creator=13701087609, updateTime=1783488783075, updator=13701087609, issue=Issue{id=1281608054340829934, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='4', pageStart='1', pageEnd='286', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488771281, creator='13701087609', updateTime=1783588648031, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282026967885124001, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282026967885124002, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=262, endPage=270, ext={EN=ArticleExt(id=1281608104018162593, articleId=1281608103808447392, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Joint simulation method of offshore platform noise based on sound ray tracing method and SEA, columnId=1149735805633081985, journalTitle=China Safety Science Journal, columnName=Occupational Health, runingTitle=null, highlight=null, articleAbstract=

In order to accurately predict the noise distribution of offshore platforms to prevent occupational noise hazards, a joint simulation method combining the sound ray method and SEA method was proposed to solve the problem that the traditional single noise prediction method was difficult to take into account the structural sound and air sound propagation characteristics and could not describe the large-scale spatial sound field distribution in detail. In this method, SEA was used to simulate the acoustic propagation characteristics of the structure, and the acoustic propagation law of the air in the large space of the deck was simulated by the sound ray method. Taking an offshore central platform as the research object, a joint simulation model was constructed based on the measured vibration and noise source intensity data. The sound field distribution of each deck was simulated and calculated, and the effectiveness of the method was verified by a spatial grid noise test. The results show that the contribution of air acoustic energy to the total noise energy of each deck of the offshore platform is more than 50 %, which is higher than that of structural acoustic energy. Obstacles such as large-scale equipment, production area rooms and firewalls have a significant effect on noise shielding, and air sound propagation has a more prominent impact on the spatial sound field distribution of the deck, the joint simulation results are in good agreement with the measured results, and the overall average difference between the prediction and the test data is within 2 dB, which can realize the high-precision prediction of the spatial sound field distribution of the offshore platform deck.

, authors=Yue Zhang¹, Tao Liu¹, Zhongxu Kang^{**, 2}, Wei Zhou¹, Rui Wu², Kunliang Chen¹, authorsList=Yue Zhang, Tao Liu, Zhongxu Kang, Wei Zhou, Rui Wu, Kunliang Chen, authorCompany=null, correspAuthors=Zhongxu Kang, 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=1281608104538256293, articleId=1281608103808447392, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于声线法与SEA的海上平台噪声联合仿真方法, columnId=1281608104106242978, journalTitle=中国安全科学学报, columnName=职业健康, runingTitle=null, highlight=null, articleAbstract=

为精准预测海上平台噪声分布以防治职业噪声危害，针对传统单一噪声预测方法难以兼顾结构声与空气声传播特性、无法细致描述大尺度空间声场分布的问题，提出融合声线法与统计能量分析（SEA）的联合仿真方法。该方法采用SEA模拟结构声传播特征，通过声线法精细化模拟甲板大空间空气声传播特征。以某海上中心平台为研究对象，基于实测振动与噪声源强数据构建联合仿真模型，仿真计算各层甲板声场分布，并通过空间网格化噪声测试验证方法有效性。结果表明：海上平台各层甲板噪声总能量中，空气声能量贡献占比超50%，高于结构声；大尺寸设备、生产区用房及防火墙等障碍物对噪声遮挡作用显著，空气声传播对甲板空间声场分布影响更为突出；联合仿真结果与实测结果吻合良好，预测与测试数据整体平均差异在2 dB之内，可实现海上平台甲板空间声场分布的高精度预测。

, authors=张悦高级工程师¹, 刘涛高级工程师¹, 康钟绪研究员^{**, 2}, 周伟高级工程师¹, 吴瑞研究员², 陈坤亮工程师¹, authorsList=张悦高级工程师, 刘涛高级工程师, 康钟绪研究员, 周伟高级工程师, 吴瑞研究员, 陈坤亮工程师, authorCompany=null, correspAuthors=康钟绪研究员, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=mzN73dqHQfWKPjIeNgsutA==, magXml=cX9aRqzRH7pH9ebtYgYiHQ==, pdfUrl=null, pdf=/Zppsf+vzOQU3pJE8FCLaA==, pdfFileSize=8125268, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=jhtQM/NGRjwOwfMfbbPTJA==, mapNumber=null, fund=null)}, authors=[Author(id=1281608104999629741, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608103808447392, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zhangyue032@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281608105096098735, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608103808447392, authorId=1281608104999629741, language=EN, stringName=Yue Zhang, firstName=Yue, middleName=null, lastName=Zhang, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹Engineering Research and Design Institute, CNOOC Research Institute Ltd., Beijing 100028, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281608105171596208, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608103808447392, authorId=1281608104999629741, language=CN, stringName=张悦高级工程师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹中海油研究总院有限责任公司 工程研究设计院，北京 100028, bio={"content":"

张悦（1986—），女，河南新乡人，博士，高级工程师，主要从事噪声与振动控制、职业病防护设施设计、定量风险评估等方面的工作。E-mail:zhangyue032@163.com。

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张悦（1986—），女，河南新乡人，博士，高级工程师，主要从事噪声与振动控制、职业病防护设施设计、定量风险评估等方面的工作。E-mail:zhangyue032@163.com。

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